Academic literature on the topic 'Sulawesi Earthquake'

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Journal articles on the topic "Sulawesi Earthquake"

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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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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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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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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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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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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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Dissertations / Theses on the topic "Sulawesi Earthquake"

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Cipta, Athanasius. "Site and Basin Effects on Seismic Hazard in Indonesia:Sulawesi and Jakarta Case Studies." Phd thesis, 2019. http://hdl.handle.net/1885/161086.

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Earthquakes are among the most costly, devastating and deadly natural hazards. The extent of the seismic hazard is often influenced by factors like the source location and site characteristics, while the susceptibility of assets is influenced by the population density, building design, infrastructure and urban planning. A comprehensive knowledge of the nature of source and local geology enables the establishment of an effective urban planning that takes into account the potential seismic hazard, which in turn may reduce the degree of
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Book chapters on the topic "Sulawesi Earthquake"

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Islami, Jihad Nurul, Rohis Rachman, Yayang Matira, Junaidi, and Fadjryani. "Web Application of Classification of Potential Earthquake Region in Central Sulawesi." In Proceedings of the 4th International Seminar on Science and Technology (ISST 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-228-6_35.

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Rofi, Abdur, and Buddhi Hastanti Pancarini. "The Impact of the Sulawesi Earthquake on Maize Farmers in Sigi District Central Sulawesi: A Value Chain Analysis." In Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-122-7_13.

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Hazarika, Hemanta, Divyesh Rohit, Takashi Kiyota, Mitsu Okamura, Siavash Manafi Khajeh Pasha, and Sukiman Nurdin. "Forensic Evaluation of Long-Distance Flow in Gently Sloped Ground During the 2018 Sulawesi Earthquake, Indonesia." In Latest Developments in Geotechnical Earthquake Engineering and Soil Dynamics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1468-2_12.

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Arsyad, Ardy, Muhsan Putra Hatta, and Andi Imam Ardiansyah. "The Effect of Ground Condition on Seismic Amplification in the 2021 Mamuju Earthquake Sulawesi." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9223-2_33.

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Sassa, Shinji. "Cascading Mechanisms Behind the 2018 Indonesia Sulawesi Earthquake and Tsunami Disasters: Inland/Coastal Liquefaction, Landslides and Tsunami." In Dam Breach Modelling and Risk Disposal. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46351-9_4.

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Kiyota, Takashi, Masataka Shiga, Toshihiko Katagiri, Hisashi Furuichi, and Hasbullah Nawir. "Effect of Artesian Pressure on Liquefaction-Induced Flow-Slide: A Case Study of the 2018 Sulawesi Earthquake, Indonesia." In Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering (Beijing 2022). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11898-2_140.

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Sabah, Nazeel, and Daya Shanker. "Are Strong Aftershocks Always Triggered by a Positive Coulomb Stress Change? : A Case Study of the 2018 Indonesia (Sulawesi) MW 7.5 Tsunamigenic Earthquake." In 5th World Congress on Disaster Management. Routledge, 2022. http://dx.doi.org/10.4324/9781003341932-56.

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Sugiarti, Annisa Sri, Nazriatun Nisa, and Ella Meilianda. "An Overview of School Selection as a School Hub After The 2018 Sulawesi Earthquake and Tsunami (A Case Study in Kota Palu and Sigi Regency)." In Springer Proceedings in Earth and Environmental Sciences. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81072-5_38.

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Conference papers on the topic "Sulawesi Earthquake"

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Tasbihi, Naufal Luthfan, Achmad Choiruddin, and Abdollah Jalilian. "Hazard Modeling of Sulawesi-Maluku Earthquakes Using Space-Time ETAS: Comparing Long Decay and Short Decay Densities." In 2024 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS). IEEE, 2024. https://doi.org/10.1109/agers65212.2024.10932966.

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Koraag, Meiske Elisabeth. "INCIDENCE OF DENGUE HEMORRHAGIC FEVER AFTER THE EARTHQUAKE IN CENTRAL SULAWESI INDONESIA." In International Conference on Public Health. The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/24246735.2020.6105.

