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All Journal Dinamik Jurnal Ilmiah Dinamika Teknik Jupiter Proceeding SENDI_U Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Informatika dan Rekayasa Elektronik Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdi Insani Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Journal of Telecommunication, Electronics and Control Engineering (JTECE) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat AMMA : Jurnal Pengabdian Masyarakat Intechno Journal : Information Technology Journal
Eddy Nurraharjo
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Other

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Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

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Rancang Bangun Sistem Smart Trafic Light Deteksi Suara Sirine Kendaraan Darurat Metode DTW Studi Kasus: Sirine Pemadam Kebakaran Maharani, Jinoli Dyahayu; Nurraharjo, Eddy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i3.2233

Abstract

The progress of the times demands the active participation of all societal layers in the stream of technological advancements. This progress has given rise to the concept of a Smart City System. One manifestation of this smart city concept is the emergence of intelligent traffic light systems, often equipped with various sensors, including sound sensors. The use of sound sensors allows for the detection of emergency vehicle sirens. Among emergency vehicles, firefighting vehicles should be given the highest priority on the road. Based on this, the researchers developed a system using an Arduino UNO device. This system compares sirens' sounds with other noises and processes them to execute commands on the Arduino UNO. The utilization of the Mel-Frequency Cepstrum Coefficients (MFCC) and Dynamic Time Warping (DTW) algorithms as supporting decision-making components in the system has resulted in a recognition accuracy rate of 70%.
Co-Authors Abd. Rasyid Syamsuri Agung Prihandono Alimuddin Rizal Arief Jananto BHANU SRI NUGRAHA Budiarso, Zuly Budiarso Dewi Handayani Untari Ningsih Dwi Budi Santoso Dwi Budi Santoso Edy Winarno Elen Puspitasari Endang Lestariningsih Fatkhul Amin Felix Andreas Sutanto Handoko, Untung Dwi Heribertus Yulianton Herny Februariyanti Hersatoto Listiyono Itmamur Roghib Luthfiyan Jati Sasongko Wibowo Maharani, Jinoli Dyahayu Mardi Siswo Utomo Muji Sukur Mukhofifah, Mukhofifah Mulya Kurnia Kasanova Nofiyanto, Erwin Nurhidayat, Ahmad Nurrohim, Muhammad Saefurrohman Sanjaya, Mellynia Sari, Anisa Rachma Setyawan Wibisono Sujatmiko, Sri Tunjung Teguh Khristianto Vido Rizqy Setiardo Wafik Lazhuardian putra Selvia Wiwien Hadikurniawati Wiwik Handayani Yohanes Suhari Zuly Budiarso Zuly Budiharso