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Artykuły w czasopismach na temat „Sulawesi Earthquake”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Khoirudin Apriyadi, Rio, Sobar Sutisna, Lasmono, and Riskina Tri Januarti. "Earthquake and tsunami potential levels in Sulawesi (lesson learned earthquake West Sulawesi)." E3S Web of Conferences 331 (2021): 07005. http://dx.doi.org/10.1051/e3sconf/202133107005.

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Earthquake and tsunami disasters always bring negative impacts and losses for humans. The high frequency of earthquake disasters in Sulawesi and the massive impact of destruction and damage to infrastructure, loss of homes and property, and death of people are partly due to the lack of knowledge of this potential disaster by the surrounding community. Therefore, it is necessary to study the potential for earthquake and tsunami disasters on Sulawesi Island, and Lesson Learned about the Earthquake Disaster that has occurred in past. This study uses a qualitative method with a descriptive analysi

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Maulinda, Reski, Tri Kusmita, Herman Aldila, and Triani Triani. "Analisis b-value Gempabumi Menggunakan Metode Gutenberg-Richter Berdasarkan Estimasi Maximum Likelihood Di Daerah Sulawesi Utara." Jurnal Riset Fisika Indonesia 4, no. 2 (2024): 75–82. http://dx.doi.org/10.33019/jrfi.v4i2.3804.

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Sulawesi is an area prone to earthquakes. This is because the Sulawesi region is flanked by three main plates, namely the Pacific Ocean plate moving westward, the Australian Continental Plate moving northward, and the Eurasian Plate moving south-southeast. This situation causes a high level of seismicity in the Sulawesi region. The Sulawesi region has a fairly complex tectonic setting so that the activity of earthquakes in the Sulawesi region is also interesting to study. The level of seismicity depends on the degree of fragility of the rock (b-value) and the distribution of earthquakes in the

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Hiola, Muhammad Fikri Haykal, and A. Nasrurroh. "Estimation of Rupture Duration and Mwp Values to Identify Tsunami Generating Earthquakes in Northern Sulawesi." Jurnal Geofisika 17, no. 1 (2019): 10. http://dx.doi.org/10.36435/jgf.v17i1.382.

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Sulawesi is an area that has a high potential for tsunamis, especially in the North Sulawesi region due to the presence of a Pundungan Mayu subduction resulting from a double collision between the Maluku Sea plate and Halmahera and Sangihe arcs. Analysis of the duration rupture and estimated Mwp has been carried out using the P-wave phase in the North Sulawesi region as one of the tsunami early warning parameters. The data used were teleseismic body wave (300-900) from three earthquake-generating earthquakes with magnitudes above 7 (Sulawesi earthquake November 16, 2008, Celebes earthquake Feb

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Annas, Suwardi, Irwan Irwan, Rahmat H. Safei, and Zulkifli Rais. "K-Prototypes Algorithm for Clustering The Tectonic Earthquake in Sulawesi Island." Jurnal Varian 5, no. 2 (2022): 191–98. http://dx.doi.org/10.30812/varian.v5i2.1908.

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Natural disasters that had occurred in Indonesia consist of hydro-meteorology: floods, droughts, and landslides, geophysical: volcanic earthquakes and volcanic eruptions, and biological: epidemics. Regarding the tectonic earthquake on Sulawesi Island, there are at least 2 earthquake disasters that became national disasters, namely in Central Sulawesi and West Sulawesi in the range of 2017 to 2021. This study aims to cluster tectonic earthquakes on Sulawesi Island, from 2017 to 2020, as the basis for formulating disaster mitigation plans. This study used tectonic earthquake data from 2017 to 20

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5

Wijaya, Ody Octora, and Rushendra. "Analysis of Sulawesi Earthquake Data from 2019 to 2023 using DBSCAN Clustering." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 8, no. 4 (2024): 454–65. https://doi.org/10.29207/resti.v8i4.5819.

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Sulawesi is a region in Indonesia known for its significant seismic activity, and its history of impactful earthquakes makes it an area of crucial importance for in-depth analysis. This study analyses earthquake occurrence data in the Sulawesi region from 2019 to 2023 using clustering methods with the DBSCAN algorithm. The utilization of the DBSCAN algorithm was chosen for its ability to cluster data based on spatial density, well-suited for analyzing the spatial patterns of earthquakes. DBSCAN is known for its effectiveness in identifying spatial clusters, especially in handling data with und

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6

Wattimanela, Henry Junus. "ANALYZING EARTHQUAKE ACTIVITY LEVELS IN NORTH SULAWESI USING MAXIMUM LIKELIHOOD METHOD AND GUTENBERG – RICHTER LAW." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 2 (2023): 0827–36. http://dx.doi.org/10.30598/barekengvol17iss2pp0827-0836.

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Tectonic earthquakes are disasters that often cause damage to buildings and loss of life. The Province of North Sulawesi and its surroundings are earthquake-prone areas because they are located at the confluence of the major plates. This study aims to analyze the level of earthquake activity in the Province of North Sulawesi and its surroundings using the maximum likelihood method and the Guttenberg-Richter law. The distribution of the earthquake studied for the period 1941-2021 in the Province of North Sulawesi and its surroundings with a Mag ≥3.0 Mw and a depth ≤60 km. The data used comes fr

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7

Asandi, Ruhi, Madlazim Madlazim, and Muhammad Nurul Fahmi. "PENENTUAN AKURASI CENTROID MOMENT TENSOR (CMT) GEMPABUMI SECARA REAL-TIME DAN OTOMATIS DI SULAWESI DENGAN METODE GISOLA PADA SOFTWARE JOKO TINGKIR." Inovasi Fisika Indonesia 13, no. 1 (2023): 49–61. https://doi.org/10.26740/ifi.v13n1.p49-61.

