This journal issue features a range of studies in information technology and computer science, covering internet network quality-of-service (QoS) analysis, the development of a web-based customer relationship management (CRM) system, machine learning-based classification of autism spectrum disorder and mental health conditions, and a Qwen-based question-answering system for Indonesian traditional recipes using retrieval-augmented generation (RAG). Other studies explore the application of Quick Sort and Binary Search algorithms for practical data management, event organizer scheduling information systems, explainable machine learning for identifying determinants of financial losses, and kidney disease classification using CT scan images. Overall, these articles emphasize the application of computational methods and artificial intelligence to address practical challenges across various domains.

This issue features nine scientific articles exploring developments in computer science and information systems, including machine learning for healthcare, retail segmentation, academic advising systems, sentiment analysis, IoT security, disease prediction, data privacy, and UI/UX design for public services. Collectively, these studies highlight the role of artificial intelligence, data analytics, computing algorithms, and information systems in improving decision-making, operational efficiency, information security, and digital service quality. The findings are expected to contribute to academic knowledge, support future research, and encourage effective, secure, and sustainable technological innovation. Furthermore, these studies demonstrate the importance of integrating emerging technologies with practical needs to develop innovative solutions across various sectors.

Issue Vol. 13 No. 2 presents research on computer science and information systems, covering information system development, algorithm implementation, technology acceptance, business process optimization, and IT governance. The articles explore various approaches, including MVC architecture, TAM, OBE-based evaluation, XGBoost classification, route optimization, and COBIT 2019 auditing. Overall, these studies highlight the role of information technology and computational methods in improving operational efficiency, service quality, data management, and decision-making. Furthermore, the findings provide valuable insights into the integration of innovative technologies and systematic evaluation methods to address organizational challenges. These contributions are expected to support future research, encourage technological innovation, and promote the development of effective, reliable, and sustainable information systems for diverse user needs.

This issue features scientific articles exploring various developments in computer science and information systems, including mobile applications for shuttle bus monitoring, breast cancer detection using deep learning, information system feasibility analysis, quick count optimization, information system interface design, decision-making methods for selecting optimal fishing hooks, official correspondence management systems, and cloud computing for disaster mitigation and recovery. Collectively, these studies highlight the application of artificial intelligence, data analysis, decision support systems, and cloud technologies in improving operational efficiency, system reliability, and service quality. The findings are expected to enrich academic knowledge, support future research, and encourage innovative technological solutions to address practical challenges across various sectors.

This issue features scientific articles exploring developments in computer science and information systems, including REST API implementation with JSON Web Token (JWT) for mobile-based KPI monitoring, quality management systems, waste data management, automated height measurement using Arduino and ultrasonic sensors, educational game development, web-based community health systems, medical record security through cryptography, and sampling optimization. Collectively, these studies highlight the application of software engineering, IoT, information security, and computational methods in improving system performance, data protection, and operational efficiency. The findings are expected to enrich academic knowledge, support future research, and encourage innovative technological solutions to address practical challenges across various sectors.

This issue features scientific articles exploring developments in computer science and information systems, including healthcare information system adoption, batik image classification using machine learning, coffee distribution optimization, mobile communication applications, automated fish feeding, e-commerce development, face recognition for home security, online patient satisfaction surveys, IoT-based robotic arm control, and educational game design for tourism promotion. Collectively, these studies highlight the application of artificial intelligence, software engineering, embedded systems, and computational methods in improving service quality, operational efficiency, security, and user engagement. The findings are expected to enrich academic knowledge, support future research, and encourage innovative technological solutions across various sectors.