Gatot Tri Pranoto

Gatot Tri Pranoto is a Faculty Member in the Information Systems department at Trilogi University, Jakarta, Indonesia. His academic work focuses on the application of information technology and data science methods to solve practical problems across various domains including business, healthcare, government, and education.

His research interests span Information Systems, Decision Support Systems, Data Mining, and Artificial Intelligence applications. Dr. Pranoto's work demonstrates particular expertise in developing practical solutions using methods such as K-Means clustering, Particle Swarm Optimization, Analytical Hierarchy Process (AHP), and various machine learning algorithms. His research often addresses real-world challenges in Indonesian contexts, including village development classification, flood prediction, customer segmentation, and educational management.

Analysis of his publication trends from 2020-2022 reveals a consistent focus on developing decision support systems and applying data mining techniques to diverse problems. His work shows particular strength in comparative analysis of different algorithms and methodologies, often evaluating multiple approaches to determine optimal solutions for specific contexts. The geographical focus of his research predominantly centers on Indonesian regions including Aceh Province, West Java, and Palangka Raya City.