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All Journal JIKI (Jurnal Ilmu Komputer dan Informatika) Pedagogy : Jurnal Pendidikan Matematika Journal of Social And Economics Research Jurnal Pengabdian Masyarakat Waradin Jurnal Ilmiah Teknik Informatika dan Komunikasi Journal of Gender Equality and Social Inclusion (gesi) journal of social and economic research Jurnal Ilmu Komunikasi, Administrasi Publik dan Kebijakan Negara Innovation and Applied Education Journal Indonesia Berdampak: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory
Aldi Saputra
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Prediksi Jumlah Penumpang Light Rail Transit (LRT) Palembang Menggunakan Metode Seasonal Autoregressive Integrated Moving Average (SARIMA) Aldi Saputra; Dewi Sartika; Rendra Gustriansyah
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.1932

Abstract

Mass transportation, particularly Light Rail Transit (LRT), plays a crucial role in supporting the modern-era mobility of Palembang's community. With the city's transit-oriented growth and high population density, the increased utilization of LRT presents challenges, such as congestion during holidays and special events, necessitating effective solutions to anticipate changes in passenger numbers. This study aims to design and implement a prediction model using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method to anticipate and forecast the number of Palembang Light Rail Transit (LRT) passengers. By integrating seasonal components into time series analysis, this research focuses on developing a model that can accurately predict fluctuations in LRT passenger numbers, especially during special events or holiday seasons. The SARIMA method is expected to be an effective tool in public transportation management for planning operational sustainability and ensuring optimal services for the Palembang community. The prediction results using the parameter model (0,1,1) (0,1,0) obtained an RMSE value of 57.68 and a Mean Absolute Percentage Error (MAPE) value of 16.69%; thus, the accuracy level achieved is 83.31%."
Co-Authors Adinda Amalia Alfi Syahri Mubarak Andini Okta Nurusama Wati Armadi Syahbani Dewi Sartika Dinda Lestari Edy Irawansyah Ega Wahyuni Eka Ananda Lintang Savitri Fikri Ardiansyah Fiqri Maulana Iqbal Afandi Irmawati Irmawati Ismai, Ismai Julhadi, Julhadi Kgs. M.Fijai Fahlevi Lilis Sugita M. Bima Rizqi M. Rizki Julianto M. Soekarno Putra Mohammad Insan Romadhan Muhammad Faris Sadikin Nofriadi Nofriadi Nur Ariska Nurhayati Nurwijayanti Putri Amelia Ramadhani Ramadhani Rendra Gustriansyah Revalina Rindi Rama Saputra6 Rio Fernando Rizky Putra E Sri Aulia St Rahmah Sulastio Sulastio Tabi In Athyam Madani Tessa Tessa Wulandari Wulandari Zulfahmi Zulfahmi