{"id":24649,"date":"2025-05-08T09:52:14","date_gmt":"2025-05-08T02:52:14","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?p=24649"},"modified":"2025-05-08T10:12:00","modified_gmt":"2025-05-08T03:12:00","slug":"algoritma-fusi-multimodal-dan-sistem-dialog-berbasis-reinforcement-learning-dalam-interaksi-manusia-mesin","status":"publish","type":"post","link":"https:\/\/stei.itb.ac.id\/en\/algoritma-fusi-multimodal-dan-sistem-dialog-berbasis-reinforcement-learning-dalam-interaksi-manusia-mesin\/","title":{"rendered":"Multimodal Fusion Algorithm and Reinforcement Learning-Based Dialogue System in Human-Machine Interaction"},"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: Hanif Fakhrurroja, Carmadi Machbub, Ary Setijadi Prihatmanto, Ayu Purwarianti<\/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;\">This study develops a human-machine interaction system method. It involves several stages, including a multimodal activation system, methods for recognizing speech modalities, gestures, face detection and skeleton tracking, a multimodal fusion strategy, human intention understanding and an Indonesian dialogue system, and a method for developing machine knowledge and appropriate responses. This research contributes to a more user-friendly and natural human-machine interaction system using a multimodal fusion-based system. The average accuracy rates of multimodal activation, dialogue system testing using Indonesian gesture recognition interaction, and multimodal fusion were 87.42%, 92.11%, 93.46%, and 93%, respectively. The user satisfaction rate for the developed multimodal recognition-based human-machine interaction system was 95%. According to 76.2% of users, this interaction system felt natural, while 79.4% agreed that the machine responded well to their wishes.<\/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=\"562\" height=\"351\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/ProyekPenelitianInovasi-14.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Human-machine interaction system using multimodal fusion based system\" \/><\/div><figcaption class=\"vc_figure-caption\">Human-machine interaction system using multimodal fusion based system<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"Peneliti: Hanif Fakhrurroja, Carmadi Machbub, Ary Setijadi Prihatmanto, Ayu Purwarianti Studi ini mengembangkan metode sistem interaksi manusia-mesin. Ini melibatkan beberapa tahap, termasuk sistem aktivasi multimodal, metode untuk mengenali modalitas bicara, [...]","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[911,17],"tags":[],"class_list":["post-24649","post","type-post","status-publish","format-standard","hentry","category-kk-sistem-kendali-dan-komputer","category-research-2"],"_links":{"self":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24649","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=24649"}],"version-history":[{"count":2,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24649\/revisions"}],"predecessor-version":[{"id":24673,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24649\/revisions\/24673"}],"wp:attachment":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=24649"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/categories?post=24649"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/tags?post=24649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}