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Abstrak Gempabumi tektonik realtif sering terjadi di Indonesia, gempabumi tektonik merupakan gempa yang dipicu karena adanya pergerakan pada lempeng tektonik. Sulawesi merupakan salah satu daerah relatif rawan terhadap gempabumi di Kepulauan Indonesia. Peneltian ini memiliki tujuan untuk menganalisis akurasi Centroid Momen Tensor (CMT) hasil penentuan real-time dan otomatis serta untuk mengetahui cara merevisi dari hasil penentuan CMT gempabumi real-time dan otomatis menggunakan metode Gisola dalam software Joko Tingkir pada gempabumi di Sulawesi. Penelitian ini berbasis komputasi dengan mengg

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8

Kusmiran, Amirin, Minarti, Muhammad Fawzy Ismullah Massinai, Ahmad Zarkasi, A. Andira Maharani, and Rita Desiani. "Klasifikasi Kedalaman Kejadian Gempa Menggunakan Algoritma K-Means Clustering: Studi Kasus Kejadian Gempa Di Sulawesi." JFT: Jurnal Fisika dan Terapannya 9, no. 2 (2022): 79–88. http://dx.doi.org/10.24252/jft.v9i2.29198.

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Sulawesi region is one of the region that have complex geologic conditions so that disasters caused by large scale earthquake frequently occur in these region. Depth and magnitude attribute of the earthquake that cause the disasters are investigation using machine learning technique. Longitude, latitude, magnitude, depth attributes are used to depth cluster of the earthquake events in 1970-2022 period. The cluster number have been optimized by Elbow method, and validated by Davies-Bouldin index (DBI). The result is shown that the three cluster is the best cluster than the others, and its Davie

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9

Miyajima, Masakatsu, Yuko Serikawa, and Hendra Setiawan. "Geo-disasters induced by the recent earthquakes in Japan and Indonesia." MATEC Web of Conferences 331 (2020): 02001. http://dx.doi.org/10.1051/matecconf/202033102001.

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This paper is focusing on the geo-disasters induced by the 2018 Hokkaido Iburi-tobu earthquake in Japan and the 2018 Sulawesi earthquake in Indonesia. The Hokkaido Iburi-tobu earthquake occurred at east of Iburi region in Hokkaido, Japan on September 6th, 2018. Tremendous number of landslides occurred in the mountain areas at Iburi region. Uplift and sinking of road and inclination of houses were caused by liquefaction in the south eastern part of Sapporo city. The Sulawesi earthquake happened at Central Sulawesi Province, Indonesia on September 28th 2018. The ground displacement triggered by

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Frastika, Yustiani, Guntur Pasau, and Jantje D. Prang. "Estimasi Periode Ulang Gempa Bumi Di Wilayah Sulawesi Dengan Menggunakan Distribusi Gumbel." Jurnal MIPA 2, no. 2 (2013): 151. http://dx.doi.org/10.35799/jm.2.2.2013.3208.

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Estimasi periode ulang gempa bumi yang bersifat ekstrim dengan menggunakan Distribusi Gumbel dilakukan untuk menganalisis kejadian gempa bumi yang telah terjadi sebelumnya menggunakan data sejak Januari 1905-Juni 2013. Pengolahan dan analisis data dilakukan dengan dua tahap. Pertama,Pengujian dan pemeriksaan pola sebaran data. Kedua, menentukan periode ulang gempa bumi untuk mengetahui keberulangan gempa ekstrim yang akan terjadi selanjutnya. Hasil analisis yang diperoleh adalah Wilayah Sulawesi sangat rawan terhadap kejadian gempa bumi yang bersifat ekstrim. Tingkat pengulangan kejadian gempa

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11

Kusmiran, Amirin. "Clustering and Risk Analysis of The Earthquake in Sulawesi Using Mini Batch K-Means, K-Medoids, and Maximum Likelihood Method." Elkawnie 9, no. 1 (2023): 1. http://dx.doi.org/10.22373/ekw.v8i2.13027.

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Abstract: The earthquake events have been widely analyzed using a statistical approach. Therefore, the sole purpose of this research is clustering and risk analysis of earthquake events based on the combination of machine learning and statistics. The machine learning, conducted by Mini Batch K-Means and K-Medoids, is validated by the Davies-Bouldin index method to earthquake events cluster. Furthermore, the statistics approach conducted by the maximum likelihood method is to estimate the b-value and a-value of earthquake events. The data used in the earthquake events analysis in Sulawesi have

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12

Suwuh, Sike, Armstrong Sompotan, and Sixtus Umboh. "KOREKSI LOKASI HIPOSENTRUM GEMPABUMI DI SULAWESI UTARA MENGGUNAKAN METODE MODIFIED JOINT HYPOCENTER DETERMINATION." Jurnal FisTa : Fisika dan Terapannya 1, no. 2 (2020): 80–87. http://dx.doi.org/10.53682/fista.v1i2.95.

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North Sulawesi is one of the areas that has had a fairly high level of seismic activity that has occurred, due to the position of North Sulawesi Island which is located close to the earthquake source. One of the parameters of an earthquake that can be calculated is the earthquake hypocenter.Determining the hypocenter of an earthquake is very important in the world of seismology. The Modified Joint Hypocenter Determination (MJHD) method was carried out for relocation of the earthquake hypocenter. To find out how the results of the Hypocentrum Location Correction using MJHD and the tectonic patt

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13

Homer, Sarah Selviana, Guntur Pasau, and Ferdy . "Analisis Distribusi Frekuensi-Magnitudo Gempabumi Di Wilayah Sulawesi Utara." Jurnal MIPA 2, no. 2 (2013): 156. http://dx.doi.org/10.35799/jm.2.2.2013.3219.

