PREDIKSI JUMLAH PRODUKSI JAGUNG DI NUSA TENGGARA BARAT MENGGUNAKAN METODE LEAST SQUARE
Prediction of Corn Production in West Nusa Tenggara Using the Least Square Method
DOI:
https://doi.org/10.59896/aqlu.v3i1.142Keywords:
production fluctuation, least square method, Forecasting, risk mitigationAbstract
Maize production is one of the main components of food in agriculture in West Nusa Tenggara (NTB) with a significant contribution to national production. However, maize production in NTB often fluctuates due to weather conditions, climate, market prices, government policies, land area, resource availability, and access to technology and information. The aims of the research is to determine the prediction of corn production in NTB for 2024-2026. This research uses the least square method to predict maize production based on historical data trends, which allows for more accurate planning. Previous studies have shown that this method is effective in producing accurate predictions for various agricultural commodities. The results are expected to provide predictions that can be used by the government and farmers for better production planning and risk mitigation, and become a reference for the development of prediction techniques in agriculture
References
Fauzi, R. M., & Mulyana, D. I. (2021). Implementasi Data Mining Menggunakan Metode Least Square untuk Memprediksi Penjualan Lampu LED pada PT. Sumber Dinamika Solusitama. Jurnal Sosial Teknologi, 1(8), 907-919.
Irfan, A. (2014). Tinjauan Dan Proyeksi Harga Komoditas Pokok Pangan Indonesia, Skripsi. Departemen Ekonomi Sumber Daya Dan Lingkungan, Fakultas Ekonomi Dan Manajemen Institut Pertanian Bogor, Bogor.
Kurniawati, E. F., & Sari, I. I. (2020). Peramalan Produksi Padi Menggunakan Metode Least Square di Desa Leranwetan Kecamatan Palang Kabupaten Tuban. MathVision: Jurnal Matematika, 2(1), 23-28.
La, R., Rasyid, L., & Siska, D. R. (2020). Sistem Prediksi Harga Pangan Di Pasar Kota Baubau Menggunakan Metode Least Square. Jurnal Informatika, 9(1), 59-61.
Nabillah, I., & Ranggadara, I. (2020). Mean absolute percentage error untuk evaluasi hasil prediksi komoditas laut. Journal of Information System, 5(2), 250-255.
Octavia, R. W. N., & Chotijah, U. (2022). Implementasi Metode Least Square Untuk Prediksi Penjualan Kue Donat dan Bomboloni. Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, 11(1), 251-262.
Putra, Y. P., Nuralim, A., Fuadi, R. S., & Ismaniar, I. (2023). Implementasi Metode Least Square Untuk Prediksi Pengadaan Barang Di Al-Fattah Moslem Wear. journal of information system and technology, 2(2), 1-8.
Rahmad, C., Wibowo, R. S., & Puspitasari, D. (2019). Peramalan Penjualan Daging Sapi Menggunakan Metode Trend Least Square. Jurnal Teknologi Informasi Dan Terapan, 6(1), 7-11.
Ridwan, A., Faisol, A., & Wahyuni, F. S. (2020). Penerapan Metode Least Square Untuk Prediksi Penjualan Berbasis Web Pada Doni Sport Malang. JATI (Jurnal Mahasiswa Teknik Informatika), 4(1), 129-136.
Siagian, Y. (2018, September). Implementasi Metode Least Square untuk Peramalan Pertumbuhan Penduduk pada Kabupaten Asahan. In Seminar Nasional Royal (SENAR) (Vol. 1, No. 1, pp. 375-380).
Shidiq, B. G. A., Furqon, M. T., & Muflikhah, L. (2022). Prediksi Harga Beras menggunakan Metode Least Square. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 6(3), 1149-1154.
Yulian, I., Anggraeni, D. S., & Aini, Q. (2020). Penerapan metode trend moment dalam forecasting penjualan produk cv. rabbani asyisa. JURTEKSI (Jurnal Teknologi dan Sistem Informasi), 6(2), 193-200.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fitrah Ramadhan, Umar Abdullah, Ahmad Ihsan Uluwi, Nuzla Af'idatur Robbaniyyah, Tri Maryono Rusadi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
