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All Journal Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri ADI Journal on Recent Innovation (AJRI)
Cicilia Sriliasta Bangun
Universitas Esa Unggul
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering

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Application of SPC and FMEA Methods to Reduce the Level of Hollow Product Defects Cicilia Sriliasta Bangun
JTI: Jurnal Teknik Industri Vol 8, No 1 (2022): JUNI 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v8i1.16681

Abstract

PT. Surya Baja Pipa Indonesia (SBPI) is a manufacturing company that produces hollow and pipe from rolled iron plate. The production data showed that during January up to October 2021 there were still defects products with the percentage greater than 5%, the specified tolerance limit for defects. In order to maintain quality and increase production efficiency, PT. SBPI strives to reduce the defect rate. This study aims to reduce the level of defect by using Statistical Process Control methods and the Failure Mode and Effects Analysis (FMEA) method to analyze the level of the worst defects by finding the highest damage value Risk Priority Number (RPN). Histogram showed that the biggest defect occurs in welding (7,51%). Analysis using Fishbone diagram found that the welding defect mostly occur due to human factor/workers, machines, methods, materials, and the environment. The result of FMEA method analysis showed machine setting had the highest RPN and became the first priority to solve. It happened because there is no SOP yet that contains definite engine parameters, such as engine speed and voltage. Based on these results, this study suggests companies to prepare SOPs to be a guide for operators at work.
Influence Of Third Party Funds on Credit Distribution Husin; Cicilia Sriliasta Bangun; Toni Suhara; Nanda Septiani; Alexander Williams
ADI Journal on Recent Innovation Vol. 4 No. 1 (2022): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v4i1.749

Abstract

The purpose of this research is to identify the influence of Third-Party Funds, Non-Performing Loans (NPL), and Return on Assets on Credit Distribution. As well as the role of ROA which becomes mediation in PT. XYZ. This study uses samples in the form of publication balance sheet reports from PT. XYZ in the period 2019-2021. This research is a quantitative research using SEM PLS techniques through the help of smart pls 3.0 software. The results of the study found that DPK significantly affects PK, with a statistical T value of 6,556 > 1.96 and the original sample of -0.773. The absence of influence of NPL on PK due to its statistical T value of 0.868 < 1.96 and the original sample of -0.146 has a negative relationship to credit distribution. ROA has no direct influence on PK with a statistical T value of 0.006 < 1.96 and the original sample of -0.002 has a negative relationship meaning to PK. DPK had a significant negative influence on ROA with a statistical T value of 2,966 > 1.96 and the original sample of -0.657 having a negative relationship direction. There is no effect of NPL on ROA with a Statistical T value of 0.205 < 1.96 and the original sample of 0.056 has a positive relationship to ROA. NPL has no influence over PK through ROA mediation with its Statistical T value of 0.001<1.96.  
Co-Authors Alexander Williams Husin Nanda Septiani Toni Suhara