CPO Product Quality Control at PT. Kurnia Mitra Sawit Using The T2 Hotelling Method
Abstract
This study aims to analyze the stability of the Crude Palm Oil (CPO) production process at PT. Kurnia Mitra Sawit through a multivariate quality control approach using the T² Hotelling method. The background of this study is based on the importance of maintaining CPO quality in accordance with company standards, especially for key quality parameters such as Free Fatty Acid (FFA), moisture content, and dirt content. Uncontrolled parameters can reduce product quality and affect the selling price of CPO in the market. The research was conducted by collecting production data and performing statistical tests using the T² Hotelling diagram to detect simultaneous process variations. Initial analysis results showed that several samples were outside the upper control limit (UCL), indicating specific causes in the production process. However, after repeated improvements and controls, all data points were finally within the control limits, with a UCL value of 18.68 and a median of 3.70. This indicates that the production process is statistically controlled and contains only natural variation. Thus, this method is effective for monitoring the stability of the CPO production process and preventing quality deviations in the future.
Keywords
Full Text:
PDFReferences
Rahayu, S. R. I. (2022). Quality Control of Crude Palm Oil (CPO) Using a Statistical Quality Control (SQC) Approach at PT Perkebunan Nusantara XIV PKS Luwu.
Gratia, T., Tarigan, R., Sukarsono, B. P., Industri, D. T., Teknik, F., Diponegoro, U., Soedarto, J. P., & Tembalang, K. U. (2021). Quality Control Of Crude Palm Oil (Cpo) Products Using The Six Sigma Method (Case Study of PT Supra Matra Abadi).
H. Dewi & Y.S. Annisa. (2023). Vol. 12, No. 1, Year 2023. Analysis Of Crude Palm Oil (Cpo) Production Quality Control Using The Statistical Quality Control (Sqc) Method c c c Ccvcx, 12(1), 11–19.
Hanum Salsabiella. (2020). Product Quality Control Using the T2 Hotelling Individual Control Chart. 1–78.
Ekorini, D. (2014). HOTELLING T^2 CONTROL GRAPH WITH BOOTSTRAP APPROACH ON MULTIVARIATE NON-NORMALLY DISTRIBUTED DATA (pp. 7–8). Brawijaya University.
Yuneidi, B., Rahmi, I., & Yozza, H. (2012). Creation of a Multivariate T2 Hotelling Control Chart for the Lecture Process. Journal of Mathematics, Andalas University, Padang Vol.1.
Awitasari, D. A. (2018). Hotelling T2 Multivariate Control Chart for Quality Control of Student Grades in Four Core Courses in the Statistics Department at the Islamic University of Indonesia. Islamic University of Indonesia.
Primastuti, N. B., Sudarno, S., & Suparti, S. (2014). Product quality control using the multivariate np (Mnp) control chart method in quality improvement efforts (Case study at PT Coca Cola Amatil Indonesia (CCAI) Semarang). Gaussian Journal, 3(1), 111–120. http://ejournal-s1.undip.ac.id/index.php/gaussian
Austin, D., Lauro, M. D., & Herwindiati, D. E. (2020). Designing a Multivariate Control Chart Using the T-Hotelling Method for GPA and Length of Study of IT Students at Tarumanagara University. Journal of Computers and Informatics, 15(1), 317–325.
Lestari, D. P., & Rahmi Hg, I. (2023). Application of T 2 Hotelling multivariate control charts for evaluating online learning of compulsory courses in statistics for undergraduate (S1) mathematics study programs at Andalas University. UNAND Mathematics Journal, 12(2), 78–85. http://jmua.fmipa.unand.ac.id/index.php/jmua/article/viewFile/912/703
Anggraini, D. astrie. (2021). Analysis of Crude Palm Oil (CPO) Quality Control at PT. Kampar Tunggal Agrindo Using Statistical Process Control. Jurnal Surya Teknika, 8(2), 327–332. https://doi.org/10.37859/jst.v8i2.3278
DOI: http://dx.doi.org/10.30829/jistech.v10i1.26588
Refbacks
- There are currently no refbacks.
Current Indexing
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.