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Perancangan Aplikasi Android Untuk Pencatatan Dan Riwayat Kegiatan Posyandu Terpadu (Studi Kasus: Posyandu Merpati III) Ajeng Anjani; Iwan Setiawan; Riza Kartina
jurnal kesehatan terapan sains dan teknologi Vol 4 No 2 (2026): Journal Health Applied Science And Technology (JHAST)
Publisher : IKesT Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52523/jhast.v4i2.124

Abstract

Posyandu services are a form of community health effort that requires an accurate, fast, and structured data recording process. However, in many Posyandu, recording is still done manually, leading to problems such as data loss, delayed reporting, and difficulty monitoring the health development of toddlers and adolescents. This study aims to design an Android application for recording and tracking the history of integrated Posyandu activities to help cadres (kader) manage service data, including weighing, measurement, immunization, and other activity records. The application was designed using a system development method and equipped with data input features, digital storage, and automatic report generation. The results of this study are expected to improve the work efficiency of cadres, minimize recording errors, and support more accurate, integrated, and user-friendly community health monitoring at the Posyandu level.
Pengembangan Aplikasi Arsip Digital Berbasis OCR Dan Rule-Based System Eci Wulandari; Iwan Setiawan; Riza Kartina
jurnal kesehatan terapan sains dan teknologi Vol 4 No 2 (2026): Journal Health Applied Science And Technology (JHAST)
Publisher : IKesT Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52523/jhast.v4i2.133

Abstract

The management of correspondence archives in higher education institutions continues to face various challenges, including dependence on physical document storage, limited archival space, and difficulties in information retrieval. These conditions highlight the need for an archival management system capable of supporting document digitalization while facilitating archive classification and retrieval processes. This study develops a digital archive system based on Optical Character Recognition (OCR) and a Rule-Based System for the rectorate unit of Universitas Prabumulih. System development was conducted using the Design Thinking approach, which consists of the empathize, define, ideate, prototype, and test stages to ensure that the proposed solution aligns with user needs. OCR technology was utilized to extract textual information from scanned documents, while the Rule-Based System was implemented to identify and classify archives according to predefined rules. The developed system provides a more structured archival management mechanism through document digitalization, automated classification, and content-based document retrieval. The integration of these technologies enhances the efficiency of incoming and outgoing correspondence management and supports the transformation of archival practices from physical media to digital archives that are more accessible, manageable, and sustainable.
PERANCANGAN MEDIA PEMBELAJARAN BERBASIS ANDROID PADA MATA PELAJARAN KOMPUTER M. Afri Rahman; Iwan Setiawan; Riza Kartina
jurnal kesehatan terapan sains dan teknologi Vol 4 No 2 (2026): Journal Health Applied Science And Technology (JHAST)
Publisher : IKesT Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52523/jhast.v4i2.134

Abstract

This research aims to develop Android-based learning media for computer subjects as a more interactive, accessible, and relevant solution tailored to students' needs in the digital era. The research method employed is a qualitative approach, with data collection techniques consisting of observation, interviews, documentation, and literature studies. The development of this application applies the Design Thinking framework (Empathize, Define, Ideate, Prototype, and Test) by utilizing the Flutter framework, Dart programming language, UML modeling, and interface design through Figma. Furthermore, the system's structural reliability was evaluated using the White Box Testing method. The results show that the Android-based learning media application was successfully developed and integrated with the Firebase Firestore database to manage materials, quizzes, and evaluation results. Testing on 13 main features (including login/logout, material management, automatic score calculation, and PDF generation) achieved a perfect success rate. The implementation of this media is proven to facilitate students in understanding computer materials anytime and anywhere through visual displays, animations, and an interactive interface, thereby significantly increasing students' learning motivation.
Implementasi Prinsip Atomic Habits dan Algoritma Random Forest pada Aplikasi Habit Tracker Windi Yulinda; Iwan Setiawan; Nur Aini Hutagalung
Jurnal Minfo Polgan Vol. 15 No. 3 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i3.16858

Abstract

Mahasiswa sering menghadapi tantangan dalam membangun dan menjaga kebiasaan positif secara konsisten, sehingga diperlukan media yang mendukung proses pemantauan dan evaluasi kebiasaan tersebut. Penelitian ini bertujuan mengembangkan sebuah aplikasi Habit Tracker berbasis Android yang mengintegrasikan prinsip Atomic Habits serta algoritma Random Forest. Pengembangan dilakukan menggunakan metode Agile melalui tahap perencanaan, perancangan, implementasi, pengujian, dan evaluasi. Prinsip Atomic Habits diterapkan pada fitur notifikasi (cue), antarmuka pengguna (craving), pencatatan progres kebiasaan (response), serta sistem poin dan Diamond Badge (reward). Sementara, algoritma Random Forest digunakan untuk menganalisis data aktivitas pengguna dan memprediksi tingkat konsistensi kebiasaan berdasarkan target, progres, pencapaian, streak, dan durasi kebiasaan. Hasilnya menunjukkan aplikasi ini mampu membantu pengguna mencatat, memantau, dan mengevaluasi kebiasaan secara lebih terstruktur. Selain itu, fitur prediksi berbasis Random Forest memberikan informasi tentang tingkat konsistensi pengguna, yang dapat meningkatkan kesadaran dalam membangun kebiasaan positif secara berkelanjutan.