DETERMINANTS OF PEANUT FARM PRODUCTION IN SONE VILLAGE, CENTRAL INSANA DISTRICT, NORTH CENTRAL TIMOR REGENCY

Deodatus Kristoforus Usfinit, Johanna Suek, Ayu Fitriani, Marthen Robinson Pellokila

Abstract


. Peanut farming plays an important role in supporting rural livelihoods in Sone Village, North Central Timor Regency; however, its production remains unstable. This study aims to analyze the factors affecting peanut production and estimate the output elasticity of each production factor. The research was conducted from September to October 2024 using a survey method involving 40 farmers selected through simple random sampling. Data were analyzed using a Cobb-Douglas production function in a log-linear regression model. The results show that land area, seeds, pesticides, labor, education, farming experience, and capital simultaneously have a significant effect on production. Partially, land area and farming experience have significant positive effects on peanut production. Labor has a positive effect, while seed use has a negative effect, both statistically significant at the 10% level. Pesticides, education, and capital do not have statistically significant effects. The coefficient of determination indicates that 50.8% of production variation is explained by the model. Peanut farming is economically feasible, generating an average net income of IDR 3,750,185 per season with an R/C ratio of 4.52, indicating that peanut cultivation remains profitable under existing production conditions. These findings imply that improving land management, strengthening farmers’ production experience, and enhancing the quality and efficiency of seed and labor utilization are more important than simply increasing input use to improve peanut production.

Keywords


Cobb-douglas; Farming experience; Land area; Output elasticity; Peanut production

Full Text:

PDF
rticle

References


Abubakari, S., Abdulai, M., Anang, B., 2019. Economic analysis of groundnut production in Tolon District, Ghana. IJIRAD. https://doi.org/10.47762/2019.964x.57

Acquah, H., 2016. Comparing OLS and rank-based estimation techniques. Applied Studies in Agribusiness and Commerce 10, 129–134. https://doi.org/10.19041/apstract/2016/4-5/16

Alabi, O., Ayinde, K., Babalola, O., Bello, H., Okon, E., 2020. Effects of multicollinearity on type I error. Open J. Stat. 10, 664–677. https://doi.org/10.4236/ojs.2020.104041

Alabi, O., Maharazu, I., Mohammed, A., Ajibola, A., Ocheni, A., 2025. Analysis of net farm income and constraints faced by okra farmers. Mustafa Kemal Universitesi Tarim Bilimleri Dergisi. https://doi.org/10.37908/mkutbd.1599662

Badan Pusat Statistik Kabupaten Timor Tengah Utara, 2021. Timor Tengah Utara dalam Angka 2021. BPS, Kefamenanu.

Badan Pusat Statistik Nusa Tenggara Timur, 2024. Nusa Tenggara Timur dalam Angka 2024. BPS, Kupang.

Denpasar, U., Mataram, K., 2024. Analisis penggunaan faktor-faktor produksi terhadap tingkat produksi kacang tanah. Ganec Swara. https://doi.org/10.35327/gara.v18i1.755

Donthi, R., 2019. A glance on the estimation of Cobb-Douglas production functional model. Other Topics Engineering Research eJournal. https://doi.org/10.2139/ssrn.3481486

Fitriani, A., Chamdra, S., Raga, P.M., 2026. Allocative efficiency as a managerial innovation. SEPA 23, 87–99. https://doi.org/10.20961/sepa.v22i2.114530

Fonisasi, M.Y., Hutapea, A.N., 2019. Faktor-faktor yang mempengaruhi produksi kacang tanah di Desa Fafinesu. Agrimor: Jurnal Agribisnis Lahan Kering 4, 4–6. https://doi.org/10.32938/ag.v4i1.565

Gautam, S., 2024. Understanding Cobb-Douglas production function. Journal of Technology & Innovation 2, 75–78. https://doi.org/10.26480/jtin.02.2024.75.78

Gujarati, D.N., 2004. Basic Econometrics, 4th ed. McGraw-Hill, New York.

