Aprilia, Dhea and , Ir. Arinda Soraya Putri, S.T., M.T. (2026) Penerapan Metode Six Sigma Dan Analisis Regresi Untuk Mengidentifikasi Cacat Produk Ndc Marico Sachet (Studi Kasus : PT Yafindo Marico Indonesia). Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
The high defect rate in NDC Marico Sachet products at PT Yafindo Marico Indonesia has led to material waste, increased rework, and decreased production efficiency. This study aims to identify types of defects and determine the dominant factors causing defects using the Six Sigma method and regression analysis. A quantitative approach was employed using the DMAIC (Define, Measure, Analyze, Improve, Control) framework. Data were collected through observation, interviews, and production documentation. The measurement results show an average DPMO of 51,568.94 with a sigma level of 3.15, indicating that the process capability is still at a moderate level. Analysis using Pareto diagrams, fishbone diagrams, and multiple linear regression reveals that the model is statistically significant (R² = 0.732). Partially, the method factor has the most significant effect on defect rates (p-value = 0.001), followed by the machine factor, while human and material factors are not statistically significant. Improvement efforts are focused on standardizing SOPs, optimizing start-up and maintenance procedures, and strengthening process control. Continuous implementation is expected to reduce defect rates and improve production quality.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Six Sigma, DMAIC, Cacat Produk, Regresi Linier, Nata De Coco. |
| Subjects: | T Technology > TI Industrial Engineering T Technology > TI Industrial Engineering > Production Process T Technology > TI Industrial Engineering > Quality Control |
| Divisions: | Fakultas Teknik > S1 Teknik Industri |
| Depositing User: | DHEA APRILIA |
| Date Deposited: | 13 May 2026 07:04 |
| Last Modified: | 13 May 2026 07:04 |
| URI: | http://eprints.ums.ac.id/id/eprint/145023 |
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