Skip to main navigation menu Skip to main content Skip to site footer

Vol. 19 No. 2 (2025)
In press/En prensa

Vegetable section

Analysis of farmers' preferences in choosing horticultural crops in Gowa Regency, Indonesia: Fact finding from binary logistic regression analysis

https://doi.org/10.17584/rcch.2025v19i2.18672

Published 2025-05-01

  • Ardi Rumallang
    • ,
  • Akbar Akbar
    • ,
  • Nurdin Mappa
    • ,
  • Abdul Halil

Ardi Rumallang
Universitas Muhammadiyah Makassar, Agriculture Faculty, Department of Agribusiness, Makassar (Indonesia)

Akbar Akbar
Universitas Muhammadiyah Makassar, Agriculture Faculty, Department of Agribusiness, Makassar (Indonesia)

Nurdin Mappa
Universitas Muhammadiyah Makassar, Agriculture Faculty, Department of Agribusiness, Makassar (Indonesia)

Abdul Halil
Universitas Muhammadiyah Makassar, Agriculture Faculty, Department of Agribusiness, Makassar (Indonesia)

Farmers' preferences in choosing horticultural crops. Photos: A. Rumallang

Abstract

This study examines the preferences of farmers in choosing horticultural commodities. The number of respondents was 70 farmers selected using a random sampling technique, and the data were analyzed using binary logistic regression. The results showed that farmers' preferences in conducting horticultural farming in Tombolopao District, Gowa Regency (Indonesia), included cabbage, potato, tomato, mustard greens, onion, carrot, chilli and broccoli. The results of the binary logistic regression showed that the potato commodity was the main preference of farmers, as evidenced by a significant value in the Wald test of 0.001. The potato commodity has an odds ratio value of 0.022 with an estimated value of -3.824. This indicates a negative correlation between the potato variable and farmers' preferences. This means that probability of farmers choosing other commodities instead of potatoes is very low, at only 0.022%. This also provides evidence that the decision to grow potatoes is strongly favored, making potatoes a mainstay commodity on their farms. Evidence from the field indicates that farmers prefer potatoes due to their higher and more stable prices, greater durability, consistent market availability, and higher income compared to other crops.

