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PENGEMBANGAN SISTEM INFORMASI UNTUK PENGARSIPAN DATA PED (PLANNING, ENGINNER, & DEPLOYMENT) DI TELKOM INDONESIA REGIONAL 1 SUMATERA Prayogi, Ahmad; Selian, Teguh Agara
Jurnal Media Teknik Elektro dan Komputer Vol 2 No 1 (2025): Metrokom : Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v2i1.103

Abstract

Digital transformation in data management has become a strategic necessity for telecommunications companies such as PT Telkom Indonesia, particularly in Regional 1 Sumatra. One of the challenges faced is the manual process of archiving PED (Planning, Engineering, & Deployment) data, which is prone to data loss, delayed access to information, and low operational efficiency. To address these issues, this study aims to develop a web-based data archiving system capable of managing PED data systematically, securely, and easily accessible by authorized users. The system development methodology used is Waterfall, starting from needs analysis, system design, implementation, to testing. The system was built using XAMPP as the development platform, PHP as the backend programming language, and MySQL as the database system. Testing was conducted using the Blackbox method to evaluate system functionality based on real-world user scenarios. The development results show that the system built is capable of effectively handling archiving processes, including document upload features, archive search, metadata input, and user access rights management. This system significantly improves work efficiency, recording accuracy, and data security. Thus, the PED archiving information system is expected to become a digital solution that supports operational transformation in Telkom Indonesia Regional 1 Sumatra.
Image Classification Based On Color Using Thresholding Method Selian, Teguh Agara; Akbar, Niko; Hidayat, M. Irfan
JITCoS : Journal of Information Technology and Computer System Vol. 1 No. 1 (2025): Volume 1 Number 1, June 2025
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/jitcos.v1i1.5

Abstract

This research aims to categorize images based on color using the method of thresholding. Image classification based on color plays a crucial role in various applications such as object detection, traffic monitoring, and medical image processing. The thresholding method is a popular approach used in image segmentation due to its effectiveness and computational efficiency. In this method, grayscale images are converted into binary images by determining a specific threshold value. This research utilizes the thresholding method to separate pixels based on their color intensity. The research methodology consists of several steps, including dataset collection, image pre-processing, color feature extraction, application of the thresholding method, and class labeling. The study's benefits include object recognition, cost and time reduction in image classification, and improved product quality and income for farmers.