Vol. 5 No. 1 (2026): May

The increasing use of digital technology creates significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to enhance promotion and business development. Air Ikan Otista, an MSME in East Jakarta operating in the ornamental fish and aquarium supplies sector, faced limited promotional reach and unstructured product information due to conventional marketing practices. A web-based e-catalog system was designed and implemented as a digital promotion and branding medium. The study applied a qualitative approach through interviews, direct observation, and literature review, followed by structured system development using the Agile method. The system was built using Laravel as the backend framework, React JS as the frontend, and MySQL as the database. Results indicate that the e-catalog system improves the organization and consistency of product information, simplifies data management through an admin panel, and supports digital promotional activities. User Acceptance Testing (UAT) confirmed that the system is easy to operate, functionally appropriate, and acceptable for daily operations — suggesting measurable potential to strengthen promotional effectiveness and branding for MSMEs in similar sectors.  

While digital transformation has become a baseline expectation in modern school administration, correspondence archive management at Santa Maria Homba Karipit Catholic Senior High School remains entirely manual — producing measurable inefficiencies in document storage and persistent delays in data retrieval. Staff rely on physical logbooks and disconnected tools, with no centralized system to track letter histories or generate timely reports. This study designed and developed a web-based Correspondence Management Information System to digitize the school's administrative procedures. The methodology employed systematic requirements analysis, realized through Context Diagrams and Data Flow Diagrams (DFD) up to Level 2, alongside the design of a relational database. The resulting system integrates three user roles — Admin, Head of Administration, and School Principal — into a unified platform for managing incoming and outgoing letters and generating periodic reports. System testing across 24 test cases returned a 100% pass rate. Deployment reduced per-document processing time from fifteen minutes to two minutes, minimized the risk of physical archive loss, and provided school leadership with faster, more reliable access to correspondence records to support administrative decision-making.  

The History subject — particularly the Indonesian Proclamation of Independence — has long been delivered through conventional, one-directional methods that leave students disengaged and, in documented cases, visibly saturated. This study designed and developed an interactive digital learning medium as a direct response to that condition. The medium produced is a narrative-driven 2D Mobile Game, built using the Game Development Life Cycle (GDLC) across four phases: Concept, Pre-Production, Production, and Testing. The resulting prototype centers on a slide-controlling mechanism and a sequentially structured historical narrative, with an integrated quiz system embedded at the end of each story chapter. Validation by a Material Expert and a Media/Technology Expert placed the product in the "Highly Feasible" category, with an overall average score of 89.85% — a result that holds across both content accuracy and technical execution. Usability testing returned a System Usability Scale score of 81.0, rated "Excellent" and "Acceptable." These findings suggest the game is a credible alternative medium for reducing learning saturation and raising student engagement with History material.  

The BKPSDM of Central Sumba Regency previously managed all employee data through manual processes, producing administrative inefficiencies, redundancy risks, and persistent reporting delays. A web-based Personnel Management Information System (SIMPEG) was developed and deployed to digitize civil servant data management within the agency. The R&D methodology guided the study; data were gathered through in-depth interviews and direct field observation. The system was built using PHP, a MySQL database, and the Bootstrap framework for a responsive interface. The resulting application combines employee data CRUD operations, role-based access control, and personnel statistics visualization via Chart.js. Beyond automating report generation, the system provides an interactive dashboard supporting real-time analysis of employee composition. Strict relational database design ensures referential integrity across all data entities, while PHP session management enforces authentication at every access point. Field trials confirmed that all ten tested functions performed as expected. This deployment measurably advances administrative governance modernization, improves data accuracy, and accelerates strategic decision-making for regional leadership — marking concrete progress toward Central Sumba Regency's Electronic-Based Government System (SPBE) targets.  

Weather prediction in tropical Indonesia faces complex challenges due to high climate variability, persistent El Niño–Southern Oscillation (ENSO) influence, and uneven observational coverage. This study compared five machine learning algorithms — Random Forest (RF), Support Vector Machine (SVM), Long Short-Term Memory (LSTM), XGBoost, and LightGBM — using 187,320 daily records from BMKG stations, ERA5 reanalysis, and TRMM satellite data (2000–2023). Preprocessing included MMDIF-RF imputation, Z-score normalization, and SMOTE for class imbalance correction. Models were evaluated on RMSE, MAE, R², Accuracy, Precision, Recall, F1-Score, and AUC-ROC. LSTM achieved the best performance (RMSE = 3.94 mm; R² = 0.891; F1-Score = 0.887; AUC-ROC = 0.941), reflecting its capacity to capture long-range temporal dependencies. XGBoost and LightGBM delivered competitive accuracy at 8–18 times lower training cost, while SVM recorded the lowest accuracy with the highest computational demand. Regional analysis showed station density and data completeness were more consequential than algorithm choice — LSTM RMSE ranged from 3.61 mm in West Java to 5.43 mm in East Nusa Tenggara. A tiered hybrid approach is recommended: LightGBM or XGBoost for routine forecasting and LSTM for extreme event detection, alongside expanded BMKG coverage in eastern Indonesia.  

Village fund management in Kahale Village faces persistent manual administrative challenges that have eroded public trust, largely due to restricted access to financial information. A web-based information system was developed to address these shortcomings and improve the transparency of village financial governance. The research employed a qualitative descriptive approach for field problem analysis, paired with the Waterfall model for structured software development. Findings indicate that the deployment of monitoring and dashboard features substantially digitized previously manual administrative processes. Report preparation and validation time dropped from three to five days to under twenty-four hours, with data updated in real time. The system also provides centralized digital document storage, which has simplified leadership verification and strengthened internal accountability. Each financial document must pass through a two-stage control mechanism — data entry by the admin and approval by the village head — before it is considered valid and accessible to the public. This digitization effort establishes a reliable foundation for accurate financial data presentation and offers a direct answer to the chronic inefficiencies of conventional record-keeping in supporting public transparency.  

The lack of digital information regarding the distribution of medical personnel, particularly dentists, in the Medan Marelan subdistrict often makes it difficult for the community to access prompt medical care. To address this issue, this study developed a mobile application for Android devices capable of providing accurate information on the locations of dental practices. The application uses Location-Based Service (LBS) technology and the Euclidean Distance algorithm to determine the user's location and calculate the shortest distance to the nearest dental practice. The software was developed using Android Studio, the Java programming language, and the Google Maps API to create an interactive map. After testing at 10 locations in Medan Marelan, the system successfully determined distances accurately, with the closest distance being 0.008329 degrees. Black-box testing also confirmed that the navigation and search functions operated without technical issues. With this application, it is hoped that the information gap regarding dental healthcare services can be bridged, improving time efficiency for communities in need of dental care.