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Contract Farming Models and Their Implementation on Broiler Chicken Business Income in Nanga-Nanga District, Kendari City Gafaruddin, Abdul; Arfan, La Ode Arfan Dedu
Jurnal Manajemen dan Agribisnis Vol. 22 No. 3 (2025): JMA Vol. 22 No. 3, November 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.22.3.389

Abstract

Background: The Nanga-Nanga subdistrict in Kendari City is one of the subdistricts whose community has developed a broiler chicken farming business in partnership with a company, but the implementation of the partnership sometimes does not comply with the contract.Purpose: of this study is to examine the contractual partnership model (contract farming) applied in broiler production in the Nanga-Nanga District of Kendari City, to evaluate the effectiveness of its implementation, and to analyze how the overall execution of the contractual partnership influences the income earned by broiler farmers.Design/methodology/approach: his research design employs a descriptive and quantitative approach, utilizing correlation analysis to examine relationships between variables. The study sample comprised the entire population of broiler chicken farmers involved in a partnership scheme with the company, totaling 15 respondents. Both primary and secondary data were collected for analysis. Correlation analysis was applied to evaluate the data. In addition, the study assessed several critical components of broiler chicken businesses, including income, mortality rate, average body weight, feed conversion ratio (FCR), performance index, and depreciation cost calculations.Findings/Result: The contractual partnership arrangement (contract farming) implemented in the Nanga-Nanga District of Kendari City is characterized as a bipartite model. With respect to feed provision, 40% of farmers reported that the company supplied feed in quantities that surpassed the actual requirements of their poultry, while 20% stated that the feed they received was insufficient for their livestock. In terms of operational activities, particularly the timeliness of input delivery, only 46.67% of farmers confirmed that deliveries were made according to the agreed schedule. Furthermore, compliance with the company-determined harvest and sales schedules especially regarding harvest timing reached 60%. On average, farmers recorded a total income of IDR5,786,368.80. Results from Spearman’s Rank Correlation analysis show a strong positive association between the implementation of contractual partnerships and broiler farm income, reflected in a correlation coefficient of 0.771.Conclusion: The contractual arrangement used in broiler production in the Nanga-Nanga District of Kendari City corresponds to a two-party cooperation structure. The implementation of the partnership was evaluated across three dimensions, showing different levels of execution: support related to production inputs demonstrated an exceptionally strong degree of fulfillment, operational activities were carried out at a moderately effective level, and harvest timing and sales management also showed a moderate level of implementation. Overall, the way the contract farming scheme is executed demonstrates a strong positive relationship with the income earned by broiler chicken farmers.Originality/value (State of the art): The primary contribution of this study lies in its dual focus: not only does it identify the types of contract models, but it also evaluates the degree to which these contracts are implemented. The implementation process was examined across three distinct dimensions: the supply of essential production inputs, the management of day-to-day operational processes, as well as the timing of harvesting and sales. Keywords: broilers; partnership model; implementation of partnership pattern, chicken farming business, contract farming
Pengaruh Luas Lahan, Benih, Tenaga Kerja, Herbisida, dan Pengalaman Berusahatani terhadap Produksi Kacang Tanah di Desa Lindo Kecamatan Wadaga Kabupaten Muna Barat Wa Ode Risma; Abdul Gafaruddin; La Ode Kasno Arif
Jurnal Ilmiah Membangun Desa dan Pertanian Vol. 9 No. 2 (2024)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37149/jimdp.v9i2.105

Abstract

This study aims to determine peanut production in Lindo Village, Wadaga District, West Muna Regency, and determine the effect of land area, seeds, labor, herbicides, and farming experience on peanut production in Lindo Village, Wadaga District, Muna Regency. West. This research was conducted in Lindo Village, Wadaga District, West Muna Regency, from December to February 2022. This research used the census method on a population of all peanut farmers in Lindo Village, totaling 53 families, all of whom were respondents in this study. The data used in this study is quantitative data obtained from two sources: primary data from direct interviews with respondents and secondary data from the Central Bureau of Statistics of West Muna Regency. The dependent variable in this research is peanut production, and the independent variables are land area, seeds, labor, herbicides, and farming experience. Data analysis used descriptive qualitative analysis and Cobb-Douglas function regression analysis. The results showed that (1) peanut production in Lindo Village, Wadaga District, Muna Barat Regency was 39,816 kg/ha with an average of 751.25 kg/ha, and (2) Simultaneously (together) the independent variables, which included area land (X1), seeds (X2), labor (X3), pesticides (X4), and farming experience (X5) have a real influence on peanut production. Partially, land area (X1) and seeds (X2) have a positive and significant influence on peanut farming production, while labor (X3), pesticides (X4), and farming experience (X5) do not affect peanut farming production. Based on the research results, several suggestions can be submitted, namely, farmers to increase farmer production in peanut farming by expanding land, increasing the use of seeds, adjusting the use of herbicides and labor, and increasing the use of inputs to maximize production. The government can provide counseling and guidance, more intensive technical assistance to increase peanut production, and facilities or infrastructure assistance in peanut farming.
Pengaruh Umur Petani, Luas Lahan Garapan, Serangan Hama atau Penyakit serta Produktivitas Kakao terhadap Keputusan Petani Mengganti Tanaman Kakao Menjadi Nilam di Desa Puduria Jaya Kabupaten Konawe Selatan La Ode Alwi; Bahari Abdullah; Budiyanto Budiyanto; Abdul Gafaruddin; Juniardin Juniardin
Jurnal Ilmiah Membangun Desa dan Pertanian Vol. 9 No. 1 (2024)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37149/jimdp.v9i1.379

