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All Journal Tunas Geografi Journal of Degraded and Mining Lands Management Jurnal Perencanaan Wilayah Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktik dalam Bidang Pendidikan dan Ilmu Geografi Journal of Geoscience, Engineering, Environment, and Technology Jurnal Informatika Penelitian Pendidikan Geografi Sebatik Indonesian Physical Review JARES (Journal of Academic Research and Sciences) JAGAT (Jurnal Geografi Aplikasi dan Teknologi) International Journal Of Science, Technology & Management (IJSTM) Jurnal Manajemen Rekayasa (Journal of Engineering Management)
Restele, La Ode
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Surface deformation and its implications for land degradation after the 2021 Flores earthquake (M7.4) using differential interferometry synthetic aperture radar Purba, Joshua; Harisma, Harisma; Priadi, Ramadhan; Amelia, Rosa; Dwilyantari, Anak Agung Istri; Jaya, Laode Muhammad Golok; Restele, La Ode; Putra, I Made Wahyu Gana
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6819

Abstract

On December 14, 2021, an earthquake with a magnitude of 7.4 originated from the Flores Sea, impacting Kalaotoa Island in Indonesia, resulting in significant structural damage. Macroseismic observations at the site classified that there were 120 buildings slightly damaged, 108 buildings moderately damaged, and 201 buildings heavily damaged. The shakemap shows that Kalaotoa Island experienced VI-VII MMI shaking. The results of the field survey showed many indications of subsidence as many fractures were found in Kalaotoa Island. This study employed Differential Interferometry Synthetic Aperture Radar (DInSAR) to quantify land subsidence and uplift in Kalaotoa Island before and after the earthquake. Sentinel-1A satellite radar data from December 2 and December 14, 2021, were analyzed. The results revealed subsidence of up to 12 cm in Garaupa Raya Village and uplift of up to ±10 cm in Lembang Mate’ne Village. Approximately 50.50% of Kalaotoa Island experienced subsidence (39.4 km²), primarily in Garaupa Village (18.85 km²), while 49.02% of the island experienced uplift (38.2 km²), mostly in Lembang Mate’ne Village (19.03 km²). This spatial analysis underscores the efficacy of DInSAR in detecting and mapping surface deformation, offering critical insights for earthquake preparedness, mitigation efforts for impacted landscape topography, stability soils, structure of ecosystems, and infrastructure resilience.
Analisis Tingkat Kerawanan Bahaya Longsor di Hulu Daerah Aliran Sungai Wanggu, Provinsi Sulawesi Tenggara Golok Jaya, La Ode Muhammad; Restele, La Ode; Kadir, Abdul; Asmirani, Sri; Muhibudin, Muhibudin; Lawa, Asis
Jurnal Manajemen Rekayasa (Journal of Engineering Management) Vol 4, No 2 (2022): Oktober Tahun 2022
Publisher : Pascasarjana Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jmr.v4i2.27608