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Analisis Distribusi Frekuensi-Magnitudo Gempa Bumi di Wilayah Sulawesi Utara telah dilakukan. Analisis Distribusi Frekuensi-Magnitudo Gempa Bumi menggunakan metode maximum likelihood merupakan upaya mitigasi dalam menentukan nilai parameter gempa (nilai ɑ-b), perulangan gempa merusak, serta daerah berpotensi gempa merusak. Hasil data ANSS menunjukan bahwa pada timur (dalam arah utara-selatan) mempunyai nilai ɑ-b yang lebih rendah dibandingkan barat wilayah SULUT, dengan nilai masing-masing sekitar 7-7,8 dan 0,8-1,5. Hasil perhitungan perulangan gempa merusak (Magnitudo Mw = 7) sekitar 15-20 ta

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14

Pilger, Christoph, Peter Gaebler, Lars Ceranna, et al. "Infrasound and seismoacoustic signatures of the 28 September 2018 Sulawesi super-shear earthquake." Natural Hazards and Earth System Sciences 19, no. 12 (2019): 2811–25. http://dx.doi.org/10.5194/nhess-19-2811-2019.

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Abstract. A magnitude 7.5 earthquake occurred on 28 September 2018 at 10:02:43 UTC near the city of Palu on the Indonesian island of Sulawesi. It was a shallow, strike-slip earthquake with a rupture extending to a length of about 150 km and reaching the surface. Moreover, this earthquake was identified as one of very few events having a super-shear rupture speed. Clear and long-lasting infrasound signatures related to this event were observed by four infrasound arrays of the International Monitoring System of the Comprehensive Nuclear-Test-Ban Treaty Organization as well as by one national inf

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15

Maramis, Clarita, Guntur Pasau, and Gerald Hendrik Tamuntuan. "Analisis Percepatan Tanah Maksimum Akibat Adanya Gempa Bumi di Lengan Utara Pulau Sulawesi Menggunakan Metode Fukushima Tanaka." Jurnal MIPA 9, no. 2 (2020): 97. http://dx.doi.org/10.35799/jmuo.9.2.2020.29029.

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Percepatan tanah maksimum (Peak Ground Acceleration) Adalah salah satu parameter yang digunakan dalam mengestimasi tingkat kerusakan akibat goncangan gempa bumi. Lengan utara pulau Sulawesi merupakan salah satu bagian dari pulau Sulawesi yang sangat rentan terhadap gempa bumi. Tujuan penelitian ini adalah untuk mendapatkan peta sebaran nilai PGA di lengan utara Sulawesi berdasarkan perhitungan percepatan tanah dengan menggunakan metode Fukushima-Tanaka sebagai upaya mitigasi bencana. Hasil analisis nlai PGA menunjukkan bahwa daerah utara provinsi Gorontalo, sebelah timur provinsi Sulawesi Utar

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16

Wibowo, Adhi, Pepen Supendi, and Andri D. Nugraha. "Coulomb Stress Change of Mw 7.5 Palu-Donggala Earthquake, Sulawesi (28 September 2018)." Jurnal Geofisika 18, no. 1 (2020): 19. http://dx.doi.org/10.36435/jgf.v18i1.423.

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The Mw 7.5 Palu earthquake that occurred in Palu-Central Sulawesi, Indonesia, on September 28, 2018, accompanied by the tsunami and liquefaction caused casualties and building damage in the city of Palu and its surroundings. One month later, a series of earthquakes swarm occurred in Mamasa, West Sulawesi. In this study, coulomb stress were calculated using a half-space elastic model in a square plane which is assumed to be homogeneous isotropy to analyze whether there is a relationship between earthquakes that occur in Palu and earthquakes swam in the coulomb stress field changes. The results

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Pertiwi, Imanuela Indah. "Analisis Statistik Distribusi Kejadian Gempabumi Di Luwu Timur, Morowali, Dan Morowali Utara, Sulawesi." Jurnal Geofisika 20, no. 1 (2022): 1. https://doi.org/10.36435/jgf.v20i1.477.

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The tectonic conditions of East Luwu, Morowali and North Morowali, which are very complex, are traversed by main and local faults, making it possible to cause large earthquakes with a strength of M≥5. This research was conducted with the aim of knowing the distribution statistics of earthquakes in East Luwu, Morowali and North Morowali. The research area was selected at 1,00oS – 3,50oS dan 120,50oE– 122,50oE. The data used is the earthquake parameter data from IRIS-DMC (Incorporated Research Institutions for Seismology Data Management Centre) earthquake catalog from 1961 to 2020. The Poisson d

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18

Humairah, Nanda Lailatul, and Achmad Fauzan. "SPATIAL INSIGHTS INTO EARTHQUAKE STRENGTH: A SULAWESI CASE STUDY USING ORDINARY AND ROBUST KRIGING METHODS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 2 (2024): 1283–96. http://dx.doi.org/10.30598/barekengvol18iss2pp1283-1296.

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The data from the Meteorology, Climatology and Geophysics Agency (BMKG) in the last 22 years shows that there have been 230 destructive earthquakes in Indonesia with the highest incidence in 2021. One of the islands frequently hit by earthquakes is Sulawesi Island. According to the 2020 Disaster Risk Index Book (IRBI), 63 of the 81 regencies/cities on Sulawesi Island have a high category earthquake risk index. Based on this, information is needed as a first step in disaster mitigation so that the government can take preventive and anticipatory actions to reduce risks associated with earthquake

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Rio, Afrioni Roma, and Berton Maruli Siahaan. "Agglomerative Clustering of 2022 Earthquakes in North Sulawesi, Indonesia." Buana Information Technology and Computer Sciences (BIT and CS) 4, no. 2 (2023): 76–84. http://dx.doi.org/10.36805/bit-cs.v4i2.5361.

