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All Journal IIJSE Serambi Engineering
Ivanda, Shabrina Tsalsabela
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Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering

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Implementasi Metode Autoregressive Integrated Moving Average Untuk Analisis Peramalan Permintaan Kalibrasi Pada PT XYZ Ivanda, Shabrina Tsalsabela; Joumil Aidil SZS
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

In an era of increasingly fierce industrial competition, service optimisation and operational efficiency are the main keys for companies to maintain competitiveness. This study aims to analyse and forecast the demand for calibration services at PT XYZ using the Autoregressive Integrated Moving Average (ARIMA) method. Calibration demand is an important indicator in managing company resources, so accurate forecasts can help PT XYZ improve operational efficiency and service quality. The data used in this study is secondary data that includes calibration demand data. The analysis process is carried out through several stages, including model identification, parameter estimation and diagnostic testing to ensure that the resulting model optimally reflects the historical data patterns. The ARIMA (1,1,1) model was identified as the best model with a low forecasting error rate, namely the Mean Absolute Percentage Error (MAPE) of 2.04%. The forecasting results show a predicted calibration demand of 9 requests per month for the period November 2024 to April 2025. These results provide strategic insights for PT XYZ to manage resources more effectively, such as scheduling staff, managing equipment capacity, and reducing customer wait times. This study also confirms that the ARIMA method has a good ability to capture seasonal patterns and trends, thus providing accurate forecasts for strategic planning.
Control of Wood Raw Material Inventory with Lagrange Multiplier Method in PT. XYZ Ivanda, Shabrina Tsalsabela; Aryanny, Enny
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 1: Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i1.7050

Abstract

XYZ is a company engaged in the manufacturing industry that uses wood as the main raw material located in the city of Surabaya. PT. XYZ has a problem of less-than-optimal control of raw material inventory which has an impact on the swelling of inventory costs and over capacity of storage space. This study aims to determine the control of wood raw material inventory according to the capacity of the storage space so as to provide a minimum total inventory cost at PT. XYZ. The method used is the Lagrange Multiplier method. Based on the results of the study, the total new storage space was 287.99 m³. The total annual inventory cost of Rp 130.753.379 is smaller than the company's method of Rp 152.898.329, the Lagrange Multiplier method provides savings of 14.48%. The size of the spruce wood order is 58.69 m³ with each order being 9 days, basswood wood is 34.42 m³ with each order being 13 days, and pine wood is 50.89 m³ with each order being 18 days. This study proves that the Lagrange Multiplier method is an effective approach to overcome storage capacity constraints, optimize order quantities, and minimize inventory costs.
Co-Authors Enny Aryanny Joumil Aidil Saifuddin