Ceddi Journal of Information System and Technology (JST)

Design and Evaluation of an Integrated Mobile Web Employee Performance Management System for Hospitals: A Design Science Research Approach

Assadah Rahmawati — 2026-04-16

This study aims to address the limitations of a web-based employee performance management system in a hospital environment characterised by high work mobility and limited computer access. This study designs and evaluates an integrated mobile- and web-based employee performance management system that enables real-time work-activity reporting and improves administrative efficiency. This study uses a Design Science Research (DSR) approach to develop and validate system artefacts as a technological solution. In contrast, the system development process follows the System Development Life Cycle (SDLC), which includes planning, analysis, design, implementation, and testing stages. The proposed system integrates a mobile application with a web-based e-performance platform through an Application Programming Interface (API), thus enabling real-time data synchronisation and more flexible access. The system's main features include user authentication, a performance dashboard, recording work activities, uploading evidence of activities, and performance reporting. The results of black-box functional testing across 18 scenarios showed a 100% success rate, indicating system reliability. Usability evaluation of 32 users yielded an average score of 4.38, categorised as very good, indicating high user acceptance. The findings of this study indicate that an integrated mobile-web system can improve accessibility, support real-time performance recording, and increase administrative efficiency in hospital employee performance management. This study contributes to the development of mobile-based performance management information systems in healthcare organisations. It demonstrates the effectiveness of combining DSR and SDLC approaches to produce practical, scalable information system solutions.

Android-Based Online ATM Machine Swallowed Bank ATM Card Service Information System

Muh Riyaldi Pratama — 2026-04-16

ATM cards remain a primary means of banking transactions, despite the continued development of digital services. However, operational issues such as ATM cards being swallowed by the machine remain common and are generally handled through inefficient manual procedures that require customers to visit the bank in person. This study aims to develop an Android-based information system for reporting ATM card swappings to improve the efficiency, accessibility, and quality of banking services. The system development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, and testing. The resulting system is designed to enable customers to report online, enabling faster handling by customer service without face-to-face interaction. Test results from the black-box testing method indicate that all system features operate according to established specifications and remain stable and functional. The implementation of this system has been proven to increase service response speed, simplify the reporting process, and reduce dependence on conventional procedures. This research contributes to the development of an integrated, real-time, mobile-based complaint service model for banking information systems. In addition, this research also strengthens the role of mobile technology as an enabler in the digital transformation of public services. Thus, the proposed system has the potential to be an effective and adaptive solution in improving service quality and customer satisfaction in the digital era.

Rental Housing Recommendation System Model Based on Multi-Criteria Decision Making and Machine Learning with Technology Acceptance Model Integration

Robbi Rahim — 2026-04-16

The selection of rental housing is a multi-criteria decision-making problem involving factors such as price, location, facilities, security, and environment, making it difficult for prospective tenants to determine the option that best suits their needs. This study aims to develop a rental housing recommendation system model by integrating Multi-Criteria Decision Making (MCDM), Machine Learning, and Technology Acceptance Model (TAM). The Analytical Hierarchy Process (AHP) is used to determine the criteria weights. In contrast, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used to rank rental housing alternatives. Furthermore, a Machine Learning approach using the Random Forest algorithm is applied to predict user preferences from historical data. System evaluation is carried out by comparing recommendation performance between AHP–TOPSIS and Simple Additive Weighting (SAW), testing the performance of the Machine Learning model, and analysing user acceptance using Structural Equation Modelling based on Partial Least Squares (SEM-PLS) within the Technology Acceptance Model framework. The results show that the AHP–TOPSIS model outperforms SAW in recommendation performance, achieving 89.4% compared to 84.7%. The Random Forest-based Machine Learning model also demonstrated good performance in predicting user preferences. The SEM results showed that perceived ease of use significantly influenced perceived usefulness and behavioural intention; perceived usefulness significantly influenced behavioural intention; and behavioural intention significantly influenced actual use, with p-values < 0.05. The R-square value of 0.67 indicated that the model had strong explanatory power for user acceptance. This study developed a rental housing recommendation system model that not only objectively provides the best alternative but also adjusts its recommendations to user preferences, achieving high acceptance. This model has the potential to be applied in the development of recommendation systems in the housing sector and artificial intelligence-based decision support systems.

Development and Evaluation of a Web-Based MSME Information System for Operational Efficiency and Market Access

Riska Kherani — 2026-04-16

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in regional economic development, but most MSMEs still face challenges in managing business information, promoting products, and providing customer service that is not yet digitally integrated. This study aims to develop and evaluate a web-based MSME information system to support operational efficiency and market access for MSMEs in Sidenreng Rappang Regency. The study uses a Research and Development approach with a Waterfall model, including the stages of needs analysis, system design, implementation, testing, and maintenance. System evaluation is conducted through functional testing using the black-box testing method and user perception evaluation using a 5-point Likert-scale questionnaire. The research respondents were 30 users, consisting of MSMEs and the general public, who are potential users of the system. The research instrument covers five assessment dimensions, namely ease of use, information quality, interface display, service speed, and digital marketing support. The results of the black-box test indicate that all main features of the system function with 100% success. The results of the instrument reliability test show a Cronbach's alpha of 0.892, indicating good reliability. The results of the quantitative analysis show that the overall average user perception score is 4.36 on a scale of 5.00, which falls in the very good category. In detail, the ease of use dimension obtained a score of 4.41, information quality 4.39, interface display 4.31, service speed 4.22, and digital marketing support 4.47. The results of the study indicate that the developed system is feasible to use and can support operational efficiency and expand market access for MSMEs. The contribution of this study is a development and evaluation model for a web-based MSME information system that can serve as a reference for regional MSME digitalisation programs.

Development of a Web-Based Radar Monitoring and Failure Analysis System Integrated with the TopSky ATS

Syahrul Syahrul — 2026-04-16

Radar is a crucial component of the Air Traffic Services system, supporting Air Traffic Controllers in monitoring aircraft movements and maintaining flight safety. At Airnav Indonesia Makassar Air Traffic Service Centre (MATSC) Branch, the radar disturbance recording process is still done manually, potentially leading to recording errors, reporting delays, and inefficiencies in technical evaluation. This study aims to develop a web-based radar disturbance monitoring and analysis system integrated with TopSky ATS that automatically detects, records, and visualises radar disturbances. The system is designed to recognise changes in radar status, calculate failure duration, record the number of disturbance events, and present this information in tables and dashboards in real time. Radar log data is obtained from the Control Work Position (CWP37) device via the TopSky Event Log, then parsed using the ASTERIX protocol categories 34 and 48, and stored in a MySQL database. The system was developed using the Waterfall model, while system evaluation was conducted through black-box testing and User Acceptance Testing. The results show that the system can accurately detect and display radar disturbance information in real time. The UAT, involving 10 technicians, demonstrated a user acceptance rate of 93.2%, categorised as very good. These findings demonstrate that the developed system can improve efficiency, accuracy, and timeliness in radar monitoring and support data-driven technical evaluations in air traffic services operations.