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The Influence of New Students' Motivation in Choosing an Economic Education Study Program, Faculty of Teacher Training and Education, Muhammadiyah University of Sampit Rodiah, Rodiah; Arnita, Windi Fahmi; soleha, Aisyah Putri; Hadianur, Muhammad
Jurnal Ilmiah Mandala Education (JIME) Vol 11, No 1 (2025): Jurnal Ilmiah Mandala Education (Januari)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v11i1.8342

Abstract

This research aims to determine the motivation of new students in choosing the economics education study program at the teaching and educational sciences faculty, Muhammadiyah University of Sampit. This research is research ex post facto which is research revealing facts based on measuring symptoms that already existed in respondents before this research was conducted.  In this research, respondents were determined using the method Purposive Sampling. The respondent criteria used are as: (1) the respondent is a student of the 2024 FKIP UMSA economics follows education study program, (2) the respondent has completed the KRS for semester 1. With this method, 3 respondents were obtained and 1 informant as reinforcement data validity. The data collection technique used was oral interviews. Next, the data is processed by: (a) reducing the data, (b) presenting the data and (c) drawing conclusions.  The results of this research show that the motivation of new students in choosing an economics education study program consists of internal and external motivation. Internal motivation is due to intuition/feelings covering 1 person and external motivation is due to broad job prospects as many as 2 people.
Reading Interest Analysis eBook as a Learning Resource for STKIP Muhammadiyah Sampit Students Hadianur, Muhammad; Elliya, Elliya; Qahfi, Muhamat
Jurnal Ilmiah Mandala Education (JIME) Vol 10, No 3 (2024): Jurnal Ilmiah Mandala Education ( Agustus)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v10i3.7308

Abstract

The aims of this research is to describe the interest in reading digital books (e-books) as a learning resource for students of STKIP Muhammadiyah SampitThe sample were students majoring in Economics Education from 2018th until 2021th, it is used a proportional random sampling technique. The number of samples used in this study was 32 students, which was taken from 25% for each class. Data collection technique using a questionnaire. The research data was analyzed using the SPSS statistical program version 16 for windows. The data analysis technique used is descriptive quantitative.The results of this research, there are three categorizations of interest in reading digital books, they are the medium category which is 72% with the number of respondents being 23td students, the high category is 16% with the number of respondents 5th students, and the low category is 13% with the number of respondents 4th students. 
Critical Thinking Skills in Solving Problems in Economics Learning Siti halimah; Muhammad Hadianur; Muhamat Qahfi
Jurnal Ilmiah Mandala Education (JIME) Vol 11 No 3 (2025): Jurnal Ilmiah Mandala Education (Agustus)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v11i3.9400

Abstract

Education is a crucial aspect of a nation's progress. This is because the quality of a nation's education determines the quality of its human resources. Schools are required to provide education that fosters students' character, fostering critical thinking, creativity, communication, and collaboration, enabling them to adapt in the 21st century.This study aims to examine students' critical thinking skills in solving problems in economics.The research method used a descriptive qualitative approach. Subjects were selected using a purposive sampling technique. Data collection methods used were tests and interviews. Data validity was verified using a data credibility test using reference materials and a member check.The results of this study revealed that subjects 1 and 2 had high critical thinking skills in solving problems in economics, while subject 3 had moderate critical thinking skills in solving problems in economics.
Lecturer's Strategy In Developing Higher-Order Thinking Skills (HOTS) Through The Deep Learning Approach In Macroeconomic Theory Courses Muhammad Hadianur; Widianty Widianty; Endang Setiawati; Mahbubatun Rida; Anisa Dwi Astuti
Jurnal Ilmiah Mandala Education (JIME) Vol 12 No 2 (2026): Jurnal Ilmiah Mandala Education (April)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v12i2.10347

