Jurnal Teknologi Rekayasa Informasi dan Komputer (JTRIK) is a scientific journal published periodically, dedicated to the publication of research results, development, as well as theoretical and applied studies in the fields of information technology and computer engineering. The journal focuses on contemporary issues in Computer Science, Computer Networking, Multimedia, Artificial Intelligence, Data Mining, and the Internet of Things (IoT).

JTRIK aims to be a scholarly platform for academics, researchers, industry practitioners, and students to disseminate technological innovations and solutions relevant to the needs of the ever-evolving digital era.

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This journal accepts manuscripts in the form of original research articles, literature reviews, case studies, and technology development reports. All published articles undergo a rigorous peer-review process to ensure high quality and significant scientific contribution.

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(Available since 20/02/2026)

This issue presents a collection of research articles that demonstrate the application of machine learning, intelligent systems, web-based technologies, Geographic Information Systems (GIS), and Internet of Things (IoT) in addressing real-world problems in healthcare, agriculture, environmental monitoring, industry, and network management. The published studies include poverty mapping using K-Means and web-based GIS, diabetes mellitus classification using the K-Nearest Neighbors (KNN) algorithm, and a comparison of Fuzzy Tsukamoto and Certainty Factor methods for diagnosing depression levels. Additional contributions focus on the design and development of web-based flood-prone area mapping systems, monitoring and prediction systems for product returns, and IoT-based bird repellent monitoring devices in agriculture. This issue also features network monitoring using SNMP with Cacti and Telegram notifications, as well as paprika leaf disease classification using MobileNetV2-based deep learning and image augmentation. Overall, these articles highlight the importance of intelligent computational methods and modern information technologies in improving monitoring, prediction, classification, and decision-making processes across multiple domains.

Authors Affiliation:

Jurnal Teknologi Rekayasa Informasi dan Komputer - Politeknik Negeri Lhokseumawe 

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