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All Journal Vocatech : Vocational Education and Technology Journal Jurnal VORTEKS Jurnal Derma Pengabdian Dosen Perguruan Tinggi (Jurnal DEPUTI) Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Jurnal ABDIMAS MUTIARA
Zurairah, Masdania
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Other

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Journal : Jurnal VORTEKS

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Analysis of potential hazards and risks of container loading and unloading activities on work at PT. Pelindo Multi Terminal Mahendra, Hamzah; Zurairah, Masdania; Refiza
Jurnal VORTEKS Vol. 5 No. 1 (2024): April 2024
Publisher : Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54123/vorteks.v5i1.350

Abstract

HIRARC is a hazard identification, risk assessment, and risk control process, which identifies potential hazards in ordinary and unusual business activities, including an assessment of potential hazards and strategies to mitigate risks. Work accidents can occur due to actions, human conditions, and mechanical factors. The research method is data analysis in the work process and container filling, then risk control of each process. The data in the hazard and risk assessment is a qualitative analysis in AS/NZS 4360:2004. 53 sources of danger were identified from 12 stages of work. The results of the risk evaluation showed a low-risk level of 32% with 18 sources of danger, a moderate risk level of 28% with 16 sources of danger, a high-risk level of 16% with 9 sources of danger, and an extreme risk level of 24% with 14 sources of danger. This study concludes that in the dismantling process there are four stages of work, namely starting from the opening of the hatch (3 sources of danger), stevedoring (20 sources of danger), cargodoring (4 sources of danger), and delivery (2 sources of danger). In the loading process, there are four stages of work, starting from receiving (6 sources of danger), cargodoring (4 sources of danger).
Integration of forecasting and MRP models for optimization of CPO raw material inventory in the palm oil industry Sitepu, Oky Febryanta; Zurairah, Masdania; Rezeki, Rahmad; Refiza; Lubis, Muhammad Fiza
Jurnal VORTEKS Vol. 5 No. 2 (2024): October 2024
Publisher : Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54123/vorteks.v5i2.429

Abstract

Inventory management of raw materials is a crucial aspect in ensuring the smooth production process of the palm oil industry. This study examines the effectiveness of integrating forecasting models and Material Requirement Planning (MRP) to optimize the inventory of Crude Palm Oil (CPO) raw materials at PT Salapian Indo Sawit. The palm oil industry in Indonesia represents about 3.5% of the national Gross Domestic Product (GDP) and provides employment for more than 17 million people. Inaccuracies in raw material inventory management lead to disruptions in the production process and inefficiencies in operational costs. The literature review shows that MRP methods with lot-for-lot techniques have been effectively implemented in various industries, but their application in the palm oil sector is still limited. The objective of this research is to analyze optimal forecasting methods for CPO raw material requirements and evaluate the efficiency of MRP implementation compared to conventional methods. The novelty of this research lies in the integration of forecasting methods (Moving Average and Single Exponential Smoothing) with MRP specifically for the palm oil industry, considering the unique characteristics of the palm oil supply chain. The study uses a descriptive quantitative approach with demand and historical production data from June 2020 to May 2021. The results indicate that the Single Exponential Smoothing method with ?=0.5 provides the best forecasting accuracy (MAPE=0.120; MSE=436.17). Implementing MRP with lot-for-lot techniques results in significant efficiencies, including a reduction in order frequency (26.67%), a reduction in order quantity (7.63%), and a reduction in initial inventory (8.10%). This study concludes that integrating an accurate forecasting model with the MRP system is effective for optimizing CPO raw material inventory and enhancing the operational efficiency of the company.
Co-Authors Asmara Sari Nasution Damanik, Rahmat Indrajaya Fazri, Muhammad Jayawarsa, A.A. Ketut Mahendra, Hamzah Misdawati, Misdawati Muhammad Fiza Lubis Refiza Refiza, Refiza Rezeki, Rahmad Riana Puspita, Riana Rigitta, Prinsi Saktisahdan, T. Jukdin Saragih, Edy Saragih, Edy Syahputra Simorangkir, Simon Petrus Siregar, Roswani Siregar, Zufri Hasrudy Sitepu, Oky Febryanta Zaharuddin Zaharuddin