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All Journal Jurnal Biologi Tropis INDONESIAN JOURNAL OF MEDICAL LABORATORY SCIENCE AND TECHNOLOGY
Wahyu, Cep
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Social Sciences

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The Use of Six Sigma as A Blood Glucose Quality Control Evaluation in UPTD Health Laboratory of Bandung City Wahyu, Cep; Kafes, Ally; Karwati, Siti
Jurnal Biologi Tropis Vol. 25 No. 4a (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4a.11096

Abstract

Six sigma is a statistical analysis method that involves calculations through CV, TEa, and bias values that describe the precision and accuracy of the examination. This study aims to analyze the evaluation of blood glucose examination quality control using six sigma at the Bandung City Health Office Laboratory UPTD. This study uses descriptive research to determine the precision, accuracy, and sigma value of the results of quality control of blood glucose examinations on the Cobas C311 Chemistry Analyzer as material for quality control evaluation in clinical laboratories. The results of the study on the accuracy (d%) and precision (CV%) of the quality control of blood glucose examinations on the Cobas C311 Chemistry Analyzer at the Bandung City Health Office Laboratory UPTD are quite good because the values obtained do not exceed the maximum limit. The results of the performance of the Cobas C311 Chemistry Analyzer on blood glucose examinations at the Bandung City Health Office Laboratory UPTD are considered quite good because the TE value < TEa (CLIA) is obtained. The six sigma value of blood glucose examinations on the Cobas C311 Chemistry Analyzer is obtained 3 sigma which indicates "marginal" where the combination of random errors and systematic errors is still tolerable.
Chemometric Analysis of Serum Magnesium Calculations Using Mg-Xylidyl Blue-I Method Based on Molar Absorptivity Kafesa, Ally; Lutfi, Nadira Nur Hajah; Wahyu, Cep
JURNAL INDONESIA DARI ILMU LABORATORIUM MEDIS DAN TEKNOLOGI Vol 3 No 1 (2021): Laboratory innovation : The challenge for medical laboratory
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ijmlst.v3i1.1876

Abstract

The concentration of magnesium is determined based on the absorbance of the Mg-Xylydil Blue-I complex solution use spectrophotometer. Based on the Lambert-Beer rule, the calculation of sample concentration is based on the formula A = Ԑ. b. C. Generally, the thickness of the cuvette (b) and the molar absorptivity (Ԑ) factor will be ignored because it is considered to have a fixed value, therefore the sample concentration is measured based on the ratio of the absorbance of the sample against the standard solution. However, the standard solution contains pure magnesium and has a different matrix than the sample matrix, so this condition can give analytical errors and lead to misinterpretation of the results. The purpose of this study was to determine the accuracy and the precision of serum magnesium calculation by the principle of the Mg- Xylydil Blue-I complex reaction based on molar absorptivity compared to the general method. This research uses comparative study design methods. The serum sample used was the patient's serum specimen who has a normal magnesium level. The results showed that the significance value of the paired t-test statistical was 0.000 (p < 0.05). The accuracy value (d%) of the calculation formula uses Ɛ is 0.00 and the precision value (CV%) is 0.53. While the accuracy value (d%) of the calculation formula without Ɛ is 0.00 and the precision value (CV%) is 0.38. Calculations based on molar absorptivity (Ɛ) can measure more significant serum magnesium than those calculated based on standard magnesium solutions.
Co-Authors Kafes, Ally Kafesa, Ally Karwati, Siti Lutfi, Nadira Nur Hajah