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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Published by Universitas Indraprasta PGRI
ISSN : 25279661     EISSN : 25492837     DOI : http://dx.doi.org/10.30998/string.v4i3.6197
Core Subject : Science, Education,
Computer Science & IT Mathematics
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika
Articles 13 Documents
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Search results for , issue "Vol 9, No 3 (2025)" : 13 Documents clear
OPTIMALISASI PRODUKSI REPAIR UNIT MOBIL CACAT PART DENGAN ELIMINASI WASTE MENGGUNAKAN LEAN MANUFACTURING Abdurrahman, Rosyad Zaki; Sutrisno, Sutrisno
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 3 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i3.25989

Abstract

In the automotive industry, increasing competition requires companies to continuously optimize production processes to enhance quality and efficiency. PT. XYZ faces issues in the repair process of units with defective parts, causing production delays and unmet daily targets. This research aims to identify and eliminate waste occurring in the production process, particularly waste delays, by applying the Lean Manufacturing concept. The methods used are Value Stream Mapping (VSM) and Fishbone Diagrams to analyze process flow and identify the root causes of waste. Primary data were obtained through direct observation and interviews with relevant parties at PT. XYZ, while secondary data consisted of historical production records.The research results indicate that the most significant waste delays occur in the repair unit for vehicles with defective parts, caused by insufficient manpower, material delays, and suboptimal machine performance. Through improvement suggestions based on the 5W+1H analysis, PT. XYZ is expected to reduce time waste, improve production efficiency, and meet the set daily production targets. The application of Lean Manufacturing has proven effective in helping the company identify and address waste issues in the production process.
Analisis Pengendalian Kualitas Part Cap Front dengan Metode Seven Tools di PT KMIL Kurniawan, Agung Dwi; Nugraha, Asep Erik
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 3 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i3.25100

Abstract

PT Kurnia Mustika Indah Lestari (KMIL) is a company engaged in stamping and dies maker that produces several parts for motorbikes and cars. One of the parts produced by the company is the part cap front. Where in the production process, the part cap front often produces defective parts every day. So this study aims to analyze the factors causing defects in the part cap front and to provide suggestions for quality improvements. This study uses the seven tools method used to analyze data. The data used in this study comes from the part cap front production data for the period January 2024. The findings of this study indicate that there are two types of defects in the part cap front, namely oblique welding and scratch. From the results of the pareto diagram, it is known that oblique welding defects are the most dominant defects with 66%. The control chart p used to analyze the control limits produced UCL 0,015 and LCL 0,011. Factors to determine the cause of defects in the fishbone diagram are human factors, machines, methods, materials, and the environment. The proposed improvements in this study are to provide training to operators to improve their skills, routinely carry out machine maintenance schedules, and always pay attention to the SOPs set by the company.
Analisa Beban Kerja Mental Menggunakan Metode NASA-TLX Pada Divisi Operation PT Z Azzahra, Anisa; Nugraha, Asep Erik
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 3 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i3.25991

Abstract

Operations division employees in the telecommunications industry often face high mental workloads due to complex tasks, tight deadlines, and demands for accuracy and speed in their work. Excessive mental workload risks causing stress and reducing productivity. This research aims to evaluate the level of mental workload of PT Z operations division employees using the NASA-TLX method. NASA-TLX measures workload based on six main aspects: Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration Level. Data collection was carried out through questionnaires, then analyzed to obtain the average Workload Weighting Level (WWL). The results of the analysis show that the average WWL value is 74.61, which is categorized as high. The main factors contributing to high mental workload include task uncertainty, tight deadlines, long hours working in front of the computer, and intensive multitasking. As corrective steps, this research recommends adjusting workload, providing sufficient rest time, and improving the ergonomics of the work environment. It is hoped that these findings can help companies manage employee workload to improve their welfare and productivity.

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