Jurnal Ilmu Siber dan Teknologi Digital (JISTED) adalah jurnal nasional dengan akses terbuka dan tinjauan sejawat yang menerima manuskrip artikel asli, laporan, dan tinjauan literatur berkualitas tinggi di bidang rekayasa perangkat lunak dan teknologi informasi. Jurnal Ilmu Siber dan Teknologi Digital (JISTED) bertujuan untuk memediasi ide-ide segar para peneliti dan praktisi untuk mempercepat perkembangan teknologi dan siber.
Diterbitkan
2026-01-23
Articles
WEB-BASED RESEARCH ARTICLE CLASSIFICATION USING THE RANDOM FOREST ALGORITHM
Purpose: This study aims to develop a web-based system that classifies research articles using the Random Forest algorithm to address mismatches between article content and journal scope.
Methodology/approach: The research employed the SDLC Waterfall model, with data sourced from 560 articles published by Goodwood Publishing (2019–2024) across four categories. Text preprocessing included case folding, stopword removal, stemming, and tokenization, with TF-IDF applied for feature extraction. Random Forest was trained with 80% training data and 20% testing data.
Results/findings: The model achieved 91% accuracy, with high precision and recall across all categories. The system was successfully implemented as a web-based application, providing instant classification and journal recommendations.
Limitations: The dataset was limited to one publisher and only Random Forest was applied, which may restrict the generalizability of findings.
Contribution: This study contributes to the application of machine learning in scholarly publishing, offering a practical solution for editors to streamline article selection and improve efficiency.
Google Scholar
Garuda
Sinta
Pages: 15-31
9 views | 6 downloads
Android Based Rosella Tea Sales Application as Digital Innovation
Purpose: This study aims to develop an Android-based sales application for Rosella Tea as a digital innovation, addressing the need for efficient marketing and sales management among Women Farmers Groups (KWT) in East Ambarawa Village, Lampung.
Methodology/approach: The research utilizes the System Development Life Cycle (SDLC) method, with stages including needs analysis, system design using Unified Modeling Language (UML), coding with Java, and data storage via Firebase.
Results/findings: The developed application successfully operates on Android devices, presenting products informatively and enabling real-time transactions and sales management. It enhances marketing efficiency and expands the market reach for Rosella Tea, improving transaction processes between sellers and buyers.
Conlusion: The Android-based application serves as an innovative solution to promote Rosella Tea digitally, offering better sales management, expanding market access, and increasing business efficiency for women farmers.
Limitations: The study did not explore the full range of features needed, such as integration with various payment methods and e-commerce platforms.
Contribution: The application provides a digital pathway for Women Farmers Groups to manage and promote local products, contributing to their economic empowerment and aligning with government initiatives to support MSMEs' digitalization.
