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Model Hibrida PCA-MLP dan Optimasi untuk Klasifikasi Status Gizi Balita Berbasis Fitur Antropometri: Studi Kasus Kelurahan Tamarunang, Sulawesi Selatan Tenri Batari, Andi Firqatun Najiah; Anggreani, Desi; Lukman
Jurnal Teknologi Informasi dan Ilmu Komputer Vol. 13 No. 4: Agustus 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.134

Abstract

Stunting merupakan masalah gizi kronis yang berdampak jangka panjang terhadap kualitas kesehatan dan perkembangan anak, sehingga diperlukan pendekatan deteksi dini yang akurat dan berbasis data. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi model machine learning dalam mengklasifikasikan status gizi balita berdasarkan data antropometri. Dataset yang digunakan terdiri atas 638 balita dari Kelurahan Tamarunang, Sulawesi Selatan, dengan enam variabel prediktor antropometri yaitu berat badan lahir, tinggi badan lahir, usia saat ukur berat, tinggi dan LiLA. Metodologi penelitian meliputi seleksi fitur menggunakan Mutual Information (MI), penyeimbangan data menggunakan Synthetic Minority Over-sampling Technique (SMOTE), serta pemodelan menggunakan Multilayer Perceptron (MLP), Random Forest, dan model hibrida Principal Component Analysis–Multilayer Perceptron (PCA-MLP). Hasil analisis MI menunjukkan bahwa berat badan (MI = 0,053) dan tinggi badan (MI = 0,038) saat pengukuran merupakan fitur paling informatif. Evaluasi komparatif menunjukkan bahwa model hibrida PCA-MLP mencapai kinerja terbaik dengan akurasi 93,70% dan F1-Score (Macro) sebesar 0,551. Meskipun demikian, analisis per kelas mengungkapkan bahwa deteksi kelas minoritas masih menjadi tantangan akibat ketidakseimbangan data. Oleh karena itu, model yang diusulkan berpotensi digunakan sebagai alat pendukung keputusan untuk skrining awal status gizi, namun tidak dimaksudkan sebagai pengganti penilaian klinis oleh tenaga kesehatan.   Abstract Stunting is a chronic nutritional problem that hinders children's development and requires an accurate early detection system. This study aims to develop and evaluate a high-performing machine learning model for classifying the nutritional status of under-five children. The research utilized data from 638 children in Tamarunang Village, Gowa Regency, incorporating six anthropometric predictor variables. The proposed methodology includes feature selection using Mutual Information (MI), data balancing with Synthetic Minority Over-sampling Technique (SMOTE), and modeling using three architectures: Multilayer Perceptron (MLP), Random Forest, and a hybrid Principal Component Analysis-Multilayer Perceptron (PCA-MLP) model. MI analysis results indicate that Body Weight (MI=0.053) and Height (MI=0.038) at measurement exhibit the highest statistical relevance. In comparative evaluation, the Hybrid PCA-MLP model demonstrated the most superior performance with an accuracy of 93.70% and an F1-Score (Macro) of 0.551, outperforming Random Forest (0.416) and MLP (0.320). Visualization via t-SNE and per-class metrics confirmed that minority class classification remains a primary challenge due to data imbalance. This research affirms that a hybrid approach combined with appropriate feature selection holds significant potential as a decision support tool for malnutrition screening.
