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All Journal JSAI (Journal Scientific and Applied Informatics) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Idealis : Indonesia Journal Information System Jurnal Algoritma Journal of Elektronik Sistem InformasI
Budy Santoso, Cahyono
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

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Pengembangan Dashboard Prediksi Penggunaan Transportasi Umum Berbasis Business Intelligence dan Random Forest di Jakarta Ahmad, Alifio Fikra Ahmad; Budy Santoso, Cahyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2941

Abstract

This study applies the concept of Business Intelligence (BI) to predict and visualize trends in public transportation usage in Jakarta to support data-driven decision making. Secondary data from the Satu Data Jakarta portal was analyzed using the Random Forest algorithm due to its ability to process complex variables with accurate prediction results (R² = 0.978). The results show that TransJakarta, MRT, and KRL have stable passenger trends, while LRT, KCI Commuter Bandara, ships, and school buses are more volatile. These results are visualized in a web-based dashboard that facilitates fleet planning and public transportation operational policies. This research contributes to the application of BI in the transportation sector by presenting a prediction model that supports data-driven policy formulation.
Co-Authors Ahmad, Alifio Fikra Ahmad Bhagawanta, Bajra Bilqis, Sahla Lutfiah Dzahabiyyah, Firah Faizul Anwar Ramdhani Ghaniy, Rajib Hafid Roihan Harry Vadilan Sianturi Makarena, Maria Rachel Kesya Muhammad Mujiburochman Nuraina, Anezza Rachma, Mutia Raihan Cikal Herlambang Reyner Shaquille Rachim Vistiyawati, Vanessa