{"id":24657,"date":"2025-05-08T09:58:16","date_gmt":"2025-05-08T02:58:16","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?p=24657"},"modified":"2026-10-13T07:38:09","modified_gmt":"2026-10-13T00:38:09","slug":"pendekatan-sensor-fusion-dan-pembelajaran-mesin-untuk-prediksi-tsunami-dalam-sistem-peringatan-dini-tsunami","status":"publish","type":"post","link":"https:\/\/stei.itb.ac.id\/en\/pendekatan-sensor-fusion-dan-pembelajaran-mesin-untuk-prediksi-tsunami-dalam-sistem-peringatan-dini-tsunami\/","title":{"rendered":"Sensor Fusion and Machine Learning Approach for Tsunami Prediction in a Tsunami Early Warning System"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1746667130109\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><span style=\"font-weight: 400;\">Peneliti: Astri Novianty, Carmadi Machbub, Sri Widiyantoro, Irwan Meilano<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1746667123811\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><span style=\"font-weight: 400;\">Two important issues related to the tsunami early warning system \/ <\/span><i><span style=\"font-weight: 400;\">tsunami early warning system <\/span><\/i><span style=\"font-weight: 400;\">(TEWS) is prediction accuracy and computational time optimization. These issues have driven research in several areas related to TEWS. This study attempts to find several alternative solutions to the first problem, namely prediction accuracy, using several approaches, namely the <\/span><i><span style=\"font-weight: 400;\">.<\/span><\/i><span style=\"font-weight: 400;\"> \/ machine learning and sensor fusion approaches.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A machine learning approach was used to enhance the system's inference capability in determining tsunami predictions based on seismic parameters, while a sensor fusion method was applied to increase the presence of relevant features for prediction input. Using both approaches, it is hoped that the performance of the tsunami prediction system in TEWS can be significantly improved.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Several machine learning methods have been explored and applied in many experiments in this study, such as ANN, SVM, and Gaussian distribution. The results show that accuracy tends to increase but continues to improve with the research. GPS data has also provided additional seismic features beyond those provided by seismometer data. This research is ongoing and is expected to provide many beneficial contributions to technological advancements in the field of disaster management research.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"557\" height=\"425\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/ProyekPenelitianInovasi-16.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Peringatan dini tsunami \/ tsunami early warning system (TEWS) menggunakan pembelajaran mesin\" \/><\/div><figcaption class=\"vc_figure-caption\">Peringatan dini tsunami \/ tsunami early warning system (TEWS) menggunakan pembelajaran mesin\n<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"Peneliti: Astri Novianty, Carmadi Machbub, Sri Widiyantoro, Irwan Meilano Dua masalah penting terkait sistem peringatan dini tsunami \/ tsunami early warning system (TEWS) adalah akurasi prediksi dan optimisasi waktu komputasi.\u00a0 [...]","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[911,17],"tags":[2770,2763],"class_list":["post-24657","post","type-post","status-publish","format-standard","hentry","category-kk-sistem-kendali-dan-komputer","category-research-2","tag-sdg-11","tag-sdg-9"],"_links":{"self":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/comments?post=24657"}],"version-history":[{"count":2,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24657\/revisions"}],"predecessor-version":[{"id":24676,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24657\/revisions\/24676"}],"wp:attachment":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=24657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/categories?post=24657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/tags?post=24657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}