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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Jurnal SOLMA JMM (Jurnal Masyarakat Mandiri) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ILKOM Jurnal Ilmiah International Journal for Educational and Vocational Studies Indonesian Journal of Electrical Engineering and Computer Science
Dwina Kuswardani, Dwina
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Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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OPTIMALISASI KEAMANAN LINGKUNGAN BERBASIS AI MELALUI IMPLEMENTASI DAN EVALUASI APLIKASI MO-TAMU 3.0 Asri, Yessy; Kuswardani, Dwina; Suliyanti, Widya Nita; Ely, M. Jafar; Ansyari, Atikah Rifdah; Iqbal, Muhammad
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i2.38245

Abstract

Abstrak: Keamanan lingkungan perumahan menghadapi tantangan akibat sistem pencatatan tamu manual yang kurang efektif. Kegiatan Pengabdian kepada Masyarakat ini bertujuan memperkuat sistem keamanan pada salah satu kawasan perumahan melalui implementasi Aplikasi Mo-Tamu Versi 3.0 berbasis kecerdasan buatan. Metode yang digunakan meliputi analisis kebutuhan mitra, pengembangan sistem berbasis SDLC, pelatihan partisipatif kepada 5 petugas keamanan, perwakilan warga dan pengurus RT, serta evaluasi melalui pengujian kinerja algoritma dan survei User Acceptance Testing (n=12). Hasil menunjukkan peningkatan akurasi pengenalan wajah hingga 90% dengan precision 0,93 dan recall 0,97. Survei menunjukkan 90% responden menyatakan proses monitoring tamu lebih cepat dan 100% menyatakan fitur Emergency Button meningkatkan rasa aman. Implementasi sistem ini meningkatkan efisiensi pencatatan tamu dan memperkuat kesiapsiagaan masyarakat dalam pengelolaan keamanan lingkungan berbasis digital.Abstract: Residential security faces challenges due to ineffective manual guest-recording systems. This community service program aimed to strengthen the security system in a residential area through the implementation of Mo-Tamu Application Version 3.0 based on artificial intelligence. The method included partner needs analysis, system development using the SDLC approach, participatory training for five security officers, community representatives and neighborhood administrators, and evaluation through algorithm performance testing and a User Acceptance Testing survey (n=12). The results show an improvement in face recognition accuracy up to 90%, with a precision of 0.93 and recall of 0.97. The survey indicates that 90% of respondents reported faster guest monitoring and 100% stated that the Emergency Button feature enhanced their sense of security. The implementation improved guest data management efficiency and strengthened community preparedness in digital-based environmental security management.
Co-Authors Abdi Wahab Abdurrasyid, A Ansyari, Atikah Rifdah Asri, Yessy Asri, Yessy Cahyaningtyas, Rizqia Dedy Prasetya Kristiadi Dian Hartanti Elly, Muhamad Jafar Ely, M. Jafar Emilia Emilia Emillia, Emillia Ferdinanda Purba TS, Josephine Firmansyah, Esa Hadi Santoso Husada, Hendrianto Ikhsan, Fathirul Indrianto Indrianto Manullang, Yosef Owen Muhammad Fajri Muhammad Iqbal Pramudya, Widi Ridlan, Ahmad Sari, Amanda Atika Sikumbang, Hengki Suliyanti, Widya Nita Tarmizi, Rasyid Yuliana, Khozin