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E-Jurnal Matematika
Published by Universitas Udayana
ISSN : -     EISSN : 23031751     DOI : https://doi.org/10.24843/MTK
Core Subject : Education,
Mathematics
The scope of the E-Jurnal Matematika includes analysis, algebra, topology, graphics, numerical simulation approaches or what is known as numerical analysis, optimal control, queuing problems, optimization, finance, biomathematics, industrial mathematics, financial mathematics, and others.
Arjuna Subject : Matematika - Matematika Terapan
Articles 15 Documents
 1   2 
ANALISIS SENTIMEN PROGRAM MAKAN BERGIZI GRATIS MENGGUNAKAN SVM DAN KNN DENGAN TF-IDF DAN TF-ABS MAJIDAH, SEVIRA HUKMAN; HENDIKAWATI, PUTRIAJI
E-Jurnal Matematika Vol. 15 No. 1 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i01.p496

Abstract

The Free Nutritious Meal Program, initiated by the government to improve child and maternal health, has generated varied public responses on social media. This study aims to classify public sentiment toward the program by applying machine learning models to social media text data. The dataset used consists of 9000 tweets from Platform X that have been manually labeled into positive, negative, and neutral categories. Classification was performed using Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms combined with two term weighting techniques Term Frequency-Inverse Document Frequency (TF-IDF) and Term Frequency-Absolute (TF-ABS). The performance of each model was evaluated using accuracy, precision, recall, and F1-score. The results show that SVM model with TF-ABS achieved the best performance with 99.69% accuracy, precision 99.69%, recall 99.68%, and F1-score 99.68%. The KNN model with TF-ABS also performed well, reaching 95.55% accuracy. In contrast, models employing TF-IDF demonstrated noticeably lower performance, with the SVM achieving an accuracy of [75,53%] and the KNN reaching [70,89%], indicating a clear performance gap compared to the TF-ABS weighting scheme. This research provides insights into suitable machine learning models and term weighting methods for sentiment analysis of public opinion on government programs using social media data.
PEMODELAN MATEMATIKA KEKERASAN DALAM RUMAH TANGGA (KDRT) TERHADAP PEREMPUAN DI INDONESIA DENGAN MENGGUNAKAN SOLUSI NUMERIK RUNGE-KUTTA ORDE EMPAT AULIYAK, MAMLUATUL; HASANAH, AMALIYATUL
E-Jurnal Matematika Vol. 14 No. 4 (2025)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2025.v14.i04.p495

Abstract

The high number of domestic violence cases in Indonesia indicates the need for a scientific approach to understand the dynamics of the spread and more systematic control efforts. In this study, model is developed into six compartments, namely ShIRSvHC. In the model, the equilibrium point and stability of the equilibrium point are sought, as well as numerical simulations using the fourth order Runge-Kutta method and the simulation results are compared with actual data for 2020-2024. Evaluation of model accuracy is done by calculating the relative error. The simulation results show that the sub population has decreased every time with a population of about 268,030 women. The I population experienced an increase at the beginning of the period and experienced a significant decrease in the following year, the R population experienced an increase at the beginning to the middle of the period and for the and H, C populations experienced an increase every time.
ANALISIS PREFERENSI PELAKU UMKM DALAM MEMILIH BANK DENGAN PENERAPAN TEORI PERMAINAN NAKISOMA, IRENE; TASTRAWATI, NI KETUT TARI; SARI, KARTIKA
E-Jurnal Matematika Vol. 14 No. 4 (2025)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2025.v14.i04.p494

Abstract

Business actors require banking services that effectively support their financial activities. The variety of available banks requires institutions to understand customer preferences in order to develop competitive strategies. This study aims to determine the optimal strategy that banks may implement based on the preferences of micro, small, and medium business actors using game theory. The research employed a two-stage data collection process. The first stage involved 30 respondents to identify the two most preferred banks, namely Bank A and Bank B. The second stage involved 108 respondents, determined through the Yamane formula, to evaluate eight strategic banking attributes. Payoff values were calculated using the difference in preference probabilities for each attribute. Game theory analysis used a two-person zero-sum game with pure strategies. The results indicate that Bank A optimal strategy is ATM availability, while Bank B optimal strategy is loan interest rates. These findings may assist banks in enhancing their services according to business actors’ preferences.
METODE REGRESI MULTILEVEL UNTUK MENGIDENTIFIKASI FAKTOR-FAKTOR LAMA MASA STUDI MAHASISWA FMIPA UNIVERSITAS UDAYANA UTAMI, DEWA AYU MADE SRI WIJAYATI; SUSILAWATI, MADE; SUKARSA, I KOMANG GDE
E-Jurnal Matematika Vol. 15 No. 1 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i01.p497

Abstract

Hierarchical data is data that has a multilevel structure, where individuals belong to certain groups and variables are measured at different levels. Analysis of hierarchical data without considering group membership may result in bias due to violation of the independence assumption. Multilevel regression analysis is a statistical method to overcome this problem by modeling the data structure at several levels. This study aims to apply three-level multilevel regression analysis to identify factors that affect the study duration of undergraduate students at FMIPA Udayana University. In this data structure, students are at the first level, grouped into classes at the second level, and the classes are in study programs at the third level. The model uses random intercepts as well as exploring random slopes to assess differences in the influence of independent variables between study programs.
ANALISIS DINAMIK MODEL PENYEBARAN PENYAKIT DEMAM BERDARAH DENGUE (DBD) DENGAN PENGARUH TERAPI NINGTIAS, YESINTA KHARISMA; QOMARUDIN, M. NUR HAQQUL; AKBARITA, RACHMADANIA; ROBBY, RIZKA RIZQY
E-Jurnal Matematika Vol. 15 No. 1 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i01.p498

Abstract

Dengue Hemorrhagic Fever (DHF) is a viral infectious disease transmitted through the bite of the Aedes aegypti mosquito. This study analyzes the equilibrium effect of therapy in controlling the spread of DHF. A mathematical modeling approach is used to predict the dynamics of the spread of DHF by considering the intervention of therapy use. This model describes the interaction between human population and the effectiveness of therapy. The results of the analysis with a disease-free equilibrium . While the endemic equilibrium point is  with . Stability is achieved when the eigenvalue is less than zero. Disease-free stability is said to be stable when the value of  and endemic stability is said to be stable when the value of . The results of the traveling wave in the model have a minimum speed with . In this case, with the existence of this minimum speed, the wave of spread in the future can occur again needs to be watched out for properly. By carrying out therapy, it is hoped that it can help infected individuals.

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