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All Journal Mitra Akademia: Jurnal Pengabdian Masyarakat PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL)
Benyamin Heryanto Rusanto
Unknown Affiliation
Humanities Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences Other

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Edukasi Partisipatif Peringatan Dini dan Mitigasi Bencana Hidrometeorologi di Kecamatan Pesanggrahan Darmawan, Yahya; Karyono, Karyono; Wandono, Wandono; Benyamin Heryanto Rusanto; Agung Perdian Sulistio
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 8 No 3 (2025): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

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Abstract

Indonesia, as an archipelagic country with a high risk of geo-hydrometeorological disasters, requires early education to build awareness and preparedness. This study aims to improve students’ understanding of early warning systems and disaster mitigation through participatory learning. The Community Service Program (PKM) was carried out at SMA Triguna 1956, Pesanggrahan District, South Jakarta, on July 24, 2025. The stages included site survey, material preparation, socialization through Focus Group Discussion (FGD), disaster response simulation, and evaluation using pre-test and post-test combined with digital media. A quasi-experimental method with a pre-test and post-test design was applied. The results showed a significant increase in students’ understanding of early warning procedures and mitigation measures. Thus, participatory education proved effective in strengthening youth preparedness against geo-hydro meteorological disasters.
Early Detection of Seismic Signal Anomalies Using Raspberry Pi 5 and Lightweight Machine Learning Models Ahmad Kadarisman; Imam Fachruddin; Santoso Soekirno; Hanif Andi Nugraha; Benyamin Heryanto Rusanto; Martarizal
Joint Prosiding IPS dan Seminar Nasional Fisika Vol. 14 No. 1 (2026): Joint Prosiding IPS dan Seminar Nasional Fisika
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/03.1401.FA14

Abstract

Data integrity is crucial for seismic monitoring systems, but is often compromised by anthropogenic or instrumental anomalies. This paper proposes a lightweight edge computing framework using Raspberry Pi 5 for real-time anomaly detection. MiniSEED data from the high-noise TOJI station were processed through segmentation, statistical or spectral feature extraction, and unsupervised models (isolation forest and autoencoder). The results show a detection latency of 78-113 ms with minimal resource consumption (<35% CPU, <200 MB RAM) and 82% correlation with ground-truth anomalies. This framework can be used on networked seismographs with limited resources such as those of the BMKG.
Co-Authors Agung Perdian Sulistio Ahmad Kadarisman Hanif Andi Nugraha Imam Fachruddin Karyono Karyono Martarizal Santoso Soekirno Wandono, Wandono Yahya Darmawan