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All Journal Jurnal Fisika Unand Jurnal Spektra Jurnal Hilirisasi IPTEKS (JHI) Jurnal Ilmu Fisika INTEGRITAS : Jurnal Pengabdian BERNAS: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Community Empowerment and Service
Elistia Liza Namigo, Elistia
Departemen Fisika, Universitas Andalas
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SOSIALISASI DAN PEMETAAN POTENSI TANAH LONGSOR MENGGUNAKAN METODE MIKROSEISMIK DAN GEOLISTRIK DI KAWASAN OBJEK WISATA BUKIT NOBITA Marzuki Marzuki; Mutya Vonnisa; Ahmad Fauzi Pohan; Arif Budiman; Imam Taufiq; Trengginas Eka Putra Sutantyo; Elistia Liza Namigo; Dian Milvita; Alimin Mahyudin; Nini Firmawati; Muldarisnur Muldarisnur; Afdal Afdal; Dahyunir Dahlan; M. Ali Shafii; Afdhal Muttaqin; Rico Adrial; Dedi Mardiansyah; Harmadi Harmadi; Zulfi Zulfi; Geby Sri Ayu Oktavia; Fani Anjelina; Nurul Annisa
Jurnal Hilirisasi IPTEKS Vol. 6 No. 2 (2023)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v6i2.655

Abstract

Nobita Hill is one of the areas being developed as a tourist attraction in the city of Padang. Above Nobita Hill is a beautiful view, and you can see the picture of Padang City. However, the hilly topography with steep slopes makes this area prone to landslides. This activity aims to map the potential for landslides on Novita Hill. Activities start from preparation, implementation in the field, and evaluation. Field activities are carried out in two stages. The first stage is an experiment to map the landslide potential. The second stage is socialization. The target audience for this activity is the Village Head of Jua Nan XX Village and its officials and the community around Nobita Hill. The results of the study and mapping were disseminated to the village administration and community leaders involved in the development of the Bukit Nobita tourism area, which was carried out on November 16, 2022. The result of tourist objects often changes land use and cover. However, mitigation of the potential for landslides in this area has never been done. Therefore, the Andalas University Physics Department team mapped the potential for landslides on Novita Hill for six months, using microseismic and geoelectric methods. This activity obtained a map of the distribution of dominant frequencies, a map of the distribution of amplification, and an identification of slip planes concerning the potential for landslides on Nobita Hill. Furthermore, the results of the mapping and mitigation efforts have been disseminated to the village administration and community leaders involved in the development of the Bukit Nobita tourism area. This activity was carried out well. The landslide potential distribution map obtained from this activity is input for the community and stakeholders in developing the Buki Nobita tourist attraction that is safe from disasters.
Pemetaan Potensi Panas Bumi Berbasis Pengindraan Jauh di Wilayah Lubuk Sikaping, Kabupaten Pasaman Menggunakan parameter LST, NDVI dan FFD Kajufa, Tari; Namigo, Elistia Liza
Jurnal Fisika Unand ##issue.vol## 15 ##issue.no## 4 (2026)
Publisher : Universitas Andalas

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Abstract

A geothermal potential indication mapping was conducted in the Lubuk Sikaping area, Pasaman Regency, using a remote sensing approach based on satellite imagery to support the initial identification of prospective geothermal zones in regions with limited field data. This study employed three main parameters: the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Fault and Fracture Density (FFD), which represent vegetation conditions, surface temperature, and geological fracture structures, respectively. The data were obtained from Landsat 8 OLI/TIRS and SRTM DEM imagery, processed using Google Earth Engine (GEE) and Geographic Information System (GIS) tools, and the integration of the three parameters was carried out using the Analytical Hierarchy Process (AHP) method. The results showed that NDVI values ranged from 0.0046 to 0.5569, LST values from 15.00 to 44.89 °C, and FFD values exceeded 3.2 km/km² in active fault zones. The prospective geothermal zones are concentrated in the central to northwestern parts of the study area, including regions without surface manifestations, and validation through spatial comparison with regional geological data and nearby geothermal manifestations revealed strong correspondence and supported the model’s accuracy. These findings indicate that the remote sensins and can serve as a valuable reference for guiding further exploration planning in areas with limited field measurement data.g–based approach has significant potential for non-invasive preliminary identification of geothermal prospect.
Analisis Deformasi Vulkanik Gunung Marapi Pasca-Erupsi Desember 2023 Menggunakan Metode DInSAR Berbasis Data Sentinel-1A Deshafa, Abdul Fadhilla; Namigo, Elistia Liza
Jurnal Fisika Unand ##issue.vol## 15 ##issue.no## 4 (2026)
Publisher : Universitas Andalas

