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All Journal Jurnal E-Komtek Jurnal Sains dan Teknologi
Anisa Lutfiyani
Universitas Ma'arif Nahdlatul Ulama Kebumen
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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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.
Implementasi Sistem E-Commerce Berbasis Web dengan RajaOngkir dan Midtrans untuk Penjualan Batu Akik di Desa Tunjungmuli Andi Badrun; Anisa Lutfiyani
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3221

Abstract

The advancement of internet technology has transformed global business through e-commerce. For agate gemstone craft MSMEs in Tunjungmuli Village, whose products possess high economic value due to their aesthetic appeal and rarity, adopting an information system is a strategic way to expand market reach. However, reliance on conventional marketing methods has limited sales growth and market accessibility. This Research and Development (R&D) study employed the ADDIE model to develop an e-commerce system integrated with product information, automatic shipping cost calculation through the RajaOngkir API, and the Midtrans payment gateway, while also evaluating its feasibility. The results show that the e-commerce platform was successfully developed. Evaluation using the Black Box Testing method yielded a system functionality score of 84.6%, which falls within the 81%–100% range and is categorized as Highly Feasible. The findings indicate that minor input-related issues do not affect transaction stability, making the system suitable for optimizing sales among agate gemstone artisans in Tunjungmuli Village.
Co-Authors Andi Badrun endang wahyuningsih Fahmi Fachri Fersellia Fersellia