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All Journal Al-Ulum Journal of Mathematics, Computation and Statistics (JMATHCOS)
Muhammad Obie
IAIN Sultan Amai Gorontalo
Religion Economics, Econometrics & Finance Mathematics

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Rekonstruksi Marjinalisasi Kaum Perempuan Pada Tradisi Khatam Qur’an Momy A Hunowu; Hatim Badu Pakuna; Muhammad Obie
Al-Ulum Vol. 23 No. 1 (2023): Al-Ulum
Publisher : Institut Agama Islam Negeri (IAIN) Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30603/au.v23i1.3314

Abstract

The focus of this paper is to explore how the tradition of khatam Qur’an for women is the entry point for empowerment. The research was conducted using a qualitative approach, collecting data through in-depth interviews with four female research participants and observing their family life. The results of the research show that the tradition of khatam Qur'an has opened up opportunities for women’s freedom. In the first generation, women were still cooped up, illiterate and shy, in the second generation, opportunities for freedom were given with the excuse of leaving the house to learn the Qur’an reading. In the third generation, women are equal to men in education to obtain public roles. However, they cannot let go of their domestic role. In the end, women have a dual role. This study concludes that ongoing empowerment efforts have reconstructed the marginalization of women.
Modeling Grade Point Average (GPA) of Students in IAIN Sultan Amai Gorontalousing Binary Logistic Regression Approach Syilfi; Indriani; Muhammad Obie
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.9377

Abstract

The objective of this study is to construct a model for the Grade Point Average (GPA) of the 2021 cohort of students enrolled in the Faculty of Education and Teacher Training (FITK) IAIN Sultan Amai Gorontalo, and analyze the factors that influence it. GPA modeling uses the binary logistic regression method. Binary logistic regression is a data analysis technique used to test whether or not there is a correlation between the response variable (y) which has two categories or is binary and the predictor variable (x) which has several categories or is polychotomous. This study uses primary data obtained through a questionnaire with a sample size of 190 students from six majors. The response variable in this study is student GPA and there are 8 independent variables studied. Based on the data obtained, the average GPA of 2021 students is 3.13. The results of data processing show that the variables of region of origin (x1), the number of organizations joined (x3), the average length of study per day (x4), and the average length of internet usage per day (x5) significantly affect the GPA of FITK students. The logit model obtained is . The probability function for obtaining a GPA ≥ 3.13 is .
Co-Authors Hatim Badu Pakuna Hunowu, Momy A Indriani Syilfi