<![CDATA[This research was conducted to evaluate the quality of palm kernels produced during day and night work shifts at PT. Teupin Lada by applying the Statistical Process Control (SPC) approach. The study was motivated by variations in kernel quality indicators, including moisture content, broken kernels, and dirt content, which may affect the consistency of the final product. A descriptive quantitative method with a comparative approach was employed. The analysis utilized historical laboratory records collected between February and May 2025 from both work shifts. Several analytical tools were applied, including data uniformity testing, data adequacy testing, control charts, and independent sample hypothesis testing. In addition, a fishbone diagram was used to identify factors contributing to quality variation. The findings revealed that the production process during the day shift was more stable than that of the night shift. Higher average values of moisture content, broken kernels, and dirt content were observed during the night shift, indicating greater process variability. Statistical testing confirmed significant differences in kernel quality between the two shifts. The factors influencing quality were related to human resources, machinery, working methods, raw materials, and environmental conditions. Therefore, strengthening operational supervision, improving machine maintenance, and ensuring consistent implementation of work procedures are recommended to enhance kernel quality stability.]]>
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