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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 216 Documents
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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.
SUATU KAJIAN DERIVASI YANG DIINDUKSI OLEH ENDOMORFISMA PADA PSEUDO BG-ALJABAR Ramadhani Fitri Fitri; Sri Gemawati; Susilawati Susilawati
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.v10i2.30742

Abstract

Penelitian ini mengembangkan konsep derivasi pada pseudo BG-aljabar melalui pendekatan berbasis endomorfisma. BG-aljabar (P; ∗, 0) adalah himpunan tak kosong P dengan operasi biner ∗ dan konstanta 0 yang memenuhi aksioma (BG1) p ∗ p = 0, (BG2) p ∗ 0 = p, dan (BG3) (p ∗ q) ∗ (0 ∗ q) = p untuk setiap p, q ∈ P. Pseudo BG-aljabar (R; ∗, ⋄, 0) merupakan generalisasi BG-aljabar dengan dua operasi biner yang memenuhi (PBG1) p ∗ 0 = p ⋄ 0 = p, (PBG2) p ∗ p = p ⋄ p = 0, dan (PBG3) (p ∗ q) ⋄ (0 ∗ q) = (p ⋄ q) ∗ (0 ⋄ q) = p untuk setiap p, q ∈ R. Penelitian ini memperkenalkan dua jenis derivasi utama, yaitu f-derivasi dan (f, g)-derivasi, yang masing-masing dikonstruksi melalui operasi gabungan (⊛) dan operasi simetris (⊙). Metode penelitian menggunakan pendekatan aksiomatik-deduktif dengan teknik pembuktian teorema berbasis sistem aksioma pseudo BG-aljabar. Hasil penelitian menunjukkan bahwa pendekatan menggunakan endomorfisma, baik dengan satu fungsi f maupun pasangan fungsi (f, g), menghasilkan kerangka derivasi yang konsisten dan dapat dikarakterisasi secara sistematis. Teorema fundamental membuktikan bahwa f-derivasi kiri reguler identik dengan endomorfisma penginduksinya. Kerangka teoretis yang dihasilkan memberikan landasan untuk eksplorasi derivasi pada struktur aljabar pseudo lainnya.
Perbandingan Algoritma Kruskal dan Prim dalam Menentukan Minimum Spanning Tree untuk Optimasi Jaringan Distribusi Listrik Euis Sartika; Anie Lusiani
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.28234

Abstract

This study aims to compare the performance of the Kruskal and Prim algorithms in solving the Minimum Spanning Tree (MST) problem for the PLN UP3 Cimahi electricity distribution network using Python-based Google Colab. The study employs an applied research methodology, utilising data on the lengths of electricity network cables modelled as a weighted graph. The analysis was carried out using the NetworkX library on Google Colab to construct the MST using both algorithms. The results show that both algorithms produced the same total MST weight of 1,258.05 metres, which is less than the initial network length of 1,424.61 metres, resulting in an efficiency of 11.69 per cent. Although they produced identical solutions, the Kruskal algorithm is simpler to apply to networks with a large number of nodes because the weight sorting process is carried out at the beginning. This study demonstrates that Google Colab is an effective platform for both learning and implementing graph theory-based network optimisation.
Klasifikasi Tingkat Masalah Gizi Balita 2024 Menggunakan Logika Fuzzy Mamdani di Jawa Tengah Dian Fitri Fransiska; Agus Maman Abadi; Gunawan Gunawan
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.30829

Abstract

Child malnutrition remains a serious challenge in developing countries, including Indonesia, particularly in Central Java Province, which has recorded alarming prevalence rates of stunting, wasting, and overweight. This condition affects children's cognitive development, brain function, academic achievement, and future productivity. Variations in nutritional indicators across districts and municipalities render conventional analysis inadequate for accurately depicting local conditions. This study aims to develop a classification system for the level of under-five malnutrition using the Mamdani Fuzzy Inference System (FIS) method assisted by RStudio software. The model utilizes three main indicators as inputs—stunting, wasting, and overweight—derived from the 2024 SSGI (Indonesian Nutritional Status Survey) data, with 27 fuzzy rules (rule base), and produces an output classifying the level of under-five malnutrition into four categories: low, moderate, high, and very high. The analysis was conducted on 35 districts/municipalities in Central Java. The results show that 9 regions (25.71%) fall into the low category, 23 regions (65.71%) into the moderate category, 3 regions (8.57%) into the high category, and none into the very high category. The fuzzy approach proved more flexible and adaptive than traditional categorical methods and shows potential as a decision-support tool for regional nutrition intervention policy.
Deconstructing Lecturer Performance Patterns Based on Longitudinal Data: An Educational Data Mining Approach Using K-Means Clustering` Basrul Basrul; Samsul Bahri; Alim Misbullah
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.30854

