Designing a Data Mart at the Indonesian Psychological Healthcare Center Using Pentaho

Angela, Octarifa (Universitas Tarumanagara, Jakarta)
Beng, Jap Tji (Universitas Tarumanagara, Jakarta)
Trisnawarman, Dedi (Universitas Tarumanagara, Jakarta)
Tiatri, Sri (Universitas Tarumanagara, Jakarta)
Sam, Toong Hai (INTI International University)
Guanco, Rhalf Jayson F. (Adventist University of the Philippines)
Nurkholiza, Rahmiyana (Universitas Tarumanagara, Jakarta)
Dinatha, Vienchenzia Oeyta Dwitama (INTI International University)

Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
Vol 14, No 3: Desember 2025

Critical data is essential for organisational success, providing essential information for decision-making. This study focuses on the Indonesian Mental Health Centre (IndoPsyCare), which utilises data to improve service performance. The research aims to design a data mart to support analytical needs by transforming the Online Transaction Processing (OLTP) database into Online Analytical Processing (OLAP). This design follows Kimball's Nine-Step Approach and integrates the Extract, Transform, Load (ETL) process. Data was collected from August 2023 to August 2024 through interviews and electronic documentation. The system was implemented using Microsoft SQL Server Management Studio 18 and Pentaho Data Integration. The resulting data mart uses a star schema with fact and dimension tables tailored to stakeholder needs, particularly in appointment analysis. Findings indicate that the data mart facilitates efficient access, targeted analysis, and improved query performance, thereby supporting IndoPsyCare's decision-making and overall service optimisation.