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All Journal INTERNAL (Information System Journal) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Digit : Digital of Information Technology Hawari: Jurnal Pendidikan Agama dan Keagamaan Islam INTERNAL (Information System Journal)
Zulkifli Arsyad
Politeknik Negeri Bandung
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Industrial & Manufacturing Engineering Other

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Journal : INTERNAL (Information System Journal)

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Analisis Dynamic ETL Incremental Load untuk Data Integration Datawarehouse Zulkifli Arsyad
INTERNAL (Information System Journal) Vol. 4 No. 2 (2021)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v4i2.260

Abstract

Data integration is a combination of techniques and businesses that are used to collect data from different sources into useful and valuable information ETL process that includes extracting data from various data sources, transforming data to form and calculate data and load data on target storage, to support data warehouse need. Based on organizations and industries that have implemented data warehouse, the problem that generally arises regarding data load is the difficulty in integrating different data sources, how to form data from various data formats into uniform data, how to integrate data delta between data sources and target storage in an incremental load process so that this data synchronization process can be carried out continuously and relatively faster. ETL process requires a platform that can facilitate data integration needs, in order to run this process. SSIS (SQL Server Integration Service) is a Data Integration platform to build an enterprise-level data integration and solutions for data transformation. Integration Service can extract and change data (transform) from various sources such as XML data files, flat files, APIs, and relational data sources, and then load into one or several destination data. According to the problem related to data load, we will examine how the solution model uses SSIS for the ETL process. This paper proposed an ETL Architecture model by completing the ETL process for full & incremental load extraction and the original data layer.
TEXT MINING MENGGUNAKAN GENERATE ASSOCIATION RULE WITH WEIGHT (GARW) ALGORITHM UNTUK ANALISIS TEKS WEB CRAWLER Zulkifli Arsyad
INTERNAL (Information System Journal) Vol. 2 No. 2 (2019)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v2i2.304

Abstract

Text mining is widely used to find hidden patterns and information in a large number of semi and unstructured texts. Text mining extracts interesting patterns to explore knowledge from textual data sources. Association rule extraction GARW (Generating Association Rule using Weighting Scheme) can be used to find knowledge from a collection of web content without having to read all the web content manually from the many search results of crawlers. The GARW algorithm is a development of a priori to produce relevant association rules. From the results of this knowledge discovery can facilitate netizens users in finding relevant information from search keywords without having to review one by one web content generated from search engine searches.
Co-Authors Ardhian Ekawijana Bakhrun, Akhmad Endang Habinuddin hazma hazma Ida Suhartini S, Waway Qodratulloh