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Rima Aprilia
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

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Implementation of Recurrent Neural Network with Long Short Term Memory Algorithm for Dengue Fever Prediction in Medan City Br Surbakti, Rivani Kabrina; Aprilia, Rima; Siregar, R Maisaroh Rezyekiyah
Journal of Mathematics, Computations and Statistics Vol. 9 No. 1 (2026): Volume 09 Issue 01 (March 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/fcqd6q15

Abstract

. Dengue Hemorrhagic Fever (DHF) remains one of the major public health problems in Medan City due to the high incidence rate each year. Accurate prediction of DHF cases is essential as an early warning and to support health policy planning. This study aims to implement the Recurrent Neural Network (RNN) with the Long Short-Term Memory (LSTM) algorithm to predict the number of DHF cases in Medan City. The data used consist of monthly DHF cases from each public health center (puskesmas) in Medan City from January 2020 to December 2024, obtained from the Medan City Health Office. The data were preprocessed through normalization and divided into training and testing sets. The LSTM model was developed with several testing scenarios of units, epochs, and batch size, and evaluated using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results showed that the LSTM model could predict DHF cases with relatively low error rates, achieving an RMSE of 2.02 and an MAE of 1.64 at the best configuration. Therefore, it can be concluded that the LSTM algorithm is effective in predicting the number of DHF cases in Medan City and can serve as a reference in prevention and disease control strategies. Keywords: Dengue Hemorrhagic Fever (DHF), Prediction, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Time Series.
Co-Authors Adawiyah, Robiyatul Adella Aulia Mukti Afnaria, Afnaria Afsari, Khaila Amanda Ulayyah Mahaputri Anjeli, Sarifah Aprianingsih, Melinda Ardiansyah, Fikri Nur Atika Nabila Ayilzi Putri Br Surbakti, Rivani Kabrina Br. Rambe, Ramadiani Damanik, Mahyuni Br Damayanti Darmawan, Dian Deasy, Deasy Dedy Juliandri Panjaitan Della Arsita sari Dewi, Desi Erni Diah Reka Putri Ellysa Syahfitri Fairuz, Ersya Nurul Fajari Husnul Walid Fayed, Heba A. Fazariani, Nabila Fernanda, Fariz Hakim Fibri Rakhamawati Filia Sari, Rina Firmansyah Firmansyah Hasibuan, Riza Sakhbani Hema Pebria Rollingka Hendra Cipta Husna, Wilia Indah Widya Hanzani Irvan Ginting Ismail Husein, Ismail Khairani, Sabila Laila Agustin Pohan Lisa Setia Ningsih MA, Wilda Syahrani Mahaputri, Amanda Ulayyah Mahyuni Br Damanik Majidah, Nur Marwan Marwan Mawarni Mawarni Mawarni Mawarni Maymunah Tarigan, Siti Melati, Melati Puspita Sari Lubis Miwadari Miwadari Muhammad Harits Azhari Muhammad Ridwan Mutiara, Tia Nasution, Ainil Hafizha Nasution, Hamidah . Nasution, Syahronal Hidayat Ningsi, Ria Sagita Nur Iman Nuri Prasuci Nuriman Astuti Batubara Prasetya, Nurul Huda Puspita, Reni Putri Rahma Novia Putri, Ayilzi Putri, Chindy Aulia Rahayu, Tiwi Rakhmawati, Fibri Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Riri Syafitri Lubis Riri Syahfitri Lubis Rismayani Rismayani Rismayani Rismayani Riza Faishol Riza Sakhbani Hasibuan Sajaratud Dur Sajaratud Dur, Sajaratud Sapta, Andy Setiawan, Agun Siregar, Annisa Fadhillah Putri Siregar, Aulia Rahman Siregar, Machrani Adi Putri Siregar, Nurmala Sari Siregar, R Maisaroh Rezyekiyah Siti Aisyah Siti Handayani Sri Wahyuni Suci Pranasari Suendri Suendri, Suendri Sugarda, Ahmad Suhaimi, Syech Suhendra, Irfan Sulaiman Ananda Harahap Syahfitri, Sella Syahputri, Nenna Irsa Tanjung, Muhammad Afrizal Tarigan, Umar Abdul Gani Taufik Hidayat Manurung Tri Handayani Triase Triase Usna, Wilia Via, Azizah Nurma Walid, Fajari Husnul Widyasari, Rina Wulandari, Mitha Yolandini Eka Putri Yuda, Muhammad Wira Yulinda, Jeni YUSMANIDAR, YUSMANIDAR Zakaria, Nur Haryani