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Journal : TEKNIK INFORMATIKA

Comparing K-Prototypes and K-Medoids with Catboost for Health Profile Clustering of Pesantren Students Moch. Aghisna Hadzikunnuha; Harits Ar Rosyid; Arifin, M. Zainal
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.49369

Abstract

Health screening in pesantren is challenging due to communal living conditions, limited health facilities, and the need for early identification of vulnerable student groups. This study compares the performance of K-Prototypes and K-Medoids clustering for grouping student health profiles and evaluates the use of cluster labels as additional features in a CatBoost classification model. The dataset consists of 1,464 new students from Queen Al Falah Islamic Boarding School in the 2025/2026 academic year, collected through the admission system and analyzed after preprocessing. Clustering is performed using K-Prototypes and K-Medoids with three clusters to support interpretability of nutritional and health profiles. Although two clusters yield higher silhouette values, three clusters provide more meaningful distinctions for practical screening. Classification experiments use CatBoost with an 80:20 stratified train-test split, comparing baseline models and hybrid models that integrate cross-algorithm cluster features. The results show an asymmetric pattern. Adding K-Prototypes features improves K-Medoids target accuracy from 99.66 percent to 100 percent, while adding K-Medoids features slightly decreases K-Prototypes target accuracy from 98.98 percent to 98.63 percent. McNemar test results indicate that these differences are not statistically significant. Overall, the proposed framework supports reliable and interpretable health profile clustering for pesantren student monitoring.
Co-Authors AGUS WIDODO Agustina Ahmad, Fathul Luthfillah Akbar, M. Baihaqi Akmal Wildan, Diki Al-amri, Thol'atul Luthfi Aldinosa, Yogi Aldri Frinaldi Anjarsari, Delvi Dwi Annisa' Bias Cahyanurani Anugrah, Rifki Ardiansah, Rahmad Ivan Asep Akmal Aonullah Asy`ari, Hasyim Awaludin, Muhamad Taufik Aziz Q, Ikhwan Bawazir, Ach. Faizal Maulana Cakir, Gulsun Kurubacak Daryati Dedi Setiawan Didit Ardianto Dwi Hastuti Edy, Moch. Heri Eka Sri Utami, Eka Sri Gani, Resyi A Gomez, Aurelio Jr, S. Halim, Atika Marisa Harijon, Teguh Harijono, Teguh Harits Ar Rosyid Hasyim, Umar Alfaruq A. iim rohimah, iim IM. Hambali Indrajati, Yvonne Jaenullah, Jaenullah Kuswandi Ma'arif, Muhammad Alfian Mahanani, Christina Lestari Retno Maskuri Maulana, M. Fikri Meidy, Ria Devita Meidy, Ria Devita Moch. Aghisna Hadzikunnuha Muhammad Hadad MUHAMMAD YUSUF Muslihati Nasuki, Nasuki Nazran, Nazran Ningrum, Gres Dyah Kusuma Nugroho, Azis Luki Oktarina, Riesta Ayu Pramudita, Tatya Hanum Prasenja, Adefta Primasari, Kartika Putri Yusup, Muthia Khairunnisa Qoni’ah, Umi Rahmayanti, Ririn Ranti, Ranti Ritonga, Lusiana BR Rizky, Putri Nurhanida S, Deddy Sofyan Sabri, Farhana Saputra, Andika Ari Satriyatma, Avo Setiyawati, Ayu Siti Kulsum Soedjoko, Dodi Kusuma Hadi Sofyan S, Deddy Sukmansa, Elly Suningsih, Siti Suprakto, Bambang Susi, Neneng Kania Syaad Patmanthara Tiawanti, Tiawanti TUSTIYANA WINDIYANI Umar Alfaruq A. Hasyim, Umar Alfaruq Ummah, Nafisatul Wahid, Abdullah Khairul Waskito, Panky Widyawati, Intan Wahyu Yani , Indri Yulandhini, Yolla Yusuf Sobri, Ahmad Yusuf, M. Baharuddin