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All Journal Jurnal Teknologi dan Manajemen Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization INTEGER: Journal of Information Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vygotsky: Jurnal Pendidikan Matematika dan Matematika Prosiding Seminar Nasional Multidisiplin IJAIT (International Journal of Applied Information Technology) Inferensi eProceedings of Engineering Asia Information System Journal Nusantara Journal of Computers and its Applications Jurnal Ilmiah Sistem Informasi Almantiq International Journal of Business and Management Technology in Society (IJBMTS)
Mochamad Nizar Palefi Ma’ady
Institut Teknologi Telkom Surabaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : JOIN (Jurnal Online Informatika)

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Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection Setiawan, Yohanes; Al Faroby, Mohammad Hamim Zajuli; Ma’ady, Mochamad Nizar Palefi; Sanjaya, I Made Wisnu Adi; Ramadhani, Cisa Valentino Cahya
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1495

Abstract

In Indonesia, the stunting rate has reached 36%, significantly higher than the World Health Organization's (WHO) standard of 20%. This high prevalence underscores the urgent need for effective early detection methods. Traditional data mining approaches for stunting detection have primarily focused on unimodal data, either tabular or image data alone, limiting the comprehensiveness and accuracy of the detection models. Modality-based modeling, which integrates image and tabular data, can provide a more holistic view and improve detection accuracy. This research aims to analyze modality-based modeling for the early detection of stunting. Two modalities, unimodal and multimodal, are used in this study. The main contributions of this research are the development of a comprehensive framework for modality-based analysis, the application of advanced data preprocessing techniques, and the comparison of various machine learning algorithms to identify the best model for stunting detection. The dataset, comprising images and tabular data, is sourced from Posyandu in Sidoarjo, Indonesia. Image data undergoes preprocessing, including background segmentation and feature extraction using the Gray Level Co-occurrence Matrix (GLCM), while tabular data is processed through categorical encoding. The Synthetic Minority Oversampling Technique (SMOTE) addresses class imbalance, and Principal Component Analysis (PCA) is used for dimensionality reduction. Unimodal modeling uses tabular or image data alone, while multimodal modeling combines both before classification. The study achieves the best F1 scores of 0.96, 0.91, and 0.90 for tabular-only, image-only, and image-tabular modalities, respectively, demonstrating the effectiveness of data balancing and dimensionality reduction techniques.
Co-Authors Achmad Muzakki Ahmad Andrean Syah Kusnuris Aisyah Putri Amni Ramdhanti Alfonsus Antero Arnayusrendito Alifiansyah Arrizqy Hidayat Allan Putra Pratama Andrew, Dennis Michael Anita Hakim Nasution Arip Ramadan Aris Kusumawati Aris Kusumawati Artwodini Muqtadiroh, Feby Azizah, Faradilla Nur Berlian Rahmy Lidiawaty Chandra, Salsabila Ramadhani Chuan-Kai Yang Cornelia Angela Caezaria Denny Nurdiansyah Deyastusesa, Junanda Dharmawan, Farhan Aditya Eka Sari Oktarina Elang Dewa Samudra Everald Anthony Arther Faisal Rizal Rahman Farrel Ardan Firiansyah Febryan, Rayhan Alief Feby Artwodini Muqtadiroh Ginza Maulana Putra Habib Husni Mubarok Mubarok Haryanti, Desyka Widya Hatma Suryotrisongko Ita Aristia Sa'ida Iwan Vanany Kartini, Alif Yuanita Liana, Serli April Maharani Citra Adi Ratna Meilanitasari, Prita Mohammad Hamim Zajuli Al Faroby Mohammad Yanuar Hariyawan Muhammad Ilham Alhari Mutiani, Tia Nafis Difaudin Nisa Isrofi Novitasari, Diah Ayu Pitoyo, Salsabilla Putri Pratama, Arya Yudha Purnama Anaking Purnama Anaking Puspita Rini, Hafida Rahim, Ainatul Fathiyah Abdul Rahmawati Hasan , Dyah Rahul Fahmi Satria Ramadhani, Cisa Valentino Cahya Renny Pradina Kusumawardani Rizal Firmansyah, Muhammad Rizal Rahman, Faisal Rizaldy, Denny Daffa Rizqy Athiyya Nafi’atus Sa’idah Rohmawati, Siti Rokhmatul Insani Rosidah, Nur Azizah Rosyid Abdillah Sanjaya, I Made Wisnu Adi Saputra, Ricky Adam Satria, Rahul Fahmi Serafina, Nauli Khalila Sonaya Devi Anja Amelia Sri Hidayati Sukmawaty, Yuana Surya Huditara , Kevin Tabina Shafa Nabila Syahda Tita Ayu Rospricilia Ully Asfari Utomo, Muchammad Chandra Cahyo Widyaiswari, Rahma Putri Wijayanti, Lulud Yohanes Setiawan Yuliana, Ummi Agustin Zakariya, Naufal