METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi

PREDIKSI HARGA KELAPA SAWIT MENGGUNAKAN METODE REGRESI LINEAR BERGANDA: Studi Kasus PT. Bakrie Sumatera Plantations, Tbk.

Eliza, Agnes Lasmaria (Unknown)
Manalu, Darwis Robinson (Unknown)
Yohanna, Margaretha (Unknown)



Article Info

Publish Date
30 Apr 2024

Abstract

Indonesia's plantation sector, especially palm oil, has a high selling value and its attractiveness continues to increase. The price of palm oil is strongly influenced by external factors, especially the price of crude oil (CPO) and palm oil production globally. Unstable price fluctuations have become a challenge for companies such as PT Bakrie Sumatera Plantations, Tbk. in planning harvest time and optimizing profits. To overcome this uncertainty, this study proposes the use of the Multiple Linear Regression method to predict palm oil prices. Price and production data from 2021 to 2023 are the main basis for developing the prediction model. In this study, 4 independent variables were used, namely year, month, oil price and total production. The amount of data used in this study is 33 data. In testing the Multiple Linear Regression method has an RMSE value of 0.24 and the predicted value of palm oil prices from January to December 2024 is the price of palm oil with the highest value in January 2024 of Rp. 2,276.931 / kg and with the lowest value in December 2024 of Rp. 1,474.75 / kg.

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Journal Info

Abbrev

methomika

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance

Description

Sistem Informasi Sistem Informasi Manajemen Sistem Informasi Akuntansi Manajemen Basis Data Pengembangan Aplikasi Web dan Mobile Sistem Pendukung Keputusan Desain Grafis dan Multimedia Audit Sistem Informasi Topik-topik lain yang Relevan dengan bidang ilmu Manajemen Informatika Topik-topik lain yang ...