Penerapan Metode Statistical Process Control terhadap Kualitas Benang 40 CD KNB Pada Proses Warping di Perusahaan PC GKBI
DOI:
https://doi.org/10.61132/manufaktur.v3i3.1028Keywords:
Statistical Process Control, warping, quality controlAbstract
In the textile industry, quality control is a crucial aspect to ensure the stability and consistency of production results. One of the important stages in yarn production is the warping process, which has a significant influence on the quality in the subsequent process. This study aims to apply the Statistical Process Control (SPC) method to assess the quality of 40 CD KNB yarn in the warping process in the GKBI PC company, Preparation Department, and determine whether the process is already in a controlled condition. Currently, the average quality and amount of monthly yarn production show fluctuations with a downward trend of 1.64 per 5,000,000 meters in the period February–July 2024. This figure is below the company's daily production target of 1.00 per 5,000,000 meters, so the target has not been achieved. This discrepancy indicates the need for a more systematic evaluation and improvement of the quality control system. Based on the analysis of the X-Bar control chart in January 2025, two data points were found outside the control limits (UCL = 176.8; LCL = -29.5; average = 73.6), ie on January 4 and 20. The main cause of such uncontrollability is the weak yarn that comes from the rewinding process. Check sheet analysis and Pareto diagram shows that the most common factors causing thread breakage are weak threads. Furthermore, through the cause-and-effect diagram (fishbone diagram), it was identified that the factors that cause thread breakage come from four categories: human (HR), material (raw material), environment, and machine. Of the four factors, human resources and material aspects are the biggest contributors to influence. Therefore, it is recommended that quality control at PC GKBI be strengthened through training and counseling programs to employees, in order to improve skills and awareness of the importance of quality. This step is expected to reduce the rate of yarn breakage, maintain the stability of the production process, and ensure consistent achievement of company targets.
References
Assauri, S. (1998). Manajemen operasi dan produksi. LP FE UI.
Brook, D., & Burr, I. W. (1980). Elementary statistical quality control. Journal of the Royal Statistical Society: Series A (General), 143(1), 91. https://doi.org/10.2307/2981790
Bustami, K., & Nurlela. (2007). Akuntansi biaya. Graha Ilmu Center.
Kholmi, M., & Yuningsih. (2009). Akuntansi biaya. UMM Press.
Montgomery, D. C. (2001). Introduction to statistical quality control (4th ed.). John Wiley & Sons.
Mursyidi. (2008). Akuntansi biaya (Cetakan pertama). PT Refika Aditama.
Purnama. (2016). [Title not provided]. Fakultas Teknik Industri, Universitas Pembangunan Nasional “Veteran” Yogyakarta.
Putri, S. A. P., & Karima, H. Q. (2022). Analisis pengendalian kualitas benang TCM 40’Sk pada proses winding menggunakan metode statistical process control di PT Delta Dunia Tekstil IV. Jurnal Rekavasi, 10(1), 9–17. https://doi.org/10.34151/rekavasi.v10i1.3713
Ramlawati. (2020). Total quality management.
Sakinah. (2019). No title. ΕΛΕΝΗ. Αγαη, 8(5), 55.
Smith, G. M. (2003). Statistical process control and quality improvement (5th ed.). Pearson Prentice Hall.
Sriwidadi, T. (2001). Manajemen mutu terpadu. Journal The Winners, 2, 107–115. https://journal.binus.ac.id/index.php/winners/article/view/3817
Sugiyono. (2019). Metodologi penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Wijaya, T. B. (2020). Peningkatan kualitas imperfection indicator (IPI) benang P/C Ne 1 45 pada mesin ring spinning Toyoda model RY dengan setting variasi. Jurnal Teknika Atw, 95–102.
Yusuf, M. Y., & Riandadari, D. (2016). Analisis kualitas produk menggunakan metode SPC dan RPN untuk mengurangi jumlah cacat produk kantong plastik: Studi kasus di PT HSKU. Jurnal Teknik Mesin, 4(2), 185–191.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



