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Strengthening Ngledoksari Village, Tawangmangu, Karanganyar as a Disaster-Resilient Village Through a Landslide Early Warning System Marzuki, Ahmad; Munandar, Choirul Singgih; Ekaputra, Muhammad Raihanriza; Nisya, Saidatul; Pratiwi, Isnaini Intan; Rafi, Muhammad; Desandi, Akmal; Rizqy, Miftahul; Wang, Jasson Franklyn; Hidayah, Maulina Nurul; Al Mutawakil, Hana Syahidah; Meili, Sunti Nur; Neineza, Nania Riswanda; Faruq, Alfan Umar; Fausta, Devara Ega
Indonesian Journal of Community Empowerment (IJCE) Vol 7 No 2 (2026): Indonesian Journal of Community Empowerment (May)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v7i2.1198

Abstract

Ngledoksari Village is one of the landslide-prone areas in Karanganyar Regency due to its hilly geographical location, many steep slopes, and high rainfall. This community service activity aims to strengthen community preparedness in facing landslide disasters through the implementation of Early Warning System (EWS) technology. The method used is Participatory Action Research which includes location surveys, installation, socialization and training on the use of tools to the community. The results of the activity are the installation of EWS tools at several strategic points, namely in Tegalsari Village & Nglurah Village Border. In addition, the socialization process shows an increase in community understanding regarding disaster mitigation and the ability to respond to early warnings independently. It is hoped that the installed EWS tools can be an effective solution to strengthen community-based disaster warning systems in landslide-prone areas
The Identification of Faults using Magnetic Method in Kulonprogo, Yogyakarta, Indonesia Koesuma, Sorja; Sehah, Sehah; Munandar, Choirul Singgih
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 2 (2024): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i2.93369

Abstract

The aims of this study to identify faults and identify subsurface lithology using magnetic anomaly data in the Kulonprogo. In the acquisition was carried out using a Proton Procession Magnetometer (PPM) Geotron G5 with 62 measurement points and a distance of ±1 km between point. Measurements were made on Kebobutak (Tmok), Aluvium (Qa), Andesit (a), and Sentolo (Tmps) formations. The total magnetic field data processing is done with several correction, namely diurnal correction, IGRF, reduce to equator, upward continuation at an altitude of 2000 m, and reduce to pole, and 2D modelling using the forward modelling method. The result of the analysis obtained magnetic field anomaly values in the range of values -400 to 950 nT. The 2D modelling shows that the research area is composed of 4 dominating rock types, namely andesite rock with a susceptibility value of 94 x 10-3, andesite breccia rock with a susceptibility value of 29 x 10-3, clay rock with a susceptibility value of 0,013 x 10-3, and sandstone with a susceptibility value of 5 x 10-3. The identification result show the existence of faults line on Mount Watuaglik, Mount Kamal, and Mount Bodag.