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All Journal Jurnal Informatika Upgris TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika PERAHU (PENERANGAN HUKUM) : JURNAL ILMU HUKUM
Wijaya, Ricky Junianto
Unknown Affiliation
Computer Science & IT Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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PERBANDINGAN ALGORITMA SOBEL, PREWITT, ROBERT, CANNY, KIRSCH, DAN LAPLACIAN OF GAUSSIAN DALAM DETEKSI TEPI PADA CITRA RONTGEN BATU SALURAN KEMIH Nugroho, Isaac Yeremia; Riti, Yosefina Finsensia; Wijaya, Ricky Junianto
TEKTRIKA Vol 9 No 2 (2024): TEKTRIKA Vol.9 No.2 2024
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i2.8059

Abstract

Urinary stones are a medical condition that occurs when the bladder cannot expel all the urine it contains, causing minerals in the urine to precipitate and harden. Several methods can be used to diagnose urinary stones, one of which in X-ray imaging. The results of X-ray images are usually blurry and have low contrast, making it difficult to read the edges of objects int the images. Therefore, edge detection in used, and in this study, six edge detection algorithms are employed to sharpen the edges of objects in an image, resulting in images with clear and sharp object edges. This study compares six edge detection algorithms: Sobel, Prewitt, Robert, Canny, Kirsch, and Laplacian of Gaussian on X-ray images of urinary stones. The research methodology involves collecting a dataset, preprocessing, converting images to grayscale, segmentation, and implementing the algorithms. The results of the edge detection algorithms are measured using MSE (Mean Squared Error) and PSNR (Peak Signal-to-Noise Ratio). The results show that the Canny algorithm has the highest average MSE of 3801.45 and the lowest average PSNR of 12.78, while the Sobel algorithm produces the worst results with the lowest average MSE of 3254.95 and the highest average PSNR of 13.72.Key Words: urinary stones, edge detection, grayscale, segmentation, MSE, PSNR
PERANCANGAN PROTOTYPE PENDAFTARAN SERVICE HANDPHONE BERBASIS WEBSITE MENGGUNAKAN MEDIA FIGMA Wijaya, Ricky Junianto; Nugroho, Isaac Yeremia; Alexander, Edwin
Jurnal Informatika UPGRIS Vol 10, No 1: Juni 2024
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v9i2.18017

Abstract

Abstract— The rapid evolution of information technology has revolutionized various aspects of daily life, particularly in the business domain. Ms. Joulla Mellani's mobile phone service business, situated in East Surabaya, strives to adapt to these changes. This project focuses on developing a Figma-based website prototype for efficient and accessible mobile phone service registration. Traditionally, promotional efforts were reliant on flyers, leading to inefficiencies. Customers faced challenges contacting the service, resulting in uncertainty about their queue status. The limited availability of the owner on WhatsApp further impeded service processes. The research, employing literature review, observation, and interviews, utilized the Waterfall method for website development. The outcome is a user-friendly website streamlining service registration, enhancing data management, and broadening promotional outreach. Both the business owner and customers will benefit from this platform. In conclusion, the Figma-based website design effectively addresses the business challenges faced by Ms. Joulla Mellani, optimizing the mobile phone service process. 
STRATEGI MENGHADAPI CYBERBULLYING DI MEDIA SOSIAL PADA MAHASISWA SEMESTER BARU DI INDONESIA Nugroho, Isaac Yeremia; Handoyo, Kevin; Wijaya, Ricky Junianto; Juniarto, Claudio Erlisto Candra; Mahendrasusila, Fernandi
PERAHU (PENERANGAN HUKUM) : JURNAL ILMU HUKUM Vol 13 No 1 (2025): PERAHU (PENERANGAN HUKUM) : Jurnal Ilmu Hukum
Publisher : Universitas Kapuas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51826/perahu.v13i1.1454

Abstract

Cyberbullying on social media has become a significant challenge for new semester students in Indonesia, who are still adapting to their new academic and social environments. A lack of awareness and skills in dealing with cyberbullying can negatively impact their mental health and academic performance. This study aims to explore strategies that students can apply in facing cyberbullying, both through preventive and responsive approaches. The research employs a qualitative approach using in-depth interviews and surveys conducted with new semester students at several universities in Indonesia. The findings indicate that students tend to adopt strategies such as limiting social media interactions, enhancing digital literacy, and seeking support from friends and family. The implications of this study are expected to provide recommendations for educational institutions in designing educational programs and policies to help students cope with challenges in the digital world.
Co-Authors Alexander, Edwin Handoyo, Kevin Juniarto, Claudio Erlisto Candra Mahendrasusila, Fernandi Nugroho, Isaac Yeremia Riti, Yosefina Finsensia