Abstract

Cocoa and patchouli plants are the two primary commodities in Indonesia's agricultural sector. Technically and economically, cocoa and patchouli cultivation have advantages and disadvantages. These advantages and disadvantages will, of course, impact the costs and revenues of farming. Meanwhile, farmers cultivating cocoa or patchouli commodities aim to obtain maximum income. However, some farmers in South Konawe Regency have decided to switch from cocoa to patchouli. Thus, this study aims to analyze the influence of farmer age, area of ​​cultivated land, pest and plant disease attacks, and cocoa productivity on farmers' decision-making to replace cocoa plants with patchouli. Puduria Jaya Village, part of South Konawe Regency, was chosen as the study location. The study was conducted in April 2020. This study determined 60 farmers who cultivate cocoa and patchouli as the study population. The census method was used to determine the sample of farmers. The variables observed were the farmer's decision to change crop types, age, cultivated land area, pest and plant disease attacks, and cocoa plant productivity. Interviews were carried out for data collection. The collected data was analyzed using binary logistic regression. The results of data analysis show that the productivity of cocoa plants significantly influences the decision-making opportunity for farmers to replace cocoa plants with patchouli. Meanwhile, the farmer's age, cultivated land area, pest attacks, and plant diseases do not have a significant effect. The greater the decline in the productivity of cocoa plants, the more excellent the opportunity for farmers to make decisions to replace cocoa plants with patchouli. Therefore, easy and cheap cocoa cultivation technology is needed to increase the productivity of cocoa farming.
Co-Authors Aan Setiadi Abdi Abdi Abdi Abdi, Abdi Abdul Syukur Agustono Slamet Agustono Slamet Ahmad Aldin Bariuddin Alfina Alfina Aprialti, Anastasya Riska Arfan, La Ode Arfan Dedu Asriani Asriani, Asriani Awaluddin Hamzah Bahari Abdullah Bana, Sahindomi Boer, Nilam Permatasari Budi, Slamet Setya Budiyanto Budiyanto Damin, Desri Asfrianti Dedu, La Ode Arfan Dhian Herdhiansyah Dzulmawan, Muhammad Fahria Nadiryati Sadimantara Fahria Nadiryati Sadimantara Gandri, La Hadi Sudarmo Hartina Batoa Hidrawati Hidrawati Ido, Irfan Ilma Sarimustaqiyma Rianse Indra Indra Ine Fausayana Irfan Ido Isma, Isma Jati, Kirana Citra Juniardin Juniardin Kambuno, Grace Onela Karim, La Ode Mekar Kimon, La Ode La Nalefo La Nalefo La Ode Alwi La Ode Geo La Ode Jabuddin La Ode Kasno Arif La Ode Kasno Arif La Ode Kasno Arif, La Ode Kasno La Ode Nurlan Lies Indriyani Lorensa, Tisa Lukman Yunus, Lukman Marsuki Iswandi, Marsuki Martin Prayoga Muhammad Arief Dirgantoro Muhammad Aswar Limi Muhammad Faisal Mukhtar Mukhtar Munirwan Zani Munirwan Zani, Munirwan Mutma Inna Nikoyan, Anas Nikoyan, Anas Nur Anisha Nur, Hartatia Padangaran, Normal Bivariant Punde, Marvani Purnamasari, Nita Rahmat Agus Santoso RANI RANI, RANI Resman, Resman Rosmawaty Harahap Salsabilla, Alifah Risky Samsul Alam Fyka Satrah, Vit Neru Sitti Aida Adha Taridala Sulfila Sumono, Hadi Surni, Surni Surni, Surni Syarwal, Syarwal Syukri, Muh. Vivi Fitriani WA KUASA Wa Ode Risma Windy Febrianto Yifan Saputra Yudiastini, Kadek Yuliantari, Putu Mega YUNI KARTIKA SARI Yuniar, Anna Yusran Yusran Yusran Zefy Mardianti Zulfiana Fitri