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All Journal G-Tech : Jurnal Teknologi Terapan
Nur Afifa
Universitas Papua, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Memprediksi Nilai Tukar Pembudidayaan Ikan di Provinsi Papua Barat dengan Menggunakan Metode Linear Regression Nur Afifa; Ubaydillah; Edi Meidika
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3726

Abstract

This research aims to apply the linear regression method as a tool for forecasting aquaculture exchange rates (NTPI) in West Papua province. This research uses Jupyter Notebook as a data processing platform by combining the concepts of data mining and regression analysis. Analysis of fish cultivation data and related factors such as farmer income index, household consumption index, etc. to predict NTPI values. This method can help design policies that support economic growth in the aquaculture sector by optimizing exchange rates. These results show that although predictions provide insight, there are certain limitations when using linear regression models to predict the future. The mean squared error (MSE) is 90.78 so further considerations are needed to improve model accuracy. Nevertheless, this research will provide a basis for the West Papua provincial government to implement more effective measures in the aquaculture sector.
Co-Authors Edi Meidika Ubaydillah