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Journal Innovations Computer Science
Published by Yayasan Kawanad
ISSN : 29619718     EISSN : 2961970X     DOI : https://doi.org/10.56347/jics
Core Subject : Science,
Computer Science & IT
Journal Innovations Computer Science (JICS) is a peer-reviewed, twice-annually published international journal that focuses on innovative, original, previously unpublished, experimental or theoretical research concepts. Journal Innovations Computer Science (JICS) covers all areas of computer & information science, applications & systems engineering in computer & information science. JICS core vision is to be an innovation platform in information technology and computer science. Articles of interdisciplinary nature are particularly welcome. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 144 Documents
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Pengembangan Sistem Informasi Untuk Meningkatkan Transparansi Pengelolaan Dana Desa di Kahale Berbasis Web Nopiana Bili; Ardiyanto Dapadeda; Sihang Gregorius Bali Mema
Journal Innovations Computer Science Vol. 5 No. 1 (2026): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v5i1.407

Abstract

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.  
Pengembangan Pembelajaran Interaktif Sejarah Proklamasi Berbasis Game Mobile 2D Menggunakan Metode Game Development Life Cycle Habil Jabbal Firdausyi; Ade Irma Purnamasari; Irfan Ali; Indra Wiguna Marthanu; Fathurrohman Fathurrohman
Journal Innovations Computer Science Vol. 5 No. 1 (2026): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v5i1.413

Abstract

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.  
Perbandingan Kinerja Algoritma Machine Learning untuk Prediksi Cuaca di Wilayah Tropis Indonesia: Studi Komparatif Random Forest, SVM, LSTM, XGBoost, dan LightGBM Nofirman Nofirman; Munawir Munawir; Fegie Yoanti Wattimena
Journal Innovations Computer Science Vol. 5 No. 1 (2026): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v5i1.420

Abstract

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.  
Aplikasi Mobile Pencarian Lokasi Praktik Dokter Gigi di Wilayah Medan Marelan Menggunakan Location Based Service (LBS) dan Metode Euclidean Distance Muhammad Rizky Alfama; Efani Desi
Journal Innovations Computer Science Vol. 5 No. 1 (2026): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v5i1.423

Abstract

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.  

Page 15 of 15 | Total Record : 144

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