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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JRTI (Jurnal Riset Tindakan Indonesia) Diklat Review : Jurnal manajemen pendidikan dan pelatihan Jurnal Teknologi Dan Sistem Informasi Bisnis Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Kalbiscientia Jurnal Sains dan Teknologi JUPADAI : Jurnal Pengabdian Kepada Masyarakat SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science
Noviardi, Refli
Institut Teknologi Batam
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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The Analysis of Dilation Morphology for Quality Improvement of the Edge Detection Imagery on Batik Patterns using Prewitt Operator and Laplacian of Gaussian Muhammad Abrar Masril; Refli Noviardi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.397 KB) | DOI: 10.29207/resti.v4i6.2601

Abstract

The results of the edge detection process using several operators are not yet optimal. Therefore we need a method to improve the quality of edge detection images, the method used in this study is morphology dilation. The results of testing the improvement of image quality using 10 batik patterns, resulting in an accuracy level on Laplacian of Gaussian operators is 80% and for Prewitt operators is 60%. In the process of improving the edge detection quality, Morphology Dilation can connect broken edges using structuring elements. therefore it can improve the quality of edge images.
Application of YOLOv8 Algorithm for Coral Reef Disease Detection as an Effort to Prevent Marine Habitat Damage in Batam Rifa'atul Mahmudah Burhan; Refli Noviardi; M Abrar Masril; Firmansyah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6062

Abstract

Research in 2019 in Batam City showed that out of 19 coral reef fisheries support facilities, 16 were declared not good. Coral reef damage increased from 36.28% to 39.44%. This is due to the threat of coral reef damage due to international shipping lane areas, human activities such as destructive fishing, pollution, sedimentation, and global warming. These threats can cause coral diseases such as black band disease (BBD), brown band disease (BrB), Bleaching Coral, and yellow band disease (YBD). The Underwater Photo Transect (UPT) method collects data in the field in the form of underwater photos and analyzes them to obtain quantitative data. This method has a weakness, namely the low level of accuracy in detecting coral reef diseases. This study proposes coral reef disease detection using the YOLO model YOLO8l, YOLO8x, and YOLO8m. The results of the model evaluation test with a threshold value of 0.5 to 0.95 against the test data show that the three models can detect coral reef diseases with an accuracy of 99%. These results prove that the YOLOv8 model in this study is suitable for the real-time detection of coral reef diseases to replace the Underwater Photo Transect (UPT) method, which has low accuracy. Applying the YOLOv8 method will help Prevent Marine Habitat Damage in Batam City.
Co-Authors Abrar, Mohammad Masril Alvendo Wahyu Aranski Anip Febtriko ANIP FEBTRIKO Burhan, Rifatul Mahmudah Burhan, Rifa’atul M. candra, joni eka Caniago, Deosa Putra Dwipananda, Rizki Fadel Eko Prasetyo, Stefanus Firmansyah Fryonanda, Harfebi Guslendra Guslendra Jufri, Muhamaad Kurnia AR, Harlan M Abrar Masril Mhd Adi Setiawan Aritonang Mohammad Jufri Muhammad Abrar Muhammad Abrar Masril Nasution, Nadia Widari Pohan, Nurmaliana Putra, Yeviki Maisyah Randa, Dimas Dwi Rifa'atul Mahmudah Burhan Rifa’atul Mahmudah Burhan Rini Sovia Rushadi Tri Rahayuningsih Yeviki Maisyah Putra Zulfitri Yani