Tomato fruits as a Potential source of Pectinolytic Enzyme Production by Pathogenic Fungi
H. A. Akinyele, M. F. Siyanbola, C. E. Odjede, M. O. Ukhureigbe, C.I Nwokeoma, Abdulmuiz A. Akinyele February 2023 – Page No.: 01-09
Microbes are well known source for the production of extracellular enzymes and industrial important secondary metabolites. Since fruits contain pectin, hence any microorganism that will involve in their spoilage must naturally possess cell wall destroying ability. This study was aimed at isolation and characterization of pectinase producing fungi from Tomato fruits. Tomato fruits were collected from Bodija. Market, Ibadan, Nigeria. Spoilage fungi were isolated and characterized with standard techniques. Six (6) fungi were isolated from the fruits: Aspergillus niger, Penicillium nigricans, Rhizopus stolonifer, Fusarium oxysporium and Trichoderma harzanium. The fungi were screened for the pectinolytic enzyme production on solid media. Among the isolates, Aspergillus niger, Penicillium nigricans, Rhizopus stolonifer and Fusarium oxysporium were selected for pectinase production using solid state fermentation (SSF) with Orange peel. Crude enzyme production was optimized with pH, temperature, substrate concentrations and incubation period. All the isolates produced maximally at pH 7, 1.5 substrate concentration , 50 0C and 72Hr incubation except Penicillium nigricans at pH(5) and temperature of 40oC. These organisms can further be studied for their enzymes to be purified and characterized.
Page(s): 01-09 Date of Publication: 28 February 2023
H. A. Akinyele
Department of Microbiology, Federal University, Oye Ekiti, Ekiti State, Nigeria.
M. F. Siyanbola
Department of Biological Science, the Polytechnic Ibadan, Oyo State, Nigeria.
C. E. Odjede
Department of Biological Science, the Polytechnic Ibadan, Oyo State, Nigeria.
M. O. Ukhureigbe
Department of Biological Science, the Polytechnic Ibadan, Oyo State, Nigeria.
C.I Nwokeoma
Department of Biological Science, the Polytechnic Ibadan, Oyo State, Nigeria.
Abdulmuiz A. Akinyele
Department of Science Laboratory Technology, Federal Polytechnic Ayede, Oyo State, Nigeria
*Corresponding Author
1. Abdullah, R., Farooq I., Kaleem, A., Iqtedar, M, M. And Iftikhar, T. 2018. Pectinase from Aspergillus niger IBT – 7 using solid state fermentation. Bangladesh journal of Botany 47,473- 478. doi.org/10.3329/bjb.v47i3.38714
2. Akhter, N., Morshed, M. A., Uddin, A., begun, F., Sultan., T. And Azad A. K 2011. Production of pectinase of Aspergillus niger cultured in solid state media International journal bioscience, 1,33 – 42.
3. Akinmusire, O. O., 2006. “Fungi species associated with the spoilage of some edible fruits in maiduguri, North Eastern Nigeria.” Advances in Environmental Biology, vol. 5, pp. 157-161.
4. Akinyele A. Hafiz, Babalola A Moses, Nwokeoma Cheryl and Adesemoye A. Elizabeth. 2017. Isolation of Fungi from Sawdust and their Ability to Produce Pectinase. FJPAS Vol 2(1): 244-251.
5. Akinyele H.A., Taliat A.A.T. Enwerem G.C. , Dawodu O.G and Owojuyigbe O.S. 2020. LignocellulosicWaste Degradation Potential of Some Cellulolytic Fungal Strains Isolated from Putrid Fruits. J Pure Appl Microbiol 14(4):2585-2593. https://doi.org/10.22207/JPAM.14.4.34
6. AL-Najada, A. R., AL-Hindi R, R., Mohammed S. A 2012. Characterization of polygalacturonase from fruit spoilage Fusarium oxysporum and Aspergillus tubingenesis. African journal biotechnology, 11, 8527 – 8536. DOI: 10.5897/AJB12.355
7. Beg Q. K., Bhushan B., Kapoor M., and Hoondal G. S. 2000. “Production and characterization of thermostable xylanase and pectinase from Streptomyces sp. QG-11-3,” Journal of Industrial Microbiology and Biotechnology. vol. 24 (6): 396–402. doi.org/10.1038/sj.jim.7000010
8. Biz, A., Frarias F. C., Motter, F. A., De Paula, D. H., Richard,P., Krieger, N.and Mitchell, D. A 2014. Pectinase activity determination : An early deceleration in the release of reducing sugars throws a spanner in the works. PLoS ONE, 9, e 109529.
9. Droby, S. (2006). Improving quality and safety of fresh fruits and natural materials. Asiahorticulture. 709: 45 – 51.
10. Erinle, I. (2007). Tomato diseases in the Northern States of Nigeria, Agricultural . Extention Resource. Liaison Services, Extention. Bull No. 31.
11. Frazier, W. C. and Westhoff D. C. (2004). Food Microbiology 3rd Edition, McGraw-Hill Book Company, New York, St. Louis, London, pp. 17-40.
12. Jayani, R.S., Saxena, S. and Gupta, R. 2005. Microbial Pectinolytic enzymes: a review. Process Biochem. 40: 2931-2944. doi.org/10.1016/j.procbio.2005.03.026
13. Khatri, B.P., Bhattarai, T., Shrestha, S. and Maharjan, J. 2015. Alkaline thermostable pectinase enzyme from Aspergillus niger strain MCAS2 isolated from Manaslu Conservation Area, Gorkha, Nepal. Springerplus, 4, 488. doi.org/10.1186/s40064-015-1286-y
14. Kohli, P. and Gupta R. 2015. Alkaline pectinases: A review. Biocatalysis and Agricultural Biotechnology. 4: 279-285. doi.org/10.1016/j.bcab.2015.07.001
15. Martins E.S., Silva D., Da Silva R., Gomes E. (2002). Solid state production of thermostable pectinases from thermophilic Thermoascus aurantiacus. Process Biochemistry. 37 (9): 949-954. doi.org/10.1016/S0032-9592(01)00300-4
16. Masefield, G.B., Willis, M., Harrison, S.G. and Nicholson, B.E. (2002).The Oxford Book of Plants. Oxford University Press. Pp. 124-129.
17. Miller, G.L. Use of dinitrosalicylic acid reagent for determination of reducing sugar. Anal. Chem. 1959,31, 426–428.
18. Natalia Martin, Simone Regina de Souza, Roberto da Silva and Eleni Gomes. 2004. Pectinase Production by Fungal Strains in Solid-State Fermentation Using Agro-Industrial Bioproduct. Brazilian Archives of Biology and Technology. Vol.47, 5 : 813-819. doi.org/10.1590/S1516-89132004000500018
19. Patil, N.P. and Chaudhari, B.L. 2010. Production and purification of pectinase by soil Isolate Penicillium app and search for better agro residue for its SSF. Recent Research science and technology 2, 36 – 42.
20. Phutela, U., Dhuna,V., Sandhu, S. and Chadha, B.S. 2005. Pectinase and polygalacturonase production by a thermophilic Aspergillus fumigatus isolated from decomposting orange peels. Brazillian Journal of Microbiology. 36, 63–69. /doi.org/10.1590/S1517-83822005000100013
21. Rashmi, R., Murthy, K., Sneha, G.; Shabana, S.; Syama, A.; Radhika, V. 2008. Partial purification and biochemical characterization of extracellular pectinase from Aspergillus niger isolated from groundnut seeds. Journal of Applied Bioscience 9, 378–384.
22. Reda, A., Bayoumi, Hesham, M., Yassin, Mahmoud, A., Swelim, Ebtsam, Z. and Abdel. 2008. Production of bacterial pectinase from agro industrial wastes under solid state fermentation condition Journal of Applied Sciences Research, 4: 1708-1721.
23. Sharma N.R, Sasankan A.,Singh A.,Soni G. 2011. Production of polygalacturonase and pectin methyl esterase from agro waste by using isolates of Aspergillus niger, Insight Microbiology 1(1):1-7,ISSN 2041-0387. 10.5567/IMICRO-IK.2011.1.7
24. Singh, S., Mandal, S.K. 2012. Optimization of processing parameters for production of pectinolytic enzymes from fermented pineapple residue of mixed Aspergillus species. Jordan J. Biol. Sci. 5, 307–314.
25. Sudeep, K.C., Jitendra, U., Dev, R.J., Binod, L., Dhiraj, K.C, Bhoj, R.P., Tirtha, R.B., Rajiv, D. Santosh, K., Niranjan, K. and Vijaya, R. 2020. Production, Characterization, and Industrial Application of Pectinase Enzyme Isolated from Fungal Strains. Mdpi journal of fermentation, 6, 59. doi.org/10.3390/fermentation6020059
26. Thompson, H.C. and Kelly, W.C. (2000).Vegetable Crops.5th Ed.McGraw-Hill book company. London.Pp. 471-500.
27. Wogu M.D., Ofuase O. 2014. Microorganisms responsible for the spoilage of tomato fruits, lycopersicum esculentum, sold in markets in Benin City, Southern Nigeria. Scholar’s Academic Journal of Bioscience, Vol. 2 (7): 459-466.
28. Watt, B.K., and Merril, A.L. (2000).Composition of Foods – raw, processed, prepared.’Agricultural Handbook No. 8 Washington D.C. Agricultural Research Service, USDA.
29. Wheeler, B.E.J. (2005). An Introduction to Plant Diseases. John Wiley and Sons Ltd. London, New York., Sydney, Toronto.Pp. 185.
30. Yusuf L., Agieni G. A and Olorunmowaju A. I. 2020. Isolation and Identification of Fungi Associated With Tomato (Lycopersicon esculentum M.) ROT. Sumerianz Journal of Agriculture and Veterinary. Vol. 3, (5): 54-56.
31. Zhu, S. J. (2006). Non-chemical approaches to decay control in postharvest fruit. In Nourdaie B, Ngrig, S. (Eds), Advance in Postharvest Technology for Horticultural crops. Arteand Signpast, Trwandrum, India. Pp. 297-313.
