RANCANG BANGUN APLIKASI INVENTARIS MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE SIRKULASI PERGUDANGAN MATERIAL TEGANGAN TINGGI : STUDI KASUS PT. PLN SERPONG
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
DWIYANA, CINTYA
Sudirman, M. Yoga Distra
Fitriani, Yessy
Sudirman, M. Yoga Distra
Fitriani, Yessy
Subject
Teknik Informatika
Datestamp
2022-09-22 07:19:07
Abstract :
The problem is most common in high-voltage materials warehousing PT. PLN Serpong is the field of Logistic difficulties in determining the amount of material that must be available for the next month in order to still be able to meet the needs of customers without cause a buildup of material and minimize expenses. This application can reduce errors in material requests to be filled in the warehousing. The development model used is waterfall model and system design using Unified Modelling Languange (UML). The applied method is Weighted Moving Average because this method is able to give minimum value so that it can predict the stock of new material in warehousing. The prediction will be presented in Interface Material warning. The results of this application can present the information of minimum stock in the warehousing. This application can be measured with accuracy of ratio 43%. so there is no material overload occurs and we will know what materials should be supplied in the next month. The test used is a Blackbox.
The problem is most common in high-voltage materials warehousing PT. PLN Serpong is the field of Logistic difficulties in determining the amount of material that must be available for the next month in order to still be able to meet the needs of customers without cause a buildup of material and minimize expenses. This application can reduce errors in material requests to be filled in the warehousing. The development model used is waterfall model and system design using Unified Modelling Languange (UML). The applied method is Weighted Moving Average because this method is able to give minimum value so that it can predict the stock of new material in warehousing. The prediction will be presented in Interface Material warning. The results of this application can present the information of minimum stock in the warehousing. This application can be measured with accuracy of ratio 43%. so there is no material overload occurs and we will know what materials should be supplied in the next month. The test used is a Blackbox.
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