Keywords

Farm planning, Agricultural decision-making, Potato, Agriculture in Indonesia

PDF

References

  1. Adawiyah, R., E. Edison, and A. Rahman. 2022. Analisis keuntungan usahatani kentang dan faktor-faktor yang mempengaruhinya di Kabupaten Kerinci. Sibatik J. 2(1), 305-328. Doi: https://doi.org/10.54443/sibatik.v2i1.549
  2. Akbar, A., A. Rumallang, and C. Rahmawati. 2024. Efficiency analysis of tomato farming (Solanum lycopersicum L.) in the highlands using a frontier stochastic analysis: evidence from Gowa, Indonesia. Rev. Colomb. Cienc. Hortic. 18(3), e18355. Doi: https://doi.org/10.17584/rcch.2024v18i3.18355
  3. Aravindakshan, S., T.J. Krupnik, T.S. Amjath-Babu, S. Speelman, J. Tur-Cardona, P. Tittonell, and J.C.J. Groot. 2021. Quantifying farmers’ preferences for cropping systems intensification: a choice experiment approach applied in coastal Bangladesh’s risk prone farming systems. Agric. Syst. 189(01), 103069. Doi: https://doi.org/10.1016/j.agsy.2021.103069
  4. Arikunto, S. 2016. Prosedur penelitian suatu pendekatan praktik. Rineka Cipta, Jakarta.
  5. Arita, B., A.A. Managanta, and I. Mowidu. 2022. Hubungan karakteristik petani terhadap keberhasilan usahatani jagung. SEPA 19(1), 105-113. Doi: https://doi.org/10.20961/sepa.v19i1.55116
  6. BPS Kabupaten Gowa. 2022. Kabupaten Gowa dalam angka 2022. Sungguminasa, Indonesia.
  7. BPS Provinsi Sulawesi Selatan. 2021. Provinsi Sulawesi Selatan dalam Angka 2021. Sulawesi Selatan, Indonesia.
  8. Chen, H., P. Cohen, and S. Chen. 2010. How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Commun. Stat-Simul. Comput. 39(4), 860-864. Doi: https://doi.org/10.1080/03610911003650383
  9. Effendy, L., T. Billah, and G. Pratama. 2020. Preferensi petani dalam penggunaan teknologi Jajar Legowo pada padi sawah di Kecamatan Cikedung. J. Inov. Penelit. 1(3), 347-360.
  10. Humaidi, E., B. Unteawati, and A. Analianasari. 2020. Pemetaan komoditas sayur unggulan di Provinsi Lampung. J. Agribisnis Indones. 8(2), 106-114. Doi: https://doi.org/10.29244/jai.2020.8.2.106-114
  11. Isbah, U. and R.Y. Iyan. 2016. Analisis peran sektor pertanian dalam perekonomian dan kesempatan kerja di Provinsi Riau. J. Sosial Eko. Pemb. 7(19), 45-54.
  12. Istiqomah, N., N.S. Mulyani, I. Mafruhah, and D. Ismoyowati. 2017. Analisis pengembangan klaster hortikultura di Kabupaten Ngawi. J. Litbang Prov. Jawa Tengah 15(1), 103-118. Doi: https://doi.org/10.36762/litbangjateng.v16i1.755
  13. Kementerian Pertanian. 2021. Angka tetap hortikultura tahun 2021. Jakarta.
  14. Krisnohadi, A. and R. Riduansyash. 2015. Analisis pengembangan kawasan hortikultura dengan aplikasi sistem informasi geografis dan analythical hierarchy process (AHP). J. Pedon Trop. 1(1), 37-47. Doi: https://doi.org/10.26418/pedontropika.v1i1.15601
  15. Naufal, M.F. and I. Chofyan. 2022. Pengembangan budidaya minapadi berdasarkan preferensi petani. J. Riset Perenc. Wil. Kota 2(2), 157-166. Doi: https://doi.org/10.29313/jrpwk.v2i2.1385
  16. Nidumolu, U., M. Lubbers, A. Kanellopoulos, M.K. van Ittersum, C.H. Roth, P. Mishra, N.S. Bagchi, S. Majumdar, L. Carter, M.W. Rahman, M. Das, and D.S. Gaydon. 2022. Integrating gender and farmer’s preferences in a discussion support tool for crop choice. Agric. Syst. 195, 103300. Doi: https://doi.org/10.1016/j.agsy.2021.103300
  17. Pitaloka, D. 2017. Hortikultura: potensi, pengembangan dan Tantangan. G-Tech 1(1), 1-4. Doi: https://doi.org/10.33379/gtech.v1i1.260
  18. Prayoga, M.K., N. Rostini, M.R. Setiawati, T. Simarmata, S. Stoeber, and K. Adinata. 2018. Preferensi petani terhadap keragaan padi (Oryza sativa) unggul untuk lahan sawah di wilayah Pangandaran dan Cilacap. J. Kultiv. 17(1), 523-530. Doi: https://doi.org/10.24198/kultivasi.v17i1.15164
  19. Purba, T., K. Tarigan, and T. Supriana. 2022. Analisis sikap dan preferensi petani terhadap penggunaan benih padi varietas unggul di Kabupaten Langkat Sumatera utara. J. Agrica 15(1), 35-47. Doi: https://doi.org/10.31289/agrica.v15i1.5169
  20. Rumallang, A. 2019. Kajian bagi hasil dan pendapatan petani berbasis komoditi di desa Erelembang Kecamatan Tombolopao Kabupaten Gowa. Ziraa’Ah Maj. Ilm. Pertan. 44(3), 326-336. Doi: https://doi.org/10.31602/zmip.v44i3.2105
  21. Rumallang, A. and A. Akbar. 2021. Tipologi petani dalam keberagaman usahatani sayur di desa Erelembang kecamatan Tombolopao Kabupaten Gowa. J. Agrik. 32(3), 319-326. Doi: https://doi.org/10.24198/agrikultura.v32i3.37162
  22. Rumallang, A., A. Akbar, M.I. Saleh, and R. Ratnawati. 2023. Pola usahatani sayur di desa Erelembang kecamatan Tombolopao Kabupaten Gowa. J. Agrik. 34(2), 325-333. Doi: https://doi.org/10.24198/agrikultura.v34i2.47384
  23. Rumallang, A., J. Jumiati, A. Akbar, and N. Nandir. 2020. Analisis struktur, perilaku dan kinerja pemasaran kentang di desa Erelembang Kecamatan Tombolopao Kabupaten Gowa. J. Agrik. 30(3), 83-90. Doi: https://doi.org/10.24198/agrikultura.v30i3.23963
  24. Rumallang, A., M. Salam, L. Fudjaja, and P. Diansari. 2025. Gross margin, profitability index, and financial feasibility analyses of potato farming: empirical facts from Gowa Regency, Indonesia. IOP Conf. Ser.: Earth Environ. Sci. 1471, 012036. Doi: https://doi.org/10.1088/1755-1315/1471/1/012036
  25. Safir, M., M. Jayadi, and R. Neswati. 2024. Pemetaan kesesuaian lahan desa Tonasa Kecamatan Tombolo Pao untuk tanaman hortikultura. J. Ecosolum 12(2), 223-242. Doi: https://doi.org/10.20956/ecosolum.v12i2.23573
  26. Sarvina, Y. 2019. Dampak perubahan iklim dam strategi adaptasi tanaman buah dan sayuran di daerah tropis. J. Litbang Pertan. 38(2), 65-76.
  27. Setiyowati, T., A. Fatchiya, and S. Amanah. 2022. Pengaruh karakteristik petani terhadap pengetahuan inovasi budidaya cengkeh di Kabupaten Halmahera Timur. J. Penyul. 18(2), 208-218. Doi: https://doi.org/10.25015/18202239038
  28. Suresh, K., C. Wilson, U. Khanal, S. Managi, and S. Santhirakumar. 2021. How productive are rice farmers in Sri Lanka? The impact of resource accessibility, seed sources and varietal diversification. Heliyon 7(6), e07398. https://doi.org/10.1016/j.heliyon.2021.e07398
  29. Susanti, D., N.H. Listiana, and T. Widayat. 2016. Pengaruh umur petani, tingkat pendidikan dan luas lahan terhadap hasil produksi tanaman Sembung. J. Tumbuh. Obat Indones. 9(2). Doi: https://doi.org/10.22435/toi.v9i2.7848.75-82
  30. Tania, S.P., M. Mubarokah, and E. Priyanto. 2023. Pemetaan potensi komoditas hortikultura unggulan. J. AgribiSains 9(1), 51-60. Doi: https://doi.org/10.30997/jagi.v9i1.6627

Downloads

Download data is not yet available.

Similar Articles

<< < 1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.