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This paper presents a cluster analysis of earthquake data in the surrounding region of North Sulawesi, Indonesia. The dataset comprises seismic data recorded throughout the year 2022, obtained from the BMKG earthquake repository. A total of 211 earthquakes were included in the analysis, with a minimum magnitude threshold of 2.5 and a maximum depth of 300 km. The agglomerative clustering technique, combined with the elbow method, was employed to determine the optimal and distinct number of clusters. As a result, four unique clusters were identified. Cluster 1 exhibited high magnitudes, with an

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Wibowo, Sandy Nur Eko, As'ari ., and Slamet Suyitno Raharjo. "Analisis Daerah Dugaan Seismic Gap di Sulawesi Utara dan sekitarnya." Jurnal MIPA 3, no. 1 (2014): 53. http://dx.doi.org/10.35799/jm.3.1.2014.3908.

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Seismic gap adalah kawasan yang aktif secara tektonik namun sangat jarang mengalami gempabumi dalam jangka waktu yang lama. Terdapat dua daerah dugaan seismic gap yang terdapat di daerah Sulawesi Utara antara lain daerah Laut Maluku dan Laut Sulawesi. Pada penelitian ini akan dianalisis sejauh mana potensi bahaya dua daerah dugaan seismic gap tersebut didasarkan pada profil perubahan parameter seismotektonik nilai b, analisis mekanisme fokus, perubahan nilai rasio vp/vs, periode ulang gempabumi dan prediksi parameter patahan di dua daerah penelitian. Diperoleh bahwa hanya daerah dugaan seismic

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21

Donna, Bella, and Madelina Ariani. "Earthquake, Tsunami, and Liquefaction in Central Sulawesi, Indonesia: How Far is Our Disaster Health Management Progress?" Prehospital and Disaster Medicine 34, s1 (2019): s52. http://dx.doi.org/10.1017/s1049023x19001213.

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Introduction:Located in the Pacific Ring of Fire, Indonesia is prone to natural hazards, such as earthquakes, tsunamis, floods, and volcanic activity. Management in the health sector is a necessary foundation for dealing with a disaster. Management lessons and essential experiences identified from disasters are often forgotten. The faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada has been developing disaster health management since 2009 after Padang Earthquake, followed by Merapi Volcano Eruption (2009), Pidie Jaya Earthquake (2016), and Lombok Earthquake (2018). The lat

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Julius, Admiral Musa, and Daryono. "Overview of 1990s deadly tsunamis in Indonesia." E3S Web of Conferences 331 (2021): 07001. http://dx.doi.org/10.1051/e3sconf/202133107001.

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In the 1990s there were 7 (seven) deadly tsunami events due to earthquakes in Indonesia. There is M 7.8 North-east of Flores island sea earthquake (1992), M 7.6 South of Java island sea earthquake (1994), M 6.8 South of Timor Island sea earthquake (1995), M 7.8 North-west of Sulawesi island sea earthquake (1996), M 7.9 East of Biak island sea earthquake (1996), M 7.7 Taliabu island sea earthquake (1998), and M 7.4 East of Banggai Island sea earthquake (2000). Those earthquake and tsunami disasters events affected the number of casualties and damaged houses in coastal areas. Surely those events

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Putri, Aprilia Manggala, Aditya Saputra, and Afif Ari Wibowo. "Study of tsunami source as preparation for tsunami modeling in Sulawesi." IOP Conference Series: Earth and Environmental Science 1314, no. 1 (2024): 012126. http://dx.doi.org/10.1088/1755-1315/1314/1/012126.

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Abstract The Sulawesi region is prone to earthquakes due to the existence of a Subduction Zone which can generate a tsunami so that tsunami modeling is important as a tsunami mitigation effort in the future. The purpose of this research is to study the maximum earthquake potential in the Sulawesi Subduction Zone and to model the tsunami source with a multi-deformation scheme. The research method is a literature study using the 2017 National Earthquake Center book, tsunami modeling using an earthquake scenario with a magnitude of 8.5 Mw, a depth 20 Km, fault dimension modeling using global mapp

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Miftahul Huda, A. M., and Ain Sahara. "PENENTUAN SUMBER GEMPA LOKAL BERDASARKAN WAKTU TIBA GELOMBANG P DAN S: STUDI KASUS LENGAN UTARA PULAU SULAWESI." PETROGAS: Journal of Energy and Technology 3, no. 2 (2021): 29–38. http://dx.doi.org/10.58267/petrogas.v3i2.68.

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Determination of the source of the earthquake has been carried out in the north arm of Sulawesi. The earthquakes analyzed were a local earthquake with a magnitude of more than 5 M. The source of the earthquake is the main variable in earthquake disaster mitigation. Determining the source of the earthquake using the arrival time of the P/S wave. The arrival times of the P/S waves were validated with a Wadati’s chart to test the convergence of the data. Determination of the source of the earthquake was analyzed using HYPOINVERSE. The source of the earthquake obtained has variations in depth and

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Astuti, A. P., E. M. Elsera, M. F. I. Massinai, and M. A. Akbar. "Characteristic of the 2010-2020 Earthquakes in North Arm of Sulawesi based on Focal Mechanism and b-value." IOP Conference Series: Earth and Environmental Science 873, no. 1 (2021): 012031. http://dx.doi.org/10.1088/1755-1315/873/1/012031.

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Abstract The north arm of Sulawesi has a fairly high level of seismicity. The North Sulawesi arm is bounded in the south by the Palu-Koro Fault, the northern part is bounded by the North Sulawesi Trench and the Molluca Sea Thrust in the east. Therefore, this study aims to analyze the characteristic of the 2010-2020 earthquakes in the north arm of Sulawesi by analyzing the earthquake’s focal mechanism and mapping the b-value using the maximum likelihood method. From this study, we obtained the focal mechanism consist of thrust and strike-slip, this is due to the activity of faults and subductio

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Anggraini, Delfira, Ratni Sirait, Lailatul Husna Lubis, and Christofel Haposan Great Sibuea. "IDENTIFICATION OF ELECTROMAGNETIC ULTRA LOW FREQUENCY (ULF) SIGNAL ANOMALIES AS PRECURSORS OF A MAGNITUDE 5 EARTHQUAKE IN THE SULAWESI REGION." Jurnal Neutrino:Jurnal Fisika dan Aplikasinya 16, no. 2 (2024): 71–84. http://dx.doi.org/10.18860/neu.v16i2.26296.

