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PENGEMBANGAN ALAT DETEKSI DINI DALAM UPAYA PENINGKATAN KESIAPSIAGAAN WARGA DESA TOTOPO TERHADAP BENCANA BANJIR DAN TANAH LONGSOR Icha Untari Meidji; Haerul Ahmadi; Ninasafitri Ninasafitri; Devi Triana Paputungan; Kisman R Akuba; Harsano Jayadi
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): Volume 5 No 1 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i1.24708

Abstract

Desa Totopo merupakan salah satu desa terpencil di Kecamatan Bilato Provinsi Gorontalo yang sangat rentan terjadi multi bencana. Topografi Desa Totopo terdiri dari perbukitan dimana rumah warga berada pada lembahnya dan persis di samping rumah warga terdapat sungai besar yang sering menjadi penyebab banjir yang merendam rumah warga sekitar Desa Totopo. Hampir setiap tahun desa ini menjadi langganan bencana terutama bencana banjir dan tanah longsor. Oleh karena itu tujuan dari kegiatan ini adalah agar masyarakat Desa Topopo dapat mencegah ancaman, resiko dan dampak bencana sehingga Desa Totopo menjadi Desa tangguh terhadap bencana alam. Diharapkan pula Desa Totopo menjadi salah satu percontohan desa siaga bencana di Provinsi Gorontalo. Metode pengabdian yang dilakukan yaitu mengembangkan early warning system melalui perakitan dan pemasangan alat deteksi dini untuk banjir dan tanah longsor yang diharapkan mampu mengurangi resiko kerugian korban jiwa maupun harta jika terjadi bencana. Melalui kegiatan yang telah disebutkan, diharapkan Desa Totopo menjadi desa tangguh siaga bencana alam.
Sistem Pendeteksi Kualitas Air Di Sekitar Pesisir Pantai Tondo Menggunakan Metode Fuzzy Logic Rusdin, Andi; Jumiyatun, Jumiyatun; Sesenggi, Moh Idham; Jayadi, Harsano
PROtek : Jurnal Ilmiah Teknik Elektro Vol 9, No 1 (2022): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v9i1.3602

Abstract

The disaster that hit Palu City recently caused changes in the quality of water consumed by the community. To find out whether it is feasible or not, we need a method to detect a water quality system that is easy to implement at an economical price to be used for daily needs. Therefore, a tool is designed to determine the quality of water that is sampled around the Tondo beach using the Fuzzy Logic method. This design was built using the Arduino module by combining four sensors, namely a pH sensor, a TDS sensor, a Turbidity sensor, and a temperature sensor. Water quality in this study was divided into three groups, namely drinking water (UM), washing water (UC), and unsuitable water (TL). The water quality benchmark value is known from combining the results of existing sensor readings, wherein sample 1, the value of water quality measured in the study is in the category not in accordance with the fuzzy value 10, in sample 2,the use of washing uses the fuzzy value of 45.68 and sample three is worth 26.4
A NON-LINEAR HYPOCENTER LOCALIZATION ALONG THE ACTIVE PALU-KORO FAULT: A CASE STUDY CENTRAL SULAWESI Jayadi, Harsano; Th. Musa, Moh. Dahlan; Rachman, Gazali; Meidji, Icha Untari; Massinai, Muhammad Fawzy Ismullah; Warnana, Dwa Desa
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.418

Abstract

The Central Sulawesi region is prone to earthquakes, as evidenced by its complex geological structure. Several plates and active fault movements in the vicinity cause this situation. One of the active faults that often causes earthquakes is the Palu-Koro active fault. The city of Palu is one of the areas passing through the Palu-Koro fault. The danger of this earthquake occurrence can be ascertained and assessed using a suitable earthquake location. Within the scope of our investigation, we used a non-linear approach to predict the hypocenter site in the vicinity of the Palu-Koro fault that is active. This Method use oct-tree importance sampling algorithm to generate spatial hypocenter locations. Using the AK135 minimal seismic velocity model, we manually re-picked the arrival times of wave P-waves and S-waves arrival timings of 3,852 and 3,690, respectively, collected by 24 BMKG observation sites from January 2011 to December 2015, utilizing the minimal 1D seismic velocity model from AK135. We employed criteria to ascertain the event's location, including a minimum of four stations exhibiting a distinct beginning of P and S wave arrivals, with a magnitude of at least 3Mw and an average depth ranging from 10 to 20 km. The outcomes of seismic event location identification exhibit improved clustering with inversion, revealing a zero-centered Gaussian distribution, where more time discrepancies, both positive and negative, correspond to increased estimating mistakes. According to this research, the Palu-Koro active fault line's primary shallow seismic zone is the most prominent feature in the area and confirms the existence of active land faults that cause earthquake events by conducting a process of determining a locally updated 1D velocity model that will be used to determine a more precise relocation of the hypocenter used to interpret the subsurface model of the research area.
Earthquake Analysis Using the Probabilistic Seismic Hazard Analysis (PSHA) Method in Palu City Jayadi, Harsano; Meidji, Icha Untari; Hidayat, Irna; Abdullah
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 1 No. 2 (2025): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Palu, Indonesia, is a region with high seismic activity due to its location on the active Palu-Koro fault line. This study aims to analyze the probability of earthquakes, the spatial and temporal distribution of earthquake occurrences, and disaster mitigation efforts in anticipation of earthquakes in the region. Earthquake data in Palu City were analyzed based on magnitude, depth, and frequency of occurrence. The results indicate that most earthquakes occur at shallow depths ranging from approximately 10 to 56.8 kilometers, with a dominance of moderate magnitude (5.0–5.7 M_w). Over the past two decades, there has been an increase in the temporal occurrence of earthquakes, with a significant surge in 2018 when a magnitude 7.5 earthquake triggered a tsunami and liquefaction. Probability analysis indicates that earthquakes with high seismicity indices are highly likely to occur within a 10- to 50-year timeframe. The spatial distribution reveals that earthquakes tend to be concentrated around the Palu-Koro fault, the primary source of seismic activity in the region. These findings provide important insights into the seismic patterns of Palu City and can inform community preparedness and disaster mitigation strategy development.