Ikhsan, S., 2012. Pengukuran Efisiensi Alokatif pada Usaha Pertanaman Kacang Tanah di Kecamatan Sambung Makmur, Kabupaten Banjar. Jurnal Agribisnis Pedesaan 2.

Krejcie, R. V., Morgan, D.W., 1970. Determining Sample Size for Research Activities. Educ. Psychol. Meas. 30, 607–610. https://doi.org/10.1177/001316447003000308

Mahmud, H., Rauf, A., Boekoesoe, Y., 2022. Faktor-faktor produksi usahatani padi sawah. Agrinesia: Jurnal Ilmiah Agribisnis 6, 96–102. https://doi.org/10.37046/agr.v6i2.15909

Majdina, N.I., Pratikno, B., Tripena, A., 2024. Penentuan ukuran sampel menggunakan rumus bernoulli dan slovin: konsep dan aplikasinya. Jurnal Ilmiah Matematika dan Pendidikan Matematika 16, 73. https://doi.org/10.20884/1.jmp.2024.16.1.11230

Mandal, R., Taku, C., 2024. The Cobb-Douglas production function. Agriculture Archives 4, 43–48. https://doi.org/10.51470/agri.2025.4.1.43

Mardiatmoko, G., 2024. The application of the classical assumption test. JTAM 8. https://doi.org/10.31764/jtam.v8i3.22179

Maulidya, F., Fauzi, M., Ferrianta, Y., 2025. Analysis of factors affecting the production and net income of peanut farmers. European Journal of Agriculture and Food Sciences. https://doi.org/10.24018/ejfood.2025.7.3.901

Ministry of Agriculture, 2023. Statistik tanaman pangan 2023.

Onifade, O., Olanrewaju, S., 2020. Investigating performances of heteroscedasticity tests. Open J. Stat. https://doi.org/10.4236/ojs.2020.103029

Parikaes, I.S., Pellokila, M.R., Klau, F., 2021. Analisis faktor-faktor yang mempengaruhi produksi kacang tanah. Buletin Ilmiah IMPAS 22, 152–161.

Patel, P., Chandrakar, M., 2022. Cost and return analysis of groundnut cultivation. Agricultural Science Digest. https://doi.org/10.18805/ag.d-5580

Risma, W., Gafaruddin, A., Arif, L., 2024. Pengaruh luas lahan, benih, tenaga kerja, herbisida, dan pengalaman terhadap produksi kacang tanah. Jurnal Ilmiah Membangun Desa dan Pertanian. https://doi.org/10.37149/jimdp.v9i2.105

Sinabariba, F., Prasmatiwi, F., Situmorang, S., 2014. Analisis efisiensi produksi dan pendapatan usahatani kacang tanah. Jurnal Ilmu-Ilmu Agribisnis 2, 316–322. https://doi.org/10.23960/jiia.v2i4.316-322

Singh, S., 2003. Simple Random Sampling, in: Advanced Sampling Theory with Applications. Springer Netherlands, Dordrecht, pp. 71–136. https://doi.org/10.1007/978-94-007-0789-4_2

Sukartawi, 2003. Teori ekonomi produksi dengan pokok bahasan analisis fungsi Cobb-Douglas. IPB Press, Jakarta.

Taherdoost, H., 2017. Determining sample size. Leadership & Organizational Behavior eJournal.

Tamar, D.M., Wadu, J., 2023. Analisis faktor-faktor yang mempengaruhi produksi usahatani kacang tanah. SATI 1, 27–28.

Tarigan, P., 2023. Analisis asumsi klasik terhadap produktivitas tenaga kerja. Agriprimatech. https://doi.org/10.34012/agriprimatech.v7i1.4244

Tumbel, R., Benu, N., Loho, A., 2025. Analisis pendapatan usahatani kacang tanah berbasis ekoenzim. Jurnal Agribisnis dan Pengembangan Pedesaan. https://doi.org/10.35791/agrirud.v7i2.61709




DOI: https://doi.org/10.20961/sepa.v23i2.117940

Refbacks

  • There are currently no refbacks.


Jurnal SEPA indexed by: 

      

 

Creative Commons License