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All Journal Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora (KAGANGA) International Journal Software Engineering and Computer Science (IJSECS)
Muhammad Adri Ramadhan
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Computer Science & IT Social Sciences

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Penerapan Sistem Pelaporan Mandiri Kebersihan Lingkungan dan Pemantauan Jentik Nyamuk Sri Lestari; Wieko Wieko; Muhammad Adri Ramadhan; Muhammad Zaeni Nadip
Kaganga:Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora Vol. 8 No. 2 (2025): Kaganga:Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/kaganga.v8i2.14478

Abstract

This research aims to address issues in environmental cleanliness management and mosquito larvae monitoring in Malaka Jaya, East Jakarta. The expected solution is the development of a web-based application that facilitates real-time reporting and monitoring. The research object includes local communities and sanitation officers. The methods employed involve prototype application development,  black-box testing, and user socialization. The research results indicate that the application functions effectively, enhancing reporting efficiency and community awareness of environmental cleanliness. The conclusion drawn from this study is that the application can serve as an effective tool in cleanliness management and disease prevention. The implications of this research highlight the need for continuous development and integration with other technologies to improve system effectiveness. Recommendations include community education and impact evaluation of the application post-implementation.   Keywords: Application, Community Participation, Environmental Cleanliness, Mosquito Monitoring
Implementation of Haar Cascade and K-Nearest Neighbors (KNN) Face Recognition for Optimizing Warehouse Access Control Security Dadang Iskandar Mulyana; Muhammad Adri Ramadhan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5244

Abstract

Warehouse facility access control security represents a critical factor in maintaining operational integrity and preventing criminal activities. This research addresses the elevated security threat risks associated with physical surveillance systems that continue to rely on manual methods with suboptimal performance. The study develops an automated security system based on face recognition technology, implementing Haar Cascade and K-Nearest Neighbors Classifier methods to identify and verify warehouse user identities with precision and automation. The research object focuses on facial recognition systems for warehouse access control. The methodology applies Haar Cascade algorithms for facial detection and K-Nearest Neighbors Classifier for classifying detected faces against existing datasets. Implementation utilizes external webcams, computer hardware, and Python-based programming software. Results demonstrate that the developed system achieves facial recognition accuracy exceeding 90%, delivering superior security performance compared to manual systems. The research concludes that face recognition technology effectively enhances efficiency and security in warehouse access management. The study recommends implementing such systems in large-scale warehouse facilities to optimize security management protocols
Co-Authors Dadang Iskandar Mulyana` Muhammad Zaeni Nadip Sri Lestari Wieko Wieko