PREDIKSI JUMLAH PRODUKSI KOPRA MENGGUNAKAN METODE REGRESI LINEAR BERGANDA PADA UMKM MANDIRI DESA LION

Indonesia

https://doi.org/10.37195/balok.v4i2.958

Authors

  • ABDUL_MUHRIZAL_ZULKIFLI_H_MARADA UNIVERSITAS ICHSAN GORONTALO
  • Haditsah Annur Universitas Ichsan Gorontalo
  • Warid Yunus Universitas Ichsan Gorontalo
  • sudirman S. Panna Universitas Ichsan Gorontalo

Keywords:

Prediksi Produksi Kopra, Regresi Linear Berganda, CV. Lion Utama, MAPE

Abstract

Abstract This study aims to apply multiple linear regression methods in predicting copra total production at CV. Lion Utama. The results of system testing show that the value of V(G) = CC = 2 indicates that the system meets the requirements of programming logic and is not complex. Black-Box Testing also shows that the system is free of component errors. The prediction of copra total production for January 2022 using the multiple linear regression method gives valid results. The accuracy of this prediction is measured by Mean Absolute Percentage Error (MAPE), resulting in a value of 77.27%, indicating a Fairly High level of accuracy in copra production estimation.

Keywords: production prediction, copra, multiple linear regression, CV. Lion Utama, MAPE

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Published

2025-11-18

Issue

Vol. 4 No. 2 (2025)

Section

Articles
Copyright & Licensing