Implementasi Voice Detection dan Geolocation Aplikasi Pelaporan Kejahatan di Jalan Raya Realtime Berbasis Mobile


  • Restu Sofyan Ma'arif * Mail Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
  • Rodhiyah Mardhiyyah Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
  • (*) Corresponding Author
Keywords: Android; Crime Reporting Application; Kotlin; Geolocation; Voice Detection

Abstract

The prevalence of public space crimes, particularly street crimes like mugging and klithih, has become a crucial issue disrupting community safety and comfort. Current emergency reporting systems, which rely on phone calls or direct visits to police stations, are often hampered by time delays, reducing the effectiveness of intervention. To address this, an integrated crime reporting system is proposed through an Android mobile application developed using the Waterfall method. This solution enhances conventional systems by implementing Geolocation and Voice Detection technologies. Geolocation enables precise mapping of incident locations, ensuring location data remains accurate to within 9 meters even with a weak GPS signal Meanwhile, Voice Detection acts as the initial trigger for crime reporting. It proactively analyzes ambient audio for specific shout patterns, which indicate an emergency. The model achieves an accuracy of 0.9590% in noisy environments. Upon detection, the system automatically sends simultaneous emergency notifications to all nearby app users and security authorities within 2 seconds. This application is expected to significantly optimize crime response times, contributing tangibly to enhancing public safety and security.

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Article History
Submitted: 2025-10-14
Published: 2025-11-03
Abstract View: 226 times
PDF Download: 98 times
How to Cite
Ma’arif, R., & Mardhiyyah, R. (2025). Implementasi Voice Detection dan Geolocation Aplikasi Pelaporan Kejahatan di Jalan Raya Realtime Berbasis Mobile. Journal of Information System Research (JOSH), 7(1), 132-141. https://doi.org/10.47065/josh.v7i1.8527
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