Spatial Dynamics and Economic Drivers of Paddy Field Conversion in South Minahasa Regency, North Sulawesi, Indonesia
DOI:
https://doi.org/10.35791/jat.v7i1.66183Keywords:
paddy field conversion, farm income, horticultural crops, spatial analysisAbstract
Cropped paddy fields threaten rice self-sufficiency and rural livelihoods in many parts of Indonesia. This study examines the spatial dynamics and economic drivers of paddy field conversion in South Minahasa Regency, North Sulawesi, focusing on Tumpaan and Tatapaan Districts. Spatial analysis of land-use data for 2019 and 2024 was combined with farm-level surveys of 30 farmers and comparative farm-budget analysis for irrigated rice and four alternative crops (melon, watermelon, chilli and patchouli). The results show substantial paddy field loss, with net reductions of approximately 160.749 ha in Tumpaan and 82.68 ha in Tatapaan over the study period. Farm-budget comparisons indicate that irrigated rice on 0.62 ha yields only a small positive net cash income, whereas melon and watermelon on 1 ha each and chilli on 0.60 ha generate very high net cash returns in the observed season; patchouli, by contrast, is clearly unprofitable. Farmer interviews highlight high production costs and low margins for rice, labour shortages, difficulties in accessing fertiliser, deteriorating irrigation infrastructure and attractive market opportunities for horticultural crops as key drivers of conversion. The findings suggest that paddy field protection policies will remain ineffective if they are not accompanied by measures that improve the profitability and reliability of rice farming while recognising farmers’ rational responses to income opportunities from alternative crops.
Keywords: paddy field conversion; farm income; horticultural crops; spatial analysis
References
[1] D. Pribadi, K. Saifullah, L. O. Iman, M. Nurdin, and A. Putra, “Urban Transition in Monsoon Asian Megacity: Will Paddy Fields in the Rural–Urban Fringe Persist? Insight from Jakarta-Bandung Mega Urban Region, Indonesia,” 2023, pp. 107–124. doi: 10.1007/978-981-99-2695-4_7.
[2] Z. Sjamsir, B. Dahliana, and S. R, “ANALYSIS OF FOOD SECURITY AND SELF-SUFFICIENCY IN FOOD IN SOUTH SULAWESI,” Multidiscip. Indones. Cent. J., vol. 2, pp. 1676–1684, Apr. 2025, doi: 10.62567/micjo.v2i2.626.
[3] N. Idris and N. Nazarudin, “Barriers to Sustainable Rice Farming and Food Security in Malaysia’s Primary Granary Zones,” Int. J. Res. Innov. Soc. Sci., vol. IX, pp. 621–637, Jun. 2025, doi: 10.47772/IJRISS.2025.915EC0043.
[4] H. Fandani and R. Harini, “Impact and economic value of agricultural land conversion in sub-urban of Bantul Regency,” E3S Web Conf., vol. 200, p. 3005, Jan. 2020, doi: 10.1051/e3sconf/202020003005.
[5] Z. Xie, D. Zhu, W. Wei, C. Ye, H. Wang, and C. Li, “Phosphorus leaching risk from black soil increased due to conversion of arid agricultural land to paddy land in northeast China,” Chem. Biol. Technol. Agric., vol. 10, Jul. 2023, doi: 10.1186/s40538-023-00420-9.
[6] E. Amrullah, H. Takeshita, and H. Tokuda, “The productivity and income effects of adopting improved rice varieties by smallholder farmers in Indonesia,” J. Agribus. Dev. Emerg. Econ., May 2024, doi: 10.1108/JADEE-11-2023-0282.
[7] E. Amrullah and H. Tokuda, “The impact of agricultural extension access on the technical efficiency of smallholder rice farmers in Banten, Indonesia,” J. Agribus. Dev. Emerg. Econ., Jun. 2025, doi: 10.1108/JADEE-09-2024-0298.
[8] D. Cahyaningrum, “Pelindungan Hukum Terhadap Lahan Pertanian Pangan dari Pengalihan Fungsi untuk Non Pertanian Pangan (Legal Protection of Food Agricultural Land from Conversion to Non-Food Agricultural Land),” Negara Huk. Membangun Huk. untuk Keadilan dan Kesejaht., vol. 10, pp. 27–48, Sep. 2019, doi: 10.22212/jnh.v10i1.1218.
[9] S. Kasimin, I. Zais, A. Deli, and L. Hakim, “Evaluation of paddy field conversion rate and its impact on farmers’ income in Aceh Besar regency,” IOP Conf. Ser. Earth Environ. Sci., vol. 1510, p. 12021, Jun. 2025, doi: 10.1088/1755-1315/1510/1/012021.
[10] G. Ummah, B. Wijimulawiani, and M. D. Fadlli, “Analysis Of Factors Influencing The Community In The Conversion Of Paddy Fields In The West Nusa Tenggara Province,” Int. J. Econ. Bus. Innov. Res., vol. 4, pp. 905–921, Mar. 2025, doi: 10.63922/ijebir.v4i02.1661.
[11] N. Rombe, P. Rogi, F. J. Paat, and J. Paulus, “Spatial Mapping And Analysis Of The Harvest Time Determination Of Paddy (Oryza sativa L.) Using The Thermal Unit Of The Southeast Minahasa Regency,” J. Agroekoteknologi Terap., vol. Vol. 5, pp. 26–36, Jan. 2024, doi: 10.35791/jat.v5i1.54044.
[12] W. Kumolontang, L. Karamoy, J. Rondonuwu, and R. Kawulusan, “Testing of the N, P, and K nutrients in rice soil in the Kalawarat district of North Minahasa Regency,” J. Agroekoteknologi Terap., vol. 5, pp. 75–81, Feb. 2024, doi: 10.35791/jat.v5i1.54506.
[13] D. Sudiana et al., “A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu using Sentinel-1 and Sentinel-2 Data,” IEEE Access, vol. PP, p. 1, Jan. 2025, doi: 10.1109/ACCESS.2025.3537818.
[14] Z. Liu, J. Liu, Y. Su, X. Xiao, J. Dong, and L. Luo, “A General Model for Large-Scale Paddy Rice Mapping by Combining Biological Characteristics, Deep Learning, and Multisource Remote Sensing Data,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. PP, pp. 1–11, Jan. 2025, doi: 10.1109/JSTARS.2025.3573750.
[15] L. Nel, “Complex evaluation of ecosystem services in agricultural landscapes,” 2024. doi: 10.13140/RG.2.2.13483.35360.
[16] I. Hasmi, “Analysis of Paddy Field Conversion Using Geographic Information System (GIS) in Labuhanbatu Utara Regency, Indonesia,” J. Environ. Dev. Stud., vol. 4, pp. 122–131, May 2023, doi: 10.32734/jeds.v4i01.9209.
[17] A. Fauzan and A. Kurnia, “A Machine Learning Approach to Spatial Analysis of Paddy Field Conversion Using Multispectral Sentinel-2A Imagery,” JOIV Int. J. Informatics Vis., vol. 9, pp. 2029–2039, Oct. 2025, doi: 10.62527/joiv.9.5.3617
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Wiske Chriesti Rotinsulu, Sandra Engelin Pakasi, Nordy Fritsgerald Lucky Waney

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

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


