H. A. Akinyele, M. F. Siyanbola, C. E. Odjede, M. O. Ukhureigbe, C.I Nwokeoma, Abdulmuiz A. Akinyele, “Tomato fruits as a Potential source of Pectinolytic Enzyme Production by Pathogenic Fungi” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.01-09 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/01-09.pdf
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Demorgraphic Transition Variables and Economic Outcomes in Nigeria
Onyinye Ifeoma Ochuba, Sigah Donny Marclary Ayibazuomuno February 2023 – Page No.: 10-18
The study examined the theory of demographic transition in the context of the Nigerian economy. This follows findings from literature that population in its entity does not translate to economic growth, rather specific demographic partitions. Using such demographic transition theory variables as Birth Rate, Death Rate, Female Primary School Enrollment (proxy for education) and Mobile Cellular Subscription (proxy for technology) as explanatory variables and Gross Domestic Product (proxy for economic growth) as dependent variable, the study adopted the econometric tools of ADF unit root test, Johansen Cointegration test and Parsimonious ECM to treat data from World Bank indicators and Central Bank of Nigeria statistical bulletin for a period of 30 years (1990 – 2019). The data output confirms a positive but insignificant relationship between birth rate and economic growth. Technology has a positive and significant relationship with economic growth while education and death rate have negative relationship with economic growth. The study suggests amongst other things adoption and deliberate investment in technological advancement in Nigeria, complete overhaul of the primary school system in country as this is the bedrock of education world over. Also, adequate investment should be made in the health sector to improve the current health outcomes which have resulted in very high death rate.
Page(s): 10-18 Date of Publication: 10 March 2023
Onyinye Ifeoma Ochuba
University of Africa, Toru orua, Bayelsa State, Nigeria
Sigah Donny Marclary Ayibazuomuno
University of Africa, Toru orua, Bayelsa State, Nigeria
1. Ademola, F., & Saibu, O. (2017). Does Population Change Matter for Long Run Economic Growth in Nigeria? International Journal of Development and Sustainability , 6 (12), 1955 – 1965.
2. Adeosun, O., Oni, A., Oladipo, A., Onuoha, S., & Yakassai, M. (2009). Teacher Training Quality and Effectiveness in the Context of Basic Education: An Examination of Primary EDucation Studies (PES) Programme in Two Colleges of Education in Nigeria. Journal of International Cooperation in Education , 12 (1), 107 – 125.
3. Agyei, W. (1978). Modernization and the Theory of Demographic Transition in the Developing Countries: The Case of Jamaica. Social and Economic Studies , 27 (1), 44 – 68.
4. Ahmed, H. (2004). Principles of Environmental Economics (2nd Edition). New York: Routledge.
5. Aidi, H., Emecheta, C., & Ngwudiobu, I. (2016). Population Dynamics and Economic Growth in Nigeria. Journal of Economics and Sustainable Development , 7 (15), 2222 – 1700.
6. Akinwale, Y., Sanusi, K., & Surujlal, J. (2018). An Empirical Analysis of ICT and Economic Growth in Nigeria. International Journal of eBusiness and eGovernance Studies , 10 (1), 129 – 142.
7. Alhassan, G., Adedoyin, F., Bekun, F., & Agabo, T. (2020). Does Life Expectancy, Death Rate and Public Health Expenditure Matter in Sustaining Economic Growth Under COVID- 19: Empirical Evidence from Nigeria. Wiley Public Health Emergency Collection , e2302.
8. Alimi, O., Fagbohun, A., & Abubakar, M. (2021). Is Population An Asset or a Liability to Nigeria’s Economic Growth? Evidence From FM-OLS and ARDL Approach to Cointegration. Future of Business Journal , 7 (20), 1 – 12.
9. Arnott, R., & Chaves, D. (2018). Demographic Changes, Financial Markets and the Economy. Financial Analysts , 48 (1), 23 – 46.
10. Ashraf, Q., Weli, D., & Wilde, J. (2013). The Effect of Fertility Reduction on Economic Growth. PMC , 97 – 130.
11. Bloom, D., Finlay, J., Humair, S., Mason, A., Olaniyan, O., & Soyibo, A. (2010). Prospects for Economic Growth in Nigeria. A Demographic Perspective. Paper presented at IUSSP Seminar . Paris.
12. Chete, L., Adeoti, J., Adeyinka, F., & Ogundele, O. (2014). Industrial Development and Growth in Nigeria: Lessons and Challenges. WIDER working Paper , WIDER Working Paper, No. 2014/019.
13. Devedzic, M., Natalija, M., & Gligorijevic, V. (2017). Does Specfic Demographic Education Change Young People’s Opinions About Reproduction? The Case of Serbia. Journal of Geographic in Higher Education , 283 – 304.
14. Forbes. (2020, March 20). How is Fertility Changing as Technology Advances? Forbes .
15. Fuchs, C. (2006). The Implication of New Information and Communication Technologies for Sustainability. Springer Scienece , 291 – 309.
16. Hassan, Z., Hashim, M., & Khan, G. (2020). Population Risk Factor for COVID-19 Deaths in Nigeria at Sub-national Level. The Pan African Medical Journal .
17. Houghton, J. (2010). ICT and the Environment in Developing Countries: A Review of Opportunities and Developments. Center for Strategic Economic Studies, Victoria University, Austrialia .
18. Mba, D. (2019, July 3). Why Nigeria Must Get Serious About Primary School Education. The Conversation
19. Monye-Emina, A. (2020). Rising Population in Nigeria: Challenges and Opportunities. In B. Aigbokhan, & H. Oaikhenan, Nigeria’s Socio-economic Challenges and development Option. Essays in honour of Prof(Mrs) C.E.E. Okojie (pp. 27 – 41). Benin City: Mindex.
20. National Bureau of Statistics. (2017). Demographic Statistics Bulletin. Abuja: NBS.
21. Obasola, O., & Mabawonku, I. (2018). Mother’s Perception of Maternal and Child Health Information Dissemination via Different Modes of ICT in Nigeria. Health Information and Libraries Journal , 35 (4).
22. Obasola, O., & Mabawonku, I. (2017). Women’s Use of Information and Communication Technology in Assessing Maternal and Child Health Information in Nigeria. African Journal of Library Archives and Information Science , 27, 1 – 15.
23. Ogunjimi, J., & Oladipupo, D. (2018). Dynamics of Demorgraphic Structure and Economic Growth in Nigeria. MPRA , Paper Number 94988.
24. Ogunleye, O., & Owolabi, O. (2018). Population Growth and Economic Growth in Nigeria;An Appraisal. International Journal of Management, Accounting and Economics , 5 (5), 2383 – 2126.
25. Okundaye, K., Fan, S., & Dwyer, R. (2019). Impact of Information and Communication Technology in Nigerian Small to Medim Sized Enterprises. Journal of Economic,Finance and Administrative Sciences , 24 (47), 29 – 49.
26. Ololade, G., Omotoso, K., & Asa, S. (2021, Feburary 02). Family Size: Why Some Nigerian Men Wants More Children. The Conversation .
27. Peterson, E. (2017). The Role of Population in Economic Growth. Sage , 7 (4).
28. Pham, T., & Vo, D. (2019). Aging Population and Economic Growth in Developing Countries: A Quantile Regression Approach. Emerging Market Finance and Trade , 57 (1), 108 – 122.
29. Population Education. (2020, September 24). What Factors Affect the Total Fertility Rate , or TFR. Population Education , pp. https://populationeducation.org/what-factors-affect-the-total-fertility-rate-or-tfr/.
30. Sengupta, S. (2020). Corona Virus, Population and the Economy: A long term Perspective. The Indian Journal of Economics , 27 (3), 323 -340.
31. Soto, A. (2021, Feb 18). Africa’s Largest Economy Unexpectedly Exist Recession. Bloomberg , p. https://www.bloomberg.com/news/articles.
32. Tietenberg, T., & Lewis, L. (2009). Environmental & Natural Resource Economics. (8. ed, Ed.) New York: Pearson.
33. Ukwuoma, H. (2019). The Effect of ICT on Economic Growth in Nigeria. International Journal of Management, Technology and Engineering , 4 (2), 2292 – 2303.
34. Umeh, J. (2020, October 14). Why African Economy needs 360 Degree Digitalisation Approach . Vanguard .
35. United Nations. (2021). UN World Population Prospects(Revisied 2019). Geneva: United Nations.
36. World Bank. (2021). Datacatalog. Washington DC: World Bank.
37. World Bank. (2018). Learning to Realize Education’s Promse. Washington DC: World Bank Group.
Onyinye Ifeoma Ochuba, Sigah Donny Marclary Ayibazuomuno, “Demorgraphic Transition Variables and Economic Outcomes in Nigeria” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.10-18 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/10-18.pdf
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IoT Applications towards the Implementation of Dynamic Artificial Lighting in the Workplace
Silfia Mona Aryani, Arif Kusumawanto, Jatmika Adi Suryabrata February 2023 – Page No.: 19-28
Dynamic lighting requires a support system to set and control lighting according to the design. With advances in lighting technology and the internet, lighting settings do not need to be done manually. This article will discuss the Internet of Things (IoT) based applications, namely Blynk and WiZ. In the installation process, Blynk effectively connects the lamps used for research with the WiZ application. The WiZ application is needed to arrange the illuminance level, correlated color temperature (CCT), and the lights’ placement for creating dynamic lighting. This advantage makes Blynk and WiZ potentially effective for everyday use, including in the workplace. However, there are limitations to both applications that must be considered and anticipated to maximize their utilization.
Page(s): 19-28 Date of Publication: 10 March 2023
Silfia Mona Aryani
Universitas Gadjah Mada, Faculty of Engineering Department Architecture and Planning, Yogyakarta Indonesia
Universitas Sebelas Maret, Faculty of Arts and Design, Department of Interior Design, Surakarta Indonesia
Arif Kusumawanto
Universitas Gadjah Mada, Faculty of Engineering Department Architecture and Planning, Yogyakarta Indonesia
Jatmika Adi Suryabrata
Universitas Gadjah Mada, Faculty of Engineering Department Architecture and Planning, Yogyakarta Indonesia
1. amBX. (2017). Bio-adaptive Lighting : implications for the workplace.
2. Artiyasa, M., Nita Rostini, A., Edwinanto, & Anggy Pradifta Junfithrana. (2021). Aplikasi Smart Home Node Mcu Iot Untuk Blynk. Jurnal Rekayasa Teknologi Nusa Putra, 7(1), 1–7. https://doi.org/10.52005/rekayasa.v7i1.59
3. Bangsawan, N. J. (2013). Pemodelan Kenyamanan Visual Ruang Kerja Kantor di Indonesia. Universitas Gadjah Mada.
4. Boyce, P. R., Hunter, C., & Howlett, O. (2003). The Benefits of daylight through windows (Vol. 1). https://doi.org/12180-3352
5. Burnett, D. (2012). Circadian Adaptive Lighting: A Landmark Paradigm Shift with Unprecedented ROI Potential.
6. Canazei, M., Dehoff, P., Staggl, S., & Pohl, W. (2014). Effects of dynamic ambient lighting on female permanent morning shift workers. Lighting Research and Technology, 46(2), 140–156. https://doi.org/10.1177/1477153513475914
7. De Kort, Y. A. W., & Smolders, K. C. (2010). Effects of dynamic lighting on office workers: First-year results of a longitudinal field study. Lighting Research &Technology, 42, 345–360.
8. Durani, H., Sheth, M., Vaghasia, M., & Kotech, S. (2018). Smart automated home application using IoT with Blynk App. Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2018, 393–397. https://doi.org/10.1109/ICICCT.2018.8473224
9. Engwall, M., Fridh, I., Johansson, L., Bergbom, I., & Lindahl, B. (2015). Lighting, sleep and circadian rhythm: An intervention study in the intensive care unit. Intensive and Critical Care Nursing, 31(6), 325–335. https://doi.org/10.1016/j.iccn.2015.07.001
10. Gabel, V., Maire, M., Reichert, C. F., Chellappa, S. L., Schmidt, C., Hommes, V., Viola, A. U., & Cajochen, C. (2013). Effects of Artificial Dawn and Morning Blue Light on Daytime Cognitive Performance, Well-being, Cortisol and Melatonin Levels. Chronobiology International, 30(8), 988–997. https://doi.org/10.3109/07420528.2013.793196
11. Gomes, C. C., & Preto, S. (2015). Blue light: A blessing or a curse? Procedia Manufacturing, 3(Ahfe), 4472–4479. https://doi.org/10.1016/j.promfg.2015.07.459
12. Harir, R., Novianta, M. A., & Kristiyana, Dr. S. (2019). Perancangan aplikasi Blynk untuk monitoring dan kendali penyiraman tanaman. Jurnal Elektrical, 6(1), 1–10. https://www.99.co/blog/indonesia/harga-pompa-air-mini/
13. Herlina, A., Syahbana, M. I., Gunawan, M. A., & Rizqi, M. M. (2022). Sistem Kendali Lampu Berbasis Iot Menggunakan Aplikasi Blynk 2 . 0 Dengan Modul Nodemcu Esp8266. 3(2), 61–66.
14. Jensen, H. I., Markvart, J., Holst, R., Thomsen, T. D., Larsen, J. W., Eg, D. M., & Nielsen, L. S. (2016). Shift work and quality of sleep: effect of working in designed dynamic light. International Archives of Occupational and Environmental Health, 89(1), 49–61. https://doi.org/10.1007/s00420-015-1051-0
15. Kim, D. H. (2018). Light and Emotion: Exploring Human Affect in Lighting [University College London]. https://discovery.ucl.ac.uk/id/eprint/10042464/
16. Kim, D. H., & Mansfield, K. (2021). Creating positive atmosphere and emotion in an office-like environment: A methodology for the lit environment. Building and Environment, 194(107686), 1–14. https://doi.org/10.1016/j.buildenv.2021.107686
17. Kim, S. Y., & Kim, J. J. (2007). Influence of light fluctuation on occupant visual perception. Building and Environment, 42(8), 2888–2899. https://doi.org/10.1016/j.buildenv.2006.10.033
18. Kim, Y. H., Lee, Y. Y., Ahmed, B., Son, M. G., Choi, J., Lee, J. H., & Lee, K. H. (2017). MudGet: Reproduction of the desired lighting environment using a smart-LED. Journal of Computational Design and Engineering, 4(3), 231–237. https://doi.org/10.1016/j.jcde.2017.02.006
19. Kim, Y. S., Kwon, S. Y., & Lim, J. H. (2016). Implementation of light quality evaluation system using smartphone. International Journal of Bio-Science and Bio-Technology, 8(3), 259–270. https://doi.org/10.14257/ijbsbt.2016.8.3.26
20. Kronqvist, A. (2012). Lighting Design in Computerised Offices. Chalmers University of Technology.
21. LED Strip Wireless. (n.d.).
22. Li, B., Zhai, Q. Y., Hutchings, J. B., Luo, M. R., & Ying, F. T. (2019). Atmosphere perception of dynamic LED lighting over different hue ranges. Lighting Research and Technology, 51(5), 682–703. https://doi.org/10.1177/1477153517702532
23. Lu, Y., Li, W., Xu, W., & Lin, Y. (2019). Impacts of LED dynamic white lighting on atmosphere perception. Lighting Research and Technology, 1–16. https://doi.org/10.1177/1477153518823833
24. Mazalan, N. (2019). Application of wireless internet in networking using NodeMCU and Blynk App. Seminar LIS 2019.
25. Pasau, A. M., Nasrun, M., & Setianingsih, C. (2019). Design of human behavior automatic lamp switch with Blynk platform. Proceedings – 2019 IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2019, 150–156. https://doi.org/10.1109/APWiMob48441.2019.8964163
26. Patel, S., & Salazar, C. (2016). Internet of Things-IOT : Definition, characteristics , architecture, enabling technologies, application & future challenges. International Journal of Engineering Science and Computing, 6(5), 6122–6131. https://doi.org/10.4010/2016.1482
27. Ramasamy, L. K., & Kadry, S. (2021). Internet of things ( IoT ). In Blockchain in the Industrial Internet of Things (Issue May, pp. 1–16). IOP Publishing. https://doi.org/10.1088/978-0-7503-3663-5ch1
28. Salazar, J., & Silvestre, S. (2017). Internet of Things (1st ed.). Czech Technical University of Prague.
29. Signify acquires WiZ Connected to further expand its leadership in connected lighting. (2019). https://www.signify.com/en-gb/our-company/news/press-releases/2019/20190416-signify-acquires-wiz-connected-to-further-expand-its-leadership-in-connected-lighting
30. Syaifuddin, A., Notosudjono, D., & Fiddiansyah, D. B. (2018). Rancang bangun miniatur pengaman pintu otomatis menggunakan sidik jari berbasis Internet of Things (IoT). Teknik Elektro, 1–13.
31. Wilianto, A. K. (2018). Sejarah, cara kerja dan manfaat Internet of Things. Matrix, 8(2), 36–41.
32. Wiz App Setup Instructions. (n.d.).
Silfia Mona Aryani, Arif Kusumawanto, Jatmika Adi Suryabrata , “IoT Applications towards the Implementation of Dynamic Artificial Lighting in the Workplace ” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.19-28 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/19-28.pdf
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The impact of mandatory continuous professional development program on nurses in the provision of quality Nursing care at Kwara State Nigeria
Olubiyi Simeon Kayode, Sunday Oluwafemi O, Umar N.J., Ibraheem M.A., Anyebe Emmanuel Ejembi, Adeniran T., Oyeleye D. Iyabode, Nababa S Kikelomo February 2023 – Page No.: 29-37
The study assesses the impact of Mandatory Continuous Professional Development Program on nurses in the provision of quality nursing care nurses at Kwara State, Nigeria. It employed cross-sectional descriptive designed method. The study participants included all nurses and midwives that attended the Kwara State Mandatory Continuing Professional Development Programme. A total of 87 questionnaires were administered using availability and purposive sampling technique, but 75 filled questionnaires were valid for data analysis. The instrument used for data collection in this study was a self-structure questionnaire. Data collected were analyzed through the use of descriptive and inferential statistics. Findings revealed that majority of the nurses and midwives, 49 (65.3%), attended the workshop for the purpose of equipping self for better service delivery, 33 (44%) attended Mandatory Continuous Professional Development Program workshop for the purpose of licensure renewal while others 29 (38.7%) attended so as to broaden their knowledge. It was also revealed that majority of the respondents, 72 (96%), believe the program added to their knowledge of care, and most 69 (92%) of the respondents said the knowledge gained changed their orientation towards patients’ care, while good number 70 (93.3%) of them believe that the knowledge gained during the program can improve the nursing care they would render. It was concluded that the mandatory continuous professional development programme has a lot of benefits the major motive behind the attendance of nurse and midwives at the mandatory continuous professional development programme workshop is for the purpose of equipping self for better service delivery.
Page(s): 29-37 Date of Publication: 10 March 2023
Olubiyi Simeon Kayode
University of Ilorin Ilorin, Nigeria
Sunday Oluwafemi O
University of Ilorin Ilorin, Nigeria
Umar N.J.
University of Ilorin Ilorin, Nigeria
Ibraheem M.A.
University of Ilorin Ilorin, Nigeria
Anyebe Emmanuel Ejembi
University of Ilorin Ilorin, Nigeria
Adeniran T.
University of Ilorin Ilorin, Nigeria
Oyeleye D. Iyabode
University of Ilorin Ilorin, Nigeria
Nababa S Kikelomo
University of Ilorin Ilorin, Nigeria
1. Bindon, S.L. (2017) Professional Development Strategies to Enhance Nurses` Knowledge and Maintain Safe Practice. AORN Journal. August. Vol.106 (August 2017) No. 2. pp. 99-110.
2. Chinemerem E, Dorathy N, Ifeyinwa S A. (2018) Effect of Mandatory Continuing Professional Development Programme on Scholastic Aptitude of Nurse Participants in Umuahia, Nigeria. International Journal of Education, Development, Society and Technology, Volume 6, Issue 3,
3. Davis, L., Taylor, H. & Reyes, H. (2014) Lifelong learning in nursing: A Delphi study. Nurse Education Today. Vol. 34 (2014). pp. 441–445
4. Eslamian, J., Moeinil, M., &Soleimani, M. (2015) Challenges in Nursing Continuing Education: A Qualitative Study. Iranian Journal of Nursing and Midwifery Research, 20(3): (2015).384-386.
5. Finnish Nurses Education (2017) Nurse and Nurse Education in Finland. Available from: https://www.nurses.fi/nursing and nurse education in f/.Accessed 13.10.2017
6. Glasper, A. Problems affecting the continuing professional development of nurses. British Journal of Nursing, 27(12), 714-715. doi:10.12968/bjon.2018.27.12.714
7. Laxmi P P and Sharmila S P (2018) Continuous Professional Development in Healthcare Lifelong learning for nurses in the workplace
8. Légaré, F., Freitas, A., Turcotte, S., Borduas, F., Jacques, A., Luconi, F., Godin, G., Boucher, A., Sargeant, J., &Labrecque, M. (2017) Responsiveness of a simple tool for assessing change in behavioral intention after continuing professional development activities’, PLoS ONE. Vol. 12, no. 5, pp. 1-13. Available from: 10.1371/Journal. Pone .0176678. Accessed on: 10.10.2017.
9. Ng, Y. (2017) The effect of continuing professional development from the perspective of nurses and midwives who participated in continuing education programs offered by Global Health Alliance Western Australia: Master of Philosophy (School of Nursing. University of Notre Dame Australia.. https://researchonline.nd.edu.au/theses/155
10. Pool, I.A., Poell, R.F., Berings, M.G. & Ten Cate, O.(2016) Motives and activities for continuing professional development: An exploration of their relationships by integrating literature and interview data. Nurse Education Today. Vol.38 (2016) pp. 22–28
11. Pryce-Miller, M., (2015) Continuing Professional Development, Using systematic reviews to inform nursing practice: Nursing Standard. Vol 29(52), (2015) pp. 52-58.
12. Plager, K. A., & Razaonandrianina, J. O. (2009) Madagascar nursing needs assessment: Education and development of the profession. International Nursing Review, 2009. 56, 58–64.
13. RCN (2007) Joint Statement of Continuing Professional Development for Health and Social Care Practitioners. Royal College of Nursing, London 2007
14. Royal College of Nursing (2018) Investing in a Safe and Effective Workforce: Continuing Professional Development for Nurses in the UK 2018 www.rcn.org.uk/professional-development/publications/pdf-007028
15. Simon A O, Antwi F B, Williams K P, Akua A M, Blesslove N P (2019). Continuous Professional Development on Job Performance of Registered Nurses in Ghana. International Scholars Conference Volume 7 Issue 1, October 2019, pp.116-128
16. Taylor, LE (2016) How to Develop Your Healthcare Career: A Guide to Employability and Professional Development, John Wiley & Sons, Incorporated, Chicester. Available from: ProQuest Ebook Central. (2016), pp 69-76
17. Tame, S. (2012) The Effect of Continuing Proffesional Education on Perioperative Nurses’ Relationships With Medical Staff: findings from a qualitative study. Journal of Advanced Nursing, 69(4):817-827. doi:10.1111/j.1365-2648.2012.06065.
18. Wood, I. (1998) The effects of continuing professional education on the clinical practice of nurses: a review of literature. International Journal of Nursing Studies, 35(3): (1998).125-131. doi:10.1016/S0020-7489(98)00021_2.
19. World Health Organization. 2016 The World Health Report. Health Systems: Improving Performance 2016 Geneva: World Health Organization.
20. WHO Millennium development goals. 2012 Retrieved from http://www.who.int/en/
Olubiyi Simeon Kayode, Sunday Oluwafemi O, Umar N.J., Ibraheem M.A., Anyebe Emmanuel Ejembi, Adeniran T., Oyeleye D. Iyabode, Nababa S Kikelomo, “The impact of mandatory continuous professional development program on nurses in the provision of quality Nursing care at Kwara State Nigeria” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.29-37 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/29-37.pdf
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Sport (County Meet) as a Unifying Force but a Miscalculated Prescription for Reconciliation in Liberia: A Meticulous Sociological Analysis
Dr. Ambrues Monboe Nebo (DSc.) February 2023 – Page No.: 38-47
Judging from the caption, this article, using the qualitative research approach, interrogates an interesting social phenomenon that the global community may not easily accept. The data collection sourced from relevant literature review comprised of articles, books, journals, and the web paged.
From the structural-functionalist or functionalism, and the conflict perspective termed as the theoretical frameworks, this paper doubts not the efficacy of sports, precisely the County Meet observed in Libera as a unifying force bringing together but a miscalculated prescription for reconciliation in Liberia. It sees sports as an emotional strategy or intervention but unrelated to the root causes of conflict that does not remove the semblances underlying the causes of the very conflict.
The paper argues that, as a context-driven concept, reconciliation is dictated by a society based on the nature, gravity, or complexity of the conflict. In the case of Liberia, this article argues that evidenced by the demand for justice, the Liberian society does not place a premium on sports (County Meet) as a pillar and strategy for reconciliation.
Judging from other societies that are still struggling with the ugly legacy and semblances of violent conflict despite the observance of sports as a tool for reconciliation, the paper concluded that although the Liberian society embraced the County Meet as a unifier but does not see it as a durable solution because it has nothing to do with the root causes of the 14 years of civil war. In other words, the civil war was not about the denial of sports. So, why use it as a strategy or invention to reconcile Liberia? Instead, the war was also about the issue of justice.
Finally, the paper through recommendation called upon practitioners and experts in the theater of peace and conflict studies to rethink sports as a unifying force to reconcile society emerging from violent conflict.
Page(s): 38-47 Date of Publication: 14 March 2023
Dr. Ambrues Monboe Nebo (DSc.)
Department of Sociology, Anthropology, & Criminology, Prof. Amos C. College of Social Sciences and Humanities, University of Liberia
1. Brian, W. (2020) Violence in sport https://www.aic.gov.au/publications/vt/vt4
2. Butty, J. (2012) George Weah to Lead Liberia’s National Reconciliation Effort https://www.voanews.com/a/liberia-weah-peace-ambassador/1558680.html
3. Centre for Humanitarian Dialogue (2022) Liberia roundtable offers impetus to essential reconciliation process before elections in 2023 reconciliation-process-before-elections-in-2023/ https://hdcentre.org/news/liberia-roundtable-offers-impetus-to-essential-
4. Coakley, J. J. (2001). Sport in Society: Issues & Controversies (7th ed., Health professions series). McGraw Hill.
5. Collins, R. (1990). Stratification, emotional energy, and the transient emotions. In Kemper, T.D.(Ed.), Research agendas in the sociology of emotions (27–57). Albany: State University of New York Press
6. Defyhatenow, (2020) The role of sport in uniting voices and creating avenues for positive peace. https://defyhatenow.org/the-role-of-sport-in-uniting-voices-and-creating-avenues-for-positive-peace/
7. Elias, N., & Dunning, E. (2008). Quest for excitement: sport and leisure in the civilizing process(Revised ed.). Dublin: University College Dublin Press.
8. Hayes, A (2022) Conflict Theory Definition, Founder, and Examples https://www.investopedia.com/terms/c/conflict-theory.as
9. Human Rights Watch (2018) Liberia: 76 Groups Seek Justice for War Crimes https://www.hrw.org/news/2018/07/05/liberia-76-groups-seek-justice-war-crimes
10. GAO (n.d.) U.S. – China Relations https://www.gao.gov/u.s.-china-relations
11. ISA Expresses (2022) India-Pakistan Relations: Evolution, Challenges & Recent Developments https://www.iasexpress.net/india-pakistan-relations/
12. ICTJ (2017) After the Rupture: Understanding Transitional Justice and Reconciliation https://www.ictj.org/news/rupture-relationships-transitional-justice-reconciliation
13. Keppler, E. (2018) Liberia Takes Small Step Toward Justice for War Crimes https://www.hrw.org/news/2018/07/10/liberia-takes-small-step-toward-justice-war-crimes
14. Krippahl, C. (2018) Liberians still seek justice for war crimes https://www.dw.com/en/liberians-still-seek-justice-for-war-crimes/a-44599243
15. Liden, D. (2022) What Is the Sociology of Sports? https://www.sportsnhobbies.org/what-is-the-sociology-of-sports.htm
16. LINA (2022) MYS Announces Start Of National County Sports Meet https://liberianewsagency.com/2022/12/12/mys-announces-start-of-national-county-sports-meet/
17. LINA (2020) Nimba Fined US$1,500k; Grand Kru Declared Winner Of 2020 County Meet https://liberianewsagency.com/2020/01/29/nimba-fined-us1500k-grand-kru-declared-winner-of-2020-county-meet/
18. Montville, J. (n.d.) ‘Justice and the burdens of history, in: Abu-Nimer (ed.), 129-143; IDEA, Reconciliation after violent conflict, 14; Lambourne, ‘Justice and reconciliation’, 315; and Assefa, ‘The meaning of reconciliation’, 44
19. Molenaar, A. (2005) Gacaca: grassroots justice after Genocide: The key to reconciliation in Rwanda? https://scholarlypublications.universiteitleiden.nl/access/item%3A2916994/view
20. Marwat, et al., (2022) Aggression And Violence In Sports, Its Effects On Sports Performance. http://journalppw.com
21. Oxche, T. (2008) Sport as a Tool for Reconciliation https://issafrica.org/iss-today/sport-as-a-tool-for-reconciliation
22. Obarrio, J. (n.d) Mozambique: Reconciliation without “Truth” https://hemisphericinstitute.org/en/emisferica-72/7-2-dossier/mozambique-reconciliation-without-qtruthq.html
23. Pulse (2019) CJN describes sports as unifying factor in Nigeria https://www.pulse.ng/news/local/cjn-describes-sports-as-unifying-factor-in-nigeria/c8mhtww
24. Penal Reform International, Access to justice in sub-Saharan Africa; Reyntjens, Introduction aux droits africains; and Vanderlinden, Les systèmes juridiques Africains.
25. Reliefweb, (2022) Kenya’s Political Violence Landscape in the Lead-Up to the 2022 Elections https://reliefweb.int/report/kenya/kenyas-political-violence-landscape-lead-2022-elections
26. Serena, B. (2008) The contribution of sport within the process of peace and reconciliation. From trauma healing toward social integration Case study: The impact of sports in Rift Valley-Kenya, after post-election violence. https://www.sportanddev.org/sites/default/files/downloads/dissertation_serena_borsani_february_2009.pdf
27. Sugden, J. (2010). Critical left-realism and sport interventions in divided societies. International Review for the Sociology of Sport, 45: 258-272.
28. Thompson, G. (2003). “South African Commission Ends Its Work”. The New York Times. ISSN 0362-4331. Retrieved 7 November 2022.
29. The News (2012) Liberia: CDC Gov’t to Establish War Crimes Court https://allafrica.com/stories/201210160922.html
30. The New Dawn (2022) CDC defends failure to establish War Crimes Court https://thenewdawnliberia.com/cdc-defends-failure-to-establish-war-crimes-court/
31. UN News Centre (2007) Play sports, not war, UN envoy tells Liberians https://news.un.org/en/story/2007/03/210672
32. United States Institute of Peace (2006) Truth Commission: Liberia https://www.usip.org/publications/2006/02/truth-commission-liberia
33. Vinck, P., Pham, P., & Kreutzer, T. (2011) Talking Peace http://www.peacebuildingdata.org/sites/m/pdf/Liberia_2011_Talking_Peace.pdf
Dr. Ambrues Monboe Nebo (DSc.), “Sport (County Meet) as a Unifying Force but a Miscalculated Prescription for Reconciliation in Liberia: A Meticulous Sociological Analysis” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.38-47 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/38-47.pdf
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The Level of Participation of Visually Impaired Persons in the Electoral Process in Zambia: A Rights Based Approach
Mileji Pauline, Magasu Oliver, Matafwali Beatrice, and Muleya Gistered February 2023 – Page No.: 48-52
The study sought to identify the level of participation of the visually impaired persons in the electoral process in Zambia. A phenomenological research study design was used. Data was collected using interviews and Focus Group Discussions (FGDs). Purposive sampling procedure was used to sample thirty participants. The key findings were that the level of participation of the persons with visual impairment in the electoral process was very low. The low voter participation by the visually impaired was attributed to low information being disseminated to the disabled persons regards elections and lack of sensitization. The study recommends that adequate and appropriate civic education should be delivered to the visually impaired persons. In this regard, there is need to adopt a human rights model that takes cognizance of the equality principles and thus, will guarantee the participation of the visually impaired persons at all levels of the electoral process.
Page(s): 48-52 Date of Publication: 14 March 2023
Mileji Pauline
Kwame Nkrumah University, Zambia
Magasu Oliver
Kwame Nkrumah University, Zambia
Matafwali Beatrice
UUniversity of Zambia, Zambia
Muleya Gistered
University of Zambia, Zambia
1. Article 29 (a) (ii) of the convention on the rights of persons with Disabilities.
2. Constitution of Zambia (1996). Lusaka, Government Printers
3. Buck Master and Thomas (2009). Social Inclusion and Social Citizenship; Towards A Truly Inclusive Society.www.researchgate.net
4. DeCarlo DK, Woo S, Woo GC. (2006). Patients with low vision. In: Benjamin WJ, editor. Borish’s clinical refraction. 2nd ed. Philadelphia: Elsevier; p. 1591–1618.
5. Degener, T., (2017). ‘A New Human Rights Model of Disability,’ in V. Della Fina, R. Cera& G. Palmisano (eds.), The United Nations convention on the rights of persons with disabilities: A commentary, pp. 41–60, Springer, Cham, Switzerland.
6. European Union Agency for Fundamental Rights (2014). EU MIDIS main Results Report.en.m.wikipedia.org.
7. Fatima, S. (2019). The Electoral Process: Training on Advocacy Engagement for Youth in the Electoral Process – Mozambique
8. Hurst, A. (2012). Automatically Generated Tactile Visualizations of Coordinated Spaces. University of Maryland/Baltimore County UMBC.
9. ILO (2001). Inclusion of the People with Disabilities in Uganda. HTTPs://www.ilo.org/wem sp.
10. International foundation for electoral system (2014). Annual report.www.ifes.org
11. Magasu, O. (2016). An evaluation of the management of electoral conflicts in Zambia. A Case Study of Lusaka District Conflict Management Committees. Lusaka: UNZA. Palevel.unza.zm
12. Magasu, O., Muleya, G, & Mweemba, L. (2020). Pedagogical Challenges in Teaching Civic Education. International Journal of Science and Research: 9(3) pp. 1483 – 1488
13. Meekosha, H, H. (1999). Political Activism and Identity Making: The Involvement of Women in Disability Rights Movement InAustralia.www.researchgate.net
14. Mileji, P. (2016). The Electoral Process and the Visually Impaired in Zambia: Absolute or Discriminatory? Paleveel.unza.zm
15. Mileji, P., Matafwali, B. & Muleya, G. (2021). Barriers of the Visually Impaired Persons in the Electoral Process. International Journal of Research and Scientific Innovation. 8(3). Pp. 182 – 188
16. Mulenga, B. (2008). Human Rights in Zambia: Implementation of the convention against torture. UNZA Press.
17. Munemo, E, T. (2015). Enhancement of Access and Inclusion of People with Visual Impairments in the Electoral Process in Zimbabwe. PHD Thesis. Harare: Zimbabwe Open University
18. Resource book on disability inclusion (2017). Light of the World.www.light-for-the-world.org.
19. Sackey, E. (2014). Disability and Political Participation in Ghana: An Alternative perspective. Scandinavian journal of disability research
20. Schur, L, et-al (2013). People with Disabilities: Sidelined or Mainstreamed. Cambridge press
21. Sherwin, S. (2010). Leadership for Social Inclusion in the Lives of People with Disabilities. The international journal of leadership in public services. Volume 6 supplement
22. The National disability council on disability (2012). An independent federal agency committed to disability policy.ncd.gov
23. The National Disability Council (2012). CRPD Jurisprudence. Disability Council International.Org
24. Virendra Kumar, B., Jolley, E., Badu, E. & Schmidt, E. (2018). Disability inclusive elections in Africa: A systematic review of published and unpublished literature. Disability & Society [22] Vickery ed. (2011 p.253), electoral compliance units. gsdrc.org.
Mileji Pauline, Magasu Oliver, Matafwali Beatrice, and Muleya Gistered , “The Level of Participation of Visually Impaired Persons in the Electoral Process in Zambia: A Rights Based Approach ” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.48-52 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/48-52.pdf
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Diversity of Brackish Water Fish in Several Rivers in Babulu Laut Village, Sub-district Babulu, District Penajam Paser Utara (PPU), East Kalimantan
Lariman, Andy Triawan Muhtazam , Dan Sus Trimurti February 2023 – Page No.: 53-62
Babulu Laut Village is an area where there is a brackish water river that is used by local residents as a source of water for pond cultivation. Until now, there is no information about the types of brackish water fish found in the river. This research aims to find out the diversity of brackish water fish in several rivers in Babulu Laut village, sub-district Babulu, district Penajam Paser Utara (PPU), East Kalimantan. This research conducted on October-December 2021. Sampling used purposive sampling and random sampling methods at three research stations. Fish sampling conducted by installing gill nets for 2 hours with checking every 30 minutes and using fishing rods for 1-2 hours. The results of the research was found 17 species of fish which represented 12 families among others Otek fish (Ariidae), Barokang fish (Ariidae), Keting fish (Ariidae), Terkulu fish (Carangidae), Bandeng fish (Chanidae), Bulu Ayam fish (Engraulidae), Teri fish (Engraulidae), Bungo fish (Gobiidae), Gerot fish (Haemulidae), Arut fish (Haemulidae), Kakap Merah fish (Lutjanidae), Bulan-Bulan fish (Megalopidae), Belanak fish (Mugilidae), Kiper fish (Scatophagidae), Gelama fish (Scianidae), Tetet fish (Scianidae), and Sumpit fish (Toxotidae). The results of the diversity index of fish species in the Babulu Laut Village River were classified as moderate with a diversity index (H’) value of 2.26, an evenness index of 0.80 and a dominance index of 0.16.
Page(s): 53-62 Date of Publication: 15 March 2023
Lariman
Department of Biology, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda, East Kalimantan, Indonesia
Andy Triawan Muhtazam
Department of Biology, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda, East Kalimantan, Indonesia
Dan Sus Trimurti
Department of Biology, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda, East Kalimantan, Indonesia
1. Adiguna, I. G. A. B. P., Restu, I. W. & Ekawaty, R. (2018). Struktur Komunitas Ikan di Muara Sungai Badung Kawasan Mangrove Taman Hutan Raya (Tahura) Ngurah Rai, Bali. Current Trends in Aquatic Science. 1(1), 72-79.
2. Ajai, O. N., Anwari, M. S. & Dirhamsyah. (2020). Keanekaragaman Jenis Ikan di Sungai Embaloh Desa Banua Ujung Kecamatan Embaloh Hulu Kabupaten Kapuas Hulu. Jurnal Hutan Lestari. 8(1), 61-68.
3. Cem, P.S. (1990). Some Aspects of the Biology of Arius truncatus (C.&V.) and Arius caelatus (Val.) (Osteichtyes, Tachysurudae) in the Sungai Salak Mangrove Estuary, Sarawak, Malaysia. Fish. Bull. 63, 1-28.
4. Datunsolang, F., Kusen, D., Kalesaran, O. J., Undap, S. L., Sambali, H., Wantasen, A. S. & Salindeho, I. (2021). Kelayakan Lokasi Budidaya Ikan Kuwe (Caranx sp.) Ditinjau Dari Parameter Fisiki Kimia Kualitas Air Pada Karamba Jaring Apung di Desa Tuntung Timur Kabupaten Bolaang Mongondow Utara. E-Journal Budidaya Perairan. 9(2), 25-33.
5. Fahmi, M. R. & Permana, A. (2014). Kematangan Gonad Ikan Sumpit (Toxotes jaculatrix Pallas 1767) Pada Salinitas Berbeda. Jurnal Iktiologi Indonesia. 14(3), 235-245.
6. Faisal, T. M., Putriningtias, A. & Kusnafizal, T. (2017). Analisis Kelayakan Budidaya Perikanan Air Payau Berdasarkan Analisis Kualitas Air Dalam Pengelolaan Wilayah Pesisir Alue Kumba, Kabupaten Aceh Timur. Jurnal Ilmiah Samudra Akuatika. 1(2), 1-10.
7. Haryono. (2017). Fauna Ikan Air Tawar di Perairan Kawasan Gunung Sawal, Jawa Barat, Indonesia. Jurnal Ilmu-Ilmu Hayati. 16(2), 147-156.
8. Hutubessy, G. (2022). Pra-Menetap Larva Ikan Pelagis Kecil di Teluk Ambon Berbasis Distribusi Panjang. Jurnal Iktiologi Indonesia. 22(2), 93-107.
9. Insafitri. (2010). Keanekaragaman, Keseragaman, dan Dominansi Bivalvia di Area Buangan Lumpur Lapindo Muara Sungai Porong. Jurnal Kelautan. 3(1), 54-59.
10. Khairul., Wahyuningsih, H. & Jumilawati, E. (2014). Distribusi dan Pola Pertumbuhan Ikan Bulan-Bulan (Megalops cyprinoides Broussonet, 1782) di Sungai Belawan. Jurnal Perikanan dan Kelautan. 19(2), 57-61.
11. Kottelat, M., Whitten, A.J., Kartikasari, S.N., & Wiroatmodjo, S. (1993). Freshwater Fishes of Western Indonesia and Sulawesi (Ikan Air Tawar Indonesia Bagian Barat dan Sulawesi). Jakarta: Periplus Editions Limited.
12. Krismono., Nurfiarini, A., Sugianti, Y. & Hendrawan, A. L. S. (2018). Pengelolaan Perikanan di Danau Limboto Pasca Pengerukan. Jurnal Kebijakan Perikanan Indonesia. 10(2), 63-74.