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Sulawesi is situated at the intersection of three tectonic plates the Indo-Australian, Eurasian, and Philippine plates. The Palu Koro fault is one of the primary causes of seismic activity in the Sulawesi region, making it vulnerable to earthquakes on this Island. As an initial step in disaster mitigation, the information provided is useful in determining the initial signs before the occurrence of an earthquake, it is necessary to identify Ultra Low Frequency (ULF) Signal Anomalies as earthquake precursors. The methods employed are those of power spectrum density (PSD) and single-station trans

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Zakaria, Salsabila Aulia Putri, Intan Noviantari Manyoe, Alan Gani Abduh, and Fadillah Budjang. "Seismicity map to analyze the depth and magnitude earthquake zone in Kwandang Area of North Gorontalo Regency." IOP Conference Series: Earth and Environmental Science 884, no. 1 (2021): 012060. http://dx.doi.org/10.1088/1755-1315/884/1/012060.

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Abstract Kwandang is a district located in the northern part of Gorontalo. The purpose of this research is to analyze the depth and magnitude earthquake zone that occurred in the district of Kwandang, Gorontalo Utara regency based on seismicity map. The astronomical research location is located at 0° 49' 39" S, 122° 55' 8" E. The method used in this research is seismicity map analysis. The earthquake that dominates in Kwandang, based on the value of its depth, namely shallow earthquake (0-70 km) and medium earthquake (70-300 km). This is caused by subduction activity in the direction of the su

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Syifa, Mutiara, Prima Kadavi, and Chang-Wook Lee. "An Artificial Intelligence Application for Post-Earthquake Damage Mapping in Palu, Central Sulawesi, Indonesia." Sensors 19, no. 3 (2019): 542. http://dx.doi.org/10.3390/s19030542.

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A Mw 7.4 earthquake hit Donggala County, Central Sulawesi Province, Indonesia, on 28 September 2018, triggering a tsunami and liquefaction in Palu City and Donggala. Around 2101 fatalities ensued and 68,451 houses were damaged by the earthquake. In light of this devastating event, a post-earthquake map is required to establish the first step in the evacuation and mitigation plan. In this study, remote sensing imagery from the Landsat-8 and Sentinel-2 satellites was used. Pre- and post-earthquake satellite images were classified using artificial neural network (ANN) and support vector machine (

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Prayogo, J., and F. Faris. "Analysis of liquefaction potential in the Malalayang beach area, North Sulawesi." IOP Conference Series: Earth and Environmental Science 1244, no. 1 (2023): 012030. http://dx.doi.org/10.1088/1755-1315/1244/1/012030.

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Abstract North Sulawesi Province was locating in a tectonically active area, affected by subduction of the Sulawesi Sea plate, Sangihe, and Halmahera. These plates are still active to provide an earthquake threat. Several large earthquakes that came from various plates around Manado City have been recorded. A large earthquake that shakes sandy soil can produce liquefaction events. The Malalayang beach area, located in the West of Manado City a part of Malalayang Beach Area Arrangement Work Package and the Bunaken Village Ecotourism Arrangement, was chosen as the research object to analyse the

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Harum, Siva Dwi, Elvan Yuniarti, and Dwi Haryanto. "Pemodelan 2-Dimensi dan 3-Dimensi Penyebaran Bijih Besi Menggunakan Data Resistivitas dan IP di Daerah “A” Provinsi Kalimantan Selatan." Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics 2, no. 1 (2019): 56–63. http://dx.doi.org/10.15408/fiziya.v2i1.11175.

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Sulawesi Island is composed of complex tectonic arrangements. Most earthquake activities in Sulawesi are affected by the Palu - Koro Fault and Matano Fault. Palu - Koro Fault and Matano Fault are one of the faults in Central Sulawesi. Active movement of the fault results in high earthquake activity in the region of Central Sulawesi and its surroundings. This makes the importance of earthquake parameters in Central Sulawesi and surrounding areas. One of the efforts to find out earthquake parameter information accurately is to relocate. The purpose of this study was to conduct hypocenter earthqu

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Azizah, Lusti Nur, Arif Tjahjono, and Agung Sabtaji. "Relokasi Hiposenter Gempa Bumi dan Model Struktur Kecepatan 1 Dimensi Gelombang P dengan Menggunakan Metode Coupled Velocity – Hypocenter di Daerah Sulawesi Tengah dan Sekitarnya." Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics 2, no. 1 (2019): 1–9. http://dx.doi.org/10.15408/fiziya.v2i1.9514.

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Sulawesi Island is composed of complex tectonic arrangements. Most earthquake activities in Sulawesi are affected by the Palu - Koro Fault and Matano Fault. Palu - Koro Fault and Matano Fault are one of the faults in Central Sulawesi. Active movement of the fault results in high earthquake activity in the region of Central Sulawesi and its surroundings. This makes the importance of earthquake parameters in Central Sulawesi and surrounding areas. One of the efforts to find out earthquake parameter information accurately is to relocate. The purpose of this study was to conduct hypocenter earthqu

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Jayadi, H., B. J. Santosa, D. D. Warnana, et al. "A Preliminary Tomography Inversion Study on the Palu Koro Fault, Central Sulawesi Using BMKG Seismic Network." IOP Conference Series: Earth and Environmental Science 1227, no. 1 (2023): 012032. http://dx.doi.org/10.1088/1755-1315/1227/1/012032.

