APLIKASI MANAJEMEN PERSEDIAAN UNTUK MULTI PRODUK (Studi Kasus: PT PLN (Persero) Distribusi Lampung)

PT . Perusahaan Listrik Negara ( Persero ) Distribution of Lampung is a State Owned Enterprise (BUMN) which plays an important role in the process of fulfilling the electricity in this country . PT . PLN ( Persero ) Distribution of Lampung itself not only provide electricity but also ensure the mate...

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Bibliographic Details
Main Authors: , GHAFAR ADITYA EDWANTIAR, , Ir. Janu Pardadi, MT.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/130258/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=70674
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Institution: Universitas Gadjah Mada
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Summary:PT . Perusahaan Listrik Negara ( Persero ) Distribution of Lampung is a State Owned Enterprise (BUMN) which plays an important role in the process of fulfilling the electricity in this country . PT . PLN ( Persero ) Distribution of Lampung itself not only provide electricity but also ensure the material required for the electrical conduction process in accordance with the needs of society or the consumer . The problem that arises is the incompatibility of the level of demand for material with availability of material that has become commonplace . This research was conducted at PT . PLN ( Persero ) Distribution of Lampung especially Area Office Tanjung Karang. The material under study, is the main material required for installation or new electrical installations to residential house, is Twisted Low Voltage Cable with a size 2 � 10 mm2and kWh meter . The study begins with the collection of data , followed by the determination of the pattern of the data and the selection of the most appropriate forecasting method . Then do the forecasting of material requirements by using a forecasting method that has the lowest error value . After the results obtained , the next step is calculation of safety stock and reorder point for each material in each Branch. Then the last step is to determine the inventory control system that accordance with the most optimal material characteristics and policies of the applicable stock in the company . Based on the analysis conducted , the results showed that each material has a pattern of data that is stationary , so the method according to the pattern of data and number of data are Naïve method , Moving Average Method , Single Exponential Smoothing and ARIMA . Then based on the results of forecasting demand calculation of safety stock and reorder point , which for safety stock calculation is done using the service level of 95 % . the most optimal system of inventory control for both material is using Economic Order Quantity