Pemodelan Data Warehouse Distribusi Produk di PT. X

Abstract views: 1822 , PDF downloads: 2551
Keywords: Data Warehouse, OLTP, ETL, Monitoring


The purpose of this study is to provide an overview of the Head of Distribution of PT. X to support product distribution monitoring activities in terms of the number of products to be distributed to each branch office as needed. The problem that occurs is the large number and diversity of products required where each branch office is located far apart, cause the company difficulty in collecting product data that functions for the monitoring process. The solution to this problem is there needs a model that can be used to collect all the necessary data for monitoring product distribution using the Data warehouse method. This method is used to collect diverse data into a storage area so that users can quickly analyze the data needed. OLTP is part of the Data Warehouse, which is the initial stage of modeling data sources, then with ETL processes, which are the basis for modeling data warehouse schemes. So, this model can be used as a reference to produce useful information for managerial parties PT. X in the next study.


Download data is not yet available.


R. Kimball, M. Ross, The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, Indianapolis: John Willey & Sons, 2013.

S. Darudiato, “Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care,” Seminar Nasional Informatika (SEMNASIF), vol. 1 No. 5, no. 350-359, 2010

D. K. Widyawati, “Perancangan Struktur Data Warehouse untuk Mendukung Perencanaan Pemasaran Produk Menggunakan Star Schema,” Jurnal Ilmiah ESAI, vol. 6 No. 3, 2012.

J. Christian, “Model Data Warehouse Dengan Service Oriented Architecture Untuk Menunjang Sistem Informasi Eksekutif,” Jurnal TELEMATIKA MKOM, vol. 2 No 2, pp. 103-115, 2010.

D. J. Treiman, Quantitative Data Analysis: Doing Social Research to Test Ideas, John Wiley & Sons, 2014.

D. Dharmayanti, A. M. Bachtiar, A. Heryandi, “Pemodelan Data Warehouse pada Jurusan Teknik Informatika UNIKOM,” Majalah Ilmiah Unikom, vol. 12 No. 2, pp. 151-168, 2014.

I. Indrajani, Database Design, Elex Media Komputindo, 2015.

R. Thareja, Data Warehousing, Oxford Higher Education, 2009.

M. Golfarelli, S. Rizzi, Data Warehouse Design : Modern Principles and Methodologies, Mc Graw Hill, 2010

A. Supriyatna, M. Wahyudi, “Perancangan Data Warehouse Pada Perpustakaan Bina Sarana Informatika,” Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2012.

Softbless, “,” PT. Softbless Solution, 2016. [Online]. Available: [Diakses:18-1-2019].

F.Y. Al Irsyadi, “Implementasi Data Warehouse dan Data Mining Untuk Penentuan Rencana Strategis Penjualan Batik (Studi Kasus Batik Mahkota Laweyan)”, KomuniTi, vol. VI, No. 1, pp. 42 – 58, 2014.

A.R. Patel, “Data Modelling Techniques For Data Warehouse”, ZENITH, International Journal of Multidiscilinary Research, Vol. 1 Issue 2, ISSN 2231 5780, pp. 240 – 246, 2012.

F.W. Christanto, W.H. Utomo, E. Sediyono, “The Process of Data Tabulation Using Data Warehouse and OLAP Technology to Sales Analysis at Distributor Company”, International Journal of Computer Science Issues (IJCSI), Vol. 9 Issue 3 No. 2, pp. 46 – 53, ISSN (Online) 1694-0814, 2012.

S. Darudiato, “Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care”, Seminar Nasional Informatika 2010 (SemnasIF 2010) UPN “Veteran” Yogyakarta, pp. E-350 – E-359, ISSN 1979-2328, 2010.

A. Dahlan, E. Utami, E.T. Luthfi, “Perancangan Data Warehouse Perpustakaan Perguruan Tinggi XYZ Menggunakan Metode Snowflake Schema”, RESPATI, Jurnal Teknologi Informasi, Vol VIII No. 24, ISSN : 1907-2430, 2013.

PlumX Metrics

How to Cite
R. Susanto and T. H. M, “Pemodelan Data Warehouse Distribusi Produk di PT. X”, intensif, vol. 3, no. 2, pp. 196-205, Jul. 2019.