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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 65 Documents
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Application of Fuzzy Linear Programming to Optimize the Amount of Chicken Production Using Tsukamoto Method (Case Study: Ayam Geprek XYZ) Erwin; Simbolon, Angelika; Batubara, Agnes; Br Ginting, Julhanna
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 2 (2023): 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.v5i2.16700

Abstract

Fuzzy linear Programming is the development of a linear program model to find and determine the optimal value containing fuzzy values. To optimize the amount of raw chicken production, this research uses the Tsukamoto method and Fuzzy Linear Programming (FLP). This case study is focused on Ayam Geprek Campus Habibi. Market demand, raw material availability, and production capacity are some of the factors that affect raw chicken production. The FLP method with Tsukamoto approach is used to handle diversity and uncertainty in decision making about chicken production. A case study was conducted to show that this technique is effective in improving production efficiency and resulting in more optimized raw chicken production management decisions. The results of this study are expected to increase our understanding of the application of FLP with Tsukamoto method in the food industry, particularly on how to optimize raw chicken production.
Implementation of Fuzzy Linear Programming (FLP) on Optimizing the Production of Vegetable Rice and Lontong in Warung Makan Ibu Eni Herianto, Tulus Joseph; Feren; Nurhalimah, Aisyah; Br. Sembiring, Melisa M.; Sembiring, James P.
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 2 (2023): 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.v5i2.16833

Abstract

Sellers of vegetable rice and lontong want to increase production levels, but are hampered by determining the quantity of ingredients and the time to produce them. This research aims to optimize the production of vegetable rice and lontong using Fuzzy Linear Programming-Right Hand Side (FLP-RHS) by considering uncertainty in demand, raw material prices and production time. It is hoped that the research results can help sellers determine optimal production quantities. The research was conducted at Warung Makan Ibu Eni which is located on Jalan Sekip Gang Suropati, Medan Petisah District, Medan City, Indonesia. Data was obtained through direct interviews with the owner of Ibu Eni's food stall to obtain information regarding production time, raw material supplies, selling prices and daily production. Data is processed using FLP and using the POM-QM application. In order to obtain maximum profit, namely Rp. 812,070, 37.93 packs of vegetable rice must be produced and 52.3 packs of lontong must be produced.
Analysis of Estimated Electricity Consumption of Medan City in 2024-2028 Using Fuzzy Mamdani Logic Gultom, Parapat; Thianujaya, Wendy
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 1 (2023): 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.v5i1.16869

Abstract

This research employs fuzzy linear programming with Mamdani fuzzy logic to predict electricity consumption in Medan City. Data from the Central Statistics Agency (BPS) for the years 2019-2023, including population, electricity customers, Gross Regional Domestic Product (PDRB), and electricity consumption, were analyzed quantitatively. Data processing involved fuzzification, rule formation, rule composition, and defuzzification, with simulations and testing conducted using MATLAB software. The research findings indicate a forecasting error rate of 1.514%, demonstrating effective performance in predicting electricity consumption. Elasticity analysis reveals that electricity consumption in Medan City is significantly influenced by PDRB, providing crucial insights for future energy planning.
The Selection of an E-Wallet by Mathematics Students at the University of North Sumatra Using the Analytical Hierarchy Process (AHP) Method Siringoringo, Yan Batara Putra; Tiovanny, Angel; Waruwu, Cindy Berlianti; Simanjuntak, Jelita Octavia
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 2 (2023): 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.v5i2.16873

Abstract

Choosing an e-wallet is an important decision for students at the University of North Sumatra (USU) because it affects their financial management. The Analytical Hierarchy Process (AHP) method is used to evaluate and compare available e-wallets based on criteria that are relevant to students. This method allows students to determine the e-wallet that best suits their needs and priorities. This study shows that AHP is a useful tool to help students choose the right e-wallet.Keyword: e-wallet, management, Analytical Hierarchy Process, priorities
Comparison of Tsukamoto and Mamdani Methods for Forecasting Rice Production in North Sumatra for 2024 Dewi, Enita; Nababan, Meni Nurmasita; Manik, Vepita Vemka; Panggabean, Theresia Defi Lasmaria
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 2 (2023): 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.v5i2.16900

Abstract

The application of the Tsukamoto and Mamdani methods is widely used in predicting an object based on the objective function to be achieved. This study compares both methods for determining rice production to identify the best method for prediction processes based on error values or forecasting accuracy levels. In predicting rice production, fuzzification and defuzzification stages occur. Actual data that is vague is processed into crisp numbers. Based on the calculation of error values or forecasting accuracy results for each method, the Mean Absolute Percentage Error (MAPE) value for the Mamdani method is 30% and the Tsukamoto method is 22%. Therefore, the forecasting system using the Tsukamoto method is sufficiently effective to predict production results
Analysis of the Determinants of Eldery Proverty in Indonesia in 2022 Napitupulu, Normalina; Hasudungan, Raju; Amanda, Dila; Sylvia, Bebby
Journal of Research in Mathematics Trends and Technology Vol. 4 No. 2 (2022): 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.v4i2.16916

Abstract

Indonesia is entering a period of demographic bonus with the lowest projected dependency ratio in 2030. This bonus is expected to accelerate the development of various sectors. However, the increase in the number of elderly people, which reached 9.78% in 2020, signifies the potential of the ageing population era. Special handling is needed to avoid negative impacts on development and the risk of elderly poverty. This study uses a survey of 300 elderly people and binary logistic regression analysis to evaluate the factors that influence elderly poverty. The results showed that education, working status, area of residence, marital status, and social security had a significant effect, while functional impairment did not. Recommendations include improving access to education and equitable distribution of elderly social security programmes across Indonesia.
Implementation of the Doubling Mamdani Fuzzy Method in Comparing the Output Quality of Four-Wheeled Vehicles in 2024 Balqis, Muthia Ferliani; Gultom, Abel
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 1 (2023): 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.v5i1.16923

Abstract

Nowadays, a four-wheeled vehicle or a car is already a primary necessity for most people. Various functions and advantages exist in four wheeled vehicles that are the factors that make the existence of four wheels very helpful in transportation and other activities. As a dynamic means of transportation, four-wheeled vehicles from year to year have been increasing in models and are becoming more and more sophisticated. The problem is that as a prospective buyer, one will surely be confused in choosing a four-wheeled vehicle among its various variations and models. In this paper will be given enlightenment in the selection of four-wheeled vehicles of such variation. Fuzzy decision making, or fuzzy decision maker, with the method of scanning, is designed to help the prospective buyer in selecting the four-wheeled vehicle that meets the criteria of the potential buyer. Based on the criterion desired by the prospecting buyer, the data around the four wheeled vehicles will be processed in the fuzzy assembly system until in the end each of the vehicle four wheels produces fire strength
Determining the Location of Nenas Processing Factories in North Sumatra Using Dijkstra Algorithm Yan Batara Putra Siringoringