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Analysis of Beef Cattle Production and Population at Manokwari West Papua, Indonesia
- Maikel Mhaira Hora
- Andoyo Supriyantono
- Iriani Sumpe
- Trisiwi Wahyu Widayati
- A. Gatot Murwanto
- 3040-3045
- Oct 21, 2024
- Agriculture
Analysis of Beef Cattle Production and Population at Manokwari West Papua, Indonesia
Maikel Mhaira Hora1, Andoyo Supriyantono2*, Iriani Sumpe2, Trisiwi Wahyu Widayati2, A. Gatot Murwanto2
1Alumni of the animal husbandry Faculty of Papua University
2Faculty of Animal Husbandry Papua University Manokwari West Papua Indonesia
*Corresponding author
DOI: https://dx.doi.org/10.47772/IJRISS.2024.8090252
Received: 13 September 2024; Accepted: 23 September 2024; Published: 21 October 2024
ABSTRACT
One important factor in determining beef cattle development policies is knowing the trend model for beef cattle production and population based on a large of data. This research aims to analyze the trend model of beef cattle production and population and predict them. The data collected from 2011 to 2020 consists of the production and population of beef cattle. Data was taken from the West Papua Province Livestock and Animal Health Service. The trend models and prediction data were analyzed using Minitab version 17. The research showed that the contribution of beef cattle production and population in Manokwari to West Papua is 0.251 and 0.354, respectively. The results of the trend model for the production and population of beef cattle are Yt = 1475291- 440243t + 47760t^2 and Yt = 21626-3t-14t^2, respectively. It can be concluded that the growth rate of the beef cattle population and production in Manokwari is -0.364% and 13%, respectively. Based on the model, in 2026 the number of beef cattle in Manokwari started to decline, and vice versa, production increased in 2025.
Keywords: beef cattle, model, population, production
INTRODUCTION
Beef cattle are the main livestock commodity that provides meat and the main source of animal protein, besides poultry. After successfully launching the Special Efforts program for the Acceleration of Increasing the Population of Pregnant Cows and Buffaloes, the Ministry of Agriculture through the Directorate General of Animal Husbandry and Animal Health is accelerating the fulfillment of people’s needs for animal protein, namely meat and milk with the National Mainstay Commodity Cattle and Buffalo program. To increase the cattle population, through the program, it is hoped that the beef cattle population will grow more quickly and ultimately reduce dependence on feeder cattle and imported beef. Beef cattle are the second commodity after broiler chickens in consuming meat. In 2021 beef production will be 487.80 thousand tons, out of total meat production of 4,546.96 thousand tons or contributing up to 10.73% of national meat production (Directorate General of Animal Husbandry and Animal Health, 2022). Generally, around 30% – 40% of the beef is still supplied by imported feeders to meet beef needs.
More than 90% of local beef supplies come from small-scale livestock farms, resulting in low production efficiency or high production costs per unit. If the amount of imports remains uncontrolled, low import prices will depress the price of local beef in the market, resulting in losses for farmers. If this happens in long-term and with limited capital, it will make farmers less enthusiastic about running a beef cattle business. According to Maart-Noelck and Musshoff (2013), a farmer’s decision to invest in their business is to learn from previous investments and consider the value obtained through observation over time. To increase production, farmers choose to reinvest when they are valuable or profitable, and vice versa. Likewise for smallholder beef cattle breeders in Indonesia, if farmers suffer losses and there is limited capital, the increase in local cattle production becomes slow, causing the average beef import per year to remain above 30%. Year over year, Indonesian people’s beef consumption continues to increase by an average of 5.54% per year. Even though local beef production continues to increase, it is not yet able to meet national consumption needs. Estimates suggest that as population and income levels rise, the demand for beef will persist. If smallholder livestock production patterns remain unchanged, the local beef deficit will persist.
West Papua Province is one of Indonesia’s eastern regions with the potential for beef cattle development due to favorable environmental conditions for beef cattle development, the potential for adequate land and feed availability. According to Supriadi (2008), West Papua Province has prepared 75,000 ha of grazing land in the districts of Bomberay (Fakfak), Kebar (Tambrauw), and Salawati (Sorong) for the raising of beef cattle using a ranch system. Apart from that, it also has available agricultural land covering an area of 11,263 ha, oil palm plantation land covering an area of 38.98 thousand ha, and other Bali cattle enclaves such as ex-transmigration areas and other expansion areas.
Manokwari is one of the centers for beef cattle development in West Papua, which has promising prospects for developing the beef cattle business. Bali cattle are the most commonly kept breed of beef cattle. According to Bandini (2003), Bali cattle exhibit high adaptability, good feed conversion, disease resistance, and good fertilization, making them suitable for use as working livestock. Farmers keep Bali cattle in small numbers (2–3 heads), or the equivalent of 1-3 animal units (AU) per farmer, with the nature of the business being less efficient. Widiati (2006) reported that people’s beef cattle farming that is integrated with crops on dry land on the slopes of Mount Merapi, Yogyakarta, with land ownership of around 0.5 ha, supported by limited family labor resources, capital, and capabilities, will only obtain a positive net farm income, with a maximum maintenance of around 2 AU per breeder.
One important factor in determining beef cattle development policies, especially in planning programs, is knowing the trend model for beef cattle production and population based on a large series of data, for example, the last 10 years. There are some trend models, namely: linear, quadratic, exponential, and logistic (Thomsett, 2019). In the livestock sector, trend analysis has been carried out by Mastuti et al. (2020) in broiler chickens and Hidayat et al. (2021) in buffalo. Analysis of production and population trends in beef cattle in Manokwari Regency from 2011 to 2020 has never been carried out. Therefore, this research aims to analyze the production and population trend model of beef cattle and predict the production and population of beef cattle in Manokwari Regency, West Papua Province.
MATERIALS AND METHODS
This research was carried out in Manokwari Regency, West Papua Province. Map of Manokwari is shown in Figure 1. Manokwari Regency administratively has an area of 3,168.28 km2, and the population of Manokwari Regency in 2021 was about 192,633 people. Geographically, Manokwari Regency is located between the heads of the birds of Papua Island at a position below the equator between 132⁰35-134⁰45” E and 0.15-3⁰25” E. With regional boundaries as follows: North: Pacific Ocean East: South Manokwari Regency South: Teluk Bintuni Regency West: Tambrauw Regency
The method used in this research is a descriptive method with case study techniques. The data collected from 2012 to 2021 consists of the production and population of beef cattle in Manokwari. Data was taken from the West Papua Province Livestock and Animal Health Service. The collected data is then analyzed according to the research objectives.
Figure 1. Map of Manokwari District (Source: https://www.lamudi.co.id/journal/peta-manokwari/)
The variables measured include (1) the percentage of beef cattle production and beef cattle population in Manokwari Regency from production and population in West Papua; (2). Growth in beef cattle production and population in the Regency Manokwari; (3). Beef cattle production and population trend models in Manokwari Regency; (4). Prediction of beef cattle production and population in Manokwari Regency. The trend models and prediction data were analyzed using Minitab version 17.
RESULT AND DISCUSSION
The proportion of beef cattle production and population in Manokwari Regency to beef cattle production and population in West Papua Province from 2012 to 2021 is shown in Table 1.
Based on Table 1, the contribution of beef cattle production in Manokwari Regency to West Papua Province is 0.251. Likewise, the population of beef cattle in Manokwari Regency contributes 0.354 of the total population of beef cattle in West Papua Province. Historically, the development of both beef cattle production and population in the country has shown a significant increase over the last 3 decades. However, population growth, economic development, lifestyle changes, nutritional awareness, and improving education levels (Delgado et al., 1999) appear to experience a higher rate of demand than the increase in beef cattle production. In the future, it is predicted that there will continue to be an increase in demand for beef, which will open up huge domestic market opportunities.
Table 1. Proportion of beef cattle production and population
Year | Production (ton) | Proportion | Population (head) | Proportion | ||
Manokwari | West Papua | Manokwari | West Papua | |||
2012 | 899539 | 2657004 | 0.339 | 21003 | 52046 | 0.404 |
2013 | 0 | 4077000 | 0.000 | 20843 | 48159 | 0.433 |
2014 | 1114513 | 3658046 | 0.305 | 21287 | 61436 | 0.346 |
2015 | 0 | 3809200 | 0.000 | 21911 | 67287 | 0.326 |
2016 | 1163202 | 3957990 | 0.294 | 23598 | 68999 | 0.342 |
2017 | 631105 | 2700740 | 0.234 | 23856 | 67706 | 0.352 |
2018 | 584451 | 1914770 | 0.305 | 16857 | 50991 | 0.331 |
2019 | 602803 | 1914930 | 0.315 | 16987 | 51738 | 0.328 |
2020 | 436234 | 1650590 | 0.264 | 21212 | 61415 | 0.345 |
2021 | 534978 | 1832350 | 0.292 | 22272 | 66319 | 0.336 |
Mean | 0.251 | 0.354 |
Source: Data from the West Papua Province Livestock and Animal Health Service (2023)
The average annual growth in beef production is only 13%, while the average annual growth in the beef cattle population is -0.36%. The growth in beef production in several regions is not always in line with the growth of the livestock population. Regions as cattle population centers are not necessarily centers for beef production. Likewise, vice versa, areas that do not have cattle at all can turn into beef production centers (Lauirie, 1995; Soeparno, 1992). This is possible because livestock trade occurs between regions based on demand for meat. Therefore, the development of beef production in a region more accurately describes the magnitude of the development of cattle slaughter in that region (Kariyasa, 2004). The results of testing the population and beef production trend model are presented in Table 2.
Table 2. Model of population and beef production trends
Trend Model | MAPE | MAD | MSD |
1. Population | |||
Linear | 9 | 1887 | 5157358 |
Quatratic | 9 | 1871 | 5147353 |
Exponential | 10 | 1917 | 5179519 |
2. Production | |||
Linear | 1.88997E+01 | 1.26863E+0 | 2.20611E+10 |
Quatratic | 10 | 68259 | 786803528 |
Exponential | 1.63637E+01 | 1.14499E+05 | 1.93265E+10 |
Note: MAPE = Mean Absolute Percentage Error; MAD= Mean Absolute Deviation; MSD = Mean squared Deviation
The results of the trend model for the production and population of beef cattle in Manokwari Regency are the quadratic model. The quadratic model was chosen from three criteria (MAPE, MAD, and MSD), which had the smallest model value of those criteria. The quadratic regression equation model for the beef cattle population is Yt = 21626-3t-14t^2. The graph of the quadratic model is presented in Figure 2. The graph also presents population predictions from 2022–2031. In a forecasting system, the use of various forecasting models will provide different forecast values and degrees of forecast error. One way to do forecasting is to choose the best forecasting model that can identify responses to historical activity patterns from data. In general, forecasting models can be grouped into two main groups, namely qualitative methods and quantitative methods. Furthermore, quantitative methods are grouped into two main parts, called intrinsic and extrinsic (Gaspersz, 2004).
Figure 2. Graph of the quadratic model for beef cattle population.
The quadratic regression equation for beef production is Yt = 1475291- 440243t + 47760t^2. The graph of the quadratic regression equation is presented in Figure 3.
Figure 3. Graph of the quadratic model for beef production
The prediction of the beef cattle population is based on an appropriate regression model, so starting in 2026 the population will decline, while beef cattle production starting in 2025 will increase. According to Santoso and Nurfaizin (2017), people’s need for beef increases every year along with the increase in population. In this case, the availability of beef is very dependent on the cattle population, so there must be a balance between the need for beef and the cattle population.
CONCLUSION
Based on the result and discussion, it can be concluded that the growth rate of the cattle population in Manokwari district is -0.364%, while the growth in beef cattle production is 13%. The trend model of cattle population and beef cattle production is the quadratic model. Based on the model, in 2026 beef cattle population in Manokwari started to decline, and vice versa, beef cattle production increased in 2025.
ACKNOWLEDGEMENTS
We thanked all people informants, and staff for collecting and sharing data including information. Statisticians from Papua University were grateful for consulting the statistical analysis. We also thanked all blind reviewers for improving this manuscript to be readable and understandable.
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