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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 10 Documents
 1 
Search results for , issue "Vol 10 No 1 (2025)" : 10 Documents clear
ANALISIS PENERIMAAN PENGGUNA TERHADAP PEMBELAJARAN MULTIMEDIA PEMROGRAMAN BERORIENTASI OBJEK BERBASIS QR CODE PADA PENDIDIKAN VOKASI DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Al Husaeni, Dwi Fitria; Komaro, Mumu; Riza, Lala Septem; Rahman, Eka Fitrajaya; Piantari, Erna; Suherman, Amay
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.v10i1.25503

Abstract

The research objective is to analyze the Technology Acceptance Model (TAM) in measuring QR Code-based object-oriented programming learning multimedia in supporting vocational school students' learning on problem-based object-oriented programming (PBO) material. The TAM model variables used consist of Perceived Usefulness (PU), Perceived Ease of User (PEU), and User Acceptance of IT (UA-IT). The research respondents consisted of 35 students of SMK Negeri 1 Cimahi. The research stages consisted of familiarizing respondents with the use of multimedia, distributing TAM questionnaires, and testing the TAM model using SmartPLS software. The research results show that the average value of the user response questionnaire for QR Code-based PBO learning multimedia is 84.95% in the "Very Good" category. Based on the analysis of the relationship between TAM variables using PLS, it is known that the perceived ease of user variable has a positive influence on the acceptance of QR Code-based PBO learning multimedia, the perceived usage variable has a positive influence on the acceptance of QR Code-based PBO learning multimedia, and the variable perceived ease of use and perceived use. together they have a positive influence on the acceptance of QR Code-based PBO learning multimedia. This research is expected to provide an explanation regarding the use of TAM analysis in learning multimedia
Aplikasi Fuzzy Logic untuk Pengambilan Keputusan Pembelian Kendaraan Mobil Menggunakan Metode Mamdani Andriani, Nina; Gunawan; Tumanggor, Yosua; Eka Febrianto, Firza
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.v10i1.25646

Abstract

Vehicles have now become an essential basic need for society. Cars are one of the transportation tools that can be chosen for activities because they can accommodate more than one passenger and offer comfort while driving, eliminating concerns about bad weather during outdoor activities. When purchasing a car, consumers are faced with numerous criteria that influence the selection of the car they want, which makes it difficult for consumers to choose the right car. Several car specifications that consumers consider include the car's weight, passenger capacity, engine size, maximum power, and price. This study discusses the process of recommending the most suitable and needed cars for consumers. By using the fuzzy Tahani method, the processed car data will generate outputs in the form of recommended cars for consumers. This research is expected to assist prospective car buyers in determining the car that best matches their chosen criteria.
PEMODELAN RISIKO KERUGIAN AKIBAT GEMPA BUMI: STUDI KASUS WILAYAH M7 MEGATHRUST INDONESIA Permata Sari, Dea; Azizah, Azizah
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.v10i1.25967

Abstract

Indonesia faces a high risk of earthquakes due to its location in the megathrust zone, including the M7 Sunda Strait segment, which has the potential for high-magnitude earthquakes. This study aims to model and estimate potential financial losses caused by earthquakes using the Earthquake Catastrophe Model, which consists of four main modules: hazard, inventory, vulnerability, and loss. Earthquake data obtained from the official USGS website were processed using the declustering method to extract mainshock events. The Generalized Pareto Distribution was then applied to model earthquake magnitudes, while spectral acceleration values were calculated using the attenuation function of Zhao et al. (2006). A Monte Carlo simulation was conducted to generate stochastic earthquake events and to simulate total aggregate loss (S), which was subsequently modeled using the Bernoulli-Lognormal Two-Part Model. The results indicate that, with a 95% confidence level, the estimated financial loss due to an earthquake in the M7 megathrust zone of the Sunda Strait will not exceed IDR 298 billion. These findings are expected to serve as a foundation for disaster risk mitigation planning and insurance financing schemes for local governments and the financial sector in Indonesia.
ESTIMASI CADANGAN KLAIM IBNR: PENDEKATAN METODE BORNHUETTER FERGUSON DAN METODE MUNICH CHAIN LADDER Azizah, Azizah; Fatma Sari, Ardia; Indhira Putri, Meidy
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.v10i1.26148

