Husnul Khatimah Rusyid
Universitas Pendidikan Indonesia

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Analisis kemampuan koneksi matematis siswa pada pembelajaran luring pasca pandemi Fentiawati Trysna Dinata; Husnul Khatimah Rusyid; Siti Fatimah; Tatang Herman
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 6 No. 4 (2023): Juli
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v6i4.17648

Abstract

The study aims to analyze the ability of mathematical connections in a sequence and series of materials conducted when learning offline after previously applied online learning. This type of research is qualitative with data collection techniques, namely mathematical connection ability tests and interviews. The subjects of the study consisted of 4 class XI SMK students in Bandung Regency who had previously studied sequence and series online. Analysis carried out on mathematical connection ability seen from indicators of connection ability is understanding the equivalent representation of the same concept or procedure, looking for connections with procedures to other procedures in equivalent representations, using mathematics in everyday life and using connections between mathematical topics, and between mathematical topics and other topics. The results of the analysis conducted show that the achievement of mathematical connection ability for each indicator is still not achieved, so students' mathematical connection ability is still relatively low. 
An Analysis of Students’ Mathematical Self-Efficacy Instruments Using Rasch Model Ahmad Mukhibin; Husnul Khatimah Rusyid; Ahmad Lutfi; Tatang Herman; Dwi Arianti Suryo Utomo
Indonesian Journal of Mathematics Education Vol. 6 No. 2 (2023): Indonesian Journal of Mathematics Education
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/ijome.v6i2.994

Abstract

The purpose of this study was to determine the quality of mathematics self-efficacy instruments in terms of validity, reliability, undimensionality, ability distribution, and suitability of student responses. Data were obtained by distributing mathematics self-efficacy instruments consisting of 20 statements to 45 seventh-grade students of a private junior high school in Yogyakarta, Indonesia, at the 2022/2023 school year selected through purposive random sampling technique. The data were analyzed using Rasch model with the help of the Ministep application. The results of the analysis showed that the mathematics self-efficacy instrument used was declared valid, with an outfit Z standardized (outfit ZSTD) value of -0.16 for respondents and 0.20 for items, and could be used to measure students' mathematics self-efficacy level with a reliability level reaching a score of 0.54 or in the medium category. The results of the distribution of item abilities show that most students admit to having the fighting power to solve problems that occur, especially in learning mathematics. From the analysis of the suitability of student responses, 18 statements show the suitability between the level of self-efficacy and the responses given by students. While two other statements did not show suitability. Therefore, teachers or other academics can use the self-efficacy questionnaire that has been prepared by researchers because it has met the four criteria for testing instruments.
Analisis kesalahan mahasiswa dalam menyelesaikan soal pada materi statistika berdasarkan teori Newman Jelyani Feronika; Nurendah Yulianti; Sarah Inayah; Ahmad Lutfi; Husnul Khatimah Rusyid; Ahmad Mukhibin
Journal on Mathematics Education Research (J-MER) Vol 4, No 2 (2023): November
Publisher : Departemen Pendidikan Matematika, FPMIPA, UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/j-mer.v4i2.65087

Abstract

The purpose of this research is to describe the types of mistakes made by students in solving problems based on Newman's theory on statistical material. The type of research used is descriptive research with a quantitative approach. The subjects of this study consisted of 9 Level 1 Mathematics Education students at Suryakancana University. The data collection technique in this study was a written test, with a test instrument consisting of 3 statistical questions in the form of descriptions. The percentage of types of errors made by students at the stage of reading the problem was found to be 20%, comprehension the problem was 20%, transformation was 20%, processing skills was 20%, and encoding was 20%. The types of errors in this study were analyzed using Newman's theory, namely 1) Errors in Reading Problems, 2) Errors in Understanding Problems, 3) Errors in Transformation, 4) Errors in Process Skills, and 5) Errors in Writing Final Answers. Of the 9 students it was found that the most common types of mistakes made by students in solving statistical problems were errors at the stage of understanding the problem and encoding errors.
Rasch model analysis of learning interest instrument for mathematics education students in statistical course Ahmad Lutfi; Husnul Khatimah Rusyid; Ahmad Mukhibin; Hevy Risqi Maharani
Journal on Mathematics Education Research (J-MER) Vol 4, No 2 (2023): November
Publisher : Departemen Pendidikan Matematika, FPMIPA, UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/j-mer.v4i2.65072

Abstract

This study aims to comprehensively examine the quality of mathematics learning interest instruments in terms of validity, reliability, undimensionality, distribution of abilities, and suitability of student responses. So, this research uses a survey-based quantitative descriptive method. Data collection was done by distributing a learning interest questionnaire consisting of 25 statements to mathematics education students who were in the 4th semester at one of the universities in Semarang. The results showed that the learning interest instrument used was valid and reliable so that the instrument could be used to measure student learning interest. The distribution of the items also shows that most students admit to having a high interest in learning statistics courses. Analysis of the suitability of student responses shows that 21 statements describe the suitability between learning interests and responses given by students. Meanwhile, 4 other statements showed discrepancies.