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All Journal Jurnal Nasional Ilmu Komputer Transformasi
Nuranisa, Angelita Nova
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Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics

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Implementasi Teknologi Pengenalan Wajah Untuk Login Website Chic Glasses Berbasis Convolutional Neural Network(CNN) Yunita, Farida; Irwanto, Irwanto; Winanto, Andri; Nuranisa, Angelita Nova; Nurhayati, Setia; Araffi, Dimas Ilham
Jurnal Nasional Ilmu Komputer Vol. 5 No. 3 (2024): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v5i3.1936

Abstract

The research discussed the development of a face recognition technology for the login system of an e-commerce website. The study's main focus was enhancing the security and efficiency of online transactions through the use of biometric identification systems. The researchers implemented a Face Recognition Login Website using a CNN, known for its ability to extract features and classify faces effectively. The research involved various stages, such as data collection through a web camera, data pre-processing, and the design of a CNN architecture with feature learning and classification layers. By deploying this CNN-based facial recognition technology on e-commerce websites, the researchers expect to add an extra layer of security, boost user trust, and offer a safer and more convenient online transaction experience.
PEMANFAATAN WEBGIS UNTUK IDENTIFIKASI KESIAPAN FASILITAS KESEHATAN PADA WILAYAH BERPOTENSI BANJIR DI KABUPATEN MAGELANG Mahasinul Akhlak, Muhammad Lutfi; Winanto, Andri; Nurhayati, Setia; Nuranisa, Angelita Nova
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.417

Abstract

Magelang Regency is one of the areas in Indonesia that has a high potential for flooding due to its geographical and hydrological conditions. This study aims to utilize WebGIS technology in identifying the readiness of health facilities in areas with potential for flooding in Magelang Regency. WebGIS results can display an administrative map of Magelang Regency, display a map of the distribution of health facilities, display a flood map and analysis of the identification of the readiness of health facilities in Magelang Regency. This website is expected to provide accurate and informative information as a basis for decision making in flood disaster mitigation planning. Based on the calculation of User Acceptance Testing (UAT), users produced a value of 88.8% of a total of 100%. Based on these results, users stated that they "strongly agree" with the system that was built that meets the user friendly criteria.
PEMANFAATAN WEBGIS UNTUK IDENTIFIKASI KESIAPAN FASILITAS KESEHATAN PADA WILAYAH BERPOTENSI BANJIR DI KABUPATEN MAGELANG Mahasinul Akhlak, Muhammad Lutfi; Winanto, Andri; Nurhayati, Setia; Nuranisa, Angelita Nova
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.417

Abstract

Magelang Regency is one of the areas in Indonesia that has a high potential for flooding due to its geographical and hydrological conditions. This study aims to utilize WebGIS technology in identifying the readiness of health facilities in areas with potential for flooding in Magelang Regency. WebGIS results can display an administrative map of Magelang Regency, display a map of the distribution of health facilities, display a flood map and analysis of the identification of the readiness of health facilities in Magelang Regency. This website is expected to provide accurate and informative information as a basis for decision making in flood disaster mitigation planning. Based on the calculation of User Acceptance Testing (UAT), users produced a value of 88.8% of a total of 100%. Based on these results, users stated that they "strongly agree" with the system that was built that meets the user friendly criteria.
Co-Authors Araffi, Dimas Ilham Farida Yunita Irwanto Irwanto Nurhayati, Setia Winanto, Andri