This study aims to identify students’ errors in solving word problems of trigonometry according to the Newman Error Hierarchical Model. This study uses qualitative descriptive data gathered based on fact, and data analysis presented descriptively. The population is students of X IPA 2 at SMAN 1 Cikarang Utara, West Java, Indonesia, and to understand more about the error that happened, the researcher took six students of SMAN 1 Cikarang Utara as a sample. The sample is chosen by purposive sampling. Instrument tests, interviews, and documentation are the data collected. This study used the Newman Error Hierarchical Model to analyze high school students’ errors in solving word problems of trigonometry. The results show that students made errors in comprehension, transformation, process skill, and encoding stage. The errors were caused by their lack of understanding some words and terms in the word problem, lack of ability in transforming the word problem to the mathematical model and strategy, lack of processing the algebra and calculation, lack of motivation, and carelessness.
The study aimed to determine the relationship between PERT mathematics scores and students’ mathematics problem-solving ability. This study uses the correlation research design to determine the relationship between the two variables. The sample consisted of 29 freshmen students who have passed the PERT mathematics test and take college algebra class. The main instrument in this study is worksheet consists of two problem-solving questions. The PERT mathematics scores were used as the predictor variable of this research. Based on the SPSS analysis, the r score was 0.547, which describe that there exists a correlation between the PERT mathematics score and students’ mathematics problem-solving ability. The variation of PERT mathematics score can explain about 29.9% of the variation of students’ problem-solving ability. The rest 70.1% supposed to be explained by other factors. The results of these preliminary research studies can provide invaluable information on the direction of future research that may be required on the specific variables.
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