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All Journal Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Samosir, Makmur Jaya
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Perbandingan Regresi Linier dan Artificial Neural Network dalam Prediksi Penumpang Kereta Api Sidabutar, Saudurma S. S.; Sitohang, Septian Trio; Samosir, Makmur Jaya; Simatupang, Yosua Alexandru; Hardinata, Jaya Tata
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.822

Abstract

The development of rail transportation in Indonesia continues to change over time. These changes are influenced by various factors, such as government policies, the economic situation, and improvements in railway infrastructure. This dynamic suggests that better transportation planning requires predictive techniques that can accurately identify changing patterns. This study aims to compare Linear Regression and Artificial Neural Network (ANN) methods in predicting national rail passenger numbers. Before being used for modeling, the time series data underwent a preprocessing stage. The research process included dividing the data into training and test data, applying both prediction methods, and evaluating model performance using Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). The results showed that the ANN method was more accurate than the Linear Regression method. Therefore, the ANN method may be a better choice to assist rail transportation planning in Indonesia.
Co-Authors Jaya Tata Hardinata Sidabutar, Saudurma S. S. Simatupang, Yosua Alexandru Sitohang, Septian Trio