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All Journal Journal Industrial Servicess Journal of Industrial View
Muhammad Ilham Adelino
Universitas Putra Indonesia YPTK
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Non-stationary time series data for natural rubber inventory forecasting: A case study Muhammad Ilham Adelino; Meldia Fitri; Mohammad Farid
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.17778

Abstract

PPLK Corp. is a company that uses natural rubber as the main raw material to produce crumb rubber. The problem identified in PPLK Corp. is the insufficient amount of natural rubber received to produce and fulfill consumer demand. There have been fluctuations in the amount of natural rubber received and high variability between periods. To minimize this variability, it is necessary to forecast natural rubber requirements. The purpose of this study is to forecast the natural rubber inventory for the next periods using the best-fitted model, which is the Autoregressive Integrated Moving Average (ARIMA) method. A total of 547 daily data points from 2021 to 2022 were used. As a result, the ARIMA (1,1,2) model was found to be the best model for natural rubber forecasting in the rubber factory. The ARIMA (1,1,2) model had the smallest AIC value compared to others. The total daily natural rubber need is forecasted to be around 67.588 kilograms with a range between 64.805 and 70.421 kilograms per day. However, it should be noted that this study was limited to short-term forecasting only.
Evaluating Musculoskeletal Disorder Risk Factors through Quick Exposure Check: A Case Study in a Crumb Rubber Factory Andhini Kumala; Muhammad Ilham Adelino; Meldia Fitri
Journal of Industrial View Vol. 6 No. 1 (2024)
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jiv.v6i1.11926

Abstract

Manual Material Handling (MMH) encompasses activities such as lifting, moving, carrying, pulling, and lowering materials or finished goods, relying on manual human power. The pressing workstation in the crumb rubber factory is a setting where MMH tasks are performed. Workers at this station are involved in lifting and moving bandelas weighing approximately 35 kg daily, without the aid of assistive devices, thereby exposing them to potential risks of musculoskeletal disorders. This study is designed to assess the work posture of employees at the pressing workstation concerning the risk of musculoskeletal disorders in the crumb rubber factory. The Quick Exposure Check (QEC) method was employed for evaluation, utilizing data collected through the QEC questionnaire from a total of 10 workers. The results showed that 80% of workers were at high risk of developing musculoskeletal disorders, characterized by an exposure level score of more than 70% and requiring improvement and change as quickly as possible. In contrast, 20% of workers showed exposure levels below 70% and required immediate remediation. This research contributes to increasing employee awareness of the risks of GMS and the importance of ergonomic work practices. This increased awareness can contribute to reducing the incidence of injuries and improving the welfare of workers in rubber factories.
Co-Authors Andhini Kumala Fitri, Meldia Mohammad Farid