MUST: Journal of Mathematics Education, Science and Technology
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.
Articles
166 Documents
<![CDATA[PENGARUH PENDEKATAN PROBLEM SOLVING TERHADAP PRESTASI BELAJAR SISWA KELAS V SEKOLAH DASAR ]]>
<![CDATA[Dwi Widyastuti Nurharyanto]]>;
<![CDATA[Jaliani Jaliani]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.20483
<![CDATA[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.]]>
<![CDATA[KEMAMPUAN LITERASI NUMERASI DITINJAU DARI KONEKSI MATEMATIS SISWA ]]>
<![CDATA[Shinta Wahyu Ningrum]]>;
<![CDATA[Fatimatul Khikmiyah]]>;
<![CDATA[Enny Suryantari]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.22346
<![CDATA[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.]]>
<![CDATA[ANALISIS KORELASI DAN REGRESI ANTARA TAHUN BERDIRI DENGAN NILAI DEVIASI ARAH KIBLAT MASJID AGUNG SE-JAWA TIMUR ]]>
<![CDATA[Agus Solikin Agus]]>;
<![CDATA[Adi Damanhuri]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.22536
<![CDATA[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]]>
<![CDATA[Pengaruh Self-Confidence Terhadap Kemampuan Pemecahan Masalah Matematis (KPMM) Siswa SMP ]]>
<![CDATA[Nida Nabilah Lathifah]]>;
<![CDATA[Indah Puspita Sari]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.22577
<![CDATA[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%.]]>
<![CDATA[A STRATEGI MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA UNIVERSITAS MUHAMMADIYAH PONOROGO DENGAN TEORI FUZZY TSUKAMOTO ]]>
<![CDATA[Ranti Kurniasih]]>;
<![CDATA[Annafi Awantagusnik]]>;
<![CDATA[Muhammad Zia Alghar]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.22830
<![CDATA[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.]]>
<![CDATA[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 ]]>
<![CDATA[Canesta, Felicia]]>;
<![CDATA[Rusdianto Roestam]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i2.21040
<![CDATA[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.]]>
<![CDATA[EFFECTIVENESS OF LEARNING TRAJECTORY BASED ON RME-ETHNOMATHEMATICS ]]>
<![CDATA[Lely Kurnia]]>;
<![CDATA[Eka Pasca Surya Bayu]]>;
<![CDATA[Kurnia Rahmi Yuberta]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.22299
<![CDATA[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.]]>
<![CDATA[Systematic Literatur Review : Peningkatan Kemampuan Literasi Matematis dengan Model Pembelajaran Structured Inquiry ]]>
<![CDATA[Prayuti, Amarta]]>;
<![CDATA[Wardhani Rahayu]]>;
<![CDATA[Meiliasari, Meiliasari]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i2.23053
<![CDATA[In meeting the needs of modern society, students are required to have several competencies, one of which is Mathematical Literacy. One way to improve students' mathematical literacy skills is to apply a Structured Inquiry-based learning approach. The purpose of this research is to investigate the components in Structured Inquiry learning that can improve students' mathematical literacy skills. The method used was Systematic Literature Review (SLR) of 30 filtered articles. The articles reviewed were sourced from Sinta 1 - Sinta 3 indexed articles, Scopus rank Q1 - Q3, and several sources from the Ministry of Education and Culture. The results show that the Structured Inquiry learning model can be used as one of the approaches in learning to improve students' mathematical literacy skills. Some materials that can be used to maximise student learning outcomes include geometry, arithmetic, and calculation materials. Teacher guidance in applying the structured inquiry learning model will greatly determine student learning outcomes, especially in improving their mathematical literacy skills. Structured inquiry learning is more optimally applied at the elementary and junior high school levels. It is necessary to develop mathematical literacy questions in order to improve students' mathematical literacy skills. It is hoped that future researchers can examine more deeply other learning models that can improve students' mathematical literacy skills.]]>
<![CDATA[The ANALISIS KINERJA SENSOR DHT22 DAN SENSOR LM35 PADA SUHU RUANGAN SERVER ]]>
<![CDATA[Sulasmoro, Arfan Haqiqi]]>;
<![CDATA[Yerry Febrian Sabanise]]>;
<![CDATA[M. Teguh Prihandoyo]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i2.23646
<![CDATA[A server room is a space for storing servers and network devices with certain security standards, including temperature regulation. Temperature is a crucial factor because of its influence on the performance of devices, especially electronic devices. Such influences include the performance of components, both semiconductors and capacitors, equipment life i.e. component wear, system reliability both physical and thermal and battery performance. So maintaining an optimal and stable temperature is very important to maintain the performance of electronic equipment. Performance analysis of DHT22 and LM35 sensors is needed to monitor the temperature and humidity of the server room, ensure optimal device performance, and reduce the risk of damage. The purpose of analyzing the performance of DHT22 and LM35 sensors is to compare the performance of the DHT22 sensor with LM35 for the temperature data obtained. The research method used is waterfall, which consists of the planning stage determining the block diagram for the design of the tool, the design of the microcontroller work flowchart to take the temperature with DHT22 and LM35, analyzing the data obtained, and implementation by installing the tool and taking data when running. The analysis results show that the DHT22 sensor is more accurate than the LM35 temperature sensor, where the DHT22 accuracy rate is 94.69% while the LM35 is 71.80%.]]>
<![CDATA[PERANCANGAN SISTEM KENDALI VOLUME PENGISIAN AIR ISI ULANG GALON DENGAN SENSOR ALIRAN AIR BERBASIS OUTSEAL PLC ]]>
<![CDATA[Huda, Miftakhul]]>;
<![CDATA[Arfan Haqiqi Sulasmoro]]>
<![CDATA[ MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/must.v9i1.23677
<![CDATA[Drinking water is needed by humans. Most people in Indonesia still use well water as a source of clean water to fulfil their daily needs. With the increase in activity and the development of the times, some people switch to using refill drinking water for their daily drinking needs. The process at drinking water refill depots is generally still carried out using relatively modern equipment, but the process of filling water into gallons is still manual. The operator must press a button to start filling and pay attention to the level of water fullness during the filling process. This is inefficient and can also lead to uncertainty of the volume of water filled in gallons. Automatically, consumers can be disadvantaged because the volume of water entering the gallon is not the same even with the same operator. this certainly has obstacles. So it is proposed to make a system that is able to regulate the volume of water that has been determined. The methodology used with the stages of design and manufacture, testing, data analysis, evaluation of research results and preparation of research reports. The system is made by utilising Outseal PLC as a controller, the volume of water is obtained from the pulse calculation given by the water flow sensor, while the HMI is used as an interface in using the system connected to Outseal PLC via Bluetooth. The test results for 1 litre of water with Wasser Pump PB-60EA average pulse sent as many as 350 pulses and a length of time of 13 seconds while the test results with pump 775 12VDC average pulse sent as many as 307 pulses and a length of time of 20 seconds.]]>