13. Kurniawan, E., Djuhriansyah & Helminuddin. (2008). Pemanfaatan Hutan Mangrove oleh Masyarakat Desa Babulu Laut Kecamatan Babulu Kabupaten Penajam Paser Utara. Jurnal Kehutanan Tropika Humida. 1(1), 16-23.
14. Kurniawan, A. J., Prayogo, H. & Erianto. (2018). Keanekaragaman Jenis Burung Diurnal di Pulau Temajo Kecamatan Sungai Kunyit Kabupaten Mempawah Kalimantan Barat. Jurnal Hutan Lestari. 6(1), 230-237.
15. Larasati, M. C. P. & Budijastuti, W. (2022). Morfometri dan Meristik Ikan Bandeng di Pertambakan Sekitar Mangrove Wonorejo Surabaya. Lentera Bio. 11(3), 473-492.
16. Mahdalena, S. & Khairul. (2021). Korelasi Kepadatan Populasi Tiga Spesies Ikan Belanak Dengan Beberapa Faktor Fisika Kimia Perairan. Jurnal Pendidikan Biologi dan Sains. 4(1), 12-17.
17. Manangkalangi, E., Syafei, L. S., Lapadi, I., Lefaan, P. T., Widiastuti, N. & Rahardjo, M. F. (2022). Biologi Reproduksi Ikan Kiper, Scatophagus argus (Linnaeus, 1766) di Teluk Pabean, Indramayu. Jurnal Sumberdaya Akuatik Indopasifik. 6(3), 215-226.
18. Marei, S. & Maruanaya, Y. (2022). Inventarisasi Jenis dan Penyebaran Ikan Pada Kawasan Mangrove di Kampung Arui Distrik Mora Kabupaten Nibire. Jurnal Perikanan dan Kelautan. 3(1), 47-63.
19. Maryani, S. & Machrizal, R. (2022). The Population Dynamics of Belanger’s Croaker (Johnius belangerii) at Barumun River, Panai Hilir District, Labuhanbatu Regency. Biosfer: Jurnal Tadris Biologi. 13(1), 75-82.
20. Maturbongs, M. R., Elviana, S., Rani, C. & Iqbal, A. B. (2019). Keterkaitan Parameter Fisik-Kimia Perairan Dengan Kelimpahan Jenis Ikan Demersal di Sungai Maro Pada Fase Bulan Berbeda Musim Peralihan I. Jurnal Agribisnis Perikanan. 12(1), 162-173.
21. Odum, E. P. (1996). Dasar-Dasar Ekologi Edisi Ketiga. Yogyakarta: Gajah Mada University Press.
22. Puteri, D., Sitorus, H. & Muhtadi, A. (2017). Keragaman Ikan di Perairan Ekosistem Mangrove Desa Jaring Halus Kabupaten Langkat, Sumatera Utara. Jurnal Ilmu-Ilmu Perarian, Pesisir dan Perikanan. 6(2), 145-152.
23. Rahmani, M. R., Noor, M. & Hasanah, N. (2018). Peran Dinas Perikanan Dalam Pengelolaan Peningkatan Produktivitas Perikanan Pembudidaya Tambak di Kecamatan Babulu Kabupaten Penajam Paser Utara. Jurnal Ilmu Pemerintahan. 6(3), 1087-1098.
24. Ramadhani, D., Adijaya, M. & Hadinata, F. W. (2022). Keragaman Jenis Ikan Pada Aliran Sungai Beduai Kabupaten Sanggau Kalimantan Barat. Aurelia Journal. 4(1), 63-70.
25. Ridwan, A. K., Setyawati, T. R. & Yanti, A. H. (2016). Inventarisasi Jenis-Jenis Ikan Yang Ditemukan di Estuari Sungai Tanjung Belimbing Kabupaten Sambas. Jurnal Protobiont. 5(3), 47-53.
26. Sirait, M., Rahmatia, F. & Pattuloh. (2018). Komparasi Indeks Keanekaragaman dan Indeks Dominansi Fitoplankton di Sungai Ciliwung Jakarta. Jurnal Kelautan. 11(1), 75-79.
27. Sulistyani, T. H., Rahayuningsih, M. & Partaya. (2014). Keanekaragaman Jenis Kupu-Kupu (Lepidoptera: Rhopalocera) di Cagar Alam Ulolanang Kecubung Kabupaten Batang. Journal of Life Science. 3(1), 9-17.
28. Supriatna, J. (2008). Melestarikan Alam Indonesia. Jakarta: Yayasan Obor Indonesia.
29. Tuhumury, R. (2014). Struktur Komunitas Ikan Karang di Perairan Pulau Pasi Kabupaten Kepulauan Selayar. Journal of Fisheries Development. 1(1), 45-52.
30. Wahyuni, A. P., Firmansyah, M., Fattah, N. & Hastuti. (2020). Studi Kualitas Air Untuk Budidaya Ikan Bandeng (Chanos chanos Forsskal) di Tambak Kelurahan Samataring Kecamatan Sinjai Timur. Jurnal Agrominansia. 5(1), 106-113.
31. Wicaksono, A., Muhammad, F., Hidayat, J. W. & Suryanto, D. (2018). Pengaruh Komposisi Azolla pinnata Pada Pakan Terhadap Pertumbuhan Ikan Bandeng (Chanos chanos Forsskal) di Balai Besar Perikanan Budidaya Air Payau (BBPBAP) Jepara. Berkala Ilmiah Biologi. 20(2), 113-122.
32. Yudistira, Jusmaldi, & Hendra, M. (2019). Keanekaragaman dan Komposisi Ikan Pada Kondisi Pasang dan Surut di Muara Sungai Kelay. Jurnal Pendidikan Matematika dan IPA. 10(2), 173-182.
Lariman, Andy Triawan Muhtazam , Dan Sus Trimurti, “Diversity of Brackish Water Fish in Several Rivers in Babulu Laut Village, Sub-district Babulu, District Penajam Paser Utara (PPU), East Kalimantan” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.53-62 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/53-62.pdf
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Effects of Missing Data on the Parameters of Multiple Regression Model (MRM)
Etaga Harrison. O, Ngonadi Lilian, Aforka Kenechukwu F and Etaga Njideka C February 2023 – Page No.: 63-73
Multiple Regression Models are used in prediction the nature of relationship between one dependent variable and more than more independent variables. There are so many assumptions the guide the estimation of the parameters of the model. The interpretations of parameters are always subjected to the nature of data involved. Missing values tends to limit the fullness of information in analysis. It is therefore necessary to check for the effect of missing data on the parameters of the Multiple Regression Model. Data were simulated using Binomial, Geometric, Normal and Exponential Distribution. The simulation was done at different sample sizes of 15, 25, 50 and 100. The level of missingness was moderated at 5%, 10%, 25% and 35%. Two methods of handling missing data were employed, listwise deletion and Mean imputation. Data were analysis using multiple regression and Analysis of Variance. The results shows that the least Mean Square Error (MSE) were obtained at different level of missingness depending of the distribution. There was a significant effect on the parameters of the multiple Regression base on sample sizes.
Page(s): 63-73 Date of Publication: 21 March 2023
Etaga Harrison. O
Department of Statistics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
Ngonadi Lilian
Department of Statistics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
Aforka Kenechukwu F
Department of Statistics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
Etaga Njideka C
Department of Statistics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
1. Allison, P (2001) Missing Data: Quantitative Application in the Social Science. Thousand Oaks, CA: Sage. Vol. 136.
2. Brigga A., Clark T, Wolstenholme, J, Clarke P (2003) Missing Data. Health Economics 12, 377-392
3. Catherine Truxillo (2005) A Comparison of Missing Data Handling Methods. SAS® Institute Inc, Cary, NC.
4. Cohen J and Cohen P (1975): Applied Multiple Regression and Correlation Analysis for the Behavioural Sciences. New York : John Wiley
5. Dempster A. P, Laird, N. M and Rubin D. B. (1977): Maximum Likelihood Estimation from Incomplete data via the EM algorithm. Journal of the Royal Statistical Association B39, 1-38
6. Graham, J. W (2009) Missing data analysis: making it work in the real world. Annu Rev Psychol 60, 549 – 576.
7. Jones, M. P (1996) Indicator and Stratification methods for missing explanatory variables in Multiple Linear Regression. Journal of the American Statistical Association, 91, 222-230
8. Kajornrit, Jesada; Wong, Kok Wai; Fung, Chun Che (2012) A comparative Analysis of soft computing techniques used to estimate missing precipitation records. 9th Biennial Conference of the International Telecommunications Society (ITS): Bangkok, Thailand.
9. Little, R. J. A (1988). A test of missing completely at Random or multivariate data with missing values. Journal of the American Statistical Association 83, 1198 – 1202.
10. Little, R. J. A (1992) Regression with Missing X’s: A review. Journal of the American Statistical Association 87, 1227 – 1237.
11. Nakai M and Weiming Ke (2011) Review of methods for handling Missing Data in Longitudinal Data analysis. Int journal of Math. Analysis. Vol 5, no 1. 1-13.
12. De Silva R. P., Dayawansa and Ratnasiri (2007). A comparison of method used n Estimating missing Rainfall data. The Journal of Agricultural Sciences, 2007, Vol 3. No 2.
13. Rubin D. B, (1976) Inference and missing data. Biometrika, 63, 581 592
14. Rubin D B (1987). Multiple Imputation for Nonresponse in Surveys. New York. John Wiley and Sons.
15. SAS Institute, 2005. Multiple Imputation for missing data. Concepts and New Approaches. A Useful Overview of the different methods to deal with Missing Data Using SAS
16. Schmitt p, Mandel J, Guedj M (2015) A Comparison of Six Methods of missng data Imputation. J. Biomet Biostat 6: 24 doi:10.4172/2155-6180.1000224
17. Schafer, J. L (197). Analaysis of incomplete Multivariate data. New York: Chapman & Hall
18. Sunbul Secil Omur(2018) The Impact of Diffrnt Missing Data handling Methods on DINA Model. Internatiopnal Journal of Evaluation and Research in education (IJER) Vol 7. No.1. pp 77 – 86 ISSN: 2252 – 8822
19. Therese D. pigott (2001) A Review of methods of Missing Data. Educational research and evaluation, Vol 7. No 4 pp. 353 – 388.
