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All Journal ITEj (Information Technology Engineering Journals) Barometer
Saifuddin Z.S, Joumil Aidil
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics

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A FORECASTING ANALYSIS OF CAR WHEEL RIM DEMAND AT PT. XX TO REDUCE WASTE USING POM-QM SOFTWARE Paramitha, Aditya; Saifuddin Z.S, Joumil Aidil
BAROMETER Vol 8 No 2 (2023): Barometer
Publisher : Fakultas Teknik, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/barometer.v8i2.7702

Abstract

PT. XX is one of the car wheel rim companies in Indonesia whose products are sent to a number of local and international assembly companies. The main goal of this research is to forecast the demand for car wheel rim production using three forecasting methods at PT. XX. The research results are in the form of the value of demand forecasting calculation along with the error rate. It is known that there are three methods used, namely Single Moving Average, Weighted Moving Average, and Single Exponential Smoothing methods. Based on calculations from the POM-QM software, the method that is suitable to be applied in this research is the Weighted Moving Average method because the smallest error value is obtained as in the MAPE error value is 12.124%, the Mean error value is 1177.773 the MAD error value is 24587.23, the MSE error value is 1099377000, and the forecast value in the next period is 243013 units. Through this research and forecasting, the writer hoped that PT. XX could consider it a plan for the next batch of production.
A Analysis of Machine Maintenance System Using Preventive Maintenance Method with Always Better Control (ABC) Classification and Modular Design Fadhli, Mohammad; Saifuddin Z.S, Joumil Aidil; Winursito, Yekti Condro
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.204

Abstract

Companies must pay special attention to the machines used to make goods because if the machine is damaged, the resulting product will be damaged or the product will take a long time in the production process. By performing regular machine maintenance, companies can maintain and extend the service life of the machine. PT XYZ is a company in Indonesia that has an installed production capacity of 29 million tons of cement per year. The company uses a continuous production system, namely ensuring that all machines are in good condition so that the production process does not experience delays or losses. The results of observations show that the packer operation is the production process with the longest waiting time, with the Roto packer 638PM1 being the machine with the longest waiting time. Corrective and preventive maintenance are two types of maintenance currently used, and the current preventive maintenance strategy is currently suboptimal. This study aims to develop an efficient preventive maintenance system by providing preventive maintenance recommendations using the design modularity method and the Always Better Control (ABC) classification. By combining the classification of machines between critical levels and the utility value of each machine component, operational efficiency will increase, the risk of production disruptions caused by critical component shortages and unnecessary storage costs will be reduced. By applying this method, the total maintenance cost incurred is Rp. 771,782,456, this result has a difference of Rp. 406,113,204 smaller than the total maintenance cost currently used by the company, which is Rp. 1,177,895,660. The results demonstrate that the proposed maintenance method is effective and feasible, achieving a 34.47% cost efficiency improvement over the company’s current maintenance system.
Co-Authors Fadhli, Mohammad Paramitha, Aditya Winursito, Yekti Condro