ANALISIS DISTRIBUSI DAYA PEMAKAIAN LISTRIK PADA AREA PENGATUR DISTRIBUSI (APD) PT. PLN (Persero) MENGGUNAKAN OLAP (ONLINE ANALYTICAL PROCESSING)

Samsinar, Riza and Suseno, Djatmiko Endro and Widodo, Catur Edi and Suryono, Suryono and Mustafid, Mustafid (2017) ANALISIS DISTRIBUSI DAYA PEMAKAIAN LISTRIK PADA AREA PENGATUR DISTRIBUSI (APD) PT. PLN (Persero) MENGGUNAKAN OLAP (ONLINE ANALYTICAL PROCESSING). Skripsi (S1) thesis, Universitas Muhammadiyah Jakarta.

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Abstract

The technique of data warehousing online analytical processing has been used to manage and analysis the great capacity of data. OLAP method for processing data to analyze online, in process with ETL (Extraction, Transformation, Loading), cube designer dimension at start schema and result of report designer.The information in the form of graph is the distribution graph of the repeater load based on the repeating time per hour per month and per month, the total load distribution graph based on the location of the area and the main distribution and distribution of the repeater load based on the load of repetitive power and tarfo power. The results of the OLAP process show the great development of electric power loads on the related parts. Large power information analysis system at the load of repeatability can be an alternative in presenting information related to peak load. Area dimension analysis, Menteng Area has the largest total load with 17% preserntase and Serpong has the largest average with 8% percentage, Area dimension average has percentage range of 4% - 6%. The dimension of the main substation with the total load obtained percentage with the range of 2% - 4%, the largest total load on the Duri Kosambi substation has 4%. On the average dimension of the substation has a percentage range of 2% - 4%. Time dimension with total load and average gain percentage with range 5% - 6%. Key Words : Data Warehouse, OLAP, star Schema, power load Analysis.

Item Type: Thesis (Skripsi (S1))
Uncontrolled Keywords: Angka Kredit Dosen
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering / Fakultas Teknik > S1 Electrical Engineering / Teknik Elektro
Depositing User: Riza Samsinar
Date Deposited: 24 Dec 2021 07:14
Last Modified: 24 Dec 2021 07:14
URI: http://repository.umj.ac.id/id/eprint/7115

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