Abstract

Lecturer performance evaluation (EDOM) in higher education is often reduced to a single average score that fails to capture the heterogeneity of teaching competency profiles. This study deconstructs lecturer performance patterns through an Educational Data Mining (EDM) approach to overcome the "Data Rich, Information Poor" phenomenon. Using an eight-semester longitudinal database (2021–2024) covering a population of 493 lecturers and 5,577 evaluation records at UIN Sultanah Nahrasiyah, an adaptive scale-harmonization procedure was applied to equate evaluation instruments that differed across years. Empirical validation using the Elbow Method identified three distinct performance typologies: an Excellence cluster (32.8%; IKD 3.97, minimal load), a High Productivity cluster (36.1%; extreme load of 23.69 classes, moderate performance), and an Underperformance cluster (31.1%; fundamental competency constraints despite a low workload). Pearson and Spearman correlation tests confirmed no significant linear relationship between teaching load and IKD (p > 0.05), reinforcing the non-linear nature of the relationship. These findings confirm the existence of a Productivity Paradox in higher education and recommend a shift from uniform HR development policies toward a data-cluster-based differentiation strategy.
PENGEMBANGAN LKPD BERBASIS PROBLEM BASED LEARNING PADA MATERI LAPORAN KEUANGAN UNTUK MENINGKATKAN KEMAMPUAN NUMERASI SISWA SMK Defti Maulindra; Rosita Dwi Ferdiani; Timbul Yuwono; Irawati Irawati
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.v10i2.30862

Abstract

Vocational high school students' numeracy skills in financial statement topics remain relatively low due to the limited availability of contextual teaching materials and the lack of learning activities that actively engage students in solving real-world problems. This study aimed to develop a Problem-Based Learning (PBL)-based Student Worksheet (LKPD) on financial statement materials to support the improvement of students' numeracy skills at SMKS Maarif NU 4 Pakis. The study employed a Research and Development (R&D) approach using the ADDIE development model, which consists of the analysis, design, development, implementation, and evaluation stages. The research participants were eleventh-grade students at SMKS Maarif NU 4 Pakis. The research instruments included expert validation sheets, student response questionnaires, and a numeracy skills test. The data were analyzed using descriptive quantitative techniques based on percentage scores to evaluate the validity, practicality, and effectiveness of the developed product. The results showed that the developed worksheet achieved a validity score of 94%, categorized as very valid, a practicality score of 81.26%, categorized as very practical, and a learning mastery level of 81.48% in the large-scale field trial. These findings indicate that the developed PBL-based Student Worksheet (LKPD) met the criteria of validity, practicality, and effectiveness according to the indicators used in this study. Therefore, it is suitable for use as instructional material to support the learning of financial statement topics and to enhance students' numeracy skills.
Etnomatematika Motif Tenun Karaja Lamboya: Analisis Struktur Geometri dan Makna Filosofis dalam Tradisi Sumba Barat Mitra Permata Ayu; Lidia Lali Momo
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.31292

