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All Journal ELKHA : Jurnal Teknik Elektro INOVTEK POLBENG Multitek Indonesia : Jurnal Ilmiah DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal INOVTEKSeri Elektro Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Proceeding Applied Business and Engineering Conference TANJAK : Jurnal Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika
Marzuarman, Marzuarman
Politeknik Negeri Bengkalis
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Proceeding Applied Business and Engineering Conference

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Perbandingan Metode Haar Cascade, YoloV3, dan TinyYoloV3 Dalam Mendeteksi Kendaraan Bermotor Berbasis Video Marzuarman; Stephan; Muharnis; Azizul; Doni Mirza Rinaldi; Bagas Prasetyo
ABEC Indonesia Vol. 10 (2022): 10th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

Motorized vehicles are one of the most important needs in everyday life. Every year in Indonesia there is always an increase in the number of motorized vehicles along with the increase in population. Many researchers in the field of information technology use image processing systems to investigate and develop systems that can be used on public roads, one of which is to detect motor vehicles. In general, the methods that are often used to detect objects are Haar cascade, YOLOV3, and TinyYOLOV3. In this study, a comparison was made, to determine the best accuracy of the three methods in detecting motorized vehicles. The test was carried out using Python 3.10 software that has been installed with OpenCV, where the test was carried out using a video with a duration of 1 minute 23 seconds which was downloaded from the youtube.com site. Based on the test results, the YOLOV3 method gets the best level of accuracy, which is 74%. For the Haar cascade method, the accuracy value is 41%, and TinyYOLOV3 produces an accuracy rate of 25%.
Penerapan Ais Transponder untuk Keselamatan Kapal Nelayan Supria, Supria; Romadhoni; Isna Yulia; Marzuarman; M Afridon; Hardiyanto
ABEC Indonesia Vol. 11 (2023): 11th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Fishermen in the Bengkalis Strait are one of the livelihoods of the Bengkalis residents. Many fishermen who go on cruises do not apply traffic rules in the waters so that accidents often occur in the waters. In this study, it is proposed to apply AIS Transponder for monitoring the security and safety of ships around Bengkalis waters. The developed AIS Transponder is capable of sending and receiving AIS data installed on ships. From the results of the trials that have been carried out, it shows that the AIS transponder can transmit AIS data to the Polbeng AIS receiver and can track nearby ships that have AIS devices.
Co-Authors Abdul Hadi Afridon, M Azizul Azizul, Azizul Bagas Prasetyo Budianto, Nirwan David Setiawan, David Doni Mirza Rinaldi Faizal, Wan M Faizi, M Nur Faizi, M Nur Faizi, M. Nur Faizi, Muhammad Nur Handayani, Sri Hardiyanto Heri Susanto Hikmatul Amri Isna Yulia Khairudin Syah Muhammad Arifin Muharnis Prasetyo, Bagas Ramadhan, M. Zaki Nawaf Rinaldi, Doni Mirza Romadhoni Sihotang, Hajijah Yusra Stephan Stephan Asril Stephan, Stephan Supria Supria Syindau Abdillah, M. Andrian Zulfahri, Zulfahri