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All Journal Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Zidanul Akbar
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Computer Science & IT

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Sistem Informasi Surat Elektronik Badan Diklat Keagamaan Kota Medan Berbasis Web Menggunakan Penegembangan Waterfall Adelia Fairiza Putri; Cindy Aulia Amanda; Zidanul Akbar; Ziyad Habibul Mikraj
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 6 (2024): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i6.302

Abstract

Work Practice is a form of providing education and skills training that systematically and synchronously combines educational programs on campus and skills mastery programs obtained through working in the world of work, aimed at achieving a certain level of professional expertise. This work practice is part of an internship program implemented by the North Sumatra State Islamic University (UINSU) consisting of students from the Computer Science Study Program, Faculty of Science and Technology. North Sumatra State Islamic University (UINSU). The author was assigned to the Medan City Religious Education and Training Agency, one of whose duties was compiling and archiving documents. The author supervises and reviews the progress of structuring and writing documents at the Education and Training Agency. The method for implementing the internship/field work practice program (Magang) used by students is Project Based Learning (PBL) is a teaching method where students learn by being actively involved in projects in the real world and with personal meaning. This MBKM program internship activity results in the transfer of knowledge, transfer of skills, and transfer of new technology which will be useful for students as guidance and useful experience in the world of work in the future.
Deteksi Warna Dasar Menggunakan Metode Thresholding HSV dengan OpenCV Zidanul Akbar; Asrul Suwondo; Rizky Ramadhan; Abdul Halim Hasugian
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): Agustus : Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i3.1020

Abstract

Digital image processing is a rapidly developing branch of computer science and has many applications in everyday life. One of the fields that most often utilizes this technique is object detection and color identification in images and videos. This study specifically aims to implement the thresholding method in the HSV (Hue, Saturation, Value) color space to detect three basic colors, namely red, green, and blue, in digital images. The research process begins with uploading images using the Google Colab platform, a cloud-based computing environment that makes it easy for users to run Python programs without requiring additional software installation. After the image is uploaded, the next step is to convert it from the RGB (Red, Green, Blue) color space to the HSV color space. This conversion is important because the HSV color space is more suitable for use in the color segmentation process. The Hue value represents the type of color, Saturation shows the level of saturation, while Value describes the level of brightness. Once the image is in the HSV color space, the next step is to determine the HSV value range for each basic color. This range is determined based on experimental results and references from related literature. Using this range, masking is performed to extract the appropriate pixels so that only the red, green, or blue portions of the image are visible, while the other colors are reduced. The results show that the thresholding method in the HSV color space is capable of detecting primary colors with a good level of visual accuracy, especially in simple images with contrasting backgrounds. The implementation of this program is relatively lightweight, easy to run directly in Google Colab, and does not require high-spec hardware. Therefore, this method is very suitable for use as basic learning material for digital image processing, both for students and novice researchers.
Co-Authors Abdul Halim Hasugian Adelia Fairiza Putri Asrul Suwondo Cindy Aulia Amanda Rizky Ramadhan Ziyad Habibul Mikraj