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Muhammad Syafaat S. Kuba
Universitas Muhammmadiyah Makassar
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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KLASIFIKASI RISIKO INFEKSI SALURAN PERNAPASAN AKUT MENGGUNAKAN ENSEMBLE SOFT VOTING BERBASIS REKAM MEDIS Alvian Syah Burhani; Muhammad Faisal; Fahrim Irhamna Rachman; Darniati; Titin Wahyuni; Muhammad Syafaat S. Kuba; Farida Gaffar
PROGRESS Vol 18 No 2 (2026): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v18i2.467

Abstract

This study proposes a risk classification model for Acute Respiratory Infections using a Soft Voting-based Ensemble Learning approach, which integrates prediction probabilities from the Random Forest and Extreme Gradient Boosting algorithms. The research utilized 456 patient medical record data from RSUD Latemmamala spanning January 2020 to December 2025. Comparative evaluation results show that the Random Forest model achieved an accuracy of 94.57%, Extreme Gradient Boosting reached 95.65%, and the Soft Voting Ensemble model delivered the best performance with an accuracy of 96.74%, precision of 96.97%, recall of 96.88%, and an F1-Score of 96.77%. Furthermore, the Soft Voting Ensemble model successfully achieved a perfect recall score for the Severe Acute Respiratory Infection category, ensuring that no high-risk patients went undetected. In conclusion, the Soft Voting Ensemble model serves as a reliable decision-support tool to assist medical professionals in triaging Acute Respiratory Infection patients quickly, objectively, and accurately.
Co-Authors . Darniati Abdul Rakhim Nanda Ade Irfan Agus, Fauziah Agusalim, Agusalim Ahmad Nur Rahman Ahmad Syafi'i Zulmi Akrar Syah Al Imran, Hamzah Ali, Muhammad Yunus Alizha Nur Arspandy Alvian Syah Burhani Amal, Citra Amalia Amrullah Anas, Andi Bunga Tongeng Andi Bunga Tongeng Anas Andi Makbul Syamsuri ANDI MAWADDA TAIBA MAWADDA TAIBA Andi Rahmat Anis Dandi Juandani Antaria, Sukmasari Arman, Muayyanah Arsyad, Zulfikar Ashabul Kahfi Asnita Virlayani, Asnita Bakti, Rizki Yusliana Berni Satria Gemilang Chyquitha Danuputri Danuputri, Chyquitha Danuputri, Chyquitha Darniati Dayang Aisyah Desi Anggreani Djunur, Lutfi Hair Emil Agus Salim Habi Talib Fachrim Irhamna Rachman Fahrim I. Rahman Fahrim Irhamna Rachman Fahrim Irhamna Rachman Farida Gaffar Fausiah Latief Fauzan Hamdi Fithriyah Arief Wangsa Gaffar, Farida Gemilang, Berni Satria Hamzah Al Imran Hasanuddin, Novianingsih Hasbir, Syahrul Ida Mulyadi, Ida Indriyanti Indriyanti Azis Irma Suryana Irwan Irwan, Muhammad Ahlil Khairi Jihan Izzathul Mujidah Juandani, Anis Dandi Juliandro, Juliandro Karim, Nenny Kasmawati Kato, Muh Alvin Achmad Kusumawardani, Nurul Lantara, Andi Bintang Latief, Fausiah Lisnawati Lisnawati Lukman Lukman Anas LUKMAN ANAS Lukman, Lukman Lutfi Hair Djunur M Agusalim M. Fikri Haikal Ayatullah Ma'rupah, Ma'rupah Mahmud, Rajib Mahmuddin Mahmuddin Mahmuddin Mohamad Munawir Muh Alvin Achmad Kato Muh Ilham Akbar Muhammad Aminuddin, Muhammad Muhammad Asygar Faeruddin Muhammad Faisal Muhammad Hasraddin Hasnan Muhammad Khadafi Muhsin, Muh Arief Muhyiddin A.M Hayat Muhyiddin A.M Hayat Munawir, Mohamad Nenny Nenny Nenny Nenny, Nenny Nini Apriani Rumata Nur Alam Nur Annisa Syarifuddin Nur Rahman, Ahmad Nurdiansah, Nurdiansah Nurdiansyah Nurdiansyah Nurnawaty Nurul Kusumawardani Panguriseng, Darwis Pawara, Ismail Putri, Adriani Rahmasari, St. Rajib Mahmud Risman, Andi Muh. Riswal Karamma Riswal Karamma Rizky Yusliana Bakti Sahril Sandi, Andi Muhammad Sari, Reski Anugrah Sarina Siba, Ikhsan Suhardi, Syahrul Suriani Suriani Swa Lee Lee Syadiah Nor Wan Shamsuddin Syah, Akrar Syahril Akbar Syahrul Hasbir Syahrul Suhardi Syahrul, Syahrulrahman Syamsuri, Andi Maqbul T Karim, Nenny Taufiq, Muh Titik Khawa Abd Rahman Titik Khawa Abdul Rahman Titin Wahyuni Toha Andi Lala Try Gustaf Said Ulil Amri Usman, Sucipto Wa Nanda Sulystrian Wangsa, Fithriyah Arief Wiwin Fuad Sanjaya Zulfikar Arsyad Zulhaidir DJ, Muhammad Zulmi, Ahmad Syafi'i