Abstract

Ethnomathematics is present and innovated through the culture of certain communities, one of which is reflected in the Karaja weaving. The Karaja weaving motif is one of the local cultural heritages that has a simple geometric pattern but is full of philosophical meaning. The purpose of the study is to integrate: 1) the geometric structure found in the Lamboya Karaja weaving motif; 2) the philosophical meaning contained in each Lamboya Karaja weaving motif according to the views of the customary rato. This study uses a qualitative method with a holistic ethnographic approach. Researchers are directly involved in the data collection process and act as the main instrument through the collection of participant observations, in-depth interviews and documentation. The analysis technique is simultaneous and through 4 stages, namely (1) Domain; (2) taxonomy; (3) componential and (4) cultural themes. The results of the study obtained 1) Karaja weaving has eight geometric structures, namely rhombus, isosceles triangle, rectangle, parallelogram, parallel lines, translation, reflection and folding symmetry; 2) The Karaja ikat woven motif has nine main motifs with philosophical meanings: reba, katari bula, lawata gege, ketupat, pu nabu, uma, kabedo nipe, mamoli, and nyale. This research contributes to providing a theoretical basis for ethnomathematics based on local wisdom that can be implemented as contextual geometry learning materials and media to improve students' mathematical and cultural literacy.
PROBLEMATIKA LITERASI DIGITAL GURU MATEMATIKA : STUDI KASUS IMPLEMENTASI KURIKULUM MERDEKA DI SMP KABUPATEN CILACAP Dwi Andriyani; Mahdia Silmi Aziz; Kusno Kusno
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.31323

Abstract

This study aims to analyze the problems of digital literacy among mathematics teachers in implementing the Merdeka Curriculum in secondary schools. The research employed a qualitative approach with a case study design involving five mathematics teachers in Cilacap Regency selected through purposive sampling. Data were collected using semi-structured questionnaires consisting of Likert-scale items and open-ended questions, and analyzed through descriptive qualitative and thematic analysis techniques. The findings indicate that teachers' digital literacy is generally at a good level, with the highest scores recorded for digital device usage (M = 4.8; very good category) and digital ethics (M = 5.0), yet a significant gap was identified in technical troubleshooting competence (M = 3.4; fair category). More critically, teachers' proficiency in mathematics-specific software including GeoGebra for geometry concept visualization and function exploration, and Desmos for interactive mathematical representation reached only an average score of 4.0, the lowest dimension among all measured application competencies. This finding indicates that technology integration in mathematics learning has not been optimally leveraged, particularly in supporting students' understanding of abstract mathematical concepts through interactive tools. Furthermore, teachers continue to face several challenges, including limited infrastructure and digital devices, difficulties in integrating technology with mathematical concepts, and time constraints due to high workloads. The implementation of differentiated learning within the Merdeka Curriculum also remains a significant challenge. Despite these limitations, teachers demonstrate adaptive capacity by applying digital learning strategies such as blended learning, gamification, and project-based learning. This study concludes that the problems of teachers' digital literacy are multidimensional and require a comprehensive approach through strengthening digital pedagogical competence, institutional support, and adequate infrastructure provision.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SMARTPHONE TERBAIK MENGGUNAKAN METODE FUZZY SIMPLE ADDITIVE WEIGHTING Fadil Ahmat Zikran; Devni Prima Sari
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.31435

Abstract

The rapid development of smartphone technology has created challenges for university students in selecting devices that best support their academic activities. This study aims to determine the most suitable smartphone for students of the Department of Mathematics, Universitas Negeri Padang, Class of 2022. The decision-making process integrates the Cut Off Point (COP), Rank Order Centroid (ROC), and Fuzzy Simple Additive Weighting (FSAW) methods. The research data were collected through questionnaires distributed to 71 student respondents. Eight mid-range smartphone    alternatives, priced between IDR 3,000,000 and IDR 5,000,000 as of February 2026, were evaluated based on the results of the COP selection process. Of the six initial criteria, five were identified as relevant, namely RAM, battery, price, camera, and operating system, while screen size was eliminated. The criterion weights were determined objectively using the ROC method, whereas the FSAW method was employed to calculate the preference values and rank the smartphone    alternatives. The results indicate that the Poco X7 Pro achieved the highest preference value of 0.92 and was classified as Highly Recommended, followed by the iQOO Z9 5G with a preference value of 0.78 and the Redmi Note 14 Pro 5G with a preference value of 0.64. The findings provide smartphone recommendations that align with the priority needs of students in the Department of Mathematics, Universitas Negeri Padang, and can assist them in selecting devices that support academic activities, including data processing, computational tasks, and digital learning, while remaining within their budget.

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