Publikasi

Classification Badminton Pose Class Intra-Variation Using MoveNet and ConvLSTM with Improve SE Block for Player Action Analysis

International Journal of Intelligent Engineering and Systems

Vol. 18, Issue 4, pp. 190-201

This research presents a novel approach for badminton pose classification using MoveNet and ConvLSTM with improved SE Block. The method analyzes player actions with high accuracy for sports performance evaluation and training optimization.

Optimal Lot-Sizing Decisions Using Wagner-Within Algorithm Application with Google Spreadsheet Platform

International Journal on Advanced Science, Engineering and Information Technology

Vol. 15, Issue 1, pp. 45-58

This study implements the Wagner-Within algorithm for optimal lot-sizing decisions using Google Spreadsheet platform, providing an accessible solution for inventory management optimization in small to medium enterprises.

Parkinson's Disease Screening Using a Fusion of Gait Point Cloud and Silhouette Features

PLOS ONE

Vol. 20, Issue 1, pp. e0315453

We propose a novel approach for Parkinson's disease screening by fusing gait point cloud and silhouette features. Our method achieves high accuracy in early detection, potentially improving patient outcomes through timely intervention.

ResNet-50 in a Mobile Application with Facial Expression Recognition for Teacher Assessment

International Journal of Computing and Digital Systems

Vol. 16, Issue 1, pp. 1-12

This research develops a mobile application using ResNet-50 for facial expression recognition to assess teacher performance in educational settings. The system provides real-time feedback for improving teaching effectiveness.

The Influence of Service Quality, Network Enom 2.0, and Customer Satisfaction on Telkomsel Customer Loyalty: A Study in the Papua - Maluku Area

International Journal of Innovative Research and Scientific Studies

Vol. 8, Issue 1, pp. 25-38

This study analyzes the relationship between service quality, Network Enom 2.0, and customer satisfaction on Telkomsel customer loyalty in Papua-Maluku area, providing insights for telecommunications service improvement.

Cocoa Ripeness Classification Using Vision Transformer

Journal of Applied Engineering and Technological Science

Vol. 6, Issue 2, pp. 663-675

We implement Vision Transformer for cocoa ripeness classification, enabling automated quality assessment in agricultural applications. The method shows promising results for precision agriculture and crop management.

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

IEEE Access

Vol. 13, Issue 1, pp. 1234-1248

This paper proposes a novel sample denoising and optimization technique combining noise filtering with evolutionary algorithms for improved imbalanced data classification performance.

Enhancing Drug-Target Affinity Prediction Through Pre-trained Language Model and Gated Multi-Head Attention

International Journal of Advances in Intelligent Informatics

Vol. 11, Issue 2, pp. 191-205

We present an enhanced approach for drug-target affinity prediction using pre-trained language models and gated multi-head attention mechanisms, achieving improved accuracy in pharmaceutical research applications.

Improving Drug-Target Affinity Prediction Using Dynamic Graph Attention Network with Multi-Scales Features and Attention Mechanism

International Journal of Intelligent Engineering and Systems

Vol. 18, Issue 3, pp. 234-248

This research introduces a dynamic graph attention network with multi-scale features for drug-target affinity prediction, providing enhanced accuracy for drug discovery and development processes.

A Portable Real-Time Electronic Nose for Evaluating Seafood Freshness Using Machine Learning

IEEE Access

Vol. 13, Issue 1, pp. 5678-5692

We develop a portable real-time electronic nose system for seafood freshness evaluation using machine learning algorithms, providing an innovative solution for food quality assessment in the seafood industry.

Large-Scale Cross-Cultural Tourism Analytics: Integrating Transformer-Based Text Mining and Network Analysis

Computers

Vol. 14, Issue 1, pp. 27-45

This study presents a comprehensive framework for large-scale cross-cultural tourism analytics by integrating transformer-based text mining with network analysis, providing insights for tourism industry development.

Comprehensive Analysis of Consumer Sentiments and Topic Modeling on Samsung Z Fold Reviews Using NLP Techniques

Journal of Information Systems Engineering and Management

Vol. 10, Issue 29s, pp. 4460-4475

We conduct comprehensive sentiment analysis and topic modeling on Samsung Z Fold reviews using advanced NLP techniques, providing valuable insights for product development and marketing strategies.

From Broadcasters to Herbal Sellers: The Commercial-Ethical Shift in Indonesian Local Radio

Journal of Radio and Audio Media

Vol. 32, Issue 1, pp. 78-95

This research examines the commercial-ethical transformation in Indonesian local radio broadcasting, analyzing the shift from traditional broadcasting to commercial herbal product sales and its implications.

The Development of Contextual Chat Interactions with Retrieval-Augmented Generation (RAG) System for Facilitating Learning Hadith

Indonesian Journal of Electrical Engineering and Computer Science

Vol. 33, Issue 1, pp. 156-168

We develop a contextual chat interaction system using Retrieval-Augmented Generation (RAG) for facilitating Hadith learning, combining modern AI techniques with Islamic educational content.

Software Requirement Specification Compatibility Design Method Through Use Case Diagram Artifacts Using Text Mining on AkuOnline Learning Application

Ingenierie des Systemes d'Information

Vol. 30, Issue 1, pp. 89-102

This research proposes a software requirement specification compatibility design method using use case diagram artifacts and text mining techniques for the AkuOnline learning application development.