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MUST: Journal of Mathematics Education, Science and Technology
Published by Universitas Muhammadiyah Surabaya
ISSN : 25416057     EISSN : 25414674     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education Mathematics
MUST is a journal of mathematics education, science, and technology published by the Faculty of Teacher Training and Education, Muhammadiyah University of Surabaya. This journal focuses on the publication of research results and scientific articles on mathematics education, science, and technology. MUST Journal is published twice in a year, on July and December.
Arjuna Subject : -
Articles 166 Documents
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META-SINTESIS: SELF-ESTEEM DALAM HARD SKILL MATEMATIK SISWA Cholifah, Cholifah; Mariani, Scolastika; Agoestanto, Arief
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 1 (2025)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i1.26830

Abstract

Challenges in mathematics education are becoming increasingly complex, particularly in achieving a balance between students’ hard skills and soft skills. One crucial aspect of soft skills is self-esteem. This article aims to examine the relationship between self-esteem and students’ mastery of mathematical hard skills through a meta-synthesis approach. Data were collected from articles published between 2020 and 2025, focusing on self-esteem in the context of mathematics proficiency. The search strategy utilized the Publish or Perish software, Google Scholar, and the PRISMA 2020 framework. The analysis results indicate that self-esteem has a positive impact on the mastery of mathematical hard skills by fostering students’ confidence, creativity, and learning independence. This study highlights the importance of incorporating affective aspects—particularly self-esteem—into instructional strategies to optimally support students’ cognitive abilities
ANALISIS PEMAHAMAN MATEMATIKA DASAR MAHASISWA PGSD Nurharyanto, Dwi Widyastuti; Iwan Abdy
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 1 (2025)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i1.27106

Abstract

This research is research conducted to measure the extent to which students of the Primary School Teacher Education Study Program as prospective teachers are able to understand the basics of mathematics. These basic mathematics skills support career development as a teacher in the future. This research is a type of descriptive research with qualitative analysis. By giving a basic mathematics skills test at the start of learning, lecturers can find out which material requires in-depth study. The instrument used is a test instrument consisting of forty questions. The questions cover four main subjects, namely addition and subtraction, multiplication and division, LCM and FPB, and fractional numbers. The results of the tests given showed that the basic mathematics abilities of 36 students were seven students in the good category, 17 students in the sufficient category, and 12 students in the poor category. The material that is least mastered is the KPK and FPB material and fractional numbers. Based on these results, material strengthening can be focused on these two material categories. This research also includes a diagnostic test to create more ideal learning conditions because it can be adjusted to suit needs.
Application of Seasonal Autoregressive Integrated Moving Average (SARIMA) Method in Forecasting Chicken Egg Prices in Indonesia Afifah, Wardah Hasna; Sari, Devni Prima
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 1 (2025)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i1.26370

Abstract

Chicken eggs are one of the widely known food commodities and are routinely used for daily food menus. Therefore, the price often fluctuates. So that the forecasting of chicken egg prices in Indonesia is very necessary so that the government can monitor price stability and plan future steps. The method that is suitable for this forecast is the Seasonal Autoregressive Integrated Moving Average (SARIMA). The results of data analysis using the SARIMA method show that the best model used for forecasting is SARIMA (2,1,3)(0,1,1)12. This model has a Mean Square Error value of 815267 and a Mean Absolute Percentage Error of 4% so it is good for forecasting. From this model, it is estimated that the price of broiler chicken eggs will tend to fluctuate and increase in the next 24 months, namely from January 2025 to December 2026. Keywords: price, chiken eggs, forcasting, sarima method.
PENGARUH PENDEKATAN PROBLEM SOLVING TERHADAP PRESTASI BELAJAR SISWA KELAS V SEKOLAH DASAR Nurharyanto, Dwi Widyastuti; Jaliani, Jaliani
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.20483

