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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Masyarakat Informatika FIKI 2013 Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Pseudocode International Journal of Advances in Intelligent Informatics Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Moneter : Jurnal Keuangan dan Perbankan Community: Jurnal Pengabdian Pada Masyarakat
Ika Novita Dewi
Universitas Dian Nuswantoro
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Optimasi Algoritma Decision Tree Menggunakan GridSearchCV untuk Klasifikasi Tipe Obesitas Laurent, Feby; Winarno, Sri; Dewi, Ika Novita
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8638

Abstract

The rise in obesity cases in various countries, including Indonesia, has become a serious public health problem because it increases the risk of chronic diseases and affects individuals' psychological aspects. One of the main challenges in obesity management is the differences in obesity types in each individual, which are influenced by various factors. Therefore, accurate classification methods are needed to ensure more targeted treatment. In this context, machine learning-based technology is a potential solution for classifying obesity types. However, variations in individual characteristics make the classification process complex, as models often struggle to accurately distinguish obesity types. To overcome this problem, the Decision Tree algorithm was chosen because of its easy-to-interpret results. However, using Decision Tree with default parameters on datasets with many attributes and high variation tends to cause overfitting and decrease accuracy. Furthermore, Decision Tree performance is highly dependent on hyperparameter settings, requiring optimization techniques to achieve optimal results. Based on this, this study aims to optimize the Decision Tree algorithm using GridSearchCV to obtain the most optimal parameters to improve model performance in obesity type classification. The dataset used is from the UCI Machine Learning Repository, consisting of 2,111 rows of data and 17 attributes. Based on the initial test results, the default model achieved 92.58% accuracy, 92.58% recall, 92.66% precision, and 92.56% F1-score. After optimization, the accuracy increased to 95.69%, 95.69% recall, 95.72% precision, and 95.67% F1-score. The 3.1% increase in accuracy demonstrates the effectiveness of GridSearchCV in improving Decision Tree performance, resulting in a more accurate and stable prediction model. This research is expected to contribute as a basis for decision-making in early detection and prevention and treatment of obesity more efficiently and effectively.
Co-Authors Abas Setiawan Abdul Syukur Abdul Syukur Abu Salam Adhitya Nugraha Adriani, Mira Riezky Agung Priyo Utomo, Rino Agustin, Kristina Alzami, Farrikh Ardytha Luthfiarta Arifin, Muhammad Farhan Arry Maulana Syarif, Arry Maulana Arunia, Aurelya Prameswari Asih Rohmani, Asih Atha Rohmatullah, Fawwaz Ayuningsih, Dewi Putri Azhari Azhari Bramantyo, Satrio Bisma Candra Irawan Catur Supriyanto Darnell Ignasius Diana Aqmala Dwi Puji Prabowo, Dwi Puji Dzaki, Azmi Abiyyu Egia Rosi Subhiyakto, Egia Rosi Erika Devi Udayanti Erwin Yudi Hidayat Erwin Yudi Hidayat Fahri Firdausillah Fajar Agung Nugroho Fitriyani, Shelomita Hafiizhudin, Lutfi Azis Handayani, Sri Haresta, Alif Agsakli Hasan Asari Heribertus Himawan Ifan Rizqa Indrayani, Heni Irawan, Enrico Irvan Muzakkir Irvan Muzakkir Isworo, Slamet Junta Zeniarja Khafiizh Hastuti Khariroh, Shofiyatul Kurniawan, Defri Laurent, Feby Lisa Mardiana Marjuni, Aris Megantara, Rama Aria Muljono Muljono Mumtaz, Najma Amira MY. Teguh Sulistyono Norman, Maria Bernadette Chayeenee Octaviani, Dhita Aulia Priyo Utomo, Rino Agung Puri Sulistiyawati Pusung, Elvanro Marthen Ramadhan Rakhmat Sani Reza, Ivan Muhammad Rhyan David Levandra Ricardus Anggi Pramunendar Rifamuthia, Titis Ritzkal, Ritzkal Safira, Almira Zuhrotus Salsabilla, Annisa Ratna Saputra, Filmada Ocky Sholikun, Sholikun Sindhu Rakasiwi Sri Winarno Subowo, Moh Hadi Sulistyono, Teguh Suyatno, Revalina Syarifah, Ulima Muna Utomo, Danang Wahyu Wellia Shinta Sari Wibowo, Isro' Rizky Yanuaresta, Dianna Zainal Arifin Hasibuan