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Journal : Jurnal Industri dan Inovasi (INVASI)

Metode Analisis Risiko Kerusakan Mesin Produksi di Indonesia: Literature Review Pamungkas, Iing; Irawan, Heri Tri; Basuki, Mahmud; Ridha, Arrazy Elba; Adib, Adib; Syahputra, Rizki Agam; Widarta, Fajar Okta
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Publisher : Universitas Teuku Umar

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Abstract

Production machines are specially designed to perform various tasks such as processing, assembly, packaging and more depending on the type of production and the industry involved. However, damage to production machines is unavoidable with such a task. Machine damage can occur due to various factors, such as excessive use, inadequate maintenance, worn components, design errors and many more. Damage to the machine certainly raises risks, both measurable risks and immeasurable risks. The risk of machine failure can have a serious impact on the productivity, reliability and operating costs of a business. The use and application of risk analysis methods or approaches can be used to minimize the occurrence of excessive risk. The purpose of this research is to find out various methods of risk analysis of production machine damage in various industries in Indonesia. This research uses a systematic method by reviewing the literature from various published articles which are then identified and analyzed which focus on various production machine damage risk methods used in various industries in Indonesia. The results of the study show that there are several methods of analyzing the risk of damage to production machines that are commonly used in Indonesia, such as failure mode and effect analysis (FMEA, FMECA, fuzzy FMEA), risk based maintenance (RBM), fault tree analysis (FTA), fishbone diagram, enterprise risk management (ERM), failure tracking matrix (FTM), total quality control (TQM), logic tree analysis (LTA), overall equipment effectiveness (OEE), Hazard operability (Hazop), and certainty factor and forward chaining. Some of these methods are generally integrated with various other methods or approaches to obtain optimal results.
Enhancing Performance of Small and Medium Enterprises (SMEs) through Supply Chain Integration - An Examination of the Fisheries Sector in Aceh Rizki Agam Syahputra; Muhammad Reza Aulia; Yulia Annisa; Iing Pamungkas; Adib Adib
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Publisher : Universitas Teuku Umar

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Abstract

This article proposes an qualitative approach to determine the underlying dimensions of Supply Chain Management integration and its relation to performance among small firm in Aceh, Indonesia  with special emphasis on the tuna industry.. The overall aim of the study is to better understand successful SCM practices which have been implemented by small industry in Aceh and the challenges faced in the process. This paper uses qualitative data, which was collected from open-ended interviews with stakeholders in a leading Aceh tuna business, together with the SCOR model, which is used to define supply chain processes and associated key performance indicators (KPI). The result of this research indicates that the industry regards flexibility, efficiency, and quality as the most important indicators in their supply chain operation. however, factors such as financial, SCM expertise, infrastructure and resource create a barrier in implementing an effective supply chain. Further to this, Successful SCM strategies improving SCM performance were identified based on each performance indicators. The result of this paper is expected to contribute to theoretical and practical knowledge of SCM practice, and to develop recommendation for future development of industry with small-scale capabilities.
Analysis of Factors Affecting Workforce Productivity in the Steel Tower Production Division of PT X Syahputra, Rizki Agam; Arifin, Riski; Pamungkas, Iing; Ridha, Arrazy Elba; Irawan, Risnadi; Nova, Nova
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 2 (2025): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i2.11774

Abstract

This study analyzes the impact of age, wages, work environment, working hours, and work experience on workforce productivity in the Steel Tower Production Division of PT X using multiple linear regression (SPSS 16). The analysis includes validity, reliability, multicollinearity, heteroscedasticity, and hypothesis testing. Results show no multicollinearity or heteroscedasticity issues. The R² value (0.545) indicates that 54.5% of productivity variance is explained by the independent variables, while 45.5% is influenced by other factors. However, F-test and T-test results indicate that none of the variables significantly affect productivity.This suggests that other factors, such as motivation or job satisfaction, may play a larger role. Future research should explore these aspects to gain deeper insights.
Sistem Dinamis sebagai Alat Analisis dan Pengambilan Keputusan di Indonesia: Literature Review Pamungkas, Iing; Akmal, Abdiel Khaleil; Irawan, Heri Tri; Syahputra, Rizki Agam; Ridha, Arrazy Elba; Zhaqiri, Hazdfi; Fadjrin, Sitti
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 2 (2025): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i2.11618

Abstract

This research aims to conduct a comprehensive literature review on the application of dynamic system simulation as a decision-making tool. This research is motivated by the complexity of modern problems that require appropriate analytical tools to support better decision-making. The method used in this research is a systematic literature review by following structured steps to ensure that this research is comprehensive and unbiased. The results of this study indicate that dynamic systems are powerful and relevant analytical tools across sectors. With its ability to model dynamic interactions and simulate future scenarios, dynamic systems can help stakeholders make better decisions and achieve more sustainable results in facing complex challenges in the modern era. This study also identifies several challenges in the application of dynamic system simulation, such as lack of awareness of its benefits, lack of expertise in building and analyzing simulation models, as well as limited in-depth research on its application in various contexts. Therefore, further research is needed to address these challenges and improve the application of dynamic system simulation in decision making.