Journal of Information Systems and Informatics (Journal-ISI)
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Design and Implementation of a Stock Purchase System for Printing Businesses Using the Waterfall Method
Full text linkEfficient stock availability is essential for the seamless operation of business processes within a company. However, stock management often encounters several critical challenges, including discrepancies between warehouse inventory and logbook records, as well as mismatches between ordered and received quantities. These issues frequently lead to overstocking or stockouts overstocking increases operational costs and risks quality degradation or expiration of goods, while stockouts disrupt sales and customer service. To address these challenges, this study proposes the design of a stock purchasing management application aimed at optimizing inventory tracking and enhancing operational efficiency within a printing shop. The system is developed using the Waterfall methodology, a structured software development model that helps minimize errors throughout the design process. To validate the system's functionality, black box testing is employed, ensuring that the application performs as intended. The resulting application offers an effective solution to stock management issues, reducing inventory imbalances and supporting more efficient business operations
Mitigating Online Banking Fraud Using Machine Learning and Anomaly Detection
Full text linkOnline banking fraud has become increasingly prevalent with the widespread adoption of digital financial services, necessitating advanced security solutions capable of detecting both known and emerging threats. This paper presents a robust machine learning framework that integrates anomaly detection with network packet analysis to mitigate fraudulent activities, focusing particularly on Distributed Denial of Service (DDoS) attacks. The key contribution is an ensemble model combining Isolation Forest and K-means clustering, which achieves 98% accuracy and 98% F1-score in anomaly detection while reducing false positives to 2% which is a critical improvement for operational deployment in banking systems. The framework’s semi-supervised architecture enables zero-day fraud detection without reliance on labeled attack data, addressing a fundamental limitation of signature-based systems. By leveraging feature optimization (PCA/t-SNE) and real-time processing capabilities, this solution offers financial institutions a practical, adaptive defense mechanism against evolving cyber threats. The results demonstrate significant potential for integration into existing banking security infrastructures to enhance fraud prevention with minimal disruption
Career Preference-Personality Mismatch: Leveraging the RIASEC Model in IT-Driven Career Guidance
Full text linkWhereas choosing a career is a critical life decision, career decision-making process among secondary school students involves misalignment between students’ aspirations and their aptitudes. This study examines the mismatch between career preferences and personality profiles of 717 Ugandan Advanced level and university students from 15 secondary schools and 1 university in Central and Western Uganda. Holland's RIASEC model was used to determine career preferences and determined personality through a 42-item inventory. Statistical analysis in SPSS indicated a substantial misalignment: while nearly 50% of students preferred Investigative or Realistic careers such as engineering and medicine, only 28% demonstrated personality congruence with their preferences. Conversely, students with Social-dominant personalities, rarely selected careers matching this orientation. The overall findings demonstrate a weak positive relationship (Kendall's τ = 0.394) between students’ career preferences and personalities. These results challenge conventional personality-driven career guidance systems, demonstrating their limited applicability in Uganda. Our key contribution lies in transforming mismatches into actionable insights, proposing a hybrid framework that dynamically weights RIASEC profiles against local opportunity data and student aspirations, offering a scalable solution for low-resource educational contexts
Maternal and Child Health Services Mobile Application Prototype: A Case Study of Puskesmas Sungai Duren Muara Enim Regency
Full text linkThe Sungai Duren Community Health Center (Puskesmas), located in Muara Enim Regency, provides essential maternal and child health services. Currently, patient registration and data management are conducted manually using patient data books, leading to inefficiencies, errors, and data loss. This research aims to develop a UI/UX mobile application that enhances maternal and child health services at the health center. The study employs the Design Sprint 2.0 methodology, a rapid, iterative, and user-centered design approach consisting of five stages: Understand, Define, Decide, Prototype, and Test. The design of the application was created using Figma, and its effectiveness was evaluated through usability testing, using the System Usability Scale (SUS) and Net Promoter Score (NPS). The results of the study show that the application improves operational efficiency, enhances user satisfaction, and provides better access to health data, demonstrating the potential for scalable and replicable solutions in rural and underserved healthcare settings
Systematic Review of Augmented Reality Applications in Wayang Heritage Preservation
Full text linkThis study presents a systematic literature review on Augmented Reality (AR) in Wayang from 2020 to 2025. AR has become an innovative solution that combines education and entertainment to increase the engagement of the younger generation and expand access to traditional Wayang art. This study examines the trend of AR in Wayang, including design approaches and user interaction strategies, as well as the benefits and challenges of implementing this technology. It also identifies research gaps and future development directions. This review discusses explicitly the application of AR to various forms of Wayang, including Wayang Kulit, Wayang Golek, and other traditional variants, while excluding Virtual Reality (VR) and other digital art forms. The results indicate that AR applications based on mobile platforms with gesture interaction and gamification effectively enrich the user experience in digital Wayang performances. However, significant challenges related to technological limitations, cultural sensitivity, and involvement of indigenous communities still need to be overcome. This study recommends a multidisciplinary and collaborative approach to developing AR Wayang, enabling authentic and sustainable cultural preservation. These findings are expected to serve as the basis for inclusive digital cultural innovation, which will have a positive impact on preserving Wayang's cultural heritage