Abstract

This study aims to describe: the effect of the problem-solving approach on the learning achievement of Class V Elementary School students. This research is quasi-experimental research using one experimental class and one control class. One experimental class, namely SDN Rejondani with a problem-solving approach, and one control class that was not given treatment, namely SDN Potrojayan II. The four stages carried out in the problem-solving approach are understanding the problem (understand), determining the solution (plan), implementing the solution (solve), and checking again (check). Learning achievement is measured using a test instrument in the form of short questions. There are fourteen short answer questions for the pre-test and post-test based on derived learning indicators from the applicable curriculum. Data analysis was performed using the ANOVA test. The results showed that problem-solving had an influence on learning achievement with a significance value of 0.000 (p <0.05). The ANOVA test was followed by a posthoc test using the Bonferroni test with a result of 0.000 which stated that there was a mean difference between the control class and the experimental class. This difference is the basis that problem-solving has an influence on the learning achievement of class V Elementary School.
THE INFLUENCER PRICING PROGNOSTICATION ON SOCIAL MEDIA DYNAMICS AN ADVANCED EXAMINATION OF LINEAR REGRESSION 2 POLY DEGREE ALGORITHM & NEURAL NETWORK: AN ADVANCED EXAMINATION OF LINEAR REGRESSION 2 POLY DEGREE ALGORITHM & NEURAL NETWORK Canesta, Felicia; Rusdianto Roestam
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i2.21040

Abstract

The pervasive influence of social media has spawned the influencer profession, a potent force shaping audience interest in promoted products and services. Unlike traditional media, the impact of influencer promotion is quantifiable, with rates typically determined by factors such as follower count, engagement, and reach. However, the absence of a standardized reference for rate determination poses a potential risk of losses for both influencers and clients. This study seeks to address this challenge through the development of an advanced machine learning-based deep learning predictive model, incorporating Linear Regression with a second-degree polynomial algorithm and a neural network to enhance accuracy. This research underscores the potential of machine learning, including advanced regression algorithms and neural networks, in providing a robust framework for predicting influencer rates. The developed model serves as a significant step toward minimizing adverse effects on both influencers and clients by offering a more nuanced and accurate reference for rate determination in the dynamic landscape of social media promotion The Model Evaluation based on Mean Absolute Error (MAE) metrics reveals that the Keras Neural Network outperformed both Simple Linear Regression (10.612) and Linear Regression with a 2nd-degree polynomial (10.089) in predicting influencer rates. With a substantially lower MAE of 7.952, the neural network demonstrated superior accuracy, leveraging its capacity to capture intricate data relationships and learn non-linear patterns. In conclusion, the Keras Neural Network emerges as the most effective model for influencer rate prediction.
EFFECTIVENESS OF LEARNING TRAJECTORY BASED ON RME-ETHNOMATHEMATICS Lely Kurnia; Eka Pasca Surya Bayu; Kurnia Rahmi Yuberta
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.22299

Abstract

The results of the preliminary study show that the System of Linear Equations in Two Variables learning process in junior high schools tends to use direct mathematical models and presents material that is not related to daily life experiences, thereby decreasing students' motivation towards mathematics. This is the basis for designing learning trajectory in the form of activities based on students' experiences. This research is design research with the Plomp model. In the first phase, preliminary research was carried out consisting of needs analysis, curriculum analysis, concept analysis, characteristics analysis and literature review. In the second phase, the prototyping phase was carried out with a series of formative evaluations: self-evaluation, expert validation, one-to-one evaluation and small group. The trial was carried out at Al Islah private junior high school in Bukittinggi city. Based on the results of the implementation of RME-based etnomathematics learning design in class VIII SMP/MTs, it has effectively had an impact on learning outcomes. This result can be seen from the percentage of completeness obtained by students using student books with RME-based ethnomathematics where 86.7% of students were able to complete the post test at the field test stage.
KEMAMPUAN LITERASI NUMERASI DITINJAU DARI KONEKSI MATEMATIS SISWA Wahyu Ningrum, Shinta; Fatimatul Khikmiyah; Enny Suryantari
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.22346

