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All Journal Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Teknologi
Aulia, Rosaura
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering Social Sciences

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Klasifikasi Mata Katarak dan Mata Normal Menggunakan Algoritma Dasar Convolutional Neural Network (CNN) Swengky, Better; Wathan, M Hizbul; Irawan, Indra; Aulia, Rosaura
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 3 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i3.2758

Abstract

Eye diseases encompass a wide range of conditions, from mild visual impairments to complete blindness, with cataracts being one of the leading causes. Despite advances in medical imaging, automated classification of cataract versus normal eye images remains a challenging task. This study proposes a classification method using a Convolutional Neural Network (CNN) to distinguish between cataract-affected eyes and normal eyes accurately. The approach involves collecting and preprocessing a labeled dataset, extracting features such as color and vein patterns (including average RGB values), and training the CNN model with optimized parameters. Experimental results demonstrate that the proposed model achieves a high classification accuracy of 95.1%. These findings indicate that CNN-based image classification is a promising tool for supporting automated cataract detection and early diagnosis
Rancang Bangun Sistem Monitoring Kesehatan Balita Berbasis Aplikasi Mobile pada Posyandu Sripemandang Aulia, Rosaura; Fujiyanti, Linda; Swengky, Better
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8367

Abstract

The rapid advancement of information technology has significantly impacted various sectors, including healthcare. One of the community health services that requires digital innovation is Posyandu, which plays a vital role in monitoring the growth and development of toddlers. The manual data recording process often causes problems such as data loss and delayed information delivery. This research aims to design and develop a mobile-based information system for Posyandu to simplify the process of recording, managing, and monitoring toddler health data in an integrated manner. The development method used is the Prototyping Method, which allows iterative system development based on user requirements. Data were collected through interviews and direct observations at Posyandu Sripemandang to identify user needs, followed by system design using UML diagrams (Use Case, Activity, Sequence, and Class Diagrams). The implemented system includes main features such as child registration, digital medical records, growth charts, Posyandu schedules, and health information updates. System testing was conducted using User Acceptance Testing (UAT) and Blackbox Testing methods to evaluate functionality and user satisfaction. The test results show an index value of 85.48%, indicating that the system is highly feasible and that all features function as intended. Overall, the system effectively improves efficiency, accuracy, and accessibility of toddler health data management for midwives, Posyandu cadres, and parents in Posyandu Sripemandang.
Co-Authors Better Swengky FUJIYANTI, LINDA Indra Irawan Swengky, Better Wathan, M.Hizbul