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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 6 Documents
 1 
Search results for , issue "Vol 10 No 2 (2025): DECEMBER" : 6 Documents clear
PEMODELAN RISIKO EPIDEMI PADA BUDIDAYA MASSAL MAGOT (HERMETIA ILLUCENS) MENGGUNAKAN MODEL SIR Anggriani, Nita; Handayani, Lilis; Ermita, Ermita
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 2 (2025): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i2.28034

Abstract

Hermetia illucens, or the Black Soldier Fly  (BSF) maggot, is widely cultivated due to its ability to convert organic waste into economically valuable biomass; however, high colony density increases the risk of disease transmission. This study aims to analyze infection dynamics in maggot colonies using a mathematical modeling approach based on the Susceptible–Infected–Removed (SIR) epidemiological model. A system of differential equations was formulated by incorporating transmission rate (β), recovery or isolation rate (γ), and mortality rate (μ). Simulations were conducted on an initial population of 10,000 larvae with 100 infected larvae on the first day, evaluating three control scenarios: no control, improved sanitation, and rapid quarantine. Model parameters were assumed based on insect epidemiology literature. The results show that without control, an R₀ of 3.50 leads to a rapidly spreading outbreak with a peak infection of approximately 3,600 larvae. The sanitation scenario reduces R₀ to 2.00 with a peak of around 1,500 infected larvae, whereas rapid quarantine lowers R₀ to 1.40 and results in only about 500 infected larvae with a shorter outbreak duration. These findings indicate that sanitation measures and rapid quarantine are effective in reducing outbreak risks in BSF cultivation, with rapid quarantine being the most efficient strategy. The study provides an early theoretical contribution to applying simple epidemiological modeling to support biosafety practices in the BSF industry.
PEMBELAJARAN KOOPERATIF SEBAGAI STRATEGI MENINGKATKAN KETERLIBATAN DAN RESPONS MAHASISWA R, Raudiyah Rizki; Asrul, Asrul; Syarifuddin, Syarifuddin
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 2 (2025): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i2.28225

Abstract

This study aims to provide an overview of student engagement and response during mathematics learning strategy lectures using cooperative learning. The research method used is qualitative, involving 20 students randomly selected from the Mathematics Education program at UIN Sumatera Utara Medan in 2023. Analysis of student engagement was conducted based on observations, questionnaires, and interviews. The results showed that cooperative learning has a positive impact on student engagement and response, with 65% of students showing a good response and an average score of 86.14. This study identified positive academic responses, marked by the creation of new ideas from students' experiences, improved high-level thinking skills, enhanced communication skills, and social skills such as appreciating peers' opinions, exchanging ideas, and teaching acceptance of divers
Berpikir Kritis Matematis Ditinjau dari Kemampuan Awal pada Topik Statistika Risnawati, Risnawati; Hamdani, M. Fikri; Syarifuddin, Syarifuddin
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 2 (2025): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i2.28280

Abstract

This study aims to analyze students’ mathematical critical thinking skills in relation to their initial abilities on the topic of statistics. This investigation is essential because statistical topics require the ability to interpret data, analyze relationships between pieces of information, evaluate solution strategies, and draw inferences; therefore, initial ability plays a substantial role in shaping the quality of students’ critical thinking processes. The research employed a descriptive qualitative approach with an intrinsic case study design to explore in depth the characteristics of students’ critical thinking based on their initial ability categories. The participants consisted of six seventh-grade students selected according to their levels of initial ability low, medium, and high. Data were collected through tests and interviews. The findings reveal that (1) students with low initial ability were only able to perform interpretation, (2) students with medium initial ability could perform interpretation, analysis, and evaluation though not yet completely, and (3) students with high initial ability were able to demonstrate all four indicators of critical thinking comprehensively. These results highlight the importance of considering students’ initial ability when designing assessments and learning activities that demand higher-order thinking skills (HOTS).
PERBANDINGAN K-MEANS DAN K-MEDOIDS DALAM PENGELOMPOKKAN KOMODITAS EKSPOR INDUSTRI DI INDONESIA Arifa, Panji Lokajaya; Rahmasari, Hazelita Dwi; Aimandiga, Carlya Agmis; Fitrianto, Anwar; Yudhianto, Rachmat Bintang
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 2 (2025): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i2.28661

