ETL DATA WAREHOUSE ON PERFORMANCE MEASUREMENT

Linda Sutriani, Indra Yatini Buryadi, Hera Wasiati, Sudarmanto Sudarmanto

Abstract


Measuring the organizational performance correctly will turn out accurate data which can be analyzed to provide important information for management in making decisions to improve company performance. This is because in the past, the performance appraisal was only based on financial measures. However, the editor-in-chief needs more than just financial indicators to improve performance. The Balanced Scorecard measures four organizational dimensions, such as customer, financial, internal business, and learning and growth. Although originally designed for the private sector, many public organizations apply it as modifications to suit their needs. The Balanced Scorecard is an effective method for measuring and achieving organizational performance. This research involves ETL in the Balanced Scorecard process to combine data from various sources into a large central repository called a data warehouse

Full Text:

PDF

References


Astriani, Winda, and Rina Trisminingsih. 2016. “Extraction, Transformation, and Loading (ETL) Module for Hotspot Spatial Data Warehouse Using Geokettle.” Procedia Environmental Sciences 33:626–34. doi: 10.1016/j.proenv.2016.03.117.

Christian, Joko. 2010. “Model Data Warehouse Dengan Service Oriented Architecture Untuk Menunjang Sistem Informasi Eksekutif.” Jurnal TELEMATIKA MKOM 2(2):103–15.

Goar, Vishal, Janardan Rai, Nagar Rajasthan, Vidyapeeth Universitas, and Govind Tanwar. 2010. “Meningkatkan Kinerja Extract , Transform and Load ( ETL ) Di Data Warehouse.” 02(03):786–89.

Hadiyati, Nuniek. 2014. “PENGUKURAN KINERJA DENGAN METODE BALANCED SCORECARD (Studi Empiris Pada Rumah Sakit PKU Muhammadiyah Delanggu Klaten).” 4.

Kakish, Kamal, and Theresa a Kraft. 2012. “ETL Evolution for Real-Time Data Warehousing.” Proceedings of the Conference on Information Systems Applied Research (September 2015):1–12.

Ma, Yixuan, Xuedong Gao, and Shujuan Gu. 2015. “Subject Hierarchy Structure Modeling in Data Warehouse.” International Journal of Database Theory and Application 8(4):256–72. doi: 10.14257/ijdta.2015.8.4.26.

Malgwi, Dr A. A., and H. Dahiru. 2014. “Balanced Scorecard Financial Measurement of Organizational Performance: A Review.” IOSR Journal of Economics and Finance 4(6):01–10. doi: 10.9790/5933-0460110.

Sari, Maya. 2015. “424-491-1-Pb 4.” ANALISIS BALANCED SCORECARD SEBAGAI ALAT PENGUKURAN KINERJA PERUSAHAAN PT. JAMSOSTEK CABANG BELAWAN. 15(1):28–42.

Susetyo, Joko, and A. U. L. Sabakula. 2014. “Pengukuran Kinerja Dengan Menggunakan Balanced Scorecard Dan Integrated Performance Measurement System (IPMS).” Jurnal Teknologi 7(1):56–63.

Vera Devani1, Ade Setiawarnan2. 2015. “Pengukuran Kinerja Perusahaan Pada Pt. Yyy Dengan Menggunakan Metode Balanced Scorecard.” 3(3):83–90. doi: 10.24912/jmbk.v3i3.4974.




DOI: http://dx.doi.org/10.26798/jiss.v2i1.928

Article Metrics

Abstract view : 363 times
PDF - 218 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Linda Sutriani, Indra Yatini Buryadi, Hera Wasiati, Sudarmanto Sudarmanto

JOURNAL OF INTELLIGENT SOFTWARE SYSTEMS

Published by

Magister Teknologi Informasi
Lembaga Penelitian dan Pengabdian Masyarakat
Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM)
Jl. Raya Janti Jl. Majapahit No.143, Jaranan, Banguntapan,
Kec. Banguntapan, Kabupaten Bantul,
Daerah Istimewa Yogyakarta 55918

Website : https://www.utdi.ac.id/

 

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.