Penetapan Metode Sig Sixma dalam Proses Pengendalian Mutu Produk Ikan Tuna Yellowfin (Thunnus albacares) Kaleng di PT. XYZ

Sabdania Sabita; A.S.F.Q.R Mubarok; B. Kusuma; A.W. Perdana

doi:10.59841/saber.v2i4.1895

Authors

Sabdania Sabita Universitas Brawijaya
A.S.F.Q.R Mubarok Universitas Brawijaya
B. Kusuma Universitas Brawijaya
A.W. Perdana Universitas Brawijaya

DOI:

https://doi.org/10.59841/saber.v2i4.1895

Keywords:

Quality Control, Canned Yellowfin Tuna, Sig Sixma, Product Damage

Abstract

Yellowfin tuna (Thunnus albacares) is a type of large pelagic fish that is spread in tropical and subtropical oceans throughout the world and is a leading export commodity of Indonesia. This field work practice aims to increase insightknowledge, skills, and experience in the tuna canning process. PT. XYZ is a company engaged in the export of fishery products in the form of tuna in cans. The processing process carried out begins with receiving raw materials, washing and thawing, cutting, then cooking, showering. Furthermore, pre-cleaning and cleaning, metal detecting, filling meat, filling medium, closing cans, sterilization, incubation, labeling and packing, and the stuffing process are carried out. The quality control method used is sig sixma, where the resulting DPMO value is 6.41 and sigma 440.382. Meanwhile, the control chart calculations obtained central line (CL) results, namely points 3,4, and 5. Meanwhile, points 6, 7, and 10 were above the central line (CL) and points 1, 2, 8, and 9 were below the center line (CL). Then the Paretto diagram shows that 31%, 45% of can lid scratch damage, and 60% of can body scratch damage.

References

Ahmad, R. W., Al Khader, W., Jayaraman, R., Salah, K., Antony, J., & Swarnakar, V. (2023). Integrating Lean Six Sigma with blockchain technology for quality management: A scoping review of current trends and future prospects. The TQM Journal, 35(7), 1609–1631.

Apriani, E. F., Hasanudin, M., & Hamida, N. (2024). Analysis of waste production by applying the Lean Six Sigma method to reduce effects on micro, small, and medium enterprises (MSMEs) of convection in Kudus. KnE Social Sciences, 1–15.

Araman, H., & Saleh, Y. (2023). A case study on implementing Lean Six Sigma: DMAIC methodology in aluminum profiles extrusion process. The TQM Journal, 35(2), 337–365.

Durroh, B., Daud, M., & Purba, J. H. (2023). Analysis of quality control of tea products using the fishbone diagram approach at PT Candi Loka, Indonesia. Asian Journal of Research in Crop Science, 8(1), 16–24.

Fadmawati, A. P., Apriani, R. A., Basuki, D. E., Azizah, N. A., & Arifa, D. E. (2024). Analisis pengendalian kualitas produk cacat di PT KPM menggunakan pendekatan Six Sigma. INTECOMS: Journal of Information Technology and Computer Science, 7(3), 692–702.

Febrina, W., & Fitriana, W. (2022). Exponential weight moving average (EWMA) control chart for quality control of crude palm oil product. International Journal of Management and Business Applied, 1(1), 19–27.

Freiesleben, J., Keim, J., & Grutsch, M. (2020). Machine learning and design of experiments: Alternative approaches or complementary methodologies for quality improvement. Quality and Reliability Engineering International, 36(6), 1837–1848.

Giganti, F., Allen, C., Emberton, M., Moore, C. M., Kasivisvanathan, V., & PRECISION Study Group. (2020). Prostate Imaging Quality (PI-QUAL): A new quality control scoring system for multiparametric magnetic resonance imaging of the prostate from the PRECISION trial. European Urology Oncology, 3(5), 615–619.

Khan, A., Munir, M. T., Yu, W., & Young, B. R. (2020). A review towards hyperspectral imaging for real-time quality control of food products with an illustrative case study of milk powder production. Food and Bioprocess Technology, 13, 739–752.

Peng, C., Zhu, Y., Yan, F., Su, Y., Zhang, Z., & Peng, D. (2021). The difference of origin and extraction method significantly affects the intrinsic quality of licorice: A new method for quality evaluation of homologous materials of medicine and food. Food Chemistry, 340, 127907.

Pitarch, J. L., Vilas, C., de Prada, C., Palacín, C. G., & Alonso, A. A. (2021). Optimal operation of thermal processing of canned tuna under product variability. Journal of Food Engineering, 304, 110594.

Ramos, M., Ascencio, J., Hinojosa, M. V., Vera, F., Ruiz, O., Jimenez-Feijoó, M. I., & Galindo, P. (2021). Multivariate statistical process control methods for batch production: A review focused on applications. Production & Manufacturing Research, 9(1), 33–55.

Simanova, Ľ., & Gejdoš, P. (2021). Implementation of the Six Sigma methodology in increasing the capability of processes in the company of the furniture industry of the Slovak Republic. Management Systems in Production Engineering, 29(1), 54–58.

Siregar, E. S. Y., Siregar, V. P., & Agus, S. B. (2018). Analisis daerah penangkapan ikan tuna sirip kuning Thunnus albacares di perairan Sumatera Barat berdasarkan model GAM. Jurnal Ilmu dan Teknologi Kelautan Tropis, 10(2), 501–516.

Sya’roni, M., & Suliantoro, H. (2019). Analisis pengurangan defect produksi dengan menggunakan metode Six Sigma pada unit painting smartphone merk Polytron (studi kasus pada PT. Hartono Istana Teknologi Kudus). Industrial Engineering Online Journal, 7(4).

Thakur, V., Akerele, O. A., Brake, N., Wiscombe, M., Broderick, S., Campbell, E., & Randell, E. (2023). Use of a Lean Six Sigma approach to investigate excessive quality control (QC) material use and resulting costs. Clinical Biochemistry, 112, 53–60.

Wiranto, A. (2023). Potential analysis of industrial waste using seven basic quality tools: Pareto diagram. International Journal of Economy, Education and Entrepreneurship (IJE3), 3(3), 907–920.

Yanamandra, R., & Alzoubi, H. M. (2022). Empirical investigation of the mediating role of Six Sigma approach in rationalizing the cost of quality in service organizations. Operations and Supply Chain Management: An International Journal, 15(1), 122–135.

Yulianti, F., & Gozali, L. Quality control analysis using DMAIC method and DPMO calculations on low voltage cable production: Case study at PT XYZ. Journal Title. [Replace Journal Title with the actual journal name if available.]

Zan, T., Liu, Z., Wang, H., Wang, M., & Gao, X. (2020). Control chart pattern recognition using convolutional neural networks. Journal of Intelligent Manufacturing, 31, 703–716.