Etaga Harrison. O, Ngonadi Lilian, Aforka Kenechukwu F and Etaga Njideka C, “Effects of Missing Data on the Parameters of Multiple Regression Model (MRM)” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.63-73 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/63-73.pdf
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Polynomial Networks Model for Arabic Text Summarization
Mohammed Salem Binwahlan February 2023 – Page No.: 74-84
Online sources enable users to get their information needs. But, finding the relevant information, in such sources, became a big challenge and time consumption due to the massive size of data those sources contain. Automatic text summarization is an important facility to overcome such a problem. To this end, many text summarization algorithms have been proposed based on different techniques and different methodologies. Text features are the main entries in text summarization, where each feature plays a different role for showing the most important content. This study introduces the polynomial networks (PN) for Arabic text summarization problem. The role of the polynomial networks (PN) is to compute optimal weights, through the training process of PN classifier, where these weights were used to adjust the text features scores. Adjusting the text features scores creates a fair dealing with those features according to their importance and plays an important role in the differentiation between higher and less important ones. The proposed model produces a summary of an original document through classifying each sentence as summary sentence or non-summary sentence. Six summarizers (Naïve Bayes, AQBTSS, Gen–Summ, LSA–Summ, Sakhr1 and Baseline–1) were used as benchmarks. The proposed model and benchmarks were evaluated using the same dataset (EASC – the Essex Arabic Summaries Corpus). The results shew that the proposed model defeats the all six summarizers. In addition, the rate error results of both the proposed model (PN classifier) and Naïve Bayes (NB classifier), it is a clear that the proposed model (PN classifier) works better. In general, the proposed model provides a good enhancement indicating that the polynomial networks (PN) are a promising technique for text summarization problem.
Page(s): 74-84 Date of Publication: 21 March 2023
Mohammed Salem Binwahlan
Information Technology Department, College of Applied Science, Seiyun University
1. Mani, I. (2001). Automatic Summarization. (1st ed.). Amsterdam: John Benjamins Publishing Company.
2. Luhn, H. P. (1958). The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development. 2(92), 159-165.
3. Edmundson, H. P. (1969). New Methods in Automatic Extracting. Journal of the Association for Computing Machinery. 16(2), 264-285.
4. Baxendale, P. (1958). Machine-made Index for Technical Literature – an Experiment. IBM Journal of Research Development. 2(4), 354-361.
5. Zechner, K. (1996). Fast Generation of Abstracts from General Domain Text Corpora by Extracting Relevant Sentences. In Proceedings of the 16th International Conference on Computational Linguistics. 986–989, Copenhagen, Denmark.
6. Binwahlan, M. S. (2015). Extractive Summarization Method for Arabic Text – ESMAT. International Journal of Computer Trends and Technology. 21(2), pp. 103-109. (Impact Factor: 1.517).
7. Binwahlan, M. S., Salim, N., & Suanmali, L. (2009b). Swarm based features selection for text summarization. IJCSNS International Journal of Computer Science and Network Security, 9(1), 175–179.
8. Aristoteles, Herdiyeni Y., Ridha, A., & Adisantoso J. (2012). Text Feature Weighting for Summarization of Document in Bahasa Indonesia Using Genetic Algorithm. IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 1, May 2012. ISSN (Online): 1694-0814. www.IJCSI.org
9. Campbell, W.M., & Assaleh, K.T., Broun, C.C. (2001). A novel algorithm for training polynomial networks. In: Int NAISO Symp Information Science Innovations ISI’2001, Dubai, UAE, March 2001. doi:http://dx.doi.org/10.1.1.28.5119.
10. AL-Tahrawi, M.M., & Abu Zitar, R. (2008). Polynomial networks versus other techniques in text categorization. Int. J. Pattern Recognition. Artif. Intell. (IJPRAI) 22 (2), 295–322. http://dx.doi.org/10.1142/S0218001408006247.
11. Al-Tahrawi, M.M., & Al-Khatib, S.N. (2015). Arabic text classification using Polynomial Networks. King Saud Univ. J. King Saud Univ. – Comput. Inf. Sci. 27, 437–449.
12. Imam, I, Nounou, N., Hamouda, A., & Abdul Khalek, H. A. (2013a). Query Based Arabic Text Summarization. International Journal of Computer Science and Technology. 4(2), 2013, Pp. 35-39
13. Imam, I., Hamouda, A., & Abdul Khalek H, A. (2013b). An Ontology-based Summarization System for Arabic Documents. International Journal of Computer Applications Volume 74– No.17, 2013, pp.0975 – 8887
14. D’Avanzo E., Magnini B., & Valli A. (2004). Keyphrase Extraction for Summarization Purposes: The LAKE System at DUC2004. In Proceedings of the 4th Document Understanding Conferences. DUC.
15. Hirao, T., Suzuki, J., Isozaki, H. & Maeda, E. (Hirao, et. al., 2004). NTT’s Multiple Document Summarization System for DUC 2004. In Proceedings of the 4th Document Understanding Conferences. DUC.
16. Gulcin, M., Ilyas O., Cicekli F., & Alpaslan N. (2010). Text Summarization of Turkish Texts using Latent Semantic Analysis. Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pages 869–876, Beijing, August 2010
17. Ko Y., & Seo J. (2008). An effective sentence-extraction technique using contextual information and statistical approaches for text summarization. Pattern Recognition Letters 29 (2008) 1366–1371
18. Kim, J., & Hwang, D. (2001). Korean text summarization using an Aggregation Similarity. In: Proc. 5th Internat. Workshop Information Retrieval with Asian Languages, pp. 111–118.
19. Douzidia, F. & Lapalme, G. (2004). Lakhas, an Arabic Summarising System. In Proceedings of the 4th Document Understanding Conferences, pages 128–135. DUC.
20. Conroy, J. Schlesinger, O’Leary, J. D. & Goldstein, J. (2006). Back to Basics: CLASSY 2006. In Proceedings of the 6th Document Understanding Conferences. DUC.
21. El-Haj, M., Kruschwitz, U. & Fox, C. (2009). Experimenting with Automatic Text Summarization for Arabic. In Zygmunt Vetulani, editor, 4th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, LTC’09, ”Lecture Notes in Artificial Intelligence”, pages 490–499, Poznan, Poland, 2009. Springer.
22. Salton, G., Wong A., & Yang, S. (1975). A Vector Space Model for Automatic Indexing. Communications of the ACM, vol. 18, no. 11, (pp. 613–620).
23. Elhaj M. (2012). Multi-document Arabic Text Summarisation. PhD thesis, 2012, University of Essex
24. Deerwester, Dumais, S., Furnas, G. Landauer, T. & Harshman, R. (1990). Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6):391–407, 1990.
25. EASC, Essex Arabic Summaries Corpus (2013). [Online] Available: http://privatewww.essex.ac.uk/~melhaj/easc.htm, (14-01-2013(.
26. Ibrahim, A., Elghazaly, T., & Gheith, M. (2013). A Novel Arabic Text Summarization Model Based on Rhetorical Structure Theory and Vector Space Model. International Journal of Computational Linguistics and Natural Language Processing. Vol 2 Issue 8 August 2013.
27. El-Haj, M. & Rayson, P. (2013). Using a Keyness Metric for Single and Multi Document Summarisation Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization, pages 64–71, Sofia, Bulgaria, August 9 2013. C 2013 Association for Computational Linguistics
28. AL-Tahrawi, M.M. (2014). The significance of low frequent terms in text classification. Int. J. Intell. Syst. 29 (5), 389–406. http://dx.doi.org/10.1002/int.21643.
29. AL-Tahrawi, M.M. (2015). Class-based aggressive feature selection for polynomial networks text classifiers – an empirical study. U.P.B. Sci. Bull. Ser. C 77 (2), 93–110, ISSN: 2286-3540.
30. Kupiec, J., Pedersen, J. & Chen, F. (1995). A trainable document summarizer. In Proceedings of the ACM. SIGIR conference. July 1995. New York, USA, 68-73.
31. Lin, C. Y. & Hovy, E. (1997). Identifying topics by position. In Proceedings of the Fifth conference on Applied natural language processing. March. San Francisco, CA, USA, 283-290, 1997.
32. Lin, C. Y. (1999). Training a selection function for extraction. In Proceedings of the Eighteenth Annual International ACM Conference on Information and Knowledge Management (CIKM). 2-6 Nov. 1999. Kansas City, Kansas, 55-62.
33. Conroy, J. M. & O’leary, D. P. (2001). Text summarization via hidden markov models. Proceedings of SIGIR ’01. 9-12 September 2001. New Orleans, Louisiana, USA, 406-407.
34. Osborne, M. (2002). Using maximum entropy for sentence extraction. Proceedings of the ACL’02 Workshop on Automatic Summarization. July 2002. Morristown, NJ, USA, 1-8.
35. Svore, K., Vanderwende, L. & Burges, C. (2007). Enhancing single document summarization by combining RankNet and third-party sources. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. June 2007. Prague: Association for Computational Linguistics, 448–457.
36. Fattah, M. A. & Ren, F. (2008). GA, MR, FFNN, PNN and GMM based models for automatic text summarization. Computer Speech and Language. 2008. 23(1), 126-144.
37. Alotaiby, F., Foda, S. & Alkharashi, I. (2012). New approaches to automatic headline generation for Arabic documents. Journal of Engineering and Computer Innovations Vol. 3(1), pp. 11-25, February 2012
38. Liu, C.L. (2006). Polynomial Network Classifier with Discriminative Feature Extraction, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong-Kong. doi:http://dx.doi.org/10.1007/11815921_80.
39. Shanableh, T. & Assaleh, K. (2010). Feature Modeling Using Polynomial Classifiers and Stepwise Regression. Neurocomputing, Vol. 73, No. 10-12, 2010, pp. 1752-1759. doi:10.1016/j.neucom.2009.11.045.
40. Blondel, M., Niculae, V., Otsuka, T., & Ueda, N. (2017). Multi-output Polynomial Networks and Factorization Machines. In Advances in Neural Information Processing Systems 30. 2017.
41. Assaleh, K., & Al-Rousan, M. (2005). A new method for Arabic sign language recognition. In: EURASIP J Appl Signal Processing. Hindawi Publishing Corporation, New York, pp. 2136–2145.
42. Fukunaga, K., (1990). Introduction to Statistical Pattern Recognition. Academic Press.
43. Al-Tahrawi, M.M. (2013). The role of rare terms in enhancing the performance of polynomial networks based text categorization. J. Intell. Learn. Syst. Appl. 5, 84–89. http://dx.doi.org/10.4236/jilsa.2013.52009.
44. Salton, G. (1989). Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley Publishing Company.
45. Saggion, H., & Gaizauskas, R. (2004). Multi-document summarization by cluster/profile relevance and redundancy removal. In Proceedings of the 4th Document Understanding Conferences. DUC.