Enhancing IT Service Desk for Hybrid Work: Insight from a TOE and TTF Case Study
Full text linkAdopting hybrid work has brought new challenges of IT service desks in small companies with limited resources. This study focuses on a software company in Jakarta with 15 employees, exploring how its size influences the ability to resolve issues, manage tickets, and keep both remote and on-site staff satisfied. Utilizing the Technology-Organization-Environment (TOE) Framework and the Task-Technology Fit (TTF) Model, we investigated ticket records, surveyed 13 employees, and conducted group discussions for deeper analysis. On average, the initial response time was 3.5 hours, but remote staff often faced slower resolutions, averaging 3.8 hours compared to 3.2 hours for on-site employees. The most common problems were connectivity issues, which made up 40 percent of tickets, and login and access challenges, which made up 30 percent. Feedback from a Survey indicated moderate satisfaction with most ratings between 3 and 4 on a 1–5 scale, with gaps in communication and guidance, particularly for remote workers being identified. We suggest refined troubleshooting, enhanced communications, and simplified tracking methods for monitoring issues (real time) to overcome these challenges. These improvements may allow small businesses to make the most of IT support, minimize recurring issues and better accommodate hybrid workplace needs
Performance Analysis of Convolutional Neural Network in Pempek Food Image Classification with MobileNetV2 and GoogLeNet Architecture
Full text linkThis research develops a pempek food image classification system using two Deep Learning architectures, namely MobileNetV2 and GoogLeNet. The dataset consists of five types of pempek with a total of 446 images, which are divided for training (70%), validation (15%), and testing (15%). The model was evaluated based on accuracy, precision, recall, and F1-score. The results showed that GoogLeNet achieved a validation accuracy of 96.21%, higher than MobileNetV2 which was only 70.58%. GoogLeNet is also more stable in convergence and more accurate in recognizing different types of pempek. This research shows that GoogLeNet is more optimal for pempek classification. In the future, this research can be extended by adding more datasets, exploring more sophisticated models, and developing mobile or web-based applications
Deploying a GIS for Enhancing Clinic Accessibility in Indonesia: An Agile QGIS Approach
Full text linkHealth is a fundamental necessity for all living beings, and clinics represent one of the most accessible healthcare facilities for communities. The spatial distribution of clinics can be effectively analysed and visualized through a Geographic Information System (GIS). This study proposes the development of a web-based clinic GIS for Indonesia using Quantum GIS (QGIS) software, implemented through the Agile methodology. The integration of Agile practices ensures that the system is accurate, adaptable, and responsive to evolving user needs. The resulting GIS website was successfully developed and tested, achieving a usability score of 88.76%, with effectiveness, efficiency, and satisfaction ratings of 91%, 90%, and 85%, respectively. The platform aims to support policymakers and healthcare providers in gaining a deeper understanding of health service distribution, ultimately promoting more equitable, data-driven decision-making in healthcare planning and resource allocation
The Role of Non-State Actors in Climate Governance: Contributions, Challenges and Future Directions
Full text linkSince anthropogenic causes accelerate rapid climate change with intensifying the adverse impacts of climate induce hazards, Non-State Actors (NSAs) have emerged as pivotal actors in climate governance. The aim of this research is to explore the diverse roles and contributions of NSAs in climate governance and analyze the challenges and institutional barriers they encounter with proposing some recommendations to strengthen their impact. It employs a qualitative approach where data were collected through KII method. Thematic analysis reveals some meaningful role of NSAs in climate governance including advocating for climate justice, raising awareness, promoting sustainable technologies, enhancing community adaptation and resilience, and collaborating across sectors. Digital awareness campaign of Greenpeace during the Copenhagen and Paris Conference and BRAC's climate-resilient housing and rainwater harvesting initiatives in Bangladesh can be placed as notable examples of NSAs’ roles. Despite their significant contributions, several persistent challenges such as poor coordination among NSAs and with state actors, legitimacy deficits, governance gaps, lack of institutional support and insufficient financing impedes them to realize their full potential. To overcome these challenges, this study recommends the need for legal inclusion of NSAs’ roles, inclusive participation, incorporating intersectionality, stronger accountability mechanisms and sustainable financial frameworks. Furthermore, this study offers actionable recommendations for policymakers and practitioners seeking to enhance the effectiveness of non-state engagement in climate action
Agile Digital Transformation in Local Government: An Extreme Programming Approach to Public Service Mall Applications
Full text linkThe development of the web-based Public Service Mall (MPP) application aims to enhance the quality, efficiency, and accessibility of public services in Pringsewu Regency. Utilizing the Extreme Programming (XP) methodology, which focuses on iterative and collaborative software development, the application follows five main phases: planning, design, coding, testing, and release. Key features of the application include a service search function, a booking code-based queue system, service history tracking, and a user dashboard for seamless interaction. The implementation results demonstrate that the application significantly simplifies access to various public services, reduces physical queues, and improves transparency throughout the service process. System testing confirms that the application operates according to specifications, with a user satisfaction rate of 87% and a notable improvement in service response times. Therefore, this application serves as an effective digital solution that supports the transformation of modern public services, making them more responsive and accessible to the community's needs