skip to main content

Analysis Of Marketing Functions And Factors Influencing Soybean Marketing In Bantul Regency

*Meyga Putri Nofianingsih  -  '' Department of Agribisnis, IPB University, Jl. Raya Dramaga Kampus IPB, Babakan, Kec. Dramaga, Kabupaten Bogor, Jawa Barat 16680''., Indonesia
Nia Rosiana  -  '' Department of Agribisnis, IPB University, Jl. Raya Dramaga Kampus IPB, Babakan, Kec. Dramaga, Kabupaten Bogor, Jawa Barat 16680''., Indonesia
Andriyono Kilat Adhi  -  '' Department of Agribisnis, IPB University, Jl. Raya Dramaga Kampus IPB, Babakan, Kec. Dramaga, Kabupaten Bogor, Jawa Barat 16680''., Indonesia
Open Access Copyright 2025 Agrisocionomics: Jurnal Sosial Ekonomi Pertanian under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

Soybeans are one of the grains rich in vegetable fat and protein that have become one of the staples for the people of Indonesia. Indonesia has an important role in soybean production, which is an important commodity for food securityand the country's economy. Indonesia is the largest soybean market in Asia by importing 1.96 million tons of domesticsoybean needs. While the rest is produced through domestic soybean production. The purpose of this study was to analyze the function of soybean marketing and see what factors influence the selection of soybean marketing channels in Bantul Regency. The data analysis method was carried out using a qualitative descriptive analysis method to see the function of soybean marketing, and quantitative to see the factors that influence soybean marketing which were analyzed using multinominal logit. Farmers carry out marketing functions of purchasing, selling, transporting, milling, sorting, loading and unloading, packaging, drying, market information and risk. For the physical functions carried out by farmers are the functions of selling, transporting, milling, sorting, packaging, drying, market information, and risk. Marketing institutions also perform marketing functions including, 1) exchange function, namely purchase and sale function, 2) physical function, namely transportation, sorting, loading and unloading, and packaging, 3) facility function, namely market and risk information. Factors that influence farmers in choosing soybean marketing channels in Bantul Regency are farming experience, production volume, price, capital, land area, and rainy and dry seasons.

Fulltext View|Download
Keywords: marketing function analysis, multinominal logit, soybeans

Article Metrics:

  1. Amalia, A. 2024. Efisiensi Pemasaran dan Pilihan Saluran Pemasaran Karet di Kabupaten Ogan Hilir Sumatera Selatan. 36–46
  2. Arriyadul, B., Syukur, M., & Endro, W. 2021. Respon Morfo-fisiologi Empat Genotipe Cabai Rawit ( Capsicum frutescens L . ) terhadap Cekaman Salinitas Morpho-Physiological Responses of Four Cayenne Pepper Genotypes ( Capsicum frutescens L .) to Salinity Stress. 49(2), 184– 191
  3. Arwan, A., Safi, Tinaprilla, N., & Burhanuddin, B. 2022. Faktor-Faktor yang Memengaruhi Pilihan Saluran Pemasaran Tandan Buah Segar Pada Perkebunan Rakyat. Jurnal Agribisnis Indonesia, 11(1), 39–47. https://doi.org/10.29244/jai.2023.11.1.39-47
  4. Dilana, I., Nurmalia, R., & Rifin A. 2013. Pemasaran dan Nilai Tambah Kakao di Kabupaten Madiun, Jawa Timur. Simposium Nasional Ekonomi Kakao: Kendari, 11-12 Febr, 204–2013
  5. Ezekiel, A. A., Ayinde, E. O., & Akinsola, G. O. 2020. Economic analysis of land management practices among crop farmers in Osun State, Nigeria. Agrosearch, 19(2), 100–108. https://doi.org/10.4314/agrosh.v19i2.7
  6. Hosmer, D. W., & Lemeshow, S. 2000. Applied Logistic Regression Second Edition. York: John Wiley & Sons, Inc
  7. Irwandi, ., Badrudin, R., & Suryanty, M. 2015. Analisis Pendapatan dan Efisiensi Usaha Pembesaran Ikan Nila (Oreochromis Niloticus) di Desa Mekar Mulya Kecamatan Penarik Kabupaten Mukomuko. Jurnal AGRISEP, 3(2)237–253. https://doi.org/10.31186/jagrisep.14.2.237-253
  8. Mosher, A. . 2014. Menggerakkan dan Membangun Pertanian Indonesia. Yayasan Obor Indonesia. Mujiburrahmad. 2020. Analisis Efisiensi Pemasaran Produk Pertanian di Indonesia. Jurnal Agribisnis Dan Pemasaran, 15(2), 123–135
  9. Prabowo, A., & Pudjianto, M. 2023. Biaya Logistik Beras dan Kedelai: Isu, Tantangan, dan Dampak Kebijakan. Memodernisasi Pertanian Indonesia, 58
  10. https://books.google.com/books?hl=en&lr=&id=KFvTEAAAQBAJ&oi=fnd&pg=PA129&d q=bps+kedelai+diindonesia&ots=FJgHfYv6dX&sig=1Hf1eyj5mx7rdpsnsMMos0n4Fpg%0 A
  11. Pradana. 2023. ANALYSIS OF SUPPLY CHAIN MANAGEMENT AND PARTNERSHIP
  12. Prasetyo, G. &. 2021. Pengaruh Strategi Digital Marketing Terhadap Loyalitas Konsumen Pada UMKM Indonesia. Junral Managemen Dan Pemasaran, 10(2), 145–160
  13. Pratama, W. A., Nurmalina, R., & Rosiana, N. 2023. Determinan yang Memengaruhi Pemilihan Saluran Pemasaran Bunga Potong Krisan di Kabupaten Cianjur. Forum Agribisnis, 13(1), 86–94. https://doi.org/10.29244/fagb.13.1.86-94
  14. Rajanna, Rahim, & Astuti. 2017. Analisis Efisiensi Dan Margin Pemasaran Kedelai (Glycine max) Di Kecamatan Taluditi Kabupaten PohuwatoRelationship Marketing, 4(1), 22. https://doi.org/10.32662/gatj.v4i1.1480
  15. Saleh, Pangemanan, S. P., Lumenta, I. D. R., & Maliangkay, T. 2023. Farmer’s Share, Margin dan Efisiensi Pemasaran Telur Ayam Ras. Jambura Journal of Animal Science, 5(2), 82–89. https://doi.org/10.35900/jjas.v5i2.19480
  16. Sari, D. C., Wardhana, A., Darwin, A. M., Sulaiman, E., Rahmawan, G., Ridwan, M., Hastutik, S., Poltak, H., & Sangadji, S. S. 2021. Manajemen Pemasaran. Cv. Media Sains Indonesia, 1, 1–38. www.penerbit.medsan.co.id
  17. Vermana, A., Mahdi, M., & Khairati, R. 2019. Faktor-Faktor Yang Mempengaruhi Produksi Sektor Pertanian Sumatera Barat. JOSETA: Journal of Socio-Economics on Tropical Agriculture, 1(1), 45–51. https://doi.org/10.25077/joseta.v1i1.8
  18. Wu, G., Cui, Z., Wang, X., & Du, Y. 2024. Unveiling the Core Functional Networks of Cognition : An Ontology-Guided Machine Learning Approach NeuroImage Unveiling the core functional networks of cognition : An ontology-guided machine learning approach. August. https://doi.org/10.1016/j.neuroimage.2024.120804
  19. Wur, E., Putra, A.D., Sari, F. 2021. Efisiensi Pemasaran Digital pada UMKM di masa pandemi. Jurnal Ekonomi Pertanian Dan Agribisnis, 12(3), 45–60
  20. Zhai, T., Wang, D., Zhang, Q., Saeidi, P., & Raj Mishra, A. 2023. Assessment of the agriculture supply chain risks for investments of agricultural small and medium-sized enterprises (SMEs) using the decision support model. Economic Research-Ekonomska Istrazivanja , 36(2). https://doi.org/10.1080/1331677X.2022.2126991

Last update:

No citation recorded.

Last update:

No citation recorded.