{"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":"2025-05-08T10:12:25","modified_gmt":"2025-05-08T03:12:25","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;\">Dua masalah penting terkait sistem peringatan dini tsunami \/ <\/span><i><span style=\"font-weight: 400;\">tsunami early warning system <\/span><\/i><span style=\"font-weight: 400;\">(TEWS) adalah akurasi prediksi dan optimisasi waktu komputasi.\u00a0 Isu-isu tersebut mendorong penelitian yang dilakukan di beberapa bidang terkait TEWS.\u00a0 Studi ini mencoba menemukan beberapa alternatif solusi untuk masalah pertama, yaitu akurasi prediksi, dengan menggunakan beberapa pendekatan, yaitu pendekatan <\/span><i><span style=\"font-weight: 400;\">.<\/span><\/i><span style=\"font-weight: 400;\"> \/ pembelajaran mesin dan pendekatan fusi sensor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pendekatan pembelajaran mesin digunakan untuk meningkatkan kemampuan inferensi sistem dalam menentukan prediksi tsunami berdasarkan parameter seismik, sementara metode fusi sensor diterapkan untuk meningkatkan keberadaan fitur relevan untuk input prediksi.\u00a0 Dengan menggunakan kedua pendekatan tersebut, diharapkan kinerja sistem prediksi tsunami di TEWS dapat meningkat secara signifikan.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Beberapa metode pembelajaran mesin telah dieksplorasi dan diterapkan dalam banyak eksperimen dalam studi ini, seperti ANN, SVM, dan Distribusi Gaussian.\u00a0 Hasilnya menunjukkan bahwa akurasi cenderung meningkat tetapi masih terus membaik seiring dengan penelitian.\u00a0 Data GPS juga telah memberikan fitur seismik tambahan dari fitur yang disediakan oleh data seismometer.\u00a0 Penelitian ini masih berlangsung, dan diharapkan dapat memberikan banyak kontribusi manfaat untuk peningkatan teknologi di bidang penelitian manajemen bencana.<\/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 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