{"id":100300,"date":"2025-04-11T19:43:07","date_gmt":"2025-04-11T12:43:07","guid":{"rendered":"https:\/\/www.its.ac.id\/news\/?p=100300"},"modified":"2025-04-11T19:43:07","modified_gmt":"2025-04-11T12:43:07","slug":"tingkatkan-keselamatan-jalan-doktor-its-inovasikan-model-prediksi-pejalan-kaki","status":"publish","type":"post","link":"https:\/\/www.its.ac.id\/news\/tingkatkan-keselamatan-jalan-doktor-its-inovasikan-model-prediksi-pejalan-kaki\/","title":{"rendered":"Tingkatkan Keselamatan Jalan, Doktor ITS Inovasikan Model Prediksi Pejalan Kaki"},"content":{"rendered":"
\"Dr
Dr Hanugra Aulia Sidharta ST MMT saat mempresentasikan hasil disertasinya pada promosi doktor baru di Departemen Teknik\u00a0Elektro\u00a0ITS<\/figcaption><\/figure>\n

Kampus ITS, ITS News \u2014<\/strong> Menyeberang jalan menjadi momen berisiko bagi pejalan kaki karena mereka tidak memiliki alat keselamatan. Berangkat dari masalah tersebut, lulusan doktor dari Departemen Teknik Elektro<\/a> Institut Teknologi Sepuluh Nopember (ITS)<\/a> Dr Hanugra Aulia Sidharta ST MMT menggagas model prediksi perilaku pejalan kaki untuk diintegrasikan ke kendaraan pintar.<\/p><\/blockquote>\n

Hanugra memaparkan bahwa kendaraan pintar telah dilengkapi fitur keselamatan dalam Advanced Driver Assistance Systems (ADAS) untuk meminimalisasi kecelakaan lalu lintas. Namun, menurutnya, teknologi ini belum optimal di area padat karena pola gerak pejalan kaki yang tidak teratur terutama ketika menyeberang. \u201cPerubahan formasi sesuai kecepatan, arah, dan interaksi sosial menyulitkan deteksi,\u201d tambah lelaki kelahiran Malang tersebut.<\/p>\n

Untuk mengatasi tantangan ini, Hanugra mengembangkan model prediksi perilaku pejalan kaki yang lebih efisien dan terjangkau untuk diintegrasikan ke dalam kendaraan pintar. Model ini tidak hanya meningkatkan respons sistem transportasi terhadap pergerakan pejalan kaki, tetapi juga mendukung Sustainable Development Goals (SDG)<\/a> poin 11 mengenai kota dan komunitas aman dan berkelanjutan.<\/p>\n

\"Dr
Dr Hanugra Aulia Sidharta ST MMT selepas mempresentasikan hasil risetnya pada IEEE Region 10 Conference\u00a0di\u00a0Thailand<\/figcaption><\/figure>\n

Dalam penjelasannya, alumnus S2 Manajemen Teknologi ITS<\/a> tersebut menyebutkan bahwa model ini mengandalkan fitur kinematik angular untuk menganalisis gerakan sendi pejalan kaki serta fitur kerapatan spasial untuk mengenali pola pergerakan kelompok. Dengan menelusuri perubahan sudut pada sendi kaki dan kepadatan antarindividu, sistem ini dapat memperkirakan apakah sekelompok pejalan kaki sedang bersiap untuk menyeberang atau tidak.<\/p>\n

Lebih lanjut, Hanugra menggunakan dataset<\/em> Joint Attention in Autonomous Driving (JAAD) untuk menganalisis bagaimana kelompok pejalan kaki membuat keputusan menyeberang. Model Multi Input Single Output (MISO) dalam penelitian ini mampu menggabungkan banyak faktor seperti kecepatan dan arah gerak \u201cMISO juga dapat menganalisis postur tubuh untuk meningkatkan akurasi prediksi,\u201d ujarnya.<\/p>\n

Dengan potensinya dalam mendukung sistem kendaraan otonom dan ADAS, penelitian ini diharapkan dapat membantu menekan angka kecelakaan lalu lintas, khususnya yang melibatkan pejalan kaki. Hanugra berharap inovasi ini tidak hanya meningkatkan keselamatan, tetapi juga mendorong efisiensi dalam transportasi. \u201cSelain itu, riset ini bisa menjadi pijakan saya dalam mengembangkan riset lebih lanjut,\u201d tutupnya optimistis. (HUMAS ITS)<\/strong><\/p>\n

 <\/p>\n

Reporter: Naurah Fitri<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Kampus ITS, ITS News \u2014 Menyeberang jalan menjadi momen berisiko bagi pejalan kaki karena mereka tidak memiliki alat keselamatan. Berangkat dari masalah tersebut, lulusan doktor dari Departemen Teknik Elektro Institut Teknologi Sepuluh Nopember (ITS) Dr Hanugra Aulia Sidharta ST MMT menggagas model prediksi perilaku pejalan kaki untuk diintegrasikan ke kendaraan pintar. Hanugra memaparkan bahwa kendaraan […]<\/p>\n","protected":false},"author":397,"featured_media":100302,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_joinchat":[],"footnotes":""},"categories":[14,12,3747],"tags":[1951,1746,3550],"class_list":["post-100300","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-berita-utama","category-headline","category-sustainable-cities-communities","tag-ann","tag-humas-its","tag-nor"],"yoast_head":"\nTingkatkan Keselamatan Jalan, Doktor ITS Inovasikan Model Prediksi Pejalan Kaki - ITS News<\/title>\n<meta name=\"description\" content=\"Doktor Departemen Teknik Elektro ITS Dr Hanugra Aulia Sidharta ST MMT menggagas model prediksi perilaku pejalan kaki\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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