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All Journal International Conference on Law, Business and Governance (ICon-LBG) Jurnal Cita Hukum MODELING: Jurnal Program Studi PGMI Jurnal Sains dan Informatika JURTEKSI Murobbi: Jurnal Ilmu Pendidikan JOISIE (Journal Of Information Systems And Informatics Engineering) International Journal for Educational and Vocational Studies Journal of Information Systems and Informatics alfazuna: Jurnal Pembelajaran Bahasa Arab dan Kebahasaaraban JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Khatulistiwa: Jurnal Ilmu Pendidikan Administrative and Environmental Law Review Muhammadiyah Law Review Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Al-MIKRAJ: Jurnal studi Islam dan Humaniora Indonesian Journal Computer Science (ijcs) Jurnal Pengabdian West Science ABDIMASY: Jurnal Pengabdian Kepada Masyarakat Jurnal ilmiah teknologi informasi Asia Jurnal PETISI (Pendidikan Teknologi Informasi) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Media for Empowerment, Mobilization, and Innovation in Research & Community
Fathoni Fathoni
Unknown Affiliation
Religion Aerospace Engineering Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
Machine Learning Models for Metabolic Syndrome Identification with Explainable AI Asoka, Egga; Fathoni, Fathoni; Primanita, Anggina; Isa, Indra Griha Tofik
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4430

Abstract

Metabolic syndrome (MetS) is a cluster of interrelated risk factors, including hypertension, dyslipidemia, central obesity, and insulin resistance, significantly increasing the likelihood of cardiovascular diseases and type 2 diabetes. Early identification of hypertension, a key component of MetS, is essential for timely intervention and effective disease management. This research aims to develop a hybrid machine learning model that integrates XGBoost classification with K-Means clustering to enhance or strengthening of hypertension prediction and identify distinct patient subgroups based on metabolic risk factors. The dataset consists of 1,878 patient records with metabolic parameters such as systolic and diastolic blood pressure, fasting glucose, cholesterol levels, and anthropometric measurements. Model performance was assessed using accuracy, precision, recall, F1-score, and ROC-AUC. The proposed XGBoost model achieved an outstanding classification performance with 98% accuracy, 98% precision, 98% recall, 98% F1-score, and an ROC-AUC of 1.00. K-Means clustering further identified five distinct patient subgroups with varying metabolic risk profiles. The findings underscore the potential of machine learning-driven decision support systems in improving hypertension diagnosis and MetS management.
Co-Authors Abdillah Putra, Muhafsyah Acta, Muhammad Fakhri Nadrota Adeliani, Adeliani Aderiyana, Fakih Rangga Akbar Adiprama, Faris Akbar Kurniawan, Iqbal Akbar, Rifko Akrom, Muhammad Adib Al Mas Ud, Khalid Albani, Muhammad Syarief Albukhori, M Rafli Alfarizi Ramadiansyah, Muhammad Alghifari, Muhammad Ali Ibrahim Alifayoezra, Muhammad Dzaky Amanda Ardhani, Dhita Amelia Amelia Amelia Putri, Shinta Andini Bahri, Cheisya Angelina Tompunu, Keisha Anindya Putri, Salsa Apriansyah Putra Aqil Zidane, Muhammad Arba'i, Sultan Ardhillah, Onky Ari Wedhasmara Arinie, Putri Mutiara Asyiq, Abdulloh Athallah, Deni Attika Putri, Shopi Aulia Karima, Dzakiah Aulia, Cantika Auliya, Lana Nur Ayuningtiyas, Pratiwi Azmi Zaky, Muhammad Baidhawi, Alif Basulina, Nur Annisa Cahya Aulia, Syifa Cha Kirana, Cha Clark Peter Wijaya, Adley Davinka Sembiring Depari, Alrayssa Dedy Kurniawan Demetria, Putri Diva Putri Munaspin, Zahra Dwiyansyah, Octa Egga Asoka Eka Saputra Endang Lestari Ruskan Fachrozi, Muhammad Al Fachry Abda El Rahman Fahmi Akbar, Fahmi Fahmi Aulia Hakim, Adzka Faiq, Al Ikhsan Faradhisa Ansori, Audia Fatihaturrahmah, Aisyah Fauzi, Muhamad Rizal Febriansyah, Dian Firman Muntaqo Gurruh Dwi Septano Gustiani, Sindy Hadipurnawan Satria Haidar Afif Mufid, Muhammad Hanggara, Bryan Hariza Marshella, Siti Hendrawan, Deni Agus Heni Siswanto Hikmahwarani, Fellycia Huda, Hisbullah Ikbal Ikbal Ikhwan Najatafani, Bintang Isa, Indra Griha Tofik Ispahan, Tarisha Istiqomah, Amalia Windy Jodi Pratama, Muhammad Khailani, Kgs M Luthfi Khoiriyah Harahap, Dayana Kusuma, Aisha Nuraini Lifiano Jamot Munthe, Gabriel Lucky Hermanto, Muhammad M Baihaqi Maharani Maharani, Maharani Manahan, Nico Sabar Maretta, Aulia Pinkan Maroni Maroni Masrury, Farhan Maulana, Rahmat Merisca Titiana, Nuke Muarif, Moh. Syamsul Muhammad Akib Muhammad Kurniawan, Hafiz Nabilatulrahmah, Raihana Nachwa, Syakillah Nailah Ramadhani, Indira Najwa Widasari, Yesya Nashiroh Ramadhani, Muthia Naufaldihanif, Rihan Nissa Oktariana, Choirun NIZAR, MOHAMMAD Nugraha, Allan Prasetia, Dika Prasetia Pratama, Muhammad Ramadhan Putra Primanita, Anggina Putri Casanova, Musdalifa Putri, Salsanabila Mariestiara Putri, Septhia Charenda Rachmad, Muhammad Ichsan Farrel Rafli Maulana, Muhammad Rahman, Muhammad Fadhil Rahmi Anissa, Cahya Raihana Putri, Naila Ramadhan, Fitrah Ramadhani Maulizidan, Muammar Riansyah, M Bintang Naufal Rielisa Putri, Adetya Rika Septiana Risyahputri, Aliyananda Rizka Mumtaz, Fadia Rizki, Raditya Dafa Rizkyllah, Anabel Fiorenza Robani, Muhammad Tsabita Rositiani, Ely Sabila, Amalia Saimi, Saimi Salsa Kinanty, Reina Sasmita, Ruth Mei Setia, Arvhi Randita Shifa Maharani, Wardah Sinaga, Moh Rizky Siti Khabibah Siti Maghfirotun Amin Sofuan Jauhari Sony Oktapriandi Sriwijaya, Sayid Bahri Suci Amalia Suci Fitriani, Suci Syahputra Zaki, Imam Syahputra, M Fathan Aqilah Tammam, Bimmo Fathin Theresia Pardede, Eva Theressa Hasioani Sianturi, Claudia Therina Lakeisyah, Eka Tri Alfandy, Muhammad Tri Zafira, Zahra Tsabitah, Laila Waton, Muhammad Nasrul Wilantara, Muhammad Pandu Wirnanti, Rintan Yadi Utama Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Zahran Afif, Muhammad