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Adi Putra
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Journal : Journal of Computer Science and Research

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Comparative Study of Machine Learning Approaches Based on Artificial Neural Network, Regression, and Clustering for Diabetes Prediction Nauval Alfarizi; Adi Putra; Prima Lydia Yosophin Batubara; Satria Sinurat
Journal of Computer Science and Research (JoCoSiR) Vol. 3 No. 3 (2025): July: Health Science Informatic
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

This study presents a comparative analysis of three machine learning model and algorithms Artificial Neural Network (ANN), Logistic Regression, and K-Means Clustering using the Pima Indians Diabetes dataset. The main objective is to evaluate the performance of supervised and unsupervised methods in predicting diabetes based on physiological and clinical features. he ANN model was developed using a feedforward and backpropagation approach, Logistic Regression applied the fundamental logit equation, and K-Means Clustering was employed as an unsupervised reference. Model performance was assessed using Accuracy, Precision, Recall, and F1-score for supervised models, and Adjusted Rand Index (ARI) for clustering. Experimental results indicate that Logistic Regression achieved the best accuracy of 0.7573, followed by ANN with 0.7078, while K-Means obtained an ARI of 0.1614. The heatmap comparison shows that supervised models outperform unsupervised approaches, with Logistic Regression offering better interpretability and stability, and ANN demonstrating the ability to model nonlinear relationships. K-Means, though less accurate, provided valuable insight into data structure and natural grouping. Overall, the findings confirm that supervised learning models, particularly Logistic Regression and ANN, are more effective for medical prediction tasks. Future research may explore hybrid or ensemble models that combine the interpretability of Logistic Regression, the adaptability of ANN, and the exploratory capability of clustering to enhance medical diagnostic performance.
Co-Authors Abd Haris, Abd Abdi, Hamdani Afifah Aulia Fitri Alfarizi, Nauval Amelia Amri, Mira Amri , Mira Amelia Annisa Dwi Nugraheni Apria , Wilza Ardian, Heri Arief Fath Atiya Arif, Maulana Arita Marini Arya Bintang Prasetyo Asrini Asrini Astriani, Dea dadang, rahmatul Damayanti Firdaus, Efrida Deka Veronica Desy Safitri Dewanti, Andini Dewi ANGGRAENI Diah Ayu Ramadhina Dicky Febri Hadi Dudung Amir Sholeh Efendi, Roni Etik Winarni, Etik Fadilla Zahrah Fauziah, Naila Hairunnisa, Salsa Nurul Harti, Sri Dwi Hasan Basri Irwansyah Irwansyah Islam Madina Januar, Ahmad Juliwis Kardi Jurjani, Jurjani Keluanan, Yane Henderina Linda Zakiah Lydia, Prima Maulidya, Aisyah Mira Amalia Amri Mira Amelia Amri, Mira Amelia Muhammad Amin Muhammad Syahputra Novelan Namang, Kezya Thresia Nauval Alfarizi Nikita Aura Marshanda Nome, Nehemia Noprijon Nurdin Nurdin Nurzengky Ibrahim Okzella , Nadia Pangestu, Yoga Paulus Suhendro Mbette , Petrus Petrus Suhendro Prima Lydia Yosophin Batubara Purwanto, Vivi Devriana Putra, Pristian Hadi Putri Sugiharto, Anggie Putri, Kansa Aura Rahayu Ningsih, Sri Rahmawati, Sisca Raihan, Regghina Nasywa Ramadani , Laili Resty Kasmitha Revadila, Siti Nurani Rina Wulandari Rizky Hidayat Rumawak, Sarah Agustina Sahari, Gunar Sahputra, Rilawadi Salim, Salsabila Nuramalia Sari Dewi, Lizabeth Sari, Yolanda Satria Sinurat Selan, Yunus Shoalihin Shoalihin Silalahi, Dian Hardian Sinurat, Satria Soleh, Dudung Amir Sri Nuraini Suhendro, Petrus Suhendro, Petrus Paulus Mbette Suherman, Suherman Sujarwo Sunandar Sunandar Taufik Hidayat Usman, Herlina Uswatun Hasanah Utami, Adinda Desty Dian Yudi Darmawan Yuliati, Siti Rohmi Yunicha Harly, Aulia Zebua, Marta Novianti Zulhendra, Riko Zuliah, Azmiati