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All Journal Journal of Industrial Engineering Management Jurnal Industri dan Teknologi Samawa (JITSA)
Sawal, Ahmad
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Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

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INCREASING INVENTORY MANAGEMENT EFFICIENCY AT PT. XYZ'S MACHINE WORKSHOP THROUGH INTEGRATED APPLICATION DESIGN STRATEGY Nurwahidah, Andi; Sawal, Ahmad; Baharuddin, Andi Velahyati; Natsir, A Dian Sry Rezky; Lifana, Azizah Salsabila
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1798

Abstract

PT XYZ has a machine workshop unit that serves as a support system for the smooth operation of the factory. The machine workshop contains a tools area that houses consumable materials and equipment. The process of recording materials and equipment in the machine workshop still relies on Microsoft Excel, which takes a long time for the person in charge (PIC) to input data, especially when accessing the computer. Furthermore, supervisors and managers cannot directly monitor the materials and equipment. Therefore, a mobile application is needed to address these issues. The objective of this research is to design an inventory application for materials and equipment. The system design involves using data flow diagrams and utilizing Google Access as the database, along with AppSheet for application development. Based on operational results, it was found that this application can simplify data input for the PIC and enable monitoring by supervisors and managers.
PENERAPAN METODE PERAMALAN DALAM MENENTUKAN JUMLAH PRODUKSI OKKY KOKO DRINK LECI PADA PT. XYZ Nurulinzany; Sawal, Ahmad; Jamaluddin, Dirayati
Jurnal Industri dan Teknologi Samawa Vol 6 No 2 (2025): EDISI 12
Publisher : Program Studi Teknik Industri Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jitsa.v6i2.5963

Abstract

PT. XYZ is a company engaged in the soft drink manufacturing industry. One of its products is Okky Koko Drink Lychee. The production capacity of PT. XYZ is 6,000 boxes per shift. The problem that often occurs at PT. XYZ is the discrepancy between the company's work plan and budget (RKAP), production that has been determined at the beginning of the year based on actual data releases. So that the production planning that has been carried out by PPIC is considered less valid, because it is only based on historical data estimates. Based on the results of the study that has been carried out by determining data patterns using the eviews application using the Augmented Dickey Fuller (ADF) test, a trend data pattern is obtained and the methods used are Moving Average, Exponential Smoothing and Linear Regression. Using a smoothing constant with a value of M = 2-9 on the Moving Average, ? used in Exponential Smoothing 0.1-0.9 and x = 2 on Linear Regression. The method that has the smallest level of forecasting error is the Exponential Smoothing method with a value of a = 0.8, because it has a MAD value of 29,931.92, an MSE value of 1,328,504,000 and a MAPE value of 0.27% with a forecast value for the next period of 160,269. So a = 0.8 is the best for forecasting Okky Koko Drink Lychee at PT. XYZ
Co-Authors Andi Velahyati Baharuddin Jamaluddin, Dirayati Lifana, Azizah Salsabila Natsir, A Dian Sry Rezky Nurulinzany Nurwahidah, Andi