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All Journal Jejak digital: Jurnal Ilmiah Multidisiplin Journal of Literature Review
Widya Retno Prasinta
Universitas Teknologi Digital Bandung
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Integrasi Lean Manufacturing Dan FMEA Dalam Pengendalian Kualitas Produk Air Minum Dalam Kemasan : Sebuah Tinjauan Literatur Teti Febrianti; Widya Retno Prasinta
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 3 (2026): MEI 2026
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/rv65gj08

Abstract

The bottled drinking water (AMDK) industry demands consistent high quality and operational efficiency due to its direct relationship to public health. This study proposes improvements to the 330 mL bottled bottled drinking water production process at PT Muawanah Al Masoem Cikalang by integrating Lean Manufacturing and Failure Mode and Effect Analysis (FMEA) concepts. Lean Manufacturing is used to identify and eliminate waste through Value Stream Mapping (VSM), while FMEA is applied to analyze process failure risks and determine improvement priorities based on the Risk Priority Number (RPN). The integration of these two methods is expected to reduce lead times, reduce reject rates, and sustainably increase production efficiency.
Integrasi Seven Quality Control Tools dan FMEA dalam Analisis Pengendalian Kualitas Kendaraan Bertenaga Listrik: Sebuah Tinjauan Literatur Raehan Wisnu Wardana; Bambang Handoko; Widya Retno Prasinta; Anwar Samsa
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/dfnftz95

Abstract

The transition from conventional vehicles to electric vehicles offers a sustainable urban transportation solution. However, the reliability of electric vehicles, as the primary propulsion component, is critical to safety and operational efficiency. This literature review aims to analyze the application of quality control methods, specifically the Seven Quality Control Tools and Failure Mode and Effect Analysis (FMEA), in maintaining electric vehicle performance in electric vehicles. The review method was conducted by synthesizing previous research related to electric vehicle failures, quality control tools, and risk management in the automotive and manufacturing industries. The review results indicate that the Seven Quality Control Tools are effective in identifying historical defect patterns such as overheating and bearing failure, while FMEA provides a proactive approach for calculating the Risk Priority Number (RPN) to prioritize mitigation actions. The integration of these two methods offers a comprehensive framework for improving product quality and operational reliability. It is concluded that the combination of reactive analysis (Seven Quality Control Tools) with proactive risk assessment (FMEA) is crucial for the development of reliable electric vehicle systems.
Analisis Beban Kerja Mental Menggunakan Metode NASA Task Load Index (NASA-TLX): Sebuah Tinjauan Literatur Meisal Maulana; Widya Retno Prasinta; Abdul Rojak; Anwar Samsa
Journal of Literature Review Vol. 2 No. 2 (2026): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/4ffad122

Abstract

Mental workload is one of the ergonomic factors that can affect workers' performance, productivity, and well-being in the manufacturing industry. High job demands, time pressure, and the need for sustained concentration may increase the mental workload experienced by operators. Therefore, an appropriate method is required to measure mental workload systematically and objectively. This literature review aims to analyze the application of the NASA Task Load Index (NASA-TLX) method in assessing mental workload across various industrial sectors and to identify the dominant dimensions influencing workers' mental workload. This study employed a Systematic Literature Review (SLR) approach by analyzing a number of journal articles and references related to mental workload assessment using the NASA-TLX method. The findings indicate that NASA-TLX is widely used because it evaluates six dimensions of workload, namely Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration Level. Based on the synthesis of previous studies, the mental workload of industrial workers is generally classified as high, with Mental Demand, Effort, and Temporal Demand identified as the most dominant dimensions. High mental workload is mainly influenced by task complexity, production targets, time constraints, and the need for sustained concentration. These findings demonstrate that NASA-TLX is an effective method for identifying the sources of mental workload and can serve as a basis for improving work systems, enhancing ergonomics, and optimizing human resource management. Furthermore, this review provides insights into the potential application of the NASA-TLX method for analyzing the mental workload of electric tricycle assembly line operators at PT Pindad.
Co-Authors Abdul Rojak Anwar Samsa Anwar Samsa Bambang Handoko Meisal Maulana Raehan Wisnu Wardana Teti Febrianti