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Journal : The Indonesian Journal of Computer Science

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Prediksi Curah Hujan di DKI Jakarta Menggunakan Model Hybrid (DWT-SVR-Prophet) Ramadita, Mutiara; Mahmudi; Wijaya, Madona Yunita
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4357

Abstract

Rainfall has a significant influence in the planning and management of various industries such as forestry, agriculture, and water resources. This research aims to develop a Hybrid model that combines Discrete Wavelet Transform (DWT), Support Vector Regression (SVR) and Prophet models to predict rainfall in the DKI Jakarta area more accurately. Using DWT, rainfall data is divided into high and low frequency components, then the prediction results from each model are combined. At Kemayoran Station, the Hybrid model (High Frequency SVR and Low Frequency Prophet) provides the best performance with SMAPE: 36.44%. At Tanjung Priok Station, the non-Hybrid model gave the best results, with Prophet without DWT achieving SMAPE: 29,82%. This study provides a clear understanding of how effective rainfall prediction models are in DKI Jakarta, which helps water resources planning and management.
Pemodelan Indeks Kualitas Udara PM2.5 di Kemayoran, Jakarta, dengan Faktor Meteorologi Menggunakan ARFIMAX Oktavia Laras Dianingati; Mahmudi; Dhea Urfina Zulkifli
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4663

Abstract

Poor air quality that significantly impacts on health due to fine particles PM2.5 has become one of the serious problems in urban areas such as Kemayoran, Jakarta. This study aims to predict the Air Quality Index of PM2.5 pollutant in Kemayoran, Jakarta, with the ARFIMAX model which will be compared with the ARFIMA model. The ARFIMAX modeling involves meteorological factors as exogenous variables. The research results showed that the ARFIMAX(1,0,33,1) model with significant exogenous variables, namely minimum temperature, average temperature, and wind direction at maximum speed provides better prediction accuracy with a Mean Absolute Percentage Error (MAPE) value of 23.69%, compared to ARFIMA with a MAPE value of 25.76%. This decrease in MAPE value indicates that the addition of exogenous variables in the model can improve the accuracy of air quality forecast.
Co-Authors Abdullah Ach karimolloh Achmad Taufiq Achmad Taufiq Agung Setiyawan Aisyah, Maulidyati Akhsan Ali Rohmad, Muhammad Amanda Setia Subagyo Andri Yuningsih Angga Bayu Pratama Annisa Fitriani Anwar, Syaeful Aprilia, Siska Aulia, Anggyta Ismi Aulia, Maulida Bawa Mulyono Hadi Chaerunnisa Christi, Brenda Gracia Dachi, Andreas Aditama Danang Setyadi Dewi, Herlina Rahmawati Dhea Urfina Zulkifli Endang Sutisna Fajar, Moh. Ibnu Faradiba, Nadia Firdha Wulandari Ghani, Mohammad Abdul H. Husin Bafadhal Hadi Kurniawan, Hadi Hafidhillah, Haikal Harahap, Iman Yani Henderi Heni Susanti Heriman, Muhammad Herri Novealdi Hestutami, Sih Hayuningtyas Humaidi I Gusti Ayu Bhyrani Larasati Punar Iffiani, Zelly Ihsan, Fahmi Ahwalul Ilham Abdillah Farhan Imilda Indriawan, Pugar Intan Syahrini Irfan, Zainal Abidin Iskandar, Syah Ismail Jauharie Maulidie Kandiri Kandiri Karimah, Hasanatul Kusrini Kusumawati, Anna Kuswurjanto, Risvan Lasulita, Ahmad Faruq Leman, Suwanggi Lestariningsih, Titin Lusiana, Alda Alia Machmud Mahendra, Idha Masruroh, Khoridatul Mau, Daniel Pandu Maulana, Mizan Mauliza, Nizar Miftahudin, Dede Atung Minhaji Moh. Rolis Muchammad Zulkifli Fajar Irawan Muhammad Muhammad Andika, Muhammad Muhammad Manaqib, Muhammad Muhammad Ramadhan Muhammad Syaifullah Mukhlish Mulyawan, Hafid Neti Kusuma Ngabidin Nia Trisnawati Noerlitasari Nugroho, Reismaya Wanamertan Nur Aulia Zannah Nurainun Nurazizah Nurhayati, Nia Oktavia Laras Dianingati Permadhi, Danang Prabowo, Haris Prabowo, Ivy Dian Puspitasari Pratiwi, Maharani Dwi Premarci, Asaquita Sophie Purwaningsih, Yuli Putri, Febby Yuliana Qadarin, Maryam Radhiah Rahma Azizatun Ni'mah Rahmah, Husni Rahmawati Annisa Salsadilla Ramadita, Mutiara Ranila, Rahayu Rif’ah Rizal, Alvin Noor Sahab Rizky Kurniawan Sahrul Said Munzir Saputra, T Murdani Sifa, Nikmatus SITI MARYAM Siti Rusdiana Suliyeh Supriadi Syarifah, Zubdatus T. Mohd. Raja Maulana Tarigan, Daniel Ch. Titik Widyasari, Titik Tjhing Man Lie Wahidin Wibowo, Dradjad Hari Wijaya, Madona Yunita Yan Surudin