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All Journal Proceeding Applied Business and Engineering Conference TANJAK : Jurnal Pengabdian Kepada Masyarakat
Doni Mirza Rinaldi
Politeknik Negeri Bengkalis
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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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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%.
Penggunaan Running Text Sebagai Media Informasi Jam Waktu Sholat Pada Musala Darul Ilmi Jurusan Teknik Perkapalan Politeknik Negeri Bengkalis Marzuarman; Stephan Stephan; Wan M Faizal; M Afridon; Nirwan Budianto; Azizul Azizul; Doni Mirza Rinaldi; Bagas Prasetyo
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 2 (2024): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/837e9539

Abstract

Jurusan Teknik Perkapalan adalah salah satu jurusan yang ada dikampus Politeknik Negeri Bengkalis. Jurusan Teknik Perkapalan Memiliki Musala yang baru dibangun dan diresmikan pada tanggal 8 Maret 2024 yang bernama Musala Darul Ilmi. Pada saat ini Musala Darul Ilmi belum memiliki media informasi jam waktu sholat secara otomatis dan juga media informasi jadwal imam dan muazin serta informasi keuangan. Hal tersebut sangat dibutuhkan untuk kelancaran proses ibadah. Namun dengan adanya masalah ini penulis memberikan solusi dengan membuatkan jam waktu sholat menggunakan running text dengan controller yang memiliki fitur bisa  secara otomatis menentukan jam waktu sholat berdasarkan garis lintang dan bujur. Selain itu jam controller ini dapat menampilkan kelender hijriah, buzzer otomatis ketika waktu sholat tiba, menampilkan pesan, jadwal imam dan muazin, menampilkan laporan keuangan, tartil otomatis, dan azan otomatis yang nantinya akan dipasang pada Musala Darul Ilmi Jurusan Teknik Perkapalan. Sehingga dengan adanya jam waktu sholat berbasis running text ini, semua informasi keagamaan dan ibadah bisa tersampaikan mudah dan otomatis.
Co-Authors Azizul Azizul Azizul Bagas Prasetyo M. Afridon Afridon Marzuarman Marzuarman, Marzuarman Muharnis Nirwan Budianto Stephan Stephan Stephan Wan M Faizal