Abstract

The development of higher education in the Industrial Revolution 4.0 era requires students to have higher-order thinking skills (HOTS). However, in practice, HOTS development still faces various challenges in the university environment. Several studies show that students still tend to memorize economic concepts without being able to connect them to real phenomena. Based on this context, this study aims to analyze in-depth lecturers' strategies in developing higher-order thinking skills (HOTS) through a deep learning approach in Macroeconomic Theory courses. This study applies a qualitative method with a case study approach. Data were collected through observation and in-depth interviews with lecturers and students. Data analysis refers to the Miles and Huberman model which includes the stages of data reduction, data presentation, and conclusion drawing supported by the use of Nvivo software. The results of the study show that lecturers apply learning strategies based on macroeconomic case study analysis, policy evaluation, and the creation of academic solutions that encourage students' HOTS. This strategy is combined with deep learning that includes meaningful learning, mindful learning, and joyful learning, thereby increasing cognitive engagement, reflective awareness, and student learning motivation. The conclusion of this study states that the strategy used by Macroeconomic Theory lecturers through a deep learning approach is effective in developing students' higher-order thinking skills (HOTS), particularly in analyzing, evaluating, and creating. However, its implementation still faces obstacles such as student readiness, lecturers' pedagogical skills, and limited learning resources and time allocation.
Implementation of Deep Learning Through Meaningful, Mindful, And Joyful Learning in The Subject of Economics: a Case Study at State Senior High School 4 Sampit Aulia Putri Aulia; M. Qahfi; M. Hadianur
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10 No 3 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Juli)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/w1qq4w12

Abstract

21st-century learning demands that students develop critical thinking skills, deeply understand concepts, and relate knowledge to real-life situations. However, learning practices in schools still tend to be teacher-centered, resulting in suboptimal student engagement. This study aims to analyze the implementation of in-depth learning (deep learning) through Meaningful Learning, Mindful Learning, and Joyful Learning in economics at SMA Negeri 4 Sampit and identify the obstacles faced in its implementation. The research used a qualitative approach with a case study design. The research informants consisted of two economics teachers and one vice principal for curriculum, who were selected randomly through purposive sampling. Data were collected through interviews, observations, and documentation, then analyzed using the interactive model of Miles, Huberman, and Saldaña with validity tests through triangulation of sources and techniques. The results of the study indicate that the implementation of immersive learning has been applied at the planning, implementation, and evaluation stages of learning by linking material to real life, encouraging active student participation through discussions and presentations, and implementing assessments that pay attention to the learning process and outcomes. However, the implementation is not optimal due to teacher dominance, differences in student abilities, and unequal learning participation. This study shows that immersive learning has the potential to improve the quality of economics learning, but requires strengthening in the consistency of implementation and active student involvement.
The Use of Artificial Intelligence (AI) to Support Student Learning Motivation in the Economics Education Study Program at Muhammadiyah University of Sampit muhammad firman; M. Hadianur; M. Qahfi
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10 No 3 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Juli)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/gz293r60

Abstract

This study aims to determine the use of Artificial Intelligence (AI) in supporting the learning motivation of students in the Economics Education Study Program at Muhammadiyah University of Sampit. The study used a qualitative approach with a descriptive research type. The research informants consisted of four students who actively use AI in learning activities and one lecturer as a supporting informant. Data were collected through observation, interviews, and documentation, then analyzed using the Miles, Huberman, and Saldaña model. The results showed that AI was used by students to search for references, understand lecture material, create summaries, and assist in completing academic assignments. The use of AI provides benefits in the form of easy access to information, increased understanding of the material, efficiency of study time, and increased student self-confidence. In addition, AI contributes to increased learning motivation as demonstrated by students' perseverance, independence, and interest in learning. However, excessive use of AI has the potential to cause dependency, so it needs to be balanced with critical thinking skills and digital literacy. Thus, Artificial Intelligence can be an effective learning support tool in increasing student learning motivation.
Analysis of the Discipline Level of Grade XI Students at SMAS PGRI 2 Sampit in the 2025/2026 Academic Year Dian Lestari; M. Qahfi; M. Hadianur
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10 No 3 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Juli)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/ex4d2t22

Abstract

Student discipline is an important aspect in the success of the educational process; however, conditions in the field indicate that indisciplined behavior still exists among eleventh-grade students. This study aims to determine the level of discipline of eleventh-grade students at SMAS PGRI 2 Sampit in the 2025/2026 academic year. The study used a descriptive quantitative method with a Likert-scale questionnaire instrument distributed to 60 students through the technique of total sampling. The reliability test results showed a Cronbach Alpha value of 0.900 (very reliable), and of the 27 statement items, 26 were declared valid. Overall, the level of student discipline was at an average score of 3.45 (86.25%), which is included in the very high category. A total of 47 students (78.3%) were in the very high category, and 13 students (21.7%) were in the high category. The value. The lowest score was found in the time discipline indicator (P15 = 68%), while the highest score was found in the dress discipline and rule compliance indicators (P2 and P22 = 95%). No students were in the medium, low, or very low categories. These findings indicate that school discipline has been well internalized in the daily behavior of grade XI students.