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Abstract The Palu Koro Fault, which frequently causes solid and destructive earthquakes, is the most exciting aspect of Central Sulawesi’s tectonics. We used local earthquake data from the area in this preliminary study. Our preliminary investigation entails analyzing local seismic data and estimating the velocity structure and hypocenter location using a tomographic approach that employs P-wave arrival times from the Agency for Meteorology, Climatology, and Geophysics earthquake observation network from 2010 to 2019. We use a 1-D initial velocity structural model in this tomographic inversion

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Madusila, Ratna Sari, Intan Noviantari Manyoe, and Cindi Claudia Male. "Analisis Parameter Gempabumi Dengan Struktur Geologi Di Daerah Asparaga, Gorontalo." Jambura Geoscience Review 3, no. 1 (2021): 1–8. http://dx.doi.org/10.34312/jgeosrev.v3i1.8462.

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Gorontalo is an area located in the North Arm of Sulawesi which has a complex geological structure as a result of the submergence of the Sulawesi Sea and East Sangihe so that this area is considered an earthquake-prone area. The existence of the regional structure and the mapping of the earthquake point distribution is interesting to be studied more deeply because it affects seismic activity in the area. The purpose of this study is to analyze earthquakes in the Asparaga area based on their depth and magnitude and to relate them to the geological structures found in the study area. The earthqu

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Suwardi, Suwardi, Arko Djajadi, Tata Subrata, and Laura Belani Nudiyah. "APLIKASI DOUBLE DIFFERENCE UNTUK IDENTIFIKASI ZONA PATAHAN MIKRO WILAYAH SULAWESI BARAT." METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi 7, no. 2 (2023): 272–77. http://dx.doi.org/10.46880/jmika.vol7no2.pp272-277.

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West Sulawesi is an area in South Sulawesi province that is experiencing a sudden increase in seismic activity. There have been 264 earthquake events recorded during the 2021-2022 period. The increase in seismic activity occurred around the west Sulawesi segment and the Mamuju segment, which are local faults located in west Sulawesi. Sulawesi Island itself is the result of fragments due to larger complex reactions and has quite high seismic activity. Therefore, it is necessary to calculate the earthquake hypocenter relocation to obtain more accurate hypocenter parameters for fault zone identif

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Pranantyo, I. R., A. Cipta, H. A. Shiddiqi, and M. Heidarzadeh. "Source reconstruction of the 1969 Majene, Sulawesi earthquake and tsunami: A preliminary study." IOP Conference Series: Earth and Environmental Science 873, no. 1 (2021): 012054. http://dx.doi.org/10.1088/1755-1315/873/1/012054.

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Abstract We studied the February 23rd, 1969 M7.0 Majene, Sulawesi earthquake and tsunami. It was followed by tsunami reported at five locations. At least 64 people were killed and severe damage on infrastructures were reported in Majene region. Based on damage data, we estimated that the maximum intensity of the earthquake was MMI VIII. Focal mechanisms, derived using first motion polarity analysis, indicated that the earthquake had a thrust mechanism. Furthermore, we built hypothetical earthquake scenarios based on a rectangular fault plane of 40 km × 20 km with a homogeneous slip model of 1.

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Arifianti, Yukni, Pamela Pamela, Prahara Iqbal, Sumaryono Sumaryono, Amalfi Omang, and Hilda Lestiana. "SUSCEPTIBILITY ASSESSMENT OF EARTHQUAKE-INDUCED LANDSLIDES: THE 2018 PALU, SULAWESI MW 7.5 EARTHQUAKE, INDONESIA." Rudarsko-geološko-naftni zbornik 38, no. 3 (2023): 43–54. http://dx.doi.org/10.17794/rgn.2023.3.4.

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A catastrophic Palu earthquake on September 28th, 2018 with Mw 7.5 triggered countless slope failures, generating numerous landslides. This paper presents a practical method for susceptibility assessment of earthquake-induced landslides in the Palu region and the surrounding area. The statistical weight of evidence (WoE) model was used to assess the relationship between landslides induced by seismic motion and its causative factors to determine the susceptibility level and derive an earthquake-induced landslide susceptibility map of this study area. The 1273 landslides were classified into two

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Jaya, Asri, Osamu Nishikawa, and Sahabuddin Jumadil. "Paleoseismic Analysis of the Walanae Fault Zone in South Sulawesi, Indonesia." Indonesian Journal on Geoscience 10, no. 2 (2023): 215–27. http://dx.doi.org/10.17014/ijog.10.2.215-227.

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The most seismogenic fault of South Sulawesi region is Walanae Fault, which has a moderate seismicity history with magnitudes ranging from Mw 4 to Mw 5. The largest earthquake occurred in 1997 with a magnitude of Mw 5.9. After the Donggala-Palu earthquake assailed Sulawesi Island in 2018, the fault in this region were reactivated, including the Walanae Fault system that has pair parallel faults, West Walanae Fault (WWF) and East Walanae Fault (EWF). This fault zone has a 150-km-long and 3-km-wide fault traces, and should have seismicity potential to produce larger earthquakes than the events m

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Patria, Adi, Anggraini Rizkita Puji, and Hiroyuki Tsutsumi. "Neotectonics of the eastern Matano fault, Sulawesi, Indonesia: Preliminary results." IOP Conference Series: Earth and Environmental Science 1227, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1755-1315/1227/1/012001.

