Implementation of Data Mining Using Simple Linear Regression Algorithm to Predict Export Values

Scientific Journal of Engineering Research, vol. 1, pp. 26–32

Abstract

This study aims to analyze the trends in export value in East Kalimantan. The research utilizes secondary data sourced directly from the Central Statistics Agency of East Kalimantan Province. A simple linear regression algorithm for data mining is employed as the analytical method. The findings indicate a decline in East Kalimantan's export value from January 2022 to April 2024, as well as in the forecasted export value from May 2024 to December 2024. The prediction model achieved a Root Mean Square Error (RMSE) value of 3.182%, demonstrating a high level of accuracy in estimating export values. This research is expected to serve as a valuable reference for stakeholders in formulating strategies to enhance East Kalimantan's export performance and contribute to the region's future economic development.

Authors 3

1. Aldi Bastiatul Fawait

   Widya Gama Mahakam University

   Affiliation as printed

   Department of Computer Science, Universitas Widya Gama Mahakam Samarinda

2. Nazaruddin Insyroh Aachen Department of Law and Digital Technologies

   Leiden University

   Affiliation as printed

   Department of Law and Digital Technologies, Leiden University

3. Asno Azzawagama Firdaus

   Universitas Qamarul Huda Badaruddin

   Affiliation as printed

   Department of Computer Science, Universitas Qamarul Huda Badaruddin Bagu