Estimation Of Cassava Production in Central Buton Using the Mean Absolute Error (MAE) Method in the Multiple Linear Regression Algorithm
DOI:
https://doi.org/10.24252/msa.v14i1.59178Keywords:
Planting Distance, Land Area, Mean Absolute Error (MAE), Cassava Production, Multiple Linear RegressionAbstract
This research has the potential to offer new contributions in the application of statistical methods in agriculture. The aim is to provide a stronger basis for farmers and the government in increasing cassava production in the future based on planting distance and land area. The method used is the Mean Absolute Error (MAE) in the Multiple Linear Regression Algorithm. The result partial test show that planting distance has a real and positive effect on cassava production in Central Buton, as evidenced by the value of T_value= 2.320 > T_table= 1.997, with a significance value of 0.023 < 0.05. Likewise, the partial test results show that land area has a real and positive effect on cassava production, as indicated by the value of T_value= 7.095 > T_table = 1.997, with a significance value of 0.000 < 0.05. Meanwhile, the simultaneous test results show that planting distance and land area have a real and positive effect on cassava production, as indicated by the value of F_value= 56.087 > F_table = 3.986, with a significance value of 0.000 < 0.05. The magnitude of the combined effect, based on the coefficient of determination test, is 62.2%. Thus, the Mean Absolute Error (MAE) method, the average prediction error of the Multiple Linear Regression model obtained obtained very good or acceptable results, namely 111 or around 0.3% of the average error compared to the actual value.
References
S. Maulida and A. Yunani, “Peluang dan tantangan pengembangan usaha mikro kecil menengah (umkm) dari berbagai aspek ekonomi,” Jurnal Ilmiah Manajemen Dan Bisnis, vol. 2, no. 1, pp. 181–197, 2017.
N. Jamil, H. B. Setyawan, S. Hartatik, S. Soeparjono, and S. Avivi, “Aplikasi pupuk organik (kompos) dan jarak tanam terhadap pertumbuhan dan produksi singkong (crantz) varietas cimanggu di lahan kering berpasir,” Jurnal Nasional Perhimpunan Ilmu Pemuliaan Indonesia, pp. 238–239, October 2017.
W. Endah and S. Dyah, Buku Budidaya dan Aneka Olahan Singkong, 1st ed. Lembaga Penelitian dan Pengabdian Kepada Masyarakat, 2021.
L. Fajriyah, S. Sa’diah, K. Mulamawarni, A. Merlina, M. Ridwan, B. Febriyanti, and R. O. Khastini, “Manajemen ketahanan pangan melalui program diversifikasi pangan di sumatera utara dalam rangka mendukung pertahanan negara,” Jurnal Ilmu Pertanian, vol. 12, no. 1, pp. 8–16, 2024.
Dinas Tanaman Pangan dan Peternakan Provinsi Sulawesi Tenggara (Distanak Sultra), “Produksi ubi kayu sultra 260.916 ton,” 2021, diakses pada: 2026.
H. Zulfani, “Analisis usahatani dan pemasaran stroberi (studi kasus: Desa dolat rayat dusun iii tongkoh kecamatan berastagi kabupaten karo),” Undergraduate Thesis, Universitas Muhammadiyah Sumatera Utara Medan, 2017.
A. Pithaloka, Sunyoto, M. Kamal, and K. F. Hidayat, “Pengaruh kerapatan tanaman terhadap pertumbuhan dan hasil beberapa varietas sorgum (sorghum bicolor (l.) moench),” Jurnal Agrotek Tropika (JAT), vol. 3, no. 1, pp. 56–63, 2015.
G. Raditya and K. Kristiana, “Mengkaji sistem tanam tumpangsari tanaman semusim,” Jurnal Proceeding Biology Education Conference, vol. 15, no. 1, pp. 791–794, 2018.
M. W. Ahmed, “Understanding mean absolute error (mae) in regression: A practical guide,” 2023, blog post.
R. Hyndman and G. Athanasopoulos, Forecasting: Principles and Practice, 2nd ed. OTexts, 2018.
G. James, D. Witten, and R. T. Tibshirani, An Introduction to Statistical Learning, 1st ed. New York, Amerika Serikat: Springer, 2017.
S. Meyyappan, “Improving forecasting accuracy using machine learning algorithms,” Journal on Electronic and Automation Engineering, vol. 2, no. 4, pp. 9–18, 2023.
I. Ghozali, Aplikasi analisis multivariate dengan program IBM SPSS 25, 9th ed. Universitas Diponegoro, 2018.
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