RELATIONSHIP OF NUMERICAL LEARNING, LEARNING INSURANCE, AND ATTENTION OF PARENTS WITH LEARNING MATHEMATICS STUDENTS CLASS IX SMP

The numerical ability of the student in doing mathematics protudent in doing mathematics pa320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320320blems is still lacking, students are less interested in mathematics subjects, and parents who are less attentive to the learning activities of children is suspected to be a factor that causes low student learning outcomes. This study aims to determine whether or not there is a positive and significant relationship between numerical ability, interest in learning, and attention of parents with the results of learning mathematics students IX Muhammadiyah Junior High School Imogiri (SMP Muhammadiyah 3 Imogiri) Even Semester of the academic year 2016/2017. SMP Muhammadiyah Imogiri Bantul Regency academic year 2016/2017 consists of 5 classes IXA has an average value of Midterm in the middle among the five existing classes. Data collection techniques used questionnaires and test methods. The data collection instrument used a questionnaire of interest in learning, questionnaire of parental attention, numerical ability test, and math learning result test. Test instrument research using validity test, reliability test. The prerequisite analysis test includes a normality test, linearity test, and independence test. Data analysis for hypothesis analysis using product-moment correlation analysis and multiple linear regression analysis. The results showed there was a positive and significant relationship between numerical ability, interest in learning, and attention of parents to the results of learning mathematics. At a significant level of 5% v1 = 3, v2 = 24 Fcount = 4,239506252 and Ftable = 3.01 so Fcount> Ftable with double correlation coefficient 0.588539061 and multiple regression equations are three variables namely Ŷ = -68, 39347489 + 0, 01603402 X1 + 0,9670728 X2 + 0,266553832 X3 relative contribution X1 = 56.21988%, X2 = 25,19377%, X3 = 18,58636% and effective contribution X1 = 19,47388%, X2 = 8, 72659%, X3 = 6,4379