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Experimental Analysis of the Effect of Printing Parameters of 3D Printer FDM Machine on Dimensional Error and Surface Hardness of PLA+ Material Ibnu Abdul Rosid; Rama Sahtyawan; Grita Supriyanto Dewi; Putri Noviana Nih Pratama
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i2.11210

Abstract

PLA material is one of the most commonly used materials in Fused Deposition Modelling 3D printers for various purposes. The quality of the printed part can be assessed from its dimensional accuracy and surface hardness. The method used to determine the appropriate parameters for achieving optimal results is the 2k factorial design method. The parameters studied include BTT, WT, and FP. The levels for BTT were set at 1 mm and 3 mm, WT were 1 mm and 2 mm, and FP consists of concentric and lines. Statistical analysis revealed that several parameters significantly influence the response. The statistical analysis results show factors with a P-value < 0.05 (α = 0.05). The WDE response shows an interaction between BTT, WT, and FP. The HDE response indicates that the interactions between BTT and WT, BTT and FP, WT and FP, and WT affect HDE. In the SH response, the factors BTT, WT, and the interaction between WT and PT affected SH. Meanwhile, in the LDE response, all factors had P-values > 0.05. This study also found that WT individually affects HDE, WDE, and SH. On the other hand, the WT factor interacts with BTT and FP to affect SH.
IDENTIFYING NON VALUE ADDED ACTIVITIES USING VALUE STREAM MAPPING TO REDUCE WASTE IN THE PVC CEILING INDUSTRY Rita Aprilia; Grita Supriyanto Dewi; Ibnu Abdul Rosid
Journal of Industrial and Mechanical Engineering Vol 4 No 1 (2026): Journal of Industrial and Mechanical Engineering
Publisher : Department of Industrial Engineering, Universitas Jenderal Soedirman.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jimien.2026.4.1.20908

Abstract

Production processes in the manufacturing industry still include activities that do not add value and could reduce productivity. This situation was observed in the PVC ceiling production process at PT XYZ, where production targets have not been fully met due to waste in the process flow. This study aims to identify non value added (NVA) activities and formulate process improvement proposals using the Lean Manufacturing approach with the Value Stream Mapping (VSM) method. The research was conducted through direct observation in the production area, interviews with relevant parties, and the collection of company data covering process flow, cycle time, waiting time, and transportation activities. The initial phase of the study began with creating a SIPOC diagram to provide an overview of the business process, followed by current-state mapping to categorize activities into VA, NVA, and NNVA. The mapping results revealed that the production process is still dominated by NNVA activities, particularly waiting time, repetitive transportation, and inconsistent application of work procedures. Based on these findings, improvement proposals were developed, focusing on waste reduction, material handling optimization, and SOP development. The results of this study are expected to assist the company in gradually and sustainably improving production process efficiency.