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Abstract

This study aims to analyze the surface deformation of Mount Marapi, West Sumatra, after the December 3, 2023 eruption as an indicator of volcanic activity to support disaster mitigation. Sentinel-1A imagery (IW-SLC mode) from October 23, 2023 to January 15, 2024 was processed using SNAP and QGIS through the stages of coregistration, interferogram generation, topographic correction (SRTM DEM 30 m), phase unwrapping, and conversion to deformation with the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique. The results indicate three deformation phases: slight pre-eruption deflation, significant inflation prior to the eruption, and post-eruption deflation. Maximum inflation of +0.84 m occurred during November 28–December 10, 2023, followed by deflation reaching –0.90 m from December 10, 2023 to January 15, 2024. Convergent vector directions toward the crater center indicate pressure accumulation caused by magma or gas migration, while pressure migration toward the southwest is associated with the eruption and the subsequent cold lahar event in May 2024. These findings are consistent with seismic and visual data from PVMBG/MAGMA Indonesia. Therefore, the DInSAR method is proven effective for monitoring volcanic deformation both spatially and temporally, and has strong potential to support data-driven early warning and disaster mitigation systems.
Co-Authors Ade saputra Ade Saputra Adrial, Rico Afdal Afdal Afdal Afdal Afdal Rahman Afdal, Afdal Afdhal Muttaqin Afdhal Muttaqin Ahmad Fauzi Pohan Aisyah, Ovina Alimin Mahyudin Arif Budiman Arif Budiman Astuti Astuti Aulia Latifah Azlin, Amalia Dahyunir Dahlan Damayanti, Elok Dedi Mardiansyah Deshafa, Abdul Fadhilla Dian Fitriyani Dian Mega Y Dian Milvita Dwi Pujiastuti Dwi Puryanti Faizah Musra Fani Anjelina Fani Anjelina Fauzana, Husnatul Feriska Handayani Irka, Feriska Handayani Geby Sri Ayu Oktavia Geby Sri Ayu Oktavia Harmadi Harmadi Hasan, Melanz Hilalliyah, Nisful Husnatul Fauzana Imam Taufiq Imam Taufiq Imam Taufiq Jarnal Witarsa Jenny Teresia Simamora Jenny Teresia Simamora, Jenny Teresia Kajufa, Tari Khairunnisa Komala, Tri Ananda Latifah, Aulia M. Ali Shafii M. Ali Shafii M. Hamidi M. Hamidi M. Hamidi, M. Hamidi Ma’muri Ma’muri Ma’muri, Ma’muri Marwan, Muhammad Marzuki Marzuki Marzuki Marzuki Mega Y, Dian Melanz Hasan Meqorry Yusfi Mifthahul Putri Mohammad Ali Shafii Muhammad Marwan Muhammad Subhan Muhammad Subhan Muldarisnur, Mulda Murdiman, Imelda Mutya Vonnisa Nele Schildermans Nele Schildermans, Nele Nini Firmawati Nur ‘Azah Nurul Annisa Nurul Annisa Osi Yusdesra Ovina Aisyah Pertiwi, Rahmi Nanda Puspasari, Trevi Jayanti Putri, Mifthahul Rahayu Fitri Rahayu Fitri, Rahayu Rahman, Afdal Rahmi Nanda Pertiwi Ramacos Fardela Remiandayu, Selly Rudi Hidayat Rudi Hidayat Selly Remiandayu Sri Handani Sri Nofriyanti Sri Nofriyanti, Sri Sri Oktamuliani Trengginas Eka Putra Sutantyo Trevi Jayanti Puspasari Tri Ananda Komala Usna, Sri Rahayu Alfitri Vivi Lispa Yenti Vivi Lispa Yenti, Vivi Lispa Wildian Wildian Witarsa, Jarnal Yusdesra, Osi Zalwi, Eka Nadila Zulfi Zulfi Zulfi Zulfi Zulfi Zulfi Zulfi