Land Suitability Analysis Using the Modified Profile Matching Method
Abstract views: 43 , PDF downloads: 47Abstract
The plantation sector plays a significant role in Indonesia's economy, particularly in coffee production. In the province of West Nusa Tenggara (NTB), coffee production experienced annual fluctuations from 2018 to 2021. One of the causes is the lack of public understanding in utilizing land according to its natural potential, leading to decreased productivity and land degradation. Based on discussions with plantation experts from Politeknik LPP Yogyakarta, this study identifies land characteristics divided into qualitative data, such as drainage and soil texture, and quantitative data, including temperature, rainfall, humidity, elevation, effective soil depth, slope, cation exchange capacity (CEC), base saturation, pH H2O, organic carbon (C-organic) content, and nitrogen (N). The application of the modified profile matching method demonstrates its capability in providing recommendations for coffee crop suitability in East Lombok Regency. Data matching tests between land profile values and coffee crop profile values, involving experts from Politeknik LPP Yogyakarta and the NTB Provincial Agriculture Office, resulted in liberica coffee being ranked first in eight sub-districts. However, in one sub-district, Sembalun, robusta coffee did not rank second, as arabica coffee was preferred.
Downloads

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
[2] D.G. Rossiter, “Land Evaluation, Dept. of Soil, Crop & Atmospheric Sciences,” College of Agriculture and Life Sciences, Cornell University, 1994.
[3] S. Ritung, K. Nugroho, A. Mulyani, and E. Suryani, “Petunjuk Teknis Evaluasi Lahan Untuk Komoditas Pertanian (Edisi Revisi),” Bogor: Balai Besar dan Pengembangan Sumberdaya Lahan Pertanian (Badan Penelitian dan Pengembangan Pertanian), 2011.
[4] Najiyati, S. dan Danarti. 2007. Kopi: Budidaya dan Penanganan Lepas Panen, Jakarta, Penebar Swadaya.
[5] Budiman, Haryanto 2015. Prospek Tinggi Bertanam Kopi (Pedoman Meningktkan Kualitas Perkebunan Kopi. Yogyakarta: Pustaka Baru Press.
[6] Soemarno, S., Prijono, S., Ifadah, N. F., Ramadhani, M. H., Alfathin, S. C., Maulana, M., Sasmita, N. A., & Latifah, H. (2024). Perbaikan Kualitas Lahan untuk Kebun Kopi Rakyat. Universitas Brawijaya Press.
[7] Food and Agriculture Organization (FAO). 1976. A framework for land evaluation. In FAO Soil Bulletin 32. Soil Resources Management and Conservation Service and Water Development Division, FAO, Rome.
[8] E. Turban,J.E. Aronson, and T.P. Liang, "Decision Support Systems and
Intelligent Systems 7th Edition," New Delhi, Prentice Hall, Inc, 2005.
[9] H. Pratiwi, “Buku Ajar Sistem Pendukung Keputusan Edisi.1, Cetakan.1,” Yogyakarta: Deepublish, 2016.
[10] S.B. Sasongko, “Metode Numerik Dengan Scilab,” Yogyakarta: Andi Offset, 2010.
[11] Kusrini., 2007, Konsep Dan Aplikasi Sistem Pendukung Keputusan, Yogyakarta, Andi Offset.