Factors Influencing Farmers' Decisions in Selling Chili to the Auction Market of Sleman Regency
Keywords:
auction market, chili, decision, farmer, Logistic RegressionAbstract
This study aims to identify the mechanism of the chili auction market in Sleman Regency and analyse the influence of formation access, market location, income, social capital and auction market objectives on farmers' decisions in selling chili to the Sleman Regency auction market. The research uses a quantitative approach with a survey method. Location determination by purposive method. Samples were taken using the disproportionate stratified random sampling. The types of data used primary data and secondary data. Data collection methods through observation, interviews, and documentation. The analysis used descriptive analysis and logistic regression analysis. The results showed that: (1) the auction market mechanism starts from the transportation of chili by farmers from the land to the collection point, weighing, sorting and grading, digital auction, packaging to picking up and selling chili by traders, (2) the variables of access to information, social capital, and auction market objectives partially affect farmers' decisions. In contrast to the variables of market location and profits which partially have no effect on farmers' decisions to sell chili. All independent variables simultaneously affect the decision of farmers to sell chili peppers to the Sleman Regency auction market.
References
Abdullah. 2015. Metode Penelitian Kuantitatif. Yogyakarta: Aswaja Pressindo
Devi, P., Harsoyo., & Subejo. 2015. The Effectiveness of Auction Market Institution for Red Chili in Panjatan District Kulon Progo Regency. Agro Ekonomi, 26(2), 139-149. https://doi.org/10.22146/agroekonomi.17273
Ghozali, I. 2018. Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Semarang : Badan Penerbit Universitas Diponegoro.
Kotler, P. 2002. Manajemen Pemasaran di Indonesia: Analisis, Perencanaan, Implementasi dan Pengendalian. Jakarta: Salemba Empat.
Lubis, F. A. 2019. Strategi Pengembangan Agribisnis Cabai Merah di Kabupaten Sleman dengan Metode Analytical Hierarchy Process. Jurnal Agraris, 5(2):119-128. http://dx.doi.org/10.18196/agr.5281
Nugrahapsari, R, A., dan Arsanti, I, W. 2019. Analisis Volatilitas Harga Cabai Keriting di Indonesia dengan Pendekatan Arch Garch. Jurnal Agro Ekonomi, 36(1):1–13. ttps://media.neliti.com/media/publications/267312-none-936f7861.pdf
Oktia, R., dan Abubakar, R. 2022. Sistem Lelang Komoditas Cabai Merah di Pasar Lelang Desa Muara Burnai I Kecamatan Lempuing Jaya Kabupaten Ogan Komering Ilir. Jurnal Societa, 11(2):130–135. https://doi.org/10.32502/jsct.v11i2.5583
Rusdiyana, E. 2017. Peran Pasar Lelang dalam Pemasaran Cabai di Kelompok Tani Lahan Pasir Pantai Kulon Progo, Yogyakarta. Journal of Sustainable Agriculture, 32(1), 1-8. doi: http://dx.doi.org/10.20961/carakatani.v32i1. 14666.
Republik Indonesia, Keputusan Menteri Pertanian No.472/Kpts/RC.040/6/2018 tentang Lokasi Kawasan Pertanian Nasional.
Sari, Y, N., Sari, R, M., dan Bukhari, A. 2022. Analisis Faktor-faktor yang Mempengaruhi Keputusan Pembelian Cabai Rawit Merah (Capsicum chinense jacq) di Pasar Anyar, Kota Tangerang. Proceedings Series on Physical & Formal Sciences, 4(1):446–452. https://conferenceproceedings.ump.ac.id/index.php/pspfs/issue/view/17
Skewes, J. C. and Laila, N. 2023. National inequality, social capital, and public goods decision-making. Current Research in Ecological and Social Psychology, 4(1-10). https://doi.org/10.1016/j.cresp.2023.100112
Sugiyono. 2018. Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung: Alfabeta
Widodo, R, W. 2019. Jaringan Sosial Tengkulak dalam Menentukan Harga Produk Pertanian di Desa Ngromo, Kabupaten Pacitan. Thesis. Malang. Universitas Brawijaya. http://repository.ub.ac.id/id/eprint/170133/
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Budi Widayanto, Eko Sugianto Ngadirin, Nanik Dara Senjawati

This work is licensed under a Creative Commons Attribution 4.0 International License.