I Putu Susila Handika
STIMIK STIKOM Indonesia

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Perancangan datawarehouse dan teknologi business intelligence untuk analisa penjualan pada perusahaan retail PT. ABC I Putu Susila Handika; Putu Praba Santika
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v5i2.1309

Abstract

PT. ABC is one of the retail industries. PT. ABC already has 378 stores spread across Bali, Lombok, and Makassar. Curently PT. ABC has a POS cashier system and warehouse management system to help run its business processes. The problem that often occurs is when the data is more and more, the process of data analysis becomes less optimal because the data is processed very much and to many users who use the system. Thus datawarehouse and business intelligence technology are needed to process data and visualize data into information that can be easily analyzed by stakeholders. Datawarehouse modeling method used in this study is the nine steps kimball method, for ETL process tools are used from Pentaho data integration, and the data visualization process is used power business intelligence tools to be able to display data in graphical form so that stakeholders can analyze data quickly and easily. The application of data warehouses and business intelligence technology can be used and produce information that matches the needs obtained in the analysis of functional requirements. This is evidenced by the results of black box testing that has been received by all stakeholders of PT. ABC.
APLIKASI E-SURAT SEBAGAI UPAYA PENDUKUNG TATA KELOLA PEMERINTAHAN DI DESA KUKUH, KERAMBITAN, TABANAN, BALI I Putu Susila Handika; I Kadek Susila Satwika
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 6 No 2 (2021): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v6i2.1838

Abstract

The electronic based government system causes a change in the conventional mindset towards digitalization.. This was also done by Kukuh Kerambitan Village, Tabanan Regency, Bali Province. To Support the electronic based government system, research was carried out on the development of the E-Letter information system in Kukuh Kerambitan Village. This study aims to assist village officials in the letter disposition process to be faster and the process of making activity reports easier. This research was developed using the prototyping method so that users can evaluate the application at the design stage. The E-Letter application was built on a web basis using PHP programming language and laravel framework. From the results of the blackbox test, it shows that the E-Surat application has been running according to the functional needs and the results of the usability test also show that most of the average value of each question is greater than the middle value on the likert scale 1-7, which means the application can be accepted by the user.
INPLEMENTASI BUSINESS INTELLIGENCE DAN MARKET BASKET ANALYSIS UNTUK ANALISA DATA PENJULAN DI PT. ABC I Putu Susila Handika; I Gusti Agung Ayu Ari Satyawati
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 7 No 1 (2022): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v7i1.2091

Abstract

In the midst of the outbreak of the Covid-19 pandemic in 2020 in Indonesia, there was a change in the tendency of customer behavior to process shopping transactions, especially at minimarket outlets. With the implementation of physical distancing, customers are required to shop as effectively as possible to avoid accumulation in outlets. Company management must make a strategy to respond to changes in customer behavior. In this study, Business Intelligence and Market Basket Analysis methods were developed, namely Apriori to analyze customer behavior by analyzing sales transaction history. The results show that the Business Intelligence dashboard can display data in the form of graphs and tables, making it easier for users in the analysis process. In addition, the Association Rule using the Apriori method produces support and confidence values ​​as a description of interrelated products, so that merchandising parties can easily make decisions. The results of the blackbox test show that the application developed can be accepted by the user because all user needs can be completed by the application