All Stories

  1. Dictionary-based extraction of hyperbole and swear words for sarcasm detection in Indonesian Tweets
  2. Ensuring Trustworthiness in Qualitative Research
  3. Ihoya: knowledge management system based on community using User-Centered Design (UCD) method
  4. Developing Food Menu Recommendation System Based on Indonesian Nutritional Needs
  5. Employing SBERT for Essay Assessment
  6. Identification of Hoya as a Medicinal Plant Using Convolutional Neural Network
  7. Classification and Forecasting Air Pollution Using Naive Bayes and Prophet: A Use Case of Air Quality Index in Jakarta
  8. Design and Development of Spice Image Classification Application of Zingiberaceae Family with Rapid Application Development Method
  9. Classification of Suspicious Financial Transactions using Light Gradient Boosting Machine Method (LGBM) based on Social Network Analysis (SNA) Indicators
  10. Predicting Student Performance Through Data Mining: A Case Study in Sultan Ageng Tirtayasa University
  11. SobatGizi App for Suggesting Adequate Meal Portions
  12. Hoya Species Plant Identification Based on Leaf and Flower Using Convolutional Neural Network Models
  13. Integrating Digital Repository System for Nuclear Power Plant (NPP) Site Studies in Indonesia
  14. Expert retrieval based on local journals metadata to drive small-medium industries (SMI) collaboration for product innovation
  15. Usability and acceptance of crowd-based early warning of harmful algal blooms
  16. GunadarmaXBRIN at SemEval-2023 Task 12: Utilization of SVM and AfriBERTa for Monolingual, Multilingual, and Zero-shot Sentiment Analysis in African Languages
  17. Sarcasm Detection in Indonesian Tweets Using Hyperbole Features
  18. Utilizing AR for 3D Geometry Object Visualization
  19. 3D Orthomosaic From Unmanned Aerial Vehicle (UAV) Image Data For Real-World Environment 3D Map Creation Autonomous Vehicles Simulation System
  20. Phrase Table Combination Based on Symmetrization of Word Alignment for Low-Resource Languages
  21. Robustness of Word and Character N-gram Combinations in Detecting Deceptive and Truthful Opinions
  22. DBMS-KU Interpolation for WMT19 News Translation Task
  23. DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion
  24. Exploiting Function Words Feature in Classifying Deceptive and Truthful Reviews
  25. Combining Word and Character N-Grams for Detecting Deceptive Opinions