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The earthquake can cause a potential transmission of the disease after the disaster. One of the infectious diseases that could potentially be a post-earthquake outbreak is Dengue Hemorrhagic Fever (DHF). The earthquake, followed by a tsunami and liquefaction that struck Palu's city, Sigi's regency, and the regency of Donggala in Central Sulawesi in September 2018, led to the increased transmission of the dengue hemorrhagic fever disease in all three regions. This research aims to determine the incidence rate of DHF in the affected areas of the earthquake disaster in Central Sulawesi. The data
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Majid, R. E., F. Faris, and A. Rifa’i. "SEISMIC GROUND RESPONSE ANALYSIS FOR LIQUEFACTION ASSESSMENT IN BUNAKEN, NORTH SULAWESI, INDONESIA." In 7th International Conference on Sustainable Built Environment. Universitas Islam Indonesia, 2023. http://dx.doi.org/10.20885/icsbe.vol4.art30.

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Bunaken Island is a quaternary deposit of Holocene age. Dominating sand layers, shallow groundwater table, and near active fault locations make the area highly susceptible to liquefaction. This study aims to determine the minimum ground acceleration that can potentially trigger liquefaction in the area. In this study, earthquakes originating in the North Sulawesi Thrust were modelled with various magnitudes. PGA was calculated using the attenuation function from : Liu and Tsai (2005), Abrahamson et al. (2016), Atkinson and Boore (2003), and Zhao et al. (2006). Each earthquake parameter was ana
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Nahli, Kiddy, and Vicco Oryzavica. "Study of earthquake potential between two major faults in Buol area Sulawesi." In INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2016: The 6th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction. Author(s), 2017. http://dx.doi.org/10.1063/1.4987064.

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Prayogo, Muchammad Bagus, Isnandar Slamet, and Respatiwulan. "Implementation of agglomerative hierarchical clustering algorithm for earthquake areas in Sulawesi Island." In INTERNATIONAL CONFERENCE ON SCIENCE AND APPLIED SCIENCE (ICSAS) 2021. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0075119.

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Ismullah M., Muh Fawzy, Lantu, Sabrianto Aswad, and Muh Altin Massinai. "Tectonics earthquake distribution pattern analysis based focal mechanisms (Case study Sulawesi Island, 1993–2012)." In NATIONAL PHYSICS CONFERENCE 2014 (PERFIK 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915021.

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Prayogo, J., F. Faris, and H. C. Hardiyatmo. "ANALYSIS OF LIQUEFACTION EFFECT ON SETTLEMENT USING ROCSCIENCE SETTLE AT MALALAYANG BEACH AREA, NORTH SULAWESI." In 7th International Conference on Sustainable Built Environment. Universitas Islam Indonesia, 2023. http://dx.doi.org/10.20885/icsbe.vol4.art38.

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The Malalayang Beach area is a strategic tourist destination close to Manado city. Arrangement of the area is carried out by building several buildings that can support this area as a tourist destination. Liquefaction is a phenomenon when the soil loses its strength of contact between particles. This is due to earthquake shocks that trigger an increase of water pressure in areas with loose sand characteristics (not dense). The settlement of soil due to liquefaction is a vertical deformation of the soil in the soil layer caused by soil compaction due to earthquakes. The study purpose is to dete
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Sarsito, D. A., Susilo, W. J. F. Simons, et al. "Newly velocity field of Sulawesi Island from GPS observation." In INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2016: The 6th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction. Author(s), 2017. http://dx.doi.org/10.1063/1.4987069.

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Hasanah, Intan, Devy Kamil Syahbana, Agus Santoso, and Indriati Retno Palupi. "Complex frequency analysis Tornillo earthquake Lokon Volcano in North Sulawesi period 1 January-17 March 2016." In INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2016: The 6th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction. Author(s), 2017. http://dx.doi.org/10.1063/1.4987089.

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Sarsito, D. A., Susilo, W. J. F. Simons, et al. "Rotation and strain rate of Sulawesi from geometrical velocity field." In INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2016: The 6th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction. Author(s), 2017. http://dx.doi.org/10.1063/1.4987070.

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