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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Sisfokom (Sistem Informasi dan Komputer) Technologia: Jurnal Ilmiah Jurnal Minfo Polgan (JMP) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Komputer, Informasi dan Teknologi
Andi Christian
Universitas Prabumulih
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Implementation of the Rapid Application Development Approach for the Academic Information System at Muzakkir Islamic Primary School Prabumulih Ardi Ardiansyah; Andi Christian; Nur Aini Hutagalung
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.1496

Abstract

This study stems from the limited application of information technology, which continues to influence various aspects of human life—particularly in the fields of employment, business, and, more specifically, at Muzakkir Islamic Elementary School in Prabumulih, where data management is still handled through conventional methods. Data for this research was collected using a descriptive method with a qualitative approach, employing observation, interviews, and literature review. The design of the academic information system applied the Rapid Application Development (RAD) methodology to assist developers in analyzing and designing the system based on actual needs. The Unified Modeling Language (UML) served as a tool for designing the school’s academic information system, supporting the developers during the process. The developed system was implemented using the Hypertext Preprocessor (PHP) programming language and a MySQL database.
An Ensemble Deep Learning Framework for Early Stunting Detection in Toddlers: Supporting the Free Nutritious Meal Program Suhartini Suhartini; Andi Christian; Iwan Setiawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 3 (2026): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i3.2681

Abstract

Chronic malnutrition known as stunting remains a pressing public health concern in Indonesia, with a national prevalence of 19.8% reported in the 2024 Indonesian Nutrition Status Survey, still well above the 14.2% target set in the 2024–2029 National Medium-Term Development Plan. The Free Nutritious Meal Program (Makan Bergizi Gratis, MBG), launched in January 2025, requires a precise screening mechanism to ensure that nutritional interventions reach the right recipients. The present study is framed as a cross-sectional classification task—rather than a longitudinal predictive model—designed to support point-of-care screening at community health posts. This study proposes an ensemble deep learning framework for early stunting detection that combines three complementary learning paradigms: Random Forest (bagging), XGBoost (gradient boosting), and a Deep Neural Network (DNN). A publicly available Kaggle dataset of 120,999 toddler anthropometric records, in which class labels are likely derived deterministically from the WHO Height-for-Age Z-score (HAZ) formula, was used as the experimental basis. The pipeline included feature engineering grounded in WHO Child Growth Standards, class balancing via SMOTE applied exclusively to the training set, hyperparameter optimization using Optuna, and soft-voting integration of the three base learners. Evaluation was performed on a stratified test set (n=24,200) using accuracy, precision, recall, F1-score, and AUC-ROC, complemented by 10-fold cross-validation and SHAP-based interpretability analysis. The ensemble model achieved 99.84% accuracy, 0.9984 F1-score, and 1.0000 AUC-ROC, exceeding the proposal targets of 88% accuracy and 0.90 AUC-ROC. These near-perfect metrics should be interpreted as evidence that the model has successfully recovered the rule-based labeling structure of the dataset; performance on real-world Posyandu data—where biological variability, measurement error, and unobserved socioeconomic determinants are present—is expected to be lower, and external validation is therefore prioritized as future work. SHAP analysis identified the approximate Height-for-Age Z-score, height, and the height-by-gender interaction as the three most influential features, consistent with WHO anthropometric principles. These findings provide a technical foundation for AI-based screening systems deployable in community health posts and primary care clinics, supporting the effectiveness of the MBG program toward Indonesia Emas 2045.
Rancang Bangun Aplikasi Pencatatan Keuangan Dan Inventory Pada Distributor Puput Community Berbasis Web Andi Christian; Phinton Panglipur; Lingga Satria
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13992

Abstract

Aplikasi pencatatan keuangan dan inventory pada suatu perusahaan sangat diperlukan untuk memudahkan perusahaan dalam melaksanakan proses pencatatan keuangan dan persediaan barang secara terkontrol, sistematis dan saling terhubung. Perusahaan Distributor Puput Community dalam pencatatan keuangan dan pengelolaan inventory belum terkomputerisasi yang di catat pada sebuah buku yang mana proses pencatatan menghabiskan waktu yang cukup lama untuk merekapitulasi laporan keuangan dan persediaan barang. Tujuan dari penelitian ini adalah untuk membangun sebuah aplikasi menggunakan website guna memudahkan pihak Distributor Puput Community dalam pencatatan keuangan dan inventory karena sudah terkomputerisasi dengan baik dan mudah untuk digunakan. Metode penelitian ini menggunakan metode deskiptif kualitatif dengan teknik pengumpulan data berupa observasi, wawancara dan studi pustaka. Metode pengembangan perangkat menggunakan model waterfall . Alat bantu perancangan sistem yang digunakan adalah usecase diagram, class diagram dan activity diagram. Aplikasi ini dibangun menggunakan website dengan bahasa pemograman php dan database Mysql.
Co-Authors Aprinsyah Dika Putra Putra Ardi Ardiansyah Ariansyah Arief Yusaputra Ramadhoni Clara Mariska Mardianto Didi Saputra Hepnyi Samosir Iwan Setiawan Jepri Yandi Khana Wijaya Khana Lingga Satria Mangie Syakila Putri Milia Rastiwi Muchlis Muhammad Wilian Harlangga Myke Lastri Miyanti Myke Nur Aini H Phinton Panglipur Resti Amilia Rishi Suparianto Sahla Fadillah Suhartini Yudha Fratama Zaiyanah Putriyani