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Abstract The Matano fault in central Sulawesi is one of the major strike-slip faults that accommodate the rapid left-lateral slip between the Pacific and Australian plates. The Matano fault has a high seismic potential of producing large (Mw ≥7) earthquakes. However, the Matano fault was less studied, unlike the Palu-Koro fault. This paper presents preliminary results of our active fault investigation in the eastern Matano fault which may help in understanding the neotectonics and earthquake hazard in central Sulawesi. The late Quaternary deformation of the eastern Matano fault is evidenced by

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Pasau, Guntur, and Adey Tanauma. "PEMODELAN SUMBER GEMPA DI WILAYAH SULAWESI UTARA SEBAGAI UPAYA MITIGASI BENCANA GEMPA BUMI." JURNAL ILMIAH SAINS 15, no. 1 (2011): 202. http://dx.doi.org/10.35799/jis.11.2.2011.208.

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PEMODELAN SUMBER GEMPA DI WILAYAH SULAWESI UTARA SEBAGAI UPAYA MITIGASI BENCANA GEMPA BUMI 1) Guntur Pasau2) dan Adey Tanauma2); e-mail: pasaujunior@gmail.com1)Penelitian IPTEK dan Seni dengan Biaya DIPA Unsrat Tahun 2011 2)Progran Studi Fisika FMIPA Universitas San Ratulangi Manado, 95115 ABSTRAK Pemodelan sumber gempa di wilayah Sulawesi Utara telah dilakukan. Pemodelan sumber gempa menggunakan teori probabilitas total merupakan salah satu upaya mitigasi dalam mengetahui besarnya percepatan suatu gerakan tanah yang diakibatkan oleh suatu gempa bumi. Analisis perhitungan percepatan tanah maks

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Handayani, Anik Nur, Reski Dwi Suciati, Ulfa Qomaria, Widya Lestari, Youngga Rega Nugraha, and Paul Igunda Machumu. "The use of social media for earthquake and Tsunami information." Bulletin of Social Informatics Theory and Application 7, no. 1 (2023): 74–82. http://dx.doi.org/10.31763/businta.v7i1.97.

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As one of the countries being passed by the Pacific Fire Circle (Ring of Fire), Indonesia is prone to earthquakes. Recently, an earthquake and tsunami occurred. A new disaster occurred in Central Sulawesi, Indonesia, resulting in the destroyed buildings and houses. This occurrence of the disaster was quite shocking to various countries. News of the occurrence of natural disasters immediately went viral through various social media due to the residents' and BMKG's posts. Social media is greatly involved in natural disaster cases as it facilitates analysis on the conditions and situations of ear

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Erlangga, Wisnu, Mochamad Teguh, Malik Mushthofa, Imam Trianggoro Saputro, and Gunawan Setiadi. "SEBARAN GEMPA UTAMA BERDASARKAN MAGNITUDO DAN KEDALAMAN DI WILAYAH MAMUJU DAN SEKITARNYA." Teknisia 27, no. 2 (2022): 122–31. http://dx.doi.org/10.20885/teknisia.vol27.iss2.art6.

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Sulawesi is one of Indonesia's large islands with a high vulnerability to earthquakes due to its geographical location, which lies between the confluence of tectonic plates and several active faults. The earthquake events' intensity was relatively high with small to large magnitudes. One area recently hit by a large earthquake that caused material losses and casualties was found in Mamuju. Given this condition, it is essential to determine the latest seismicity mitigation in the Mamuju area and its surroundings to look at the distribution of the mainshock based on the magnitude and depth of th

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Martha, Agustya Adi, Angga Setiyo Prayogo, Jimmi Nugraha, Suliyanti Pakpahan, and Nelly Florida Riama. "Network of Radon Gas Concentration Monitoring of Research and Development Centre – BMKG for Earthquake Precursor Research in Indonesia." IOP Conference Series: Earth and Environmental Science 873, no. 1 (2021): 012006. http://dx.doi.org/10.1088/1755-1315/873/1/012006.

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Abstract The geographical position of Indonesia, which is flanked by several subduction zones and the presence of active faults in the sea and land make Indonesian territory prone to earthquakes and tsunamis which can result in many deaths and damaged. There are several efforts we can do to minimize the occurrence of earthquakes, including developing earthquake resistant buildings, increasing the ability/capacity of the community, and predicting earthquakes or better known as earthquake precursors. The BMKG Research Centre began conducting research on earthquake prediction using several method

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Nur Indah Sari, Siti. "Analysis of potential liquefaction of sandy soils using effective confining pressure." E3S Web of Conferences 156 (2020): 02013. http://dx.doi.org/10.1051/e3sconf/202015602013.

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Earthquake disasters are some of the most frequent disasters in the world. One of the impacts of earthquakes is liquefaction. Indonesia is earthquake-prone and has been negatively impacted by liquefaction. Recently liquefaction resulting from an earthquake in Palu, Central Sulawesi caused losses in terms of material and lives motivating a more detailed study of this risk to reduce it in the future. In this study, an analysis of the liquefaction potential of sandy soil was carried out by varying the effective confining pressure to produce a graph relating fine contents (FC) to cyclic resistance

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Suharna, A., Sujiono Eko Hadi, and Pariabti Palloan. "Seismicity and influence of coulomb stress on the risk of earthquakes in South Sulawesi." Journal of Physics: Conference Series 2193, no. 1 (2022): 012095. http://dx.doi.org/10.1088/1742-6596/2193/1/012095.

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Abstract This study aims to analyze the distribution of earthquake events, analyze seismicity based on the parameters of b value, analyze changes in Coulomb stress and analyze the risk of earthquake events in South Sulawesi based on seismicity levels and changes in Coulomb stress in the range of 1991-2021. The data used in this study is data on earthquake events in 1991-2021 obtained from the IRIS and ISC catalogues. Data from the IRIS catalogue is mapped using ArcGIS software to see the distribution of the next earthquake spread processed by using MATLAB-based ZMapp 7 software to obtain the v

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Widyatmoko, A., D. Legono, and H. C. Hardiyatmo. "Potential Study of Liquefaction in the Downstream Area of Jono Oge-Paneki River, Central Sulawesi." IOP Conference Series: Earth and Environmental Science 930, no. 1 (2021): 012084. http://dx.doi.org/10.1088/1755-1315/930/1/012084.

