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Elvina Herawati
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Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara Building 1st, Floor 2nd, Jalan Bioteknologi No. 1, Kampus USU Padang Bulan Medan 20155, Indonesia
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Journal of Research in Mathematics Trends and Technology
Published by Universitas Sumatera Utara
ISSN : -     EISSN : 26561514     DOI : https://doi.org/10.32734
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Mathematics
JoRMTT is an international blind peer-review journal dedicated to interchange for the results of research in mathematical sciences and related fields. The journal publishes papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the mathematics trends and technology, the JoRMTT follows the open access policy that allows the published articles freely available online without any subscription. The journal scopes include (but not limited to) the followings: - Numerical Analysis - Mathematical Physics - Probabiliy Theory and Stochastic Processes - Quantitative Finance - Algebra - Mathematics Education - Analysis - Dynamical System and Differential Equations - Geometry and Topology - Operator Theory - Combinatorics and Graph Theory - Mathematical Computer Sciences - Optimization and Approximation Theory - Game Theory
Arjuna Subject : Matematika - Matematika Terapan
Articles 64 Documents
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Integration of AHP and VIKOR Method to Select the Optimum Destination Route Gultom, Parapat; Miranda; Nababan, Esther S.M.; Mardiningsih; Suyanto
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 1 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i1.17717

Abstract

Using a variety of criteria, group decision-making is a popular method for rating possibilities. Here, we assess each choice based on the same standards. AHP and VIKOR techniques have been proposed to address the problem of creating detours to the historical tourism attractions of Medan City. This study modifies the VIKOR technique to identify a feasible solution while evaluating options with both narrow and broad requirements. This study provides numerical examples based on case studies to illustrate the application of the proposed model and assess the effectiveness of this approach modification. The results show that the updated strategy is effective and realistic.
Analysis of Rental Value of Shop Houses in Kecamatan Medan Petisah Risuhendi R; Hilma Tamiami Fachrudin; Rina Bukit
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 2 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i2.17734

Abstract

This research aims to analyze the factors that influence the rental value of shophouses in Medan Petisah District, Medan City. The difference in shophouse rental prices is caused by increasingly expensive land prices, which are influenced by busy locations and the presence of new buildings. The Petisah area has experienced rapid development in recent years, causing a significant increase in land prices. This land issue is very important considering the increasing need for regional development. This research uses a market approach to determine the rental value of shophouses by analyzing the factors of building area, rights (certificates), building age, location, road width and parking area simultaneously and partially on the rental value of shophouses. This type of research is quantitative/associative/correlational with inferential statistical data analysis. The population of this study was all shophouses in Medan Petisah District, totaling 456 shophouses, with a sample of 82 shophouses. Data is processed using multiple regression analysis. The research results show that simultaneously, all independent variables have a significant effect on the rental value of shophouses. Partially, the variables of building area, rights (certificate), building age and parking area have a significant effect, while the variables of location and road width have no significant effect. Based on the regression coefficient value, the variables building area, rights (certificate), building age, and parking area have a positive and significant influence on shophouse rental values ​​in Medan Petisah District, Medan City
Optimizing Sustainable Tourism in North Sumatra: An Analytic Hierarchy Process Approach Using Alternative Sustainability Metrics Sinulingga, Samerdanta; Pohan, Riko Andika Rahmat; Januarini, Erna
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 1 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i1.17740