46. Nobata, C. & Sekine, S. (2004). CRL/NYU Summarization System at DUC-2004. In Proceedings of the 4th Document Understanding Conferences. DUC.
47. Lin, C. Y. & Hovy, E. (1997). Identifying Topics by Position. In Proceedings of the Fifth conference on applied natural language processing. March. San Francisco, CA, USA, 283-290.
48. Hovy, E. H. & Lin C-Y. (1999). Automated Text Summarization in SUMMARIST. In Mani I. and Maybury M. (Eds.). Advances in Automated Text Summarization. (pp. 81–94). Cambridge: MIT Press.
49. Alfonseca, E., Guirao, J. M., & Moreno-Sandoval, A. (2004). Description of the UAM system for generating very short summaries at DUC-2004. In Proceedings of the 4th Document Understanding Conferences. DUC.
50. Lin, C. Y. (2004). Rouge: A Package for Automatic Evaluation of Summaries. Proceedings of the Workshop on Text Summarization Branches Out, 42nd Annual Meeting of the Association for Computational Linguistics. 25–26 July. Barcelona, Spain, 74-81.
51. Cheng, J. & Lapata, M. (2016). Neural summarization by extracting sentences and words. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Berlin, Germany, pages 484–494.
52. Nallapati, R., Zhai, F., & Zhou, B. (2017). SummaRuNNer: A recurrent neural network based sequence model for extractive summarization of documents. In Proceedings of the 31st AAAI Conference on Artificial Intelligence. San Francisco, California USA, pages 3075–3081.
53. Narayan, S., Papasarantopoulos, N., Cohen, S. B., & Lapata, M. (2017). Neural extractive summarization with side information. CoRR abs/1704.04530.
54. Yasunaga, M., Zhang, R., Meelu, K., Pareek, A., Srinivasan, K., & Radev, D. (2017). Graph-based neural multi-document summarization. In Proceedings of the 21st Conference on Computational Natural Language Learning. Vancouver, Canada, pages 452–462.
55. Al Qassem, L., Wang, D., Barada, H., Al-Rubaie, A., & Almoosa, N. (2019). Automatic Arabic text summarization based on fuzzy logic, in Proc. 3rd Int. Conf. Natural Lang. Speech Process., 2019, pp. 42–48.
56. Elgamal, M., Hamada, S., Aboelezz, R., & Abou-Kreisha, M. (2019). Better Results in Automatic Arabic Text Summarization System Using Deep Learning based RBM than by Using Clustering Algorithm based LSA. International Journal of Scientific & Engineering Research Volume 10, Issue 8, August-2019. ISSN 2229-5518
57. Lagrini and Redjimi (2021). A New Approach for Arabic Text Summarization. 4th International Conference on Natural Language and Speech Processing, Trento, Italy, November 12-13, 2021. Pp: 247—256.
58. Jain, A.; Arora, A.; Morato, J.; Yadav, D.; Kumar, K.V. (2022). Automatic Text Summarization for Hindi Using Real Coded Genetic Algorithm. Appl. Sci. 2022, 12, 6584. https://doi.org/10.3390/app12136584
Mohammed Salem Binwahlan, “Polynomial Networks Model for Arabic Text Summarization” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.74-84 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/74-84.pdf
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Accounts Payable Management and Financial Performance of Manufacturing Firms. A Case of Kazire Health Products Limited
Nelson Nkwasibwe, Elly Atuhereze Katsigaire, Bwesigye Tobias February 2023 – Page No.: 85-100
The study focused on establishing the relationship between accounts payable management and financial performance in Kazire Health Products Company Limited. It was based on the following objectives; to find out the accounts payable management strategies used by Kazire health products ltd, to assess the level of financial performance in Kazire health products Ltd and to establish the relationship between accounts payable management and financial performance of Kazire health products Ltd
The researcher used a cross sectional research design consisting of quantitative approaches of data collection and analysis. The study population consisted of the management and operational staff consisting of employees from administration, marketing department, accounts, Sales Department and customers of Kazire health products limited. A sample size of 66 respondents was used. Questionnaires were used to collect data. Data collected was analyzed using Statistical Package for Social Sciences (SPSS).
The study revealed that Kazire health products limited has an effective accounts payable Management Policy. It was further revealed that as much as the company is earning profits, her profitability levels in the past three years have been declining compared to the past years. The study findings established that there is a positive significant relationship between accounts payable management and financial performance of Kazire health products Ltd at r=0.872(**) with P-value = 0.000. Accounts payable is one of the major sources of unsecured short-term financing resulting from transactions in which merchandise is purchased.
Page(s): 85-100 Date of Publication: 24 March 2023
Nelson Nkwasibwe
PhD BA candidate, Department of Business and Management, Lecturer Ibanda University Department of Business and Management Studies, Nigeria
Elly Atuhereze Katsigaire
Senior Lecturer Ibanda University, Nigeria
Bwesigye Tobias
1. Achode, B.M. & Rotich, G. (2016). Effects of accounts Payable as Source of Financing on Performance of Listed Manufacturing Firms at the Nairobi Securities Exchange. International Journal of Research Studies in Agricultural Sciences (IJRSAS) Volume 2, Issue 4, 2016, PP 24-32.
2. Afrifa, G. A., & Padachi, K. (2016). Working capital level influence on SME profitability. Journal of Small Business and Enterprise Development, 23(1), 44-63.
3. Ashok, P. (2013). Relationship between Inventory Management and Profitability — An Empirical Analysis of Indian Cement Companies. Asia Pacific Journal of Marketing and Management Research. 107-120.
4. Bragg, S., 2013. Accounting Best Practices. 7th ed. U.S.A: John Wiley & Sons, Inc.
5. Duru, A. N., Ekwe, M. C., & Okpe, I. I. (2014). Accounts receivable management and corporate performance of companies in the food & beverage industry: evidence from Nigeria. European Journal of Accounting Auditing and Finance Research, 2(10), 34-47.
6. Gakure, R., Cheluget, K.J. Onyango, J.A, & Keraro, V. (2012). Working capital management and profitability of manufacturing firms listed at the Nairobi stock exchange. Prime Journal of Business Administration and Management (BAM), 2(9), 680-686.
7. Gitman, L. J. (2009). Principles of managerial finance (12th ed.). Bostos, MA: Pearson Prentice Hall.
8. Harris, A. (2005). Working capital management: difficult, but rewarding. Financial Executive, 21(4), 52-54.
9. Igwebuike, A. & Nwankwo, S. (2018). Impact of Average Payments Period on the Return on Assets of Quoted Insurance Companies in Nigeria. European Journal of International Management. 10. 1-10.
10. Jagongo, A. O., & Makori, D. M. (2013). Working capital management and firm profitability. Empirical from manufacturing and construction firms listed on the Nairobi Securities Exchange. International Journal of Accounting and Taxation, 1(1), 1-14.
11. Kakeeto, F,Timbirimu, M., Kiizah, P., & Olutayo, O. (2016). Accounts Receivable Management and Organizational Profitability as a Function of Employee Perception in Gumutindo Coffee Cooperative Enterprise Limited (GCCE), Mbale, District Uganda. IOSR Journal of Economics and Finance,7(6), 31-37.
12. Kasozi, J. (2017). The effect of working capital management on profitability: a case of listed manufacturing firms in South Africa. Investment Management and Financial Innovations, 14(2-2), 336-346.
13. Kumaraswamy, S. (2016). Impact of Working Capital on Financial Performance of Gulf Cooperation Council Firms. International Journal of Economics and Financial Issues, 6(3), 1136-1143.
14. Lu, R. (2013). Impact of working capital management on profitability: the case of Canadian firms. Unpublished Master Thesis, Saint Mary’s University: Canada.
15. Madishetti, S., & Kibona, D., (2013). “Impact of Receivables and Payables Management on the Profitability of SMEs in Tanzania”, Arth Prabhand: A Journal of Economics and Management”, 2 (3), 9-21.
16. Madugba, J. U., & Ogbonnaya, A. K. (2016). Working capital management and financial performance: evidence from manufacturing companies in Nigeria. European Journal of Accounting, Auditing and Finance Research, 4, 98-106.
17. Mathuva, D. (2009). The influence of working capital management components on corporate profitability: a survey on Kenyan listed firms. Research Journal of Business Management, 3(1), 1-
18. Moodley, T., Ward, M. & Muller, C. (2017). The relationship between the management of payables and the return to investors, South African Journal of Accounting Research, 31:1, 35-43,
19. Muchina,,S.& Kiano, E. (2011). Influence of working capital management on firm’s profitability: A case SMES in Kenya, International Business management, 5, (5), 279 – 286.
20. Napompech, K. (2012). Effects of Working Capital Management on the Profitability of Thai Listed Firms. International Journal of Trade, Economics and Finance, 3(3), 227.
21. Nwakaego, A. D., & Ikechukwu, I.O. (2015). Payable Management on Corporate Profitability of Brewery Manufacturing Companies in Nigeria. Journal of Research in Business and Management Volume 3 ~ Issue 9 (2015) pp: 07-14.
22. Pais, M. A., & Gama, P. M. (2015). Working capital management and SMEs profitability: Portuguese evidence. International Journal of Managerial Finance, 11(3), 341-358.
23. Paul, M. N., Stephen, K. K., Marcella, R. A. & Janiffer, M. N. (2013). Management of working capital and its effect on profitability of manufacturing companies listed on Nairobi securities exchange (NSE), Kenya. IJBFMR, 1(1) 35-42.
24. Quayyum, S. T. (2012). Relationship between working capital management and profitability in context of manufacturing industries in Bangladesh. International Journal of Business & Management, 7(1), 58-69.
25. Qurashi, M., & Zahoor, M. (2017). Working Capital Determinants for the UK Pharmaceutical Companies Listed on FTSE 350 Index. International Journal of Academic Research in Accounting, Finance and Management Sciences, 7(1), 11- 17.
26. Yahaya, A. (2016). Effects of working capital management on the financial performance of the pharmaceutical firms in Nigeria. International Journal of Economics, Commerce and Management United Kingdom, 4(4).
Nelson Nkwasibwe, Elly Atuhereze Katsigaire, Bwesigye Tobias, “Accounts Payable Management and Financial Performance of Manufacturing Firms. A Case of Kazire Health Products Limited” International Journal of Research and Scientific Innovation (IJRSI) vol.10 issue 2, pp.85-100 February 2023 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-2/85-100.pdf
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