Abstract

Bencana tanah longsor adalah salah satu bencana yang paling sering terjadi di wilayah Indonesia disebabkan berbagai factor termasuk adanya aktivitas manusia pada lahan yang tidak sesuai dengan kaidah pelestarian dan konservasi lingkungan. Diperlukan berbagai upaya mitigasi sehingga dampak bencana dapat dikurangi. Hulu Daerah Aliran Sungai (DAS) Wanggu yang berada di Kecamatan Konda dan Ranomeeto kabupaten Konawe Selatan Sulawesi Tenggara merupakan daerah yang sering terjadi longsor. Tujuan penelitian ini adalah untuk menganalisis tingkat kerawanan longsor pada hulu DAS Wanggu serta teknik mitigasi yang diperlukan. Metode penelitian yang diterapkan dalam penelitian ini mencakup survey lapangan serta identifikasi kuantitatif terhadap lima parameter kondisi lahan, yaitu tutupan lahan, tingkat kelerengan, kondisi geologi, besarnya curah hujan, dan jenis tanah. Teknik analisis data yang digunakan dalam penelitian ini adalah tumpang susun dari parameter yang telah ditentukan disertai pembobotan terhadap faktor-faktor yang berpengaruh terhadap bahaya longsor. Dari penelitian yang dilakukan terlihat bahwa wilayah di hulu DAS Wanggu yang memiliki tingkat kerawanan tinggi seluas, 10,541 Ha, tingkat kerawanan menengah 8,741 Ha, dan daerah dengan tingkat kerawanan rendah 15,191 Ha. Beberapa rekomendasi yang dapat diberikan untuk menurunkan risiko bahaya longsor adalah aspek teknis seperti perkuatan tebing, konservasi lahan yang memperhatikan kemiringan, penatagunaan air dan penguatan aspek manajemen, tatakelola kelembagaan dan kerjasama stakeholder.Kata Kunci: Hulu DAS Wanggu, Tanah Longsor, Mitigasi.
Expert System of Error Tracking Automated Weather Observing System Using Certainty Factor Method Based on Android Application M Djibran, Halis; Purba, Joshua; Saadia, Aprilia Ode; Restele, La Ode; Hasria, Hasria
Jurnal Informatika Vol 12, No 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i1.22536

Abstract

The limited number of technicians at several BMKG UPT (Task Implementation Units) in Indonesia is the main background of this research. Especially in the field of Aviation Meteorology, which has a significant safety risk for equipment data users. This can be made easier with an expert system. The fault tracking expert system aims to provide information about the symptoms of damage that occur in the Automated Weather Observing System (AWOS) so that it can make it easier for BMKG technicians to repair and handle the equipment. This research stage begins with collecting information data through experts and literature sources regarding AWOS equipment, then calculating the certainty value of the information using the certainty factor method, and produce information that will be displayed through the application. The system uses a Certainty Factor calculation method that presents the calculation of the certainty value of information based on the percentage of information delivery by the source, this method is used in accordance with the type of research that utilizes information from sources or experts in the AWOS field. The resulting system is an android application consisting of several knowledge bases stored in the MySQL database on the server. The results of the data analysis show that the resulting system can be used on the user's smartphone, and users can consult AWOS equipment damage properly. In addition, users can also view the consultation history and damage list. The application user satisfaction questionnaire shows the system has worked and fulfilled the function for users by showing a value of 33.3% Very Good and 66.7% Good.
SPATIAL STUDY OF SEISMIC HAZARD USING CLASSICAL PROBABILISTIC SEISMIC HAZARD ANALYSIS (PSHA) METHOD IN THE KENDARI CITY AREA Purba, Joshua; Restele, La Ode; Hadini, La Ode; Usman, Ida; Hasria, Hasria; Harisma, Harisma
Indonesian Physical Review Vol. 7 No. 3 (2024)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v7i3.325

Abstract

Kendari City is an area prone to earthquakes because it is in a seismic zone dominated by local faults such as the Lawanopo Fault, Kendari Fault, Buton Fault, Tolo Thrust and Matano Fault, as evidenced by significant seismic events like those in 2011 and 2022. The earthquake in 2011, with a magnitude of 6.0, struck Kolono District, South Konawe Regency, while the 2022 earthquake, registering a magnitude of 5.2, occurred in the sea approximately 5 km north of Soropia, Konawe Regency. With seismic activity such as the 2011 and 2022 earthquakes causing significant damage, understanding seismic hazards is critical. The research stage starts from Hazard Analysis using the Classical Probabilistic Seismic Hazard Analysis (PSHA) method to produce a hazard map that presents the distribution of peak ground acceleration on the surface, at periods 0 seconds (PGA), SA (T= 0.2 seconds) and SA (T= 1.0 seconds) for probabilities of exceedance 10% and 2% in 50 years, respectively. Classical Probabilistic Seismic Hazard Analysis (PSHA) processing uses OpenQuake Engine software. The analysis results show that the PGA value in Kendari City on the surface ranged from (0.49 - 0.68 g and 0.79 - 1.17 g), SA at T= 0.2 seconds (1.10 - 1.53 g and 1.74 - 2.09 g), and SA at T= 1 second (0.64 - 0.93 g and 1.35 - 1.91 g). This result indicates the potential for significant damage and shocks.
Dynamics of Urban Heat Island and NO2 Gas During the Covid-19 Pandemic Risnayah, Siti; Mudhalifana, Waode Sitti; Restele, La Ode
Tunas Geografi Vol. 12 No. 2 (2023): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v12i2.49303