Abstract

Sustainable tourism focuses on minimizing negative impacts on the environment and local communities while maximizing economic benefits. This study identifies sustainable tourist destinations in North Sumatra using the Analytic Hierarchy Process (AHP) with various sustainability criteria. Beyond common criteria (environmental, economic, and social), it includes alternative metrics like carbon footprint, biodiversity, energy consumption, water management, community participation, local economic revenue, air quality, and visitor satisfaction. Hypothetical scores for 15 destinations were analyzed, and criteria weights were set based on sustainability priorities. Simulations considering budget constraints optimized destination selection. Results indicated that Pulau Samosir, Air Terjun Sipiso-Piso, and Taman Alam Lumbini scored highest in sustainability. These were selected for their top performance against sustainability criteria. The study concludes that incorporating alternative sustainability metrics provides a comprehensive perspective, making the model a valuable tool for policymakers and tourism managers. It also demonstrates that significant sustainability can be achieved even within budget constraints.
Enhancing Higher Education Sustainability Through Quality Management Models Lubis, Andrew Satria; Zulfan; Sinulingga, Samerdanta; Ismayadi, Ismayadi
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 2 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i2.18344

Abstract

Higher education, as part of the service sector, faces significant challenges in managing its systems effectively. To remain competitive and foster growth, private universities require sustainable models that enhance their quality and operational efficiency. This research explores sustainability models for private universities by conducting field surveys and distributing online questionnaires. Data analysis was performed using descriptive statistics and Structural Equation Modeling (SEM). The descriptive analysis highlights key demographic and behavioral characteristics of the respondents, while SEM reveals relationships and factors influencing customer satisfaction and loyalty. Results show that planning, governance, and administration significantly impact education quality, which directly influences the sustainability of private universities. The study also finds that the roles of students, alumni, reputation, and cooperation are crucial in maintaining long-term institutional sustainability. These findings offer practical insights for improving education quality and formulating strategies for private universities to achieve sustainable development.
Modeling Arterial Blood Flow under Stenosis: A Comparative Study of Newtonian and Carreau-Yasuda Non-Newtonian Approaches Erwin; Marpaung, Jonathan Liviera
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 2 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i2.18754

Abstract

This study investigates the simulation of blood flow within arteries experiencing stenosis using both Newtonian and non-Newtonian models. The Newtonian model employs standard fluid dynamics assumptions, while the non-Newtonian Carreau-Yasuda model accounts for the unique viscoelastic properties of blood, providing a more accurate representation of its flow behavior under various shear rates. By utilizing COMSOL Multiphysics, the simulations are conducted with parameters including blood velocity, viscosity, and pressure in normal and narrowed artery conditions. Results reveal that while the Newtonian model predicts general flow patterns, it lacks the precision needed to reflect the complexities of blood behavior in stenosed regions. Conversely, the Carreau-Yasuda model demonstrates enhanced accuracy by capturing viscosity variations and pressure differentials, particularly in the narrowed artery sections, showing the significance of non-Newtonian characteristics in modeling blood flow. These findings underscore the potential of non-Newtonian models in improving diagnostic and therapeutic approaches for vascular conditions.
Matrix Operators and bv Sequence Spaces Anwar, Khoirul; Supama
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 2 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i2.19935

Abstract

In this paper, we study about the matrix domain of the sequence space by several triangle infinite matrices, namely the Cesaro mean of order one matrix, the Generalized Weighted matrix, and the Riesz matrix. Several things related to the matrix domain that will be observed include isomorphism of sequence spaces, -spaces, Schauder bases, -duals, -duals, -duals, and also the characterization of a mapping of a sequence space by some classes of matrix transformations. Furthermore, we also discuss inclusion relations of several matrix domains of the sequence space .
Review of Logistics Models for Perishable Goods: Comparative Analysis of Location Planning and Inventory Management under Supply Chain Disruptions Napitupulu, Normalina; Marpaung, Jonathan Liviera; Sirimavo, Yana; Ayu Dhisa Faradiba Siregar
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.19239

Abstract

This study reviews and compares two logistics models tailored to perishable goods, focusing on the spatial and temporal dimensions of supply chain optimization. The first model proposes a population-density-based location planning framework that applies network centrality measures to determine optimal order fulfillment center locations. The second model introduces a two-warehouse inventory policy designed to handle disruption scenarios, such as lockdowns, by balancing demand variation and spoilage rates. Both models were evaluated for their methodological approaches, performance under disruption, and adaptability. The integrated review underscores the necessity of combining spatial efficiency with dynamic stock resilience to improve supply chain effectiveness for perishable goods. Findings suggest that hybrid models leveraging both geographic and temporal decision layers can significantly strengthen logistics adaptability.
Implementation of RShiny in Developing Interactive Learning Media for Analysis of Variance (ANOVA) Simarmata, Justin Eduardo; Chrisinta, Debora; Purnomo, Miko
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.20167

