Article Per Year (5 Year)
p-Index From 2021 - 2026
9.482
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pseudocode Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Upgris PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer INTECOMS: Journal of Information Technology and Computer Science Antivirus : Jurnal Ilmiah Teknik Informatika JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Computer Science and Technology (JACOST) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Komputer, Informasi dan Teknologi Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JIMAKUKERTA JURNAL BESEMAH Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Dehasen Mengabdi Kreativitas Pada Pengabdian Masyarakat (Krepa) JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) JURDIASRA JCOSIS (Journal Computer Science and Information Systems)
Apridiansyah, Yovi
Universitas Muhammadiyah Bengkulu
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 87 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Applied Computer Science and Technology (JACOST)

 1 
Metode Otsu dan Mathematical Morphology Dalam Segmentasi Region Karakter Plat Nomor Kendaraan Yovi Apridiansyah; Rozali Toyib; Ardi Wijaya
Journal of Applied Computer Science and Technology Vol 3 No 1 (2022): Juni 2022
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v3i1.277

Abstract

The problem that affects the character segmentation step is the step before character segmentation, namely preprocessing character segmentation or called preprocessing. This poses are strongly influenced by plate lighting conditions, shadows against plates, plate image impurities, plate image resolution, character cutting accuracy, and speed in recognizing characters. In general, identification consists of 3 stages, namely detection, segmentation and recognition. In this study, the use of the otsu method is expected to detect the region on the vehicle license plate, the region in question is the first region to show the regional code, the second region for the registration number and the third region for the sub-region code. In the process, the results of the vehicle number plate detection trial to get a segmentation of 3 regions of the vehicle number plate character did not get the expected results. The results trial obtained the identification of the entire character of the vehicle number plate so that the characters on the vehicle number plate could not be distinguished between the front letter, number, and the back letter. So to maximize the desired results so that getting 3 regions of the otsu method segmentation process needs to be improved using the mathematical morphology method. This mathematical morphology method serves to read the character value of each pixel in the digital image which produces a comparison between the pixels in the image, so morphology techniques are appropriate when used to perform image processing in obtaining the region of the vehicle number plate. From the improvement of the otsu method, the results of the trial were improved. Of the 100 data samples tested, 96 data samples passed and 4 sample data failed, the accuracy value using MSE measurements from the tested data samples received a very high increase, which was 96%.
Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak Yovi Apridiansyah; Wijaya, Ardi; Pahrizal; Rozali Toyib; Arif Setiawan
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.790

Abstract

This study discusses the detection of motion of objects in video by utilizing the Frame difference method which aims to process video so as to produce Frames on moving objects. The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. In this study, the test data used used 20 video data samples with descriptions, 10 test data with bright quality (daytime) and 10 unlit test data (night) with the aim of being able to see how much the level of performance accuracy of the Frame difference method. The test results obtained 16 out of 20 test data that were successfully detected correctly (True Positive), there were 2 test data that resulted in a False Positive error, and 2 test data that resulted in a False Negative error. This shows that the Frame difference method can provide a fairly high level of accuracy in detecting moving objects in the video. The percentage level of accuracy with confussion matrix testing has a precission value of 88%, recal 88% and an accuracy value of 80%.
Co-Authors Abdullah, Dedy Ade Ferdiansyani Putra adindo, Yogi Afriko Manda Jaya Afrinando Kusnandi Agustio, Faidillah Ahmad Novianto Ali Sutan Pane Andika Kurniawan Andilala Anggara, Novio Angtyas Candra Pratama Apriansyah, Nugraha AR Wallad Mahfuzi Ardi wijaya Ardiansyah, Adidi Muhammad Ardoni, Yoan Ari Purjiawan Arif Setiawan Arif Setiawan Arjun Putra Nandika Audi Muhammad Jardillah Bima Satria Yudha Cecep Saputra Daffa Putra Sadhevi Dandi Sunardi Darnita , Yulia Darnita, Yulia Darsah Wendanado Daryono, Basofi Rachmadani David Chandra David Maria Vironika, Nuri Dede Erawan Dede Erwan Dede Maulana Ibrahim Dedi Arsela Dedy Abdullah Dedy Abdullah Deo Irwan Diana Diana Diana Diana Diana Dori Mabrori Eka Sahputra Fadlikal Ilham Aditma, Afredo Fahmi, Nofear Farid Achmadi Febitri, Nora Febrina, Nanda Felix, Igor Fitriani Fitriani Giova, Giova Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan Guntur Alam Harry Witriyono Harry Witriyono Hary Witriyono hidayah, agung kharisma Hidayat, Roki Hidayat, Wahid Ikbal, Fikri Indra Setiawan Irsyad Ahmad Fauzan Javier Rezon Gumiri Juhardi , Ujang Juhardi, Ujang Julfi Siswanto Juliza, Sita Khairullah Khairullah khairullah Kurniawan, Andika M. Dhaffa Giffari M. Gilang Ramadhan M. Sapta Firdaus Mahfuzhi, AR Walad Mahfuzi, AR. Wallad Marcelina Novi Zarti Marhalim Muhammad Agung Muhammad Aksyah Muhammad Febriansyah Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Miatsyah muhammad rizky, muhammad Muntahanah, Muntahanah Muntahannah Mutahanah Mutahanah Novian, Arif Tri Nugraha Apriansyah Nuri David Maria Veronika Nuri David Maria Veronika Nuri David Maria Veronika Padli, Zeko Pahrizal Pahrizal, Pahrizal Pariza, Rahmat Pindo Putra Pratama Putra, Erwin Dwika Putra, Riky Ade Putri Rahma Della R.S, Penti Septian Raffles, Richard Rahmat Pariza Rajes Andika Putra Ramadhan, Redho Putra Randi Trio Ardiansyah Rasyid, Muhammad Soelaiman Rensita Delpa Ria Oktarini Ria Parina Rifqo, Muhammad Husni Rina Yuniarti, Rina Ringgo Dwika Putra Ronaldo Kontesa Rozali Toyib Sahputra, Eka Sapitri Ramadhani Sastya Hendri Wibowo Shandra Nur’aini Sonita, Anisya sungkowo, belo Thio Ragil Alfares Toyib, Rozali Ujang Juhardi ujang juhardi Veronika, Nuri David Maria WALAD Walad Mahfuzhi Walad Mahfuzi Waluyo Wijaya, Ardi Wisnu Gusti Gusti Gusti Witriyono, Harry Yoga Muhamad Aryanto Yoga Saputra Yogi adindo Yogi Bakti Husada Yudha, Bima Satria Yulia Darmi Yulia Darnita yuliadarnita yuliadarnita Yuza Reswan Zarti, Marcelina Novi