Abstract

Numeracy literacy skills can help someone recognize the uses of mathematics in everyday life. This is closely related to students' mathematical connection abilities. Without good mathematical connection skills, students' numeracy literacy abilities will not be optimal. This research aims to describe numeracy literacy abilities in terms of students' mathematical connections. The subjects in this research were three class XI students at SMA Negeri 1 Gresik, each of whom had high, medium and low levels of mathematical connection ability. The data instruments used are tests and interview guidelines. The results of this research show that students with high mathematical connection abilities can solve numeracy literacy questions correctly, while students with middle and low mathematical connection abilities cannot solve numeracy literacy questions correctly. This is because students do not yet understand the basic concepts of calculating operations for dividing fractions in the form of roots and the concept of trigonometry material itself. Based on the research results, it is recommended that students maximize their mathematical connection abilities by increasing their understanding of concepts. So by having good mathematical connection skills you will be able to support good numeracy literacy skills and also to solve math problems, especially AKM questions.
ANALISIS KORELASI DAN REGRESI ANTARA TAHUN BERDIRI DENGAN NILAI DEVIASI ARAH KIBLAT MASJID AGUNG SE-JAWA TIMUR Agus, Agus Solikin; Damanhuri, Adi
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.22536

Abstract

This research aims to determine the correlation and regression between the year the Majid Agung was founded in East Java and the deviation value in the direction of the Qibla. The research method used is quantitative with simple correlation analysis which is based on guidelines for interpreting the correlation between the independent variable and the dependent variable. This research also uses linear regression. The deviation value of the Qibla direction of the Great Mosque is the dependent variable, and the year of its establishment is the independent variable. Correlation and linear regression calculations using Microsoft Excel. Based on the research that has been carried out, it was found that there was a very low correlation between the year it was founded and the deviation value in the Qibla direction of the Great Mosque building, namely 0.016, with the regression equation y=0.0009x+6.7736 and the variable the year the Great Mosque was founded only affected the Qibla direction deviation value by 0.03%,. based on the classification of great mosques into 4 (four) categories of centuries of existence, it shows that category 1, category 2, and category 3 have a negative correlation and each has a very low correlation, namely -0.128026886 for categories 1 and -0, 048713168 for category 2. Meanwhile, category 3 has a moderate correlation, namely -0.419826395, with the coefficient of determination of the year of establishment on the Qibla direction deviation value of 17.64% while 82.46% comes from other variables. Category 4 has a positive correlation and includes low correlation with a correlation coefficient of 0.24422172 and a coefficient of determination for the year of establishment with a Qibla direction deviation value of 5.96% while 94.04% comes from other variables
Pengaruh Self-Confidence Terhadap Kemampuan Pemecahan Masalah Matematis (KPMM) Siswa SMP Lathifah, Nida Nabilah; Indah Puspita Sari
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.22577

Abstract

The purpose of this study was to determine the effect of students' self-confidence on the mathematical problem solving ability (KPMM) of junior high school students. In this study, the population was all seventh grade students at SMP Negeri 16 Cimahi even semester in the 2023/2024 school year distributed in five classes, namely VIIA to VIIE. In this study, the sample used was class VIIB students, because it was selected using purposive sampling technique as many as 35 students. Quantitative approach and causal comparative design were used in this study, so that the data that have been taken in this study are quantitative data that have been obtained from self-confidence questionnaires and KPMM tests of junior high school students. After the normality test and linearity test were carried out, hypothesis testing was carried out using simple linear regression analysis and a simple linear regression equation was obtained, namely . This means that the greater the students' self-confidence, the positive impact on students' CAR. Based on the results of the coefficient of determination, the conclusion that can be drawn is that self-confidence affects students' KPMM with a large influence of 37.2%.
A STRATEGI MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA UNIVERSITAS MUHAMMADIYAH PONOROGO DENGAN TEORI FUZZY TSUKAMOTO Kurniasih, Ranti; Awantagusnik, Annafi; Zia Alghar, Muhammad
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.22830

Abstract

The purpose of this research is to create a mathematical model related to fuzzy logic to predict student graduation rates starting in 2024. This type of research is applied research. The method used is the tsukamoto method in fuzzy analysis and checking the accuracy of forecasting with MAPE. Data collection techniques are carried out by collecting primary data and secondary data. The primary data used is data on new student admissions, many graduates, and many graduates from Muhammadiyah Ponorogo University in 2021, 2022, and 2023. Secondary data is obtained from books, articles, and documents relevant to Tsukamoto fuzzy. The results of the Tsukamoto fuzzy analysis with MAPE testing show that the fuzzy model built is at a percentage of 5.3%. This means that the fuzzy system has excellent forecasting capabilities in predicting student graduation rates in 2021, 2022, and 2023 and can be used to predict many graduates in 2024.

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