Abstract

Effective learning is significantly influenced by the methods and media used in the teaching and learning process. However, many students still struggle to understand mathematical concepts due to the limited availability of interactive learning media. Therefore, this study aims to develop and evaluate the effectiveness of a technology-based interactive learning application designed to enhance students' understanding. The development of this application follows several stages, including needs analysis, design, implementation, testing, and evaluation. The application offers various features, such as interactive materials, practice exercises, and visual simulations, to facilitate better comprehension of concepts. The data used in this study consists of pretest and posttest results from 30 students who were given a series of basic questions, including calculating the mean, standard deviation, and performing simple statistical tests. Analysis using the Paired t-Test indicates a significant increase in posttest scores compared to pretest scores (p-value = 3.522e-08). Data visualization in the form of boxplots and line charts also demonstrates a trend of improved student performance after using the application. Thus, this study confirms that the developed interactive application is effective in enhancing student learning outcomes.
The Influence of Leadership, Motivation, and Work Environment on Company Performance at PT PLN (Persero) Sektor Pembangkitan Belawan Lubis, Andrew Satria; Kumalasari, Fauziah; Parluhutan, Taufik Akbar; Lubis, Muhammad Arif
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.20522

Abstract

This study investigates the influence of leadership, motivation, and work environment on company performance at PT PLN (Persero) Sektor Pembangkitan Belawan. Employing a quantitative associative approach, the research utilizes multiple linear regression analysis to examine the relationships among variables. The population comprises 74 employees, with the entire population serving as the sample through a total sampling technique. Data were collected using a Likert-scale questionnaire and analyzed using SPSS software. The results reveal that leadership, motivation, and work environment each have a positive and significant effect on company performance, both partially and simultaneously. The regression equation derived is: Y = 3.203 + 0.275X₁ + 0.263X₂ + 0.197X₃. The model's Adjusted R² value is 0.619, indicating that 61.9% of the variance in company performance can be explained by the three independent variables. These findings underscore the critical role of human resource factors in enhancing organizational performance.​ The study contributes to the literature on organizational behavior and human resource management by highlighting the significance of leadership, motivation, and work environment in driving company performance. It also provides practical insights for managers aiming to improve organizational outcomes through strategic human resource interventions.
Copula-Based Blind Detection of Copy-Move Image Forgery: A Robust Mutual Information Approach Marpaung, Tulus Joseph; Tulus; Sofiyah, Fivi Rahmatus
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.20520

Abstract

Copula functions are powerful statistical tools for modeling the dependency structure between random variables and have been widely applied in domains such as finance, oceanography, and hydrology. However, their application in image processing, particularly for image forgery detection, remains underexplored. This study proposes a novel blind copy-move forgery detection algorithm based on copula-based mutual information, which evaluates statistical dependencies between overlapping image blocks. By leveraging copula theory, the method accurately identifies duplicated regions within a single image without requiring prior knowledge or external references. Experimental results on the CoMoFoD dataset demonstrate that the proposed method achieves high precision, recall, and F1-scores across various manipulation types, including translation, scaling, and rotation, and shows resilience to post-processing operations such as JPEG compression, blurring, noise, and color reduction. Comparative analysis reveals that the copula-based approach outperforms classical methods such as SIFT, SURF, and DWT-SVD. In addition to quantitative performance, qualitative visualizations confirm that the algorithm effectively localizes forged regions in complex scenes with minimal false detections. These findings highlight the potential of copula functions as a robust and efficient framework for digital image forensics.

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