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Journal : Jurnal Infinity

METODE ESD (EXTREME STUDENTIZED DEVIATION) UNTUK PENGUJIAN MULTIPLE OUTLIERS Masta Hutajulu
Jurnal Infinity Vol 4, No 1 (2015): Volume 4 Number 1, Infinity
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.589 KB) | DOI: 10.22460/infinity.v4i1.p47-54

Abstract

ABSTRAK Analisis data pada suatu proses produksi merupakan hal yang esensial untuk dilakukan. Data yang valid menjadikan data tersebut baik. Salah satu ciri data yang baik adalah terhindar dari pencilan (outliers). Untuk mendeteksi pencilan (outlier) yang terdapat pada suatu data diperlukan suatu metode, yang antara lain melalui metode ESD. Metode ESD dapat mendeteksi pencilan tunggal (single  outliers) ataupun pencilan ganda (multiple outliers). Konsep utama dari metode ini, adalah mengukur jarak setiap data terhadap mean sampelnya. Kata Kunci    :   Metode ESD, pencilan  ABSTRACTData analyse of a production process is an essential part. The accuracy of the data analyse depends on the validaty of the data. One indicator of valid data is evitable from outliers. It requires certain method to examine the outliers  from data to decide whether the data is valid or not. ESD method is the recommended method, which will be studied throughly in this final refort. ESD method is a method that is able to detect single outlier as well as multiple outliers. The main concept of the method is measuring the difference of each data to the mean of its sample. Keywords:        Outlier, ESD Method
THE EFFECT OF MATHEMATICAL DISPOSITION AND LEARNING MOTIVATION ON PROBLEM SOLVING: AN ANALYSIS Masta Hutajulu; Tommy Tanu Wijaya; Wahyu Hidayat
Jurnal Infinity Vol 8, No 2 (2019): Volume 8 Number 2, Infinity
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.735 KB) | DOI: 10.22460/infinity.v8i2.p229-238

Abstract

This research was motivated by the low problem-solving abilities, mathematical disposition, and learning motivation of junior students. This study aims to find and analyze the influence of mathematical dispositions empirically and learning motivation on problem-solving abilities. Samples were obtained in class VII-2 at SMPN 2 Cimahi as many as 34 students.  The study uses quantitative correlational methods. The analysis was done by a regression method. The data collection was given two pieces of study instruments, namely problem-solving test instruments and non-test questionnaires in a set of mathematical dispositions and learning motivation. The data were tested for regression and correlation. The results of data analysis that was a mathematical disposition and learning motivation were significantly influenced by the problem-solving ability of junior students, with the regression equation Y = 1.95 + 0.121X1 + 0.015X2 indicating a positive influence, and the degree of closeness is the Pearson correlation coefficient of 0.827 classified in a robust positive interpretation. Together, mathematical disposition variables and learning motivation variables can determine the problem-solving variable by 68.3%. Recommendations from this study, teachers should design learning processes that can improve mathematical disposition and student motivation so that students' problem-solving abilities increase.