Retno Mumpuni
Universitas Pembangunan Nasional “Veteran” Jawa Timur

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Journal : bit-Tech

Mobile-Based Book Recommendation System Based on Film Preferences Using Content-Based Filtering Nabil Anshari; Retno Mumpuni; Budi Mukhamad Mulyo
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3177

Abstract

The low reading interest among the Indonesian population remains one of the main challenges in improving national literacy quality. One contributing factor is the difficulty in finding reading materials that align with individual interests. Conversely, the increasing public interest in films can be leveraged as a bridge to foster reading habits. This study discusses the development of a mobile-based book recommendation system based on users’ film preferences to facilitate the discovery of books relevant to their favorite films. The proposed method here employs a Content-Based Filtering approach using Term Frequency–Inverse Document Frequency (TF-IDF) and Cosine Similarity to measure the similarity between film synopsis and book descriptions. Data are retrieved in real time through the integration of The Movie Database (TMDB) API and Google Books API. System evaluation was conducted using User Acceptance Testing (UAT) with ISO 9126 as the evaluation framework, focusing on functionality, usability, and reliability aspects. The results show that the application successfully provides relevant book recommendations based on users’ selected films, achieving functionality, usability, and reliability scores of 88%, 84%, and 86%, respectively. Therefore, the system is considered feasible for use and has the potential to serve as a literacy enhancement medium based on film preference.
Design and Development of a Real-Time Delivery Tracking App Using WebSocket and Haversine Bima Arya Kurniawan; Retno Mumpuni; Muhammad Muharrom Al Haromainy
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3275

Abstract

The increasing demand for reliable real-time delivery tracking in furniture logistics highlights critical gaps in existing solutions: static geofencing without precise geodesic validation, polling-based protocols causing 1-3 second delays, and non-integrated Proof of Delivery (PoD) lacking automated location verification. These limitations result in inconsistent validation accuracy and limited transparency, directly impacting customer trust and operational costs. This research addresses these gaps by developing a novel tracking system uniquely integrating WebSocket-based bidirectional communication, Location-Based Services (LBS), and the Haversine Formula for geodesic distance validation, a combination not previously implemented for PoD-specific furniture logistics. The system comprises an Android driver application, Laravel-based backend with real-time WebSocket infrastructure, and monitoring interfaces for administrators and customers. Evaluation through 30 latency samples demonstrated stable WebSocket performance with average latency of 44.03 ms (SD=4.38ms; 95% CI=44.03±1.62ms), achieving 23-68 times faster transmission than traditional HTTP polling. Three geofence validation scenarios (50m, 100m, 200m radii) achieved 100% accuracy, with PoD triggering consistently restricted to authorized boundaries. Comprehensive functional testing confirmed reliable operational behavior across mobile and web modules. The practical impact includes automated location verification eliminating manual validation time, enhanced fleet visibility for large delivery trucks, and increased customer transparency through continuous tracking. These findings demonstrate that integrated WebSocket-Haversine-LBS architecture significantly improves delivery transparency, reduces validation errors, and enhances operational decision-making in furniture logistics. Future priorities include offline-first architecture, route optimization for heavy vehicles, and iOS platform support.