Abstract
The purpose of this study was to determine the best model of the briquettes based on calorific value. An experimental design applied was the orthogonal array L32 (21x49). The selection of the briquette models was based on eight criteria: coefficient R, R-Square, Adj.R, Std. Error, Akaike Information Criterion (AIC), Amemiya Prediction Criterion (APC), Mallows’ Prediction Criterion (MPC) and Schwarz Bayesian Criterion (SBC) simultaneously. The results of the analysis showed that the expected result of the optimum condition HHV (Y) of 7595 cal/g was achieved in an A2B4C4D3E4F4G4H4I2J4 parameter. The ANOVA gave p-value (0.000) < (0.05) indicating that the HHV model was fit for use. The residual analysis showed that the model is valid. From the three models produced, the model I was found to be the best model. The following results were obtained: coefficient R 0.761, R2 0.578, Adj-R2 0.529, SE 272.14 and AIC 1086.73. The novelties of this study are optimum parameters and the briquette models which have a high HHV based on the eight criteria.
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