Co-Authors A. Alifiya Tenriesa A.A. Ketut Agung Cahyawan W Abd Karim Hadi Abdul Rahim Achmad Tarmidzi Anas Ade S. Anhar Agus Sugianto Ahken Kelvin Sampe Angin Ahmad Fauzi Saifuddin Ahmad Ridfah Ainul Mardiana Aji Prasetyo Aldetia Farendi Alfiani, Ananda Aliya Farsya Aliya Farsya Amelia Defrianti Putri Amrah Kasim Ana Mardiana Andi Nadila Putri Faisah Andi Nasrawati Hamid Andi Nasrawaty Hamid Andi Nilwana Andi Nurahmy M Andi Salsabila Andi Widjannah Afdhal Andini Fairuz Alifah Anthony Holly Apriani, Fitria Ariansyah Ariel Syahputra Tandi Pasang Arifin, Muh. Indra Ariyani, Etika Arthur C Bida Aryati As'ad, Khaira Ummah Febrian Asad, Muh.Arisal Asbah Asdar, Muhammad Dasril Asri Ainun Astinah, Andi Auditya, Muhammad Raihan Ayang Armelita Rosalia Ayuningrum, Uci Azzahra Rahmatan Anwar BADRUS SOFI Badrut Ali Bakti, Rizki Yusliana Bangun, Yakobus K. Bau Ratu Bella Putri Amelia Dadang Juandi Dalle, Asriah Daromes , Fransiskus E. Desi Anggreani Edi Edison Edison Emigawaty Eneng Isti Alpiyanti Erfina Erma Suryani Sahabuddin Erna Erwin Akhmad Zainul Eva Wardah Fadillah, Ardana Fadlillah Faradillah Siahaan, Yanty Fauzi Ahmad Muda Fawwaz Sakhi Faturrahman Fiatur Rocmah Firman Nugraha Putra Firmansyah, Ary Firzhal Arzhi Jiwantara Fitriah Gita Maharani Hasanuddin Gunaedy Utomo Hapzi Ali Hasan Hasjim, Munira Herwandi Sape Hidaya Hijril Ismail, Hijril Hilwa Anwar Holly, Anthony Hulfian, Lalu Ihwan Ika Citra Pratiwi Ika Nur Jayanti Ika Zaskia Indarwati Indradewa, Rhian Inriati Lewa Insarullah, Insarullah Irma Andrianti Irna Ningsi Amalia Rachmna Ismail Jamal, Jusnita Jarnawi Afgani Dahlan Jasin, Hamida A. Julia Julianti Julkariadi, Muhammad Jumriani Juraid Abdul Latief Jusu, La Kaharuddin Kasim, Chelsea Kasmawati Khaerul Ihsan Lamanda Lintang Lestari Leris Pasuang Lesmana Prawira Kusumah LILIS DWI FARIDA Limbunan, Excel Lukita, Merlin LUKMAN ANAS M. Samsul Arifin Maharani M Pamarung Mahfud M Gamar Manipi, Ilham Mardan Mardiana, Ana Marlina Marselinus Asri Maulani, Armi Maulidin Mega Fatimah Rosana Melany Mustika Dewi Miftahul Ulum Mila Karmila Mila Tamrin Misnah Misnah Moh.Rizky Mohammadong Mubarokhah, Lailatul Muchlis, Khaerunnisa Muh. Darwis Muhammad Albahi Muhammad Ikbal Muhammad Irham Muhyiddin A.M Hayat Mukhlisul Muzahid Multazam Dwi Parista Muna, Rochmatul Munawarah Musfirah MUSLIMIN Nady Febri Ariffiando Nasution, Romadon Natriani Syam Natriani Syam, Natriani Nur Akmal Nur Hidayat Nurdin Nurabdillah, Baeti Nurdin Nurna Ningsih Nurna Ningsih Nursakinah, Jysa Nuruddin Kafy El-Ridlo Nurul Hafipa Majid Nurul Hidayah Ilyas Nurul Ilmi Musfa Nurul Istiqamah Nurul Safitri Nusrotul Bariyah Olyvia Prameswari Paulus Tangke Prima Abdiguna, Aidhil Pudak Wangi, Sekar Putri Awdiani, Dhea Rachman, Irna Ningsi Amalia Rachmasari Pramita Wardhani Rafeyfa Asyla Arianti RAHAYU, CANDRA Rahmadani, Sukri Rahmadania, Cahya Rahmatia Rahmawati Syam Rahmawati, Ismatu Randitha Missouri Rasni Rezky Gunawan Rifvo Putra Herlambang Ririn Rismayanti Rita Setiani Ritha Tuken Rizka Amalia Robert Jao Rotamaro, Sahnan Rozi Andrini Saba Pasinggi, Yonathan Safira, Meylia Safira, Safra Safitri, Marcelina Via Hanadya Salahudin Salahudin Saleh, Firman Salma Coni Salman, Nola Fibriyanti Bte Salsabila Sam Hermansyah Sambara, Piether Magi Sanjaya, Erie Saparingga M. Zaini Sapri Sapri Sapri Saputri, Annisa Sayuti Malik Selang, Kamaruddin Sellang, Kamaruddin Selvia Sarungu Sepryanto Fernandus D Septina Rana Aqillah Setia Budi Setiawan, Rico Siti Fatimah Abdul Latif Siti Hasanah Siti Norhidayah Sopiyan, Wawan Sri Jamilah Sukma Sulardi . SULASTRI Supriadi SUPRIATIN Sutoyo Suwandi Ng Syafira Anggraini Syafruddin Syarifoeddin, Elya Wibawa Syobri, Nazalus Tenri Batari, Andi Firqatun Najiah Tiassari Janjang Suminar Titin Wahyuni Tjiang Y. Suryady, Ardi Tufailah, Nabila Uceng, Andi Umar, Indah Inriani Usman Usman M Utina, Toni Wahyu, Reski Wartoyo Wartoyo Wawan Krismanto Widiyanti Kurnianingsih Widya Putri. H Widya Wahyuningsi Windayanti Y. Abbas, Nurfadillah Yelandari Liling Yoggi Dwi Saputra Yonathan S Pasinggi Yuli Yuli Astuti yulia Zaifuddin Zainal, Zaid Zumhur Alamin