Abstract

Estimating claim reserves in an insurance company is crucial. Inaccuracy of the estimation results can affect the condition of an insurance company. Thus, the estimation results are expected to be close to the actual claims of a company. The purpose of this study is to compare the estimation of claim reserves using the Bornhuetter Ferguson and Munich Chain Ladder methods. The Bornhuetter Ferguson method utilizes internal information in the form of claim data and external information in the form of earned premium (company income derived from premiums paid by the insured). The Munich Chain Ladder method is a development of the Chain Ladder method that considers the correlation element between incurred claim data and paid claim data. In this study, both methods are applied to calculate the claim reserves of an insurance company in Malaysia. The estimation results obtained are the Bornhuetter-Ferguson method produces an estimate of claim reserves of RM2668458000 in paid data and RM3026005600 in incurred data, while the Munich Chain Ladder method produces an estimate of claim reserves of RM2938886000 in paid data and RM2134746600 in incurred data.
PREDIKSI LIVABILITY KOTA SURABAYA BERDASARKAN KEPADATAN POPULASI MENGGUNAKAN MODEL LOGISTIK DAN HIRARKI KLASTER Ilma Wardani, Triska; Shoffa, Shoffan; Suryaningtyas, Wahyuni
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.v10i1.26288

Abstract

This study aims to predict the population of Surabaya City in 2035 using the logistic model and to classify the livability level of each district based on population density. Secondary data were obtained from Badan Pusat Statistik (BPS) for the years 2010–2023. The population projection was conducted using logistic differential equations, while classification was carried out through agglomerative hierarchical clustering analysis using SPSS. The results indicate that districts with high population density, such as Sawahan, Bubutan, and Simokerto, fall into the low livability category. In contrast, districts like Rungkut, Sambikerep, and Gunung Anyar are categorized as highly livable due to their lower density. These findings suggest an inverse relationship between demographic pressure and livability. The classification output, visualized through maps, provides spatial insight to support urban spatial planning and policy-making. The study recommends equitable infrastructure development, population growth control, and service improvement in less livable areas to enhance the overall quality of life in Surabaya.
Pendekatan Ensemble dan Voting untuk Prediksi Cacat pada Berbagai Proyek Perangkat Lunak Kirso, Kirso; Subekti, Agus
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.v10i1.26548

Abstract

This study conducted experiments using ensemble methods, hyperparameter tuning, and voting to improve software defect prediction across multiple projects using the Kamei dataset. Five machine learning models LightGBM, XGBoost, Random Forest, Extra Trees, and Gradient Boosting were applied to six projects: Bugzilla, Columba, JDT, Mozilla, Platform, and Postgres. Overall, the models demonstrated good performance when tested on datasets of projects with similar characteristics or strong relationships, such as Mozilla, JDT, and Platform, achieving accuracy and F1 scores above 80%. This indicates that defect patterns learned from one project can be effectively applied to similar projects. However, the models’ performance dropped significantly when predicting defects in the Bugzilla project from other projects, indicating notable differences in defect patterns or feature incompatibility. Differences in data distribution across projects remain a major challenge in CPDP. Therefore, domain adaptation techniques or feature transformation methods are needed to reduce inter-project differences, enabling the models to better recognize defect patterns across projects. Despite some improvements, data differences and class imbalance still limit prediction performance. Future research should address these challenges.
Sistem Pengambilan Keputusan Kelayakan Penerima Bantuan Sosial di Desa Menggunakan Metode Kombinasi AHP-SAW Kusuma, Sandi Tian Ari; Hartawan, I Gusti Nyoman Yudi; Sariyasa, Sariyasa
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.v10i1.26744

Abstract

This study aims to implement and measure the accuracy of the combined Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods in making decisions about providing social assistance in Purwoagung Village. This study is a type of applied research that focuses on solving real problems practically by utilizing data obtained from the village government. Data were collected through observation, interviews, questionnaires, and documentation studies to ensure the validity and completeness of the information. In its implementation, data were analyzed through the stages of data mining, criteria weighting using AHP, and alternative ranking using the SAW method. The results showed that of the six criteria used, the head of the family's occupation had the highest weight (0.453), followed by home ownership status, number of dependent children, savings ownership, cooking fuel, and type of house floor. The alternative with the highest preference value of 0.866 was determined as the main priority recipient, while the lowest alternative obtained a value of 0.325. Accuracy testing using a confusion matrix showed an accuracy level of the AHP-SAW method of 92.11%, indicating very good classification performance. These results prove that the AHP-SAW method is effective in determining the eligibility of social assistance recipients objectively, systematically, and efficiently. This study recommends further development with additional methods to improve the accuracy and use of the results of this study by the village in preparing policies for the distribution of social assistance that are more targeted, fair, and transparent. Keywords: social assistance, community, Purwoagung Village, AHP – SAW method.
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.

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