Umpire test (referee test) may be conducted by the coal supplier based on the potential loss due to the difference Certificate of Analysis (COA) in both ports (loading and unloading). The purpose of the research was to determine a comparison of COA from non-probability sampling compiled with standard. The research method used quantitative methods by collecting COA data on both ports. These data on the receipt of coal was obtained from a coal-fired steam power plant (PLTU). A Sampling at both ports was conducted by the non-probability sampling method. The assumption was determined that the sample preparation and analysis process had complied with the American Standard Testing and Material (ASTM) standards. The ratio of ash (dry basis) in both COA to its average was processed statistically by taking confidence intervals with a confidence level of 95%. This research showed that the ratio was in the range of 10.213% up to 16.793%, exceeding precision 10% as required by ASTM D2234-16. Therefore, the comparison of COA data from non-probability sampling, could not be used as a reference for the doubt of the work of independent surveyors e.g. COA unloading, then it is technically that umpire test could not be conducted by such comparison.
Slagging classification is generally listed in coal COA in coal trading transactions using one of the methods of determining slagging classification so that coal is ensured boiler friendly (low/medium classification). The paper aims to prove the tendency of two methods of determining slagging classification (B&W and GWC) on the results of certain classifications in LRC coal. The research method uses a quantitative method by collecting LRC coal COA data on a coal-fired steam power plant for a year of coal receipt (81 lots) issued by a laboratory that has been accredited by KAN (National Accreditation Committee). According to the method of GWC, ashes of entire lots are classified as LRC ash. While the method of B&W, there are 62 lots of ash classified as lignitic ash and 19 lots of ash classified as bituminous ash. This research has shown that the GWC method shows 79 lots of ash (97.53%) has low and medium classification and 2 lots of ash (2.47%) have a high classification; the method from B&W shows 19 lots of ash (23.46%) has a low classification and 62 lots of ash (76.54%) has a severe classification.
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