Luh Gede Astuti
Udayana University

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Developing tuberculosis drug information system using a throwaway prototype: Udayana Hospital case study Rini Noviyani; Luh Arida Ayu Rahning Putri; I Nyoman Gede Budiana; Luh Gede Astuti; I Made Oka Widyantara; Ida Ayu Alit Widhiartini; Ida Bagus Nyoman Maharjana; Sagung Chandra Yowani; I Gusti Ngurah Anom Cahyadi Putra
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27073

Abstract

Tuberculosis (TB) remains a major health problem in Indonesia, and efficient drug management is essential to ensure continuous treatment and prevent resistance. At Udayana University Hospital, manual recording and reporting often caused delays and errors, while integration with the National Tuberculosis Information System (SITB) was limited. This study developed a TB drug information system using the throwaway prototype model to address these challenges and enhance hospital workflow efficiency. The system implementation demonstrated measurable improvements in operational performance, with data entry errors reduced by 83% and the average recording time per patient shortened by 35% compared to the previous manual process. User feedback confirmed improved usability, accuracy, and reliability in supporting hospital workflows and timely reporting. In conclusion, the proposed system effectively improved the accuracy and efficiency of TB drug management while addressing hospital level operational challenges. This study demonstrates the applicability of the throwaway prototype model in healthcare information-system development and provides insights for scaling and integration with national TB programs.
Design and Implementation of An ETL-Based Data Management Pipeline Using a Semi-Kimball Approach for Business Intelligence in Boarding House and Laundry MSMEs: English I Made Yoga Sattwika Darma; Luh Gede Astuti
INSERT : Information System and Emerging Technology Journal Vol. 7 No. 1 (2026)
Publisher : Information System Study Program, Faculty of Engineering and Vocational, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v7i1.113448

Abstract

Micro, small, and medium enterprises (MSMEs) in the service sector, particularly boarding house and laundry businesses, often face challenges in managing operational data in an integrated and structured manner to support effective decision-making. In practice, most business owners rely on fragmented records and experiential judgment, resulting in limited ability to identify operational patterns and optimize business performance. This study proposes the design and implementation of a lightweight data management pipeline based on Extract, Transform, Load (ETL) and a data mart using a semi-Kimball approach to support Business Intelligence in MSMEs. The research adopts a Design Science Research (DSR) methodology, focusing on the development of a practical system artifact. The dataset consists of a combination of internal operational data, data from similar businesses, and simulated data reflecting realistic operational conditions. The system is implemented using Python for ETL processes, SQLite as a lightweight data warehouse, and Flask for backend and API services. The results demonstrate that the proposed system successfully integrates multi-source data—including occupancy, laundry transactions, and operational activities—into a structured and consistent data model. The system further enables the delivery of interactive dashboards that support descriptive and diagnostic analytics, facilitating the identification of operational patterns and improving data-driven decision-making.