Background of study: Electronic portfolios (e-portfolios) have become vital tools for students to document learning and build professional identity. Yet, many existing platforms are hindered by technical complexity, limited personalization, and low engagement.

Aims and scope of paper: This paper introduces a personalized e-portfolio system designed to overcome these issues by applying agile and user-centered approaches, focusing on usability and adaptability in higher education.

Methods: The system was developed using HTML, CSS, JavaScript, PHP, and phpMyAdmin through six agile phases: planning, design, development, testing, deployment, and review. User needs were gathered from students and lecturers, while 30 students evaluated the system using the Website Analysis and Measurement Inventory (WAMMI) across five usability factors.

Result: Usability testing showed high satisfaction. Learnability (4.47), controllability (4.22), and efficiency (4.17) scored the highest, indicating that the system is intuitive and effective. Participants valued its role in reflection and personal branding, while suggesting improvements in visual design, customization, and integration with platforms like LinkedIn.

Conclusion: The study confirms that agile and user-centered design can produce an adaptable e-portfolio system that enhances students’ professional growth and provides a scalable model for higher education institutions.

Background of study: Industrial training is essential for bridging academic knowledge and workplace practice, equipping students with technical and soft skills required for future employment. However, traditional documentation methods such as manual logbooks are often inefficient, error-prone, and limit effective supervision and timely feedback.

Aims and scope of paper: This paper presents the development of the Web-Based Industrial Training Student Activity Management System (WIT), designed to streamline industrial training management at the School of Computing, Universiti Utara Malaysia. The system aims to enhance communication, ensure accurate reporting, and support sustainable digital supervision.

Methods: The WIT system was developed using the Waterfall Model, with stakeholder input incorporated at each stage of requirements, design, development, testing, and maintenance. Usability testing was conducted with 30 participants (students and staff) using the WAMMI framework, which evaluates five key usability dimensions.

Result: The evaluation results demonstrated high levels of user satisfaction across all metrics: Attractiveness (91.67%), Controllability (97.5%), Helpfulness (94.17%), Efficiency (92.5%), and Learnability (96.67%). These findings confirm that WIT provides an effective, user-friendly platform for activity logging, reporting, and supervision.

Conclusion: WIT successfully addresses challenges in traditional training management by promoting transparency, accountability, and efficient supervision. The system contributes to ICT-driven educational innovation and has strong potential for future scalability, including mobile integration and advanced analytics.

Background of study: The increasing demand for intelligent and responsive digital services in the public sector has encouraged government institutions to integrate artificial intelligence into their service systems. Social security agencies in Indonesia require an innovative solution to deliver faster, more accurate, and accessible information to citizens.

Aims and Scope of Paper: This study aims to design and implement a Gemini API-based chatbot integrated with a MySQL database to enhance social security services through natural and interactive communication. The chatbot was developed during an internship program at the Social Security Office (BPJS Ketenagakerjaan) Medan Kota branch.

Methods: The system was developed using Natural Language Processing (NLP) capabilities of the Gemini API to process user input and retrieve structured data from a MySQL database. An admin dashboard was built with the Laravel framework to manage PDF uploads, perform text extraction, and handle user queries in real time.

Result: Testing showed that the chatbot could effectively respond to general and data-driven queries, extract and analyze uploaded documents, and improve response time compared to traditional service channels. The integration of Gemini API and MySQL ensures scalability, accuracy, and secure data management.

Conclusion: The implementation of a Gemini API-based chatbot integrated with a MySQL database demonstrates how AI-driven conversational systems can modernize public services. It enhances operational efficiency, accessibility, and user satisfaction, supporting the digital transformation of social welfare institutions in Indonesia.

Background of Study: Ensuring high-quality data is essential for organizations that depend on analytics, automation, and regulatory compliance.

Aims and Scope of Paper: This paper explores the foundational concepts and evolving practices of two interrelated capabilities: data quality measurement and data quality monitoring. While measurement focuses on quantifying attributes such as accuracy, completeness, consistency, and timeliness, monitoring emphasizes the continuous detection and alerting of anomalies during data operations.

Methods: This paper examines the application of frameworks like Total Data Quality Management (TDQM), ISO 8000, and Data Management Association Data Management Body of Knowledge (DAMA DMBOK), alongside emerging tools such as rule-based engines, metadata-driven platforms, and AI-driven anomaly detection systems.

Results: Findings reveal a persistent gap in systems that integrate both measurement and monitoring effectively, hindering long-term data governance. This paper discusses a case study of the Data Quality framework implementation in the Healthcare sector. It was found that the healthcare organization implemented the Total Data Quality Management (TDQM) framework and Apache Griffin to ensure the accuracy, completeness, consistency, timeliness, and validity of clinical and IoT data through continuous monitoring, automated validation, and anomaly detection. Governance mechanisms aligned with ISO 8000 and HIPAA standards ensured full compliance, traceability, and accountability across all data quality and auditing processes. This study contributes to a deeper understanding of how integrated data quality practices can support digital transformation and operational resilience across industries.

Conclusion: The paper concludes by recommending the adoption of continuous quality measurement practices aligned with governance policies and supported by both human expertise and automation, arguing that data quality must be embedded as a dynamic and strategic function within the digital enterprise. While measurement emphasizes the quantification of data attributes such as accuracy, completeness, consistency, and timeliness, monitoring focuses on the continuous detection and alerting of data anomalies during data operations.

Background of study: Ensuring the proper functioning of the Flight Management System (FMS) is crucial for flight safety, particularly during VOR Operational Checks. Jitter in the FMS can disrupt navigation and compromise the accuracy of flight operations. During an On-the-Job Training (OJT) program at the Balai Besar Kalibrasi Fasilitas Penerbangan (BBKFP), jitter was identified in the FMS of a Beechcraft King Air 350i during a VOR Operational Check using the AeroFlex IFR-4000.

Aims and scope of paper: This paper aims to analyze and identify the cause of FMS jitter observed during VOR Operational Checks on the Beechcraft King Air 350i using the AeroFlex IFR-4000. The scope of the study is limited to the analysis of jitter occurrence during the VOR Operational Check process.

Methods: A qualitative descriptive method was applied by analyzing data obtained from direct observation of the VOR Operational Check and referencing the aircraft maintenance manual. The analysis particularly examined the relationship between RF signal strength from the AeroFlex IFR-4000 and the occurrence of FMS jitter.

Result: The study found that FMS jitter during the VOR Operational Check was caused by low RF signal levels generated by the AeroFlex IFR-4000. Adjusting the RF signal level from -10 dBm to -5 dBm successfully eliminated the jitter issue.

Conclusion: FMS jitter has a direct impact on navigational accuracy and thus requires immediate attention during operational checks. This research emphasizes the importance of ensuring adequate RF signal strength in order to prevent FMS jitter, thereby maintaining reliable navigation and flight safety.