Authors :
Femas Kurniawan; Fredy Setiawan Wibisono; Adriyan Akbar Hidayat; Wildhan Fakhri Novian
Volume/Issue :
Volume 10 - 2025, Issue 1 - January
Google Scholar :
https://tinyurl.com/3vex3k3s
Scribd :
https://tinyurl.com/3j9umen7
DOI :
https://doi.org/10.5281/zenodo.14621474
Abstract :
PT. XNI is a company that operates in the
automotive manufacturing sector, especially in the
production of motorbikes. Motorcycle products from PT.
XNI is the one that dominates the motorbike sales
marketing market with the most users currently in
Indonesia. This research aims to reduce NG [Not Good]
products in engines, as well as research controlling the
quality of engine products from motorbikes so that they
continue to improve and of course have quality. The
method used is using the SIX SIGMA method, namely by
Define, Measure, Analyze, Improve, Control and
presenting data using Statistical Process Control (SPC).
Month 1 The first week produced 5925 units, while the
second, third, and fourth weeks saw slightly lower
production, 5909, 5903, and 5911 engines respectively.
seen from the significant decrease in the number of
rejected products, namely from 5% in the first week to
3.91% in the fourth week and the 2nd month, first week
1.075%, second week 0.874%, third week 0.807%, fourth
week 0.536 with respective production results - 5956,
5948, 5952 and 5968 engines respectively. The results of
the analysis from week 1 to week 4 between months 1 and
2 show that the large number of reject products is caused
by several factors, namely the quality of raw materials,
namely motorbike parts, errors in the production process,
errors from operators, problems with machines or work
equipment. By minimizing or managing the factors above,
companies can reduce the number of rejected products
and improve overall production quality.
Keywords :
Manufacturing, Quality Control, SIX SIGMA, DMAIC, SPC.
References :
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- Pujo Mulyono, & Heryanto, A. Y. (2023). Analisis pengendalian mutu keju mozzarella menggunakan metode six sigma (studi kasus CV. ABC Malang). JENIUS : Jurnal Terapan Teknik Industri, 4(1), 57–65. https://doi.org/10.37373/jenius.v4i1.464
- Rekayasa, J., & Industri, I. T. (2018). Jurnal rekavasi. 6(2).
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- Robbi, N. (2023). Pengendalian Kualitas Produk Plastik Menggunakan Six Sigma Guna Meningkatkan Daya Saing. 9(1), 33–46.
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- Tegar Septiawan, Ricky Permadi, Y. P. (2024). MENGANALISIS PENYEBAB PRODUK NG (NOT GOOD) PADA PT. XYZ DENGAN METODE DMAIC. MENGANALISIS PENYEBAB PRODUK NG (NOT GOOD) PADA PT. XYZ DENGAN METODE DMAIC, 15(1), 37–48.
- Widyarto, W. O., Firdaus, A., & Kusumawati, A. (2019). Analisis Pengendalian Kualitas Air Minum dalam Kemasan Menggunakan Metode Six Sigma. Jurnal INTECH Teknik Industri Universitas Serang Raya, 5(1), 17. https://doi.org/10.30656/intech.v5i1.1460
PT. XNI is a company that operates in the
automotive manufacturing sector, especially in the
production of motorbikes. Motorcycle products from PT.
XNI is the one that dominates the motorbike sales
marketing market with the most users currently in
Indonesia. This research aims to reduce NG [Not Good]
products in engines, as well as research controlling the
quality of engine products from motorbikes so that they
continue to improve and of course have quality. The
method used is using the SIX SIGMA method, namely by
Define, Measure, Analyze, Improve, Control and
presenting data using Statistical Process Control (SPC).
Month 1 The first week produced 5925 units, while the
second, third, and fourth weeks saw slightly lower
production, 5909, 5903, and 5911 engines respectively.
seen from the significant decrease in the number of
rejected products, namely from 5% in the first week to
3.91% in the fourth week and the 2nd month, first week
1.075%, second week 0.874%, third week 0.807%, fourth
week 0.536 with respective production results - 5956,
5948, 5952 and 5968 engines respectively. The results of
the analysis from week 1 to week 4 between months 1 and
2 show that the large number of reject products is caused
by several factors, namely the quality of raw materials,
namely motorbike parts, errors in the production process,
errors from operators, problems with machines or work
equipment. By minimizing or managing the factors above,
companies can reduce the number of rejected products
and improve overall production quality.
Keywords :
Manufacturing, Quality Control, SIX SIGMA, DMAIC, SPC.