Abstract

International trade plays a crucial role in Indonesia's economic growth, particularly through industrial commodity exports. However, its heavy dependence on a few key commodities makes it vulnerable to global market fluctuations. This study aims to explore trends in industrial commodity export values ​​and compare the performance of cluster methods in grouping commodities based on their value patterns. The research data used are monthly export values ​​from 2022 to mid-2025, sourced from the Central Statistics Agency (BPS). The analytical methods used include trend exploration and cluster analysis with K-Means and K-Medoids using Dynamic Time Warping (DTW) distance. The results of the export value trend exploration indicate that palm oil dominates industrial export value, while other commodities tend to have stable patterns at medium to low values. Evaluation of clustering results using K-Means and K-Medoids each obtained 3 clusters indicating that K-Medoids provided the best performance by obtaining a Silhouette Score of 0.1577 and a Davies-Bouldin Index (DBI) of 1.7990. This value is better than K-Means which obtained a Silhouette Score of 0.1493 and a DBI of 2.3037 indicating that the method is less than optimal in separating clusters. This finding explains that K-Medoids is more robust against outliers and is able to provide more representative groupings. So it can provide a deeper understanding of commodity grouping patterns and contribute to providing export policy recommendations to reduce dependence on primary commodities and increase the export competitiveness of Indonesian industrial products.
Augmentasi GPT-4o dan Fine-Tuning IndoBERT untuk Analisis Sentimen Publik pada Isu Reshuffle Menteri Keuangan Kamila, Sabrina Adnin; Wahda, Aisya Wina; Febriati, Baiq Nina; Anwar Fitrianto; Rachmat Bintang Yudhianto
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 2 (2025): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i2.28707

Abstract

Reshuffle Menteri Keuangan pada tahun 2025 memicu perhatian publik luas dan menghasilkan dinamika opini di media sosial, khususnya X. Opini publik yang terekam dalam bentuk teks bersifat masif, real-time, dan tidak terstruktur, sehingga menghadirkan tantangan analisis karena penggunaan bahasa informal serta distribusi kelas sentimen yang tidak seimbang. Penelitian ini bertujuan untuk mengidentifikasi sentimen publik terkait reshuffle Menteri Keuangan dengan memanfaatkan integrasi GPT-4o dan IndoBERT. GPT-4o digunakan sebagai instrumen augmentasi data untuk memperkaya kelas minoritas, sedangkan IndoBERT berperan sebagai model klasifikasi sentimen yang dioptimalkan untuk bahasa Indonesia. Hasil penelitian menunjukkan bahwa pendekatan ini mampu meningkatkan kualitas representasi data dan stabilitas klasifikasi. Model IndoBERT yang dilatih dengan data hasil augmentasi mencapai akurasi 86% dan macro-F1 sebesar 0,86, dengan performa terbaik pada kelas negatif (F1=0,88), disusul positif (F1=0,86) dan netral (F1=0,83). Temuan ini menegaskan bahwa integrasi GPT-4o dan IndoBERT efektif dalam mengatasi imbalanced data serta meningkatkan keandalan analisis sentimen berbahasa Indonesia. Penelitian ini tidak hanya memperkaya literatur analisis teks di Indonesia, tetapi juga memberikan kontribusi praktis bagi pembuat kebijakan dan media dalam memahami opini publik secara lebih proporsional.
Pengembangan E-Modul Epembelajaran Berbasis Etnomatematika untuk Meningkatkan Kemampuan Berpikir Kritis dan Komunikasi Matematis Peserta Didik Fitri Febrianti; Suharti; Lisnasari Andi Mattoliang; Andi Ika Prasasti Abrar; Andi Dian Angriani
MUST: Journal of Mathematics Education, Science and Technology Vol 10 No 2 (2025): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v10i2.29118

Abstract

Rendahnya kemampuan berpikir kritis dan komunikasi matematis peserta didik menuntut pengembangan bahan ajar inovatif yang kontekstual. Penelitian ini bertujuan mengembangkan e-modul pembelajaran berbasis etnomatematika yang valid, praktis, dan efektif untuk meningkatkan kemampuan berpikir kritis dan komunikasi matematis peserta didik pada materi statistika. Penelitian ini merupakan penelitian pengembangan dengan menggunakan model ADDIE yang meliputi tahap analysis, design, development, implementation, dan evaluation. Subjek penelitian terdiri atas 23 peserta didik kelas XI SMAN 6 Luwu Utara. Instrumen penelitian meliputi lembar validasi ahli, angket respons guru dan peserta didik, lembar observasi keterlaksanaan pembelajaran dan aktivitas peserta didik, serta tes kemampuan berpikir kritis dan komunikasi matematis. Data dianalisis secara deskriptif kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa e-modul yang dikembangkan memiliki tingkat validitas sangat tinggi dengan skor rata-rata 3,89. Kepraktisan e-modul ditunjukkan oleh keterlaksanaan pembelajaran dengan skor rata-rata 1,8 dan respons guru sebesar 90% pada kategori sangat baik. Keefektifan e-modul terlihat dari persentase kemampuan berpikir kritis sebesar 86,41% dan komunikasi matematis sebesar 85,87% pada kategori baik. Dengan demikian, e-modul pembelajaran berbasis etnomatematika dinyatakan layak digunakan sebagai bahan ajar kontekstual di sekolah menengah atas.

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