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Azizul
Politeknik Negeri Bengkalis
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Student Calling Machine When After School by Whatsapp Text Message Syaiful Amri; Syahrizal; Khairudin Syah; Azizul
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.443 KB)

Abstract

Crowds still have the potential to occur during the implementation of 100 percent face-to-face learning. School residents, especially students, still find it difficult to keep their distance from each other and that happens especially when it's time to go home from school. To overcome this condition, schools are moving quickly to find solutions. For example, the education unit made an alternative to prevent crowds. Namely providing a special waiting area for students, chairs lined up in the school hallway. The children sat while waiting for their parents to come pick them up. As soon as the parents arrive, the student is called over the loudspeaker, and so on. However, this method is not effective enough to reduce the crowd. Because at the time of calling the students who were picked up, the officer (teacher picket) was overwhelmed to recognize the parents or guardians of the students who were picking up the call by loudspeaker, due to the large number of students there could also be a change in the person who picked up the previous day.
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 Teknologi Garis Gawang Untuk Mendeteksi Bola Gol Atau Keluar Lapangan Berbasis Computer Vision Muhammad Arkan Ramadhan; Marzuarman; Azizul
INOVTEK - Seri Elektro Vol. 8 No. 1 (2026): Juni
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/0wf7kc29

Abstract

Teknologi garis gawang merupakan salah satu inovasi yang dikembangkan untuk meningkatkan akurasi pengambilan keputusan dalam pertandingan sepak bola, khususnya dalam menentukan apakah bola telah melewati garis gawang dan sah dinyatakan sebagai gol. Penelitian ini bertujuan merancang dan mengimplementasikan sistem deteksi bola berbasis computer vision yang mampu bekerja secara real-time menggunakan integrasi perangkat keras dan perangkat lunak. Sistem menggunakan dua kamera beresolusi tinggi yang berfungsi untuk memantau area lapangan dan area gawang, serta mini PC sebagai pusat pemrosesan data. Perangkat lunak dikembangkan menggunakan bahasa pemrograman Python dan pustaka OpenCV. Metode yang diterapkan meliputi segmentasi warna HSV untuk mendeteksi objek bola berdasarkan karakteristik warnanya dan Hough Circle Transform untuk mengenali bentuk lingkaran secara lebih akurat. Area lapangan dan gawang didefinisikan dalam bentuk poligon melalui antarmuka grafis berbasis PyQt5 yang juga menampilkan status bola secara visual. Pengujian dilakukan pada lapangan mini dengan berbagai skenario, meliputi variasi posisi bola, kondisi pencahayaan, dan keberadaan objek penghalang. Hasil pengujian menunjukkan bahwa sistem mampu mengklasifikasikan status bola menjadi “Dalam Lapangan”, “Keluar Lapangan”, “Gol Valid”, dan “Gol Tidak Valid” dengan tingkat akurasi sebesar 82% dari 11 kali percobaan. Faktor yang memengaruhi kesalahan deteksi adalah pencahayaan tidak stabil, gangguan objek lain, dan pengaturan parameter HSV yang belum optimal.
Penggunaan Running Text Sebagai Media Informasi Jam Waktu Sholat Pada Masjid Baitul Muttaqin Desa Pematang Duku Timur Marzuarman; Stephan; Azizul
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 6 No 2 (2025): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/v387m979

Abstract

Masjid Baitul Muttaqin di Desa Pematang Duku Timur menjadi pusat kegiatan ibadah dan sosial keagamaan bagi masyarakat setempat. Namun, dalam observasi yang dilakukan, ditemukan bahwa masjid ini belum memiliki sistem informasi yang tepat untuk menampilkan waktu sholat secara akurat dan real-time. Untuk mengatasi masalah ini, dilakukan pengabdian dengan menyediakan sistem running text yang dapat menampilkan waktu sholat otomatis serta informasi lainnya seperti jadwal imam dan muazin, serta laporan keuangan masjid. Metode yang digunakan meliputi desain, perakitan, dan pemasangan sistem running text yang terintegrasi dengan aplikasi Android untuk pembaruan jadwal secara langsung. Kegiatan ini juga mencakup pelatihan kepada pengurus masjid untuk memastikan kelangsungan operasional sistem secara mandiri. Hasil dari kegiatan ini diharapkan dapat meningkatkan ketepatan waktu ibadah, kenyamanan jamaah, serta mendukung transparansi pengelolaan keuangan masjid.
Co-Authors Bagas Prasetyo Doni Mirza Rinaldi Khairudin Syah Marzuarman, Marzuarman Muhammad Arkan Ramadhan Muharnis Muharnis, Muharnis Stephan Syahrizal Syahrizal Syaiful Amri