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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Dinamisia: Jurnal Pengabdian Kepada Masyarakat The Indonesian Journal of Computer Science
Teuku Radillah
Institut Teknologi Mitra Gama
Computer Science & IT Electrical & Electronics Engineering Engineering Social Sciences Other

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Computer Knowledge Improvement Training Students Dropping Out of School in Buluh Apo Village: Pelatihan Peningkatan Pengetahuan Komputer Siswa Putus Sekolah Pada Desa Buluh Apo Teuku Radillah; Leonard Tambunan; Budy Satria; Irman Efendi; Chalida Hanum
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 6 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i6.15782

Abstract

Buluh Apo village is a village that is located far out of town Duri, however, the Head of Buluh Apo Village has a vision to develop his village through the implementation of computer technology science, so that this village also has the nickname Net Village, because it has an internet network developed with the community. The purpose of this service is a collaborative program between the Apo Buluh village apparatus and the AMIK Mitra Gama campus to improve the quality of computer science in the current pandemic (COVID-19) conditions which require students to study more online (online) and for students dropping out of school. can Buluh Apo Village is a village located far on the outskirts of Duri city, however, the Head of Buluh Apo Village has a vision to develop his village through the implementation of computer technology knowledge. The purpose of this service is a collaborative program between Buluh Apo village officials and the Mitra Gama Institute of Technology campus to improve the quality of computer science for dropout students to be able to take advantage of this training to provide skills in the computer field so that they can become entrepreneurs in the field of informatics so that they can still participate in advance Buluh Apo village. The training participants totalled 30 dropout students with the achievement of target material including an introduction to computers and Microsoft Office. In this computer introduction training the results of student participation were achieved with an attendance of85%, an increase in student knowledge reaching 75%, students' skills in using Ms Office reached 78%, the ability to use the internet increased by 87%, and the understanding of entrepreneurs in the field of informatics by 84%, and the development of hardware and multimedia reached 77%
Segmentasi Citra Menggunakan Metode Otsu dalam Pengenalan Pola Sederhana Teuku Radillah; Kiki Ameliza; Idir Fitriyanto
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3492

Abstract

Pengenalan pola (pattern recognition) adalah cabang ilmu dalam bidang artificial intellegence (AI) yang berkaitan dengan teknik atau algoritma untuk mengenal suatu pola tertentu. Pada penelitian ini untuk mengenal pola dasar tersebut menggunakan ektraksi fitur untuk mengklasifikasi pola menggunakan pengolahan citra. Ektraksi tersebut menggunakan metode otsu yang bertujuan untuk pembagian histrogram citra grey level secara otomatis, yaitu dengan melakukan preprocessing terlebih dahulu, yaitu mengkonversi citra RGB kebentuk citra grayscale. Adapun parameter yang menjadi acuan dalam pengenalan pola sederhana tersebut dapat dilihat dari hasil identifikasi gamabr pola pada perhitungan nilai area, perimeter, metric, eccentricity, centroid dan aspect ratio.
COMPARATIVE ANALYSIS OF CANNY, SOBEL, PREWITT AND ROBERTS EDGE DETECTION OPERATORS ON EYE IRIS IMAGES Teuku Radillah; Okta Veza; Sumijan Sumijan
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 10 No 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.5062

Abstract

The iris is a part of the human anatomy that can be used as a biometric identifier. Data obtained from the iris can be converted into information through iris image processing, and in order to obtain accurate iris pixel results, an edge detection operator is required that can provide detailed and good image quality effects. In this research, a comparative analysis of the Canny, Sobel, Prewitt and Roberts edge detection operators was carried out on iris images. The purpose of performing a comparative analysis of edge detection methods is to compare the detection results of each edge detection operator on iris recognition detected by each operator. The results of the comparison of edge detection methods using precision tables can be analyzed to show that the Canny edge detection operator provides better, smoother and sharper edge results in actual edge point detection, namely 0.357867, while Sobel =, 0.210212, Prewitt = 0.212452 and Roberts = 0.279196. From these results it can be concluded that the edge detection results provided by Sobel and Prewitt are less sharp and sensitive to noise, and the comparison results can vary depending on the intensity of the image and the image object being compared.
Co-Authors Budy Satria Chalida Hanum Idir Fitriyanto Irman Efendi Kiki Ameliza Leonard Tambunan Okta Veza Sumijan Sumijan