Abstract

To know the COVID-19 pandemic™s impact on the environment, an analysis of Urban Heat Island and pollutant gas was carried out. From March to June 2020, the Indonesian government implemented the Large-Scale Social Restrictions (PSBB) policy, requiring people to limit activities in public places. The data used are Land Surface Temperature (LST) from the Terra MODIS and Nitrogen Dioxide (NO2) concentration from the TROPOMI sensor. The data is processed using the Google Earth Engine to produce comparative values before the PSBB implementation (2019), during (2020), and after (2021-2022). The LST will be derived into Surface Urban Heat Island (SUHI) to compare climate conditions in urban (Kendari) and rural areas (Ranomeeto, Lalonggasumeeto, North Moramo). The results show that reducing community activities during the pandemic was not able to reduce LST but succeeded in inhibiting the increase rate. The LST trend is more affected by rainfall variables where higher rainfall causes lower LST and vice versa. The SUHI value shows a downward trend, meaning that the Urban Heat Island effect has been inhibited. The most significant impact of PSBB was a 25.9% reduction in NO2 concentration. These results prove that the COVID-19 pandemic has successfully restored environmental health constantly exposed to air pollution. Keywords: COVID-19, Urban Heat Island, NO2, PSBB, Land Surface Temperature
Co-Authors Abdul Kadir Ahmad Hidayat Ali Okto Amelia, Rosa Andrias, Andrias Anita Indriasary Anshari, Erwin Arisona Arisona Asmirani, Sri Deniyatno, Deniyatno Dwilyantari, Anak Agung Istri Eka Apriana Firdaus Firdaus Fitra Saleh Fitra Saleh Fitriani Fitriani Fitriani Fitriani Golok Jaya, La Ode Muhammad Hairil Adzulyatno Hadini Harimuddin, Jamal Harimudin, Jamal Harisma Buburanda, Harisma Harsono, Ade Rahmasari Hasbullah Syaf Hasria Hasria Hasria Hasria, Hasria Hazriani Hazriani Ida Usman Indriasary, Anita Iradat Salihin, Laode Muh. Irfan Ido Irfan Ido Izat, Asnawati Jamal Harimuddin Jamal Harimudin Jaya, Laode Muhammad Golok Joshua Purba Jufri Karim L M Iradat Salihin L. M. Iradat La Harudu La Ode Amaluddin, La Ode La Ode Muhamad Munadi La Ode Ngkoimani La Ode Sahaba Lantara, I Putu Agus Putra Laode Muhammad Golok Jaya Laode Sabaruddin Lawa, Asis Luh Nyoman Didik Tri Utami M Djibran, Halis Masri Masri Mudhalifana, Waode Sitti Muhibudin, Muhibudin Muliati Muliati, Muliati Muliddin Noor Husna Khairisa Nurgiantoro, Nurgiantoro Okto, Ali Priadi, Ramadhan Purba, Joshua Putra, I Made Wahyu Gana Rika Yustika Risnayah, Siti Saadia, Aprilia Ode Saleh, Fitra Saputu, Muh. Sumitran Sawaludin, Sawaludin Sidamu, Yuni kartika Sudirmanto, Sudirmanto Suparwi Suparwi Suryawan Asfar Syamsiar, Syamsiar Yahya, Fifi