Yani Prihati
AKI university

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Rancang Bangun Sistem Informasi E-Arsip Berbasis Web Menggunakan Subject Filing System Pada DINNAKERIND Demak Evi Yuli Yanti; Yani Prihati; Satrio Agung Prakoso
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 3 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i3.10375

Abstract

This research aims to design a web-based e-archive information system using the subject-filing system method at DINNAKERIND Demak. The subject filing system method was chosen because of its ability to organize documents based on certain subjects or topics, facilitating more efficient access and search for archives. The research results are expected to provide insight into the effectiveness of web-based e-archive information systems with the application of the subject filing system in improving archive management in the DINNAKERIND Demak environment and using SDLC waterfall as the development method. The system created was also tested using black box testing and usability testing by 22 respondents, resulting in an overall score of 86.8%. With this system, it is hoped that it can help archive processing at DINNAKERIND, Demak district.
Implementasi Algoritma Yolo V5 Dalam Rancangan Aplikasi Pendeteksi Plat Nomor Kendaraan Bagus Prasetyo Nugroho; Yani Prihati; Sinta Tridian Galih
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 3 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i3.10376

Abstract

Penelitian ini membahas tentang implementasi algoritma YOLO v5 dalam rancangan aplikasi pendeteksi plat nomor kendaraan. Algoritma YOLO v5 dipilih karena kemampuannya dalam mendeteksi objek dengan cepat dan akurat. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi yang dapat mendeteksi plat nomor kendaraan secara real-time menggunakan teknologi YOLO v5. Metode yang digunakan meliputi beberapa tahap, yaitu building dataset, training dataset, modeling, dan pembuatan interface aplikasi. Dataset berupa 1050 gambar, training dataset menggunakan 70% data train, 20% data test, dan 10% data valid, diperoleh akurasi sebesar 84%, presisi 92,9%, dan skor F1 sebesar 80%. Modeling menggunakan algoritma YOLOv5. Pembuatan interface aplikasi menggunakan Python Flask.