QUALITY CONTROL ANALYSIS OF PADS USING STATISTICAL QUALITY CONTROL TO REDUCE PRODUCT DEFECTS
DOI:
https://doi.org/10.35261/barometer.v11i1.13171Abstract
This study aims to analyze quality control of pad products on the urethane line at PT XYZ using the Statistical Quality Control (SQC) approach. The main problem faced by the company is the high number of defective products, particularly porous and non-expanding defects, which significantly affect production efficiency and final product quality. This condition requires comprehensive analysis to identify main causes and formulate appropriate improvement actions. The analysis applies seven quality control tools: check sheets, histograms, control charts, fishbone diagrams, Pareto diagrams, scatter diagrams, and flowcharts. Results show that porous defects are dominant with 1.005 cases (61.66%), while non-expanding defects reach 625 cases (38.34%). Porous defects mostly occur in the Rear Seat Cushion Conventional part, whereas non-expanding defects dominate the Front Back RH MNL part. Based on the P control chart (p-chart), proportions of both defects are outside control limits, indicating the process is not statistically controlled and needs immediate corrective action. Fishbone analysis identifies causes from human, method, machine, material, and environmental factors. The scatter diagram shows a weak negative correlation between production volume and defects with R² = 0.289, indicating process quality influences defects more than production volume. As improvement, the company is proposed to implement the 5W+1H approach to address root causes, improve process stability, reduce defects.
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References
[1] A. S. Cahyaningtyas, A. N. Aeni, and H. N. Adipura, “Pengaruh Perkembangan Teknologi Pada Era Revolusi Industri 4.0 Terhadap Sumber Daya Manusia Dan Ketenagakerjaan Di Pasar Tenaga Kerja,” Bandung, 2023. [Online]. Available: https://www.researchgate.net/publication/374902074
[2] A. Braidy, S. Pokharel, and T. Y. ElMekkawy, “Research Perspectives on Innovation in the Automotive Sector,” Sustainabilit, vol. 17, no. 7, pp. 1–28, Apr. 2025, doi: 10.3390/su17072795.
[3] S. Nazia, M. Fuad, and Safrizal, “Peranan Statistical Quality Control (SQC) Dalam Pengendalian Kualitas: Studi Literatur,” Jurnal Mahasiswa Akuntansi Samudra (JMAS), vol. 4, no. 3, pp. 125–138, Jun. 2023.
[4] R. Zanuardi, “Analisis Pengendalian Kualitas Menggunakan Metode Statistical Processing Control (SPC) Pada UD HR Logam,” Semarang, 2023.
[5] F. A. Lestari and N. Purwatmini, “Pengendalian Kualitas Produk Tekstil Menggunakan Metoda DMAIC,” Jurnal Ecodemica: Jurnal Ekonomi, Manajemen, dan Bisnis, vol. 5, no. 1, pp. 79–85, 2021, [Online]. Available: http://ejournal.bsi.ac.id/ejurnal/index.php/ecodemica
[6] N. Kompyurini and A. Wulandari, “Optimalisasi Pengendalian Kualitas Produk melalui Pengukuran dan Evaluasi Biaya Kualitas,” Journal of Sharia Economics, Banking and Accounting, vol. 1, no. 2, pp. 79–91, 2024.
[7] E. N. A. S. Satya, W. Wahyudin, and R. P. Sari, “Perbaikan Kualitas Produk Tahu Bandung Di Tahu NR Menggunakan Metode Seven Tools Dan Heart,” Jurnal Rekayasa Sistem Industri, vol. 11, no. 1, pp. 35–46, Apr. 2022, doi: 10.26593/jrsi.v11i1.5069.35-46.
[8] P. Rahayu and J. Supono, “Analisis Pengendalian Kualitas Produk Menggunakan Metode Statistical Quality Control (SQC) Pada Divisi Curing Plant D PT. Gajah Tunggal, Tbk,” Jurnal Teknik: Universitas Muhammadiyah Tangerang, vol. 9, no. 1, pp. 81–91, 2020.
[9] D. I. Mahendra, P. Ramadhan, and Suseno, “Penerapan Metode Statistical Quality Control (SQC) Dalam Pengendalian Proses Produksi Roda Karet Pada Perusahaan Baja Makmur 2,” JURITEK Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer, vol. 3, no. 3, pp. 505–518, 2023.
[10] F. P. Zukhruf, A. E. Nugraha, and B. Nugraha, “Pengendalian Defect Visual dengan Pendekatan Statistical Quality Control sebagai Upaya Perbaikan Produk,” Angkasa Jurnal Ilmiah Bidang Teknologi, vol. 15, no. 2, pp. 190–202, 2023.





