Analisis Data Pertanian Tanaman Pangan untuk Memprediksi Hasil Panen di Kabupaten Malaka Menggunakan Metode Multiple Linear Regression

TEDY, Frengky and SAMANE, Ignasius P. A. N. and BATARIUS, Patrisius and NANI, Paskalis Andrianus and SINLAE, Alfry A.J. (2024) Analisis Data Pertanian Tanaman Pangan untuk Memprediksi Hasil Panen di Kabupaten Malaka Menggunakan Metode Multiple Linear Regression. KONSTELASI: Konvergensi Teknologi dan Sistem Informasi, 4 (1). pp. 209-221.

Text Analisis Data Pertanian Tanaman Pangan untuk Memprediksi Hasil Panen di Kabupaten Malaka Menggunakan Metode Multiple Linear Regression.pdf Restricted to Repository staff only Download (857kB)

Abstract

Malaka Regency is a new autonomous region with one of its basic sectors being agriculture. From 2012 to 2021, agricultural production in the form of rice, corn, and green beans always experienced increases and decreases. Several factors cause increases and decreases in food crop production, namely the conversion of land from agriculture to building land, the still high price of food on the market and increasing demand, as well as the population continuing to increase. For these reasons, a method is needed to predict the yield of food crops in Malaka Regency for the next 5 years. It can help the agricultural department make related decisions, to support the Regional Government in helping to provide the food needed for the local community. In this study, the multiple linear regression method was used to make predictions. The results with a coefficient of determination test of 0.918 showed that 91.8% of the variation in the dependent variable can be explained by the independent variables in the model. Apart from that, there were three statistical analyses used to see the performance of the multiple linear regression method, namely the MSE value of 69611782.304, RMSE of 8343.368, and MAE of 7327.695

Actions (login required)

View Item