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All Journal Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer
RR Hajar Puji Sejati
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Computer Science & IT

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Journal : Bulletin of Computer Science Research

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Implementasi Aplikasi Manajemen Wisata Pantai Berbasis Mobile dengan Model Waterfall Kaka Nisfa Kurniawan; Rr Hajar Puji Sejati
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.864

Abstract

Pangandaran Beach is one of the leading tourist destinations in West Java, boasting significant tourism potential. However, the increasing number of tourist visits has created various problems, such as environmental pollution due to waste and a manual ticket booking system. This has reduced visitor comfort and reduced the effectiveness of tourism area management. This research aims to develop a web-based and mobile-based waste reporting and ticket management system as a solution to these problems. The designed system allows tourists and the public to report waste directly through the application and book tickets online with QR code validation. The research used a software engineering approach with a literature review method as the basis for system design. The results indicate that this system has the potential to improve tourism management efficiency, expedite ticketing services, and support environmental conservation at Pangandaran Beach. Therefore, the use of information technology can be an effective strategy in realizing sustainable and environmentally friendly tourism.
Aplikasi Mobile Untuk Pengelolaan Sampah dengan Pengenalan Jenis Sampah Menggunakan Teknologi Computer Vision Abhirama Garda Nagara Hakh; Rr Hajar Puji Sejati
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.870

Abstract

The increasing volume of household waste that is not managed effectively in Indonesia poses a serious environmental problem, primarily due to the low public awareness in sorting waste by type. Conventional Waste Banks face operational constraints such as manual recording processes and inefficient waste collection. This research aims to develop an integrated solution in the form of a mobile application that combines digital Waste Bank management features with Computer Vision (CV) technology for waste classification. The application is designed to facilitate users in submitting recyclable waste collection requests and provides an educational feature for automatic waste type recognition via the smartphone camera. The development method includes the design of an integrated information system (user application, web admin, and database) and the implementation of a Deep Learning model (CNN) optimized using TensorFlow Lite to run in real-time on Android devices. The system functionality test results indicate that all main features (registration, transactions, balance mutation, and collection requests) operate normally according to the design specifications. This research contributes to providing a functional, transparent system prototype that can serve as an effective educational tool to encourage community participation in sorting and managing waste at the source.
Co-Authors Abhirama Garda Nagara Hakh Agus Suhendar Aulia Nugraheni Kaka Nisfa Kurniawan SRI WULANDARI