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Deteksi Hewan Secara Real-Time Menggunakan Algoritma You Only Look Once (YOLO) Fersellia Fersellia; Anisa Lutfiyani; Fahmi Fachri; Endang Wahyuningsih
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 1 (2026): Februari 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i1.7592

Abstract

Forest areas in Indonesia are very vital and are the lungs of the world. The government and forest police need assistance in tackling forest fires and animal rescue, especially system assistance that can be used in real-time so that rescue and first aid can be carried out immediately. This is what moves the research team to conduct research in making a prototype of a real-time animal detection system. The goal to be achieved is to help forest police, SAR teams and teams from local governments to detect animals in forest areas in real-time. This research is quantitative research using experimental methods. The subject of our research is the image images that we get in real time from the webcam, especially animal images. Data was collected using the help of a webcam installed in the forest area. Image and video processing is done using the You Look Only Once (YOLO) and Convolutional Neural Network (CNN) algorithms. This study obtained 82% accuracy, 86.11% precision and 82% recall. The camera angle shooting from the front gets 100% accuracy.
Pengembangan Sistem Informasi Pendaftaran Santri Baru Berbasis Website Menggunakan Metode Addie Studi Kasus : Pondok Pesantren Sandar Madinatul Athfal Petanahan Kebumen Siti Nurhidayah; Endang Wahyuningsih
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 4 (2025): Agustus 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i4.5520

Abstract

Technological developments have updated the way to access information, including in the Islamic boarding school environment. The Sandar Madinatul Athfal Islamic Boarding School in Kebumen, which has been using a manual student registration system, faces various obstacles such as inefficiency, recording errors, and lack of online information. To overcome this, a student registration information system website was developed. The research was conducted from September 2024 to January 2025.”The data was obtained based on the results of observations at the Sandar Madinatul Athfal Petanahan Islamic Boarding School, Kebumen, interviews with students who manage the administration of the boarding school, literature studies, and also the results of filling out questionnaires. The method to develop the system is ADDIE which is a sequential stage from Analysis, Design, Development, and Implementation to Evaluation. Evaluation is done through functional testing (BlackBox Testing) and filling out questionnaires to 10 users, with an average score of 35.3 which was included in the "good" category. The results of the implementation showed that the system ran well and could simplify the registration process, increase efficiency, and can be a model for other Islamic boarding schools in the application of technology.”