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All Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
Sam, Toong Hai
INTI International University
Computer Science & IT

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Analytical Hierarchy Process Method of Prosthetic and Orthotic Materials for Patient Needs Nurkholiza, Rahmiyana; Beng, Jap Tji; Wasino, Wasino; Tiatri, Sri; Sam, Toong Hai; Anolin, Ann G.; Castillo, Sheryll Ann M.; Dinatha, Vienchenzia Oeyta Dwitama
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3159

Abstract

This study highlights the importance of optimising assistive devices for people with disability, as the law says in Law No. 8 of 2016. Ligar Mandiri Prosthetics and Orthopaedics Clinic offer related services, where choosing the right materials is getting more complicated because of fast tech advances and lots of options like carbon fibre, plastic, and titanium. This study aims to develop a Decision Support System (DSS) to assist practitioners in selecting materials based on quality, cost, and production time criteria. The alternatives evaluated include local, semi-imported, and imported materials. Using the Analytic Hierarchy Process (AHP) method, the analysis shows that imported materials received the highest ranking (0.54708), followed by local materials (0.24157) and semi-imported materials (0.21155). The DSS developed in this study has enhanced the accuracy, efficiency, and transparency of decision-making, thereby supporting practitioners in providing effective and reliable prosthetic and orthotic solutions. 
Designing a Data Mart at the Indonesian Psychological Healthcare Center Using Pentaho Angela, Octarifa; Beng, Jap Tji; Trisnawarman, Dedi; Tiatri, Sri; Sam, Toong Hai; Guanco, Rhalf Jayson F.; Nurkholiza, Rahmiyana; Dinatha, Vienchenzia Oeyta Dwitama
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3153

Abstract

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. 
Designing a Dashboard for Sales Trends and Analysis at Coventown Glodok Jakarta Salsabila, Tasya Mulia; Beng, Jap Tji; Trisnawarman, Dedi; Tiatri, Sri; Sam, Toong Hai; Lunzaga, Ele; Nurkholiza, Rahmiyana; Dinatha, Vienchenzia Oeyta Dwitama
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3156

Abstract

Coventown is a coffee shop with a Chinese theme located in the Petak Enam Glodok area, Jakarta. The sales dashboard design allows Coventown Glodok Jakarta to identify sales patterns, and predict sales performance through historical data analysis. This study aims to present data in easy-to-understand visualizations to demonstrate the use of dashboards in improving the efficiency of sales monitoring, providing strategic insights into trends, and achieving sales targets to support more precise and effective decision-making. The prototype development iterations were planned quickly, and the data was processed using Microsoft Power BI and the Python programming language. The results of this study show that the sales dashboard at Coventown Glodok Jakarta effectively monitors sales in line with Key Performance Indicators (KPIs) such as time, category, product, price, and quantity. The resulting dashboard improves the efficiency of monitoring sales performance and helps the company display sales trends for best-selling products.  
Co-Authors Angela, Octarifa Anolin, Ann G. Beng, Jap Tji Castillo, Sheryll Ann M. Dinatha, Vienchenzia Oeyta Dwitama Guanco, Rhalf Jayson F. Lunzaga, Ele Nurkholiza, Rahmiyana Salsabila, Tasya Mulia Tiatri, Sri Trisnawarman, Dedi Wasino, Wasino