EVALUASI PRESISI, AKURASI, DAN SIGMA METRICS PADA QUALITY CONTROL INTERNAL PEMERIKSAAN GLUKOSA DARAH DI UPT LABKESDA KABUPATEN KETAPANG

Blood glucose testing is a crucial diagnostic parameter in metabolic management and requires measurable Internal Quality Control (IQC). Sigma Metrics serves as a performance indicator that integrates precision (Coefficient of Variation/CV) and accuracy (bias) parameters against Total Error Allowable (TEa) standards to objectively evaluate analytical quality. This study aimed to evaluate the analytical performance of blood glucose testing at the Ketapang Regional Health Laboratory (UPT Labkesda) by assessing precision, accuracy, and Sigma Metrics during IQC activities from January to December 2025. A retrospective observational analytic design was employed using secondary data from blood glucose IQC results. The sample consisted of 118 data points obtained using the Dirui Auto Chemistry Analyzer CS-T 180 (hexokinase method). Statistical evaluation included calculating the Mean, Standard Deviation (SD), CV%, bias (d%), and Sigma value based on CLIA standards (glucose TEa of 10%), alongside the interpretation of Levey-Jennings charts using the Westgard Multirule System. The results showed a mean of 110.54 mg/dL, SD of 2.62 mg/dL, CV of 2.37% (excellent precision), bias of 0.31% (excellent accuracy), and a Sigma Metric value of 4.10 (good performance). In conclusion, blood glucose testing at the Ketapang Regional Health Laboratory in 2025 demonstrated good levels of precision, accuracy, and Sigma Metrics, indicating analytical performance that meets optimal quality standards.