Deputy Head of the Center for AI and Digital Technology Studies, ITS

Deputy Head of the Center for AI and Digital Technology Studies, ITS
2026
Stock Buy and Sell Prediction Based on Technical and News Sentiment Analysis Using Recurrent Neural Network Architecture and Ensemble Methods
International Journal of Intelligent Engineering & Systems, Vol. 19, No. 5, pp. 715
Shapelet Transformation of Multivariate Time Series for IoT Anomaly Detection
Engineering, Technology & Applied Science Research, Vol. 16, No. 2, pp. 33549–33556
A Cost Supply Method for Finding an Initial Basic Feasible Solution of the Transportation Problem
Engineering, Technology & Applied Science Research, Vol. 16, No. 2, pp. 33024–33030
Automated Workload Pattern Recognition in Kubernetes: A Time Series Detection Framework for Microservice Resource Characterization
An Enhanced Gravitational Search Algorithm for Feature Selection in Telecom Churn Prediction
Results in Engineering, Article No. 109989
Enhanced Supply Selection for Better Initial Basic Feasible Solutions in Transportation Problems
MethodsX, Article No. 103825
Cluster-Based Assessment to Improve Student Social Skill and Competence at SMA Muhammadiyah 10 Surabaya
International Journal of Geography, Social, and Multicultural Education, Vol. 3, No. 3
Managing Biofouling from Ships in Indonesia: Regulation versus Implementation
BIO Web of Conferences, Vol. 216, Article 08004
2024
Recognizing Textual Entailment: A Review of Resources, Approaches, Applications, and Challenges
ICT Express, Volume 10, Issue 1
SNLI Indo: A Recognizing Textual Entailment Dataset in Indonesian Derived from the Stanford Natural Language Inference Dataset
Data in Brief, Vol. 52
Sarcasm Detection in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU
IEEE Access, Vol. 12
Accelerating Real-Time Deterministic Discovery through Single Instruction Multiple Data Graphical Processing Unit for Executing Distributed Event Logs
International Journal of Electrical and Computer Engineering, Vol. 14, No. 04
2023
GLoW SMOTE-D: Oversampling Technique to Improve Prediction Model Performance of Students Failure in Courses
IEEE Access, Vol. 12
Effects of Training Data on Prediction Model for Students’ Academic Progress
International Journal of Advanced Computer Science and Applications, Vol. 14, No. 07
2025
Enhancing Balinese Gamelan Classification using a CNN with Multi-Feature Fusion
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Text Classification for Indonesian Software Description using Data Augmentation and Transformer Models
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Weather Prediction in Indonesia Using Optimized Lag-Llama Based on BMKG Kemayoran and Kualanamu Data
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Improving Population Forecast Accuracy using ARIMA-XGBoost Hybrid Model: A Case Study in West Kotawaringin Regency, Indonesia
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Forecasting the Geomagnetic K Index with LSTM Networks: Insights from Indonesian Data
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Balinese Gamelan Structural Classification Using Temporal Mel-CRNN
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Dynamic Scheduling and Route Planning for Productive Inline Inspection Processes using Metaheuristic Algorithms
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
The Influence of Denoising Pre-processing on the Performance of Kulkul Sound Classification Using Transformers
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)
Salt Supply Chain Modelling: A Dynamic System Approach to Salt Price Prediction
International Conference on Advanced Technologies in Energy and Environment (2025)
Modeling the Preferences of Generation Z and Millennials toward Online Car Transportation using Conjoint Methods
10th International Conference on Informatics and Computing (ICIC 2025), pp. 1–6
Data Clustering for Tax Incentives Determination: A Hybrid Manhattan Frequency K-Means and Particle Swarm Optimization Approach
1st International Conference on Artificial Intelligence Technology (2025)
E2Net: Enhanced Ensemble Networks for Dynamic Long-Term Time Series Forecasting
International Conference on Artificial Intelligence for Sustainable Development (2025)
2025
Development of an Interactive Digital Twin Model for Hydropower Plant Site Optimization in Geothermal Areas Using Machine Learning and Multivariate Geospatial Data
Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Development of a Monte Carlo–Regression Tree Simulation Model for Predicting Electrical Energy Consumption and Improving Efficiency Using the Internet of Things
Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Development of a Multivariate Time Series Classification Model Based on Shapelet Transformation for Anomaly Detection in Internet of Things Data
Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
(Excluding Undergraduate Thesis, Master’s Thesis, and Doctoral Dissertation)
2025
Development of an Interactive Digital Twin Model for Hydropower Plant Site Optimization in Geothermal Areas Using Machine Learning and Multivariate Geospatial Data
Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Research Partner: Geophysics Research Group
Development of a Monte Carlo–Regression Tree Simulation Model for Predicting Electrical Energy Consumption and Improving Efficiency Using the Internet of Things
Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Research Partner: Universitas Widya Dharma
Development of a Multivariate Time Series Classification Model Based on Shapelet Transformation for Anomaly Detection in Internet of Things Data
Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Research Partner: –