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Review: Journal of Multidisciplinary in Social Sciences
Published by PT Lentera Ilmu Nusantara
ISSN : -     EISSN : 30316375     DOI : https://doi.org/10.59422/rjmss.v1i03
Core Subject : Economy, Science, Education, Social,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences
Review: Journal of Multidisciplinary in Social Sciences, published by Lentera Ilmu Nusantara. Review: Journal of Multidisciplinary in Social Sciences accommodates the publication of Multidisciplinary Research results in the field of Social Sciences conducted by Lecturers as a manifestation of the Tri Darma of Higher Education. Review: Journal of Multidisciplinary in Social Sciences is an electronic journal that is professionally managed using the Open Journal System, published 12 times a year, namely every month.
Arjuna Subject : Umum - Umum
Articles 2 Documents
 1 
Search results for , issue "Vol. 2 No. 12 (2025): December 2025" : 2 Documents clear
Analysis of Layout Design Discrepancies Generated in the Proofreading Process for Product Quality Improvement in the Label & Packaging Manufacturing Industry: Evidence from XYZ Company Fajar, Fahri Fadilah; Yaqin, Maulana Ainul; Nuraini, Salsabila Syifa; Trisna, Trisna; Prastyo, Yudi
Review: Journal of Multidisciplinary in Social Sciences Vol. 2 No. 12 (2025): December 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/rjmss.v2i12.1100

Abstract

PT XYZ Packaging Indonesia is a company that produces various types of packaging for the garment industry, such as labels, stickers, printed labels, and related accessories, with integrated services from concept to execution. This research analyzes design layout discrepancies in the proofreading process, including content shifts, color errors, text format, cutting lines, fonts, as well as barcode and style/PO mismatches, which impact increased rejections, potential customer complaints, and production losses. In the last three months, the company recorded an average proofreading defect of 15%, mainly due to content errors of 10%. Using the PDCA method, the research identified root causes such as the absence of visual inspection standards, inconsistent work instructions, high workload, and suboptimal digital proofing. Through PDCA, improvements were implemented including standard checklists, two-step verification, increased operator training, and integration of automatic preflight software which reduced proofreading errors to 0%. These results confirm that PDCA effectively improves design layout accuracy and reduces rejects, as well as highlighting the importance of prepress-based quality control in the label and packaging industry.
Preventive Analysis of Polymer Leakage in Injection Molding Machines and Its Impact on Production Efficiency Rafli, Muhamad; Maulana, Dandi; Rachmadi, Tri; Takuya, Takuya; Prastyo, Yudi
Review: Journal of Multidisciplinary in Social Sciences Vol. 2 No. 12 (2025): December 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/rjmss.v2i12.1101

Abstract

This study examines the causes and impacts of polymer leakage in a 500-ton injection molding machine, which frequently occurs at the nozzle and sprue bushing junction. Leakage is caused by seal wear, excessive injection pressure, and nozzle misalignment, which enlarges microgaps. Measurements show that at a pressure of 150 MPa and a temperature of 250°C, the leakage rate reaches 20–100 ml/h. Through Autodesk Moldflow simulations, the nozzle-sprue transition area was identified as the point of maximum pressure (152 MPa) with the highest leakage potential, thereby extending conventional maintenance diagnostics through simulation-based identification of critical stress zones rather than relying solely on routine visual inspection. After optimizing the design and process parameters including reducing the injection pressure to 140 MPa, using heat-resistant Viton seals up to 250°C, and readjusting the nozzle position the leakage rate decreased by 70% (from 60 ml/h to 18 ml/h). The output of this study is a leak prevention model based on visual inspection, direct measurement, and numerical simulation, which distinguishes this work from standard industrial troubleshooting by integrating predictive simulation with quantitative cost-saving analysis, enabling an increase in production efficiency by ± 5 percent and operational cost savings of approximately US$1,800 per year per machine.

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