RANCANGAN SISTEM DATA WAREHOUSE EVALUASI KINERJA

Henderi Henderi, Edi Winarko

Abstract


Paper ini membahas sistem data warehouse (DW) evaluasi kinerja. Tujuan yang hendak dicapai adalah membuat rancangan sistem DW evaluasi kinerja yang siap diterapkan di perguruan tinggi. Penelitian dilakukan melalui tahapan menentukan subjek, studi literatur, observasi terhadap struktur orgnisasi, proses bisnis, sistem operasional, menyusun key performance indicators (KPI), menentukan representasi KPI, menentukan data dan sumbernya, dan membuat rancangan DW evaluasi kinerja. Hasil akhirnya berupa rancangan fisik dan rancangan model data untuk sistem DW evaluasi kinerja. Pengimplementasian rancangan sistem DW evaluasi kinerja yang diusulkan dapat digunakan untuk meningkatkan kecepatan, efisiensi dan kualitas pelaksanaan evalausi kinerja berbentuk KPI, mengelola dan mengontrol aktifitas, mengetahui kondisinya, dan dapat mendukung pengambilan keputusan di perguruan tinggi sebagai objek penelitian.


Full Text:

PDF

References


H. Wonchang, “Developing enterprise dashboard,” Asian Journal of

Information Technology, Medwell Journals, 8 (2), pp. 55-60, 2009.

P. David,”Key performance indicatorss: developing, implementing,

and using winning KPI,” John Wiley & Sons, Inc, 2007.

Fadzilah Siraj, Mansour Ali Abdoulha, ”Uncovering Hidden

Information WithinUniversity’s Student Enrollment Data Using

Data Mining,” Third Asia International Conference on Modelling &

Simulation. IEEE DOI 10.1109/AMS.2009.117, 2009.

Sun Binli, “Research on Data-preprocessing for Construction of

University Information Systems,” International Conference on

Computer Application and System Modeling (ICCASM 2010),

pp.459-462, 2010.

Fátima Silva, Paula Fernandes, “ Using Importance-Performance

Analysis in Evaluating Institutions of Higher Education: A Case

Study,” International Conference on Education and Management

Technologyč ICEMT 2010Ď, pp. 121-123, 2010.

Manjunath T. N., Ravindra S. Hegadi, Umesh I. M., and Ravikumar

G. K., “Realistic Analysis of Data Warehousing and Data Mining

Application in Education Domain”, nternational Journal of Machine

Learning and Computing, Vol. 2, No. 4, August, 2012, pp. 419-422.

Venkata Sheshanna Kongara, D. Punyasesudu, “Data Warehousing

And Data Mining Applications For Atmospheric Studies,”

Proceedings of 5th IACEECE-2013, 22nd September, 2013,

Hyderabad, India. ISBN: 978-93-82702-30-6, pp. 75-83.

Mirta Baranovic, Mirjana Madunic, Igor Mekterovic, “Data

Warehouse as a Part of the Higher Education Information System in

Croatia”, 25th Int. Conf. lnformafion Technology lnterfaces /TI

, June 16-1 9, 2003, Cavtat, Croatia, pp. 121-126.

Fushan Wang, “ Application Research of an Intelligent Decision

Support System Based on Data Warehousing Technology”,

International Conference on E-Business and E-Government, IEEE

DOI 10.1109/ICEE.2010.448, pp.1773-1776, 2010.

Gadis Pujiningtyas Rahayu, Ridowati Gunawan, “ Penerapan

Slowly Changing Dimensions untuk Mendukung Pembentukan

Dimensi Dinamis Pada Data Warehouse”, Seminar Nasional

Aplikasi Teknologi Informasi (SNATI), Yogyakarta, pp. F-33-38,


Refbacks

  • There are currently no refbacks.