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Abstract Liquefaction during an earthquake is likely to occur in the quaternary geological layer of sediment. Based on the geological process, the mainland of Central Sulawesi was initially a sea lifted upward to become land Palu-Koro fault. Therefore, the land is basically of basic alluvium soil formation, sand deposits, and loose rock. The earthquake in Central Sulawesi in September 2018 was the cause of liquefaction, one of which was in the Jono Oge area, where most of the flow entered the Paneki river. This paper analyzed the potential for recurrent liquefaction by considering the soil str

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Pasau, Guntur. "RESPONS SPEKTRA GEMPA BUMI DI BATUAN DASAR KOTA BITUNG SULAWESI UTARA PADA PERIODE ULANG 2500 TAHUN." JURNAL ILMIAH SAINS 11, no. 1 (2011): 13. http://dx.doi.org/10.35799/jis.11.1.2011.33.

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Telah dilakukan analisis respons spektra gempa bumi di Kota Bitung Sulawesi Utara menggunakan teori probabilitas total. Penelitian ini bertujuan untuk menentukan percepatan gempa maksimum di batuan dasar Kota Bitung pada probabilitas 2% terlampaui dalam 50 tahun atau setara dengan periode ulang 2500 tahun. Resiko gempa dianalisis menggunakan bantuan software PSHA-USGS 2007. Hasil analisis menunjukkan bahwa percepatan tanah maksimum di batuan dasar Kota Bitung dan sekitarnya sebesar 0,7 g dengan kontribusi terbesar berasal dari penunjaman lempeng laut Maluku ke arah barat. Kejadian gempa rata-r

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Kapojos, Cloudya Gabriella, Gerald Tamuntuan, and Guntur Pasau. "ANALISIS PERCEPATAN TANAH MAKSIMUM DENGAN MENGGUNAKAN RUMUSAN ESTEVA DAN DONOVAN (Studi Kasus Pada Semenanjung Utara Pulau Sulawesi)." JURNAL ILMIAH SAINS 17, no. 1 (2015): 99. http://dx.doi.org/10.35799/jis.15.2.2015.9225.

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ANALISIS PERCEPATAN TANAH MAKSIMUM DENGAN MENGGUNAKAN RUMUSAN ESTEVA DAN DONOVAN (Studi Kasus Pada Semenanjung Utara Pulau Sulawesi) ABSTRAK Telah dilakukan analisis percepatan tanah maksimum di semenanjung utara Pulau Sulawesi dengan menggunakan rumusan Esteva dan rumusan Donovan. Data yang digunakan adalah data gempa bumi tektonik yang terjadi di sekitar semenanjung utara Pulau Sulawesi pada periode tahun 2008 – 2014. Hasil analisis menunjukkan bahwa perubahan nilai percepatan tanah dari rumusan Esteva dan rumusan Donovan memiliki pola perubahan yang sama terhadap jarak. Nilai percepatan tan

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Massinai, Muh Altin, Muhammad Taufiq Rafie, Tsaqif Razin, M. Alimuddin Hamzah Assagaf, Erfan Syamsuddin, and Maria Maria. "Analysis of stress changes on the Poso fault caused by large inland earthquakes: Case study of the 2017 Mw 6.6 Poso and the 2018 Mw 7.5 Palu-Donggala earthquakes." Annals of Geophysics 67 (November 29, 2024): S548. http://dx.doi.org/10.4401/ag-9106.

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The 2017 Mw 6.6 Poso and the 2018 Mw 7.5 Palu-Donggala represent significant seismic events in central Sulawesi Island. These events transferred the stress to the surrounding faults, which can promote or inhibit the critical condition in a fault, thus evaluating the stress transfer from these earthquakes is crucial for a comprehensive understanding of fault behaviour. In this study, we investigate the effect of these large events by resolving the accumulated Coulomb stress change onto a multi-strike segment of the Poso fault. Additionally, we also used GPS measurement (Global Strain Rate Model

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Fitriyati, Nina, Madona Yunita Wijaya, and M. Alvi Bisyri. "Variasi spasial dan temporal nilai-b pada gempa bumi di wilayah Sulawesi Tengah, Gorontalo, dan sekitarnya menggunakan metode robust fitting." Majalah Ilmiah Matematika dan Statistika 22, no. 2 (2022): 247. http://dx.doi.org/10.19184/mims.v22i2.33817.

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This study discusses variation in seismic and tectonic modeled by a Gutenberg-Richter relationship for earthquakes in the Central Sulawesi, Gorontalo, and surrounding areas using the Robust Fitting Method (RFM) with the weight function of Tukey’s bisquare. The declustering process on earthquake data is carried out using the Reasenberg equation. The values for both parameters are analyzed spatially and temporally. In the spatial analysis, the research area is divided into 43 grids. In the temporal analysis, the research area is divided into zone A and zone B. The data grouping is done using a s

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Sari, Dany Perwita, Mutmainnah Sudirman, and Andi Asmuliany. "The Design of Earthquake Evacuation Spaces Based on Local Wisdom: A Case Study of Traditional Houses in South Sulawesi." Designs 8, no. 2 (2024): 30. http://dx.doi.org/10.3390/designs8020030.

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Indonesia is situated on the Ring of Fire, which causes a lot of earthquakes. On the 28 September 2018, there was an earthquake in Palu, Sulawesi Island, Indonesia, which was one of the strongest shakings since 1980. Surprisingly, most traditional houses in Sulawesi survived. There has been some research on adapting traditional house structures to modern residential buildings. The limited availability of wood and complicated construction make adapting wood structures to current conditions challenging. The purpose of this study is to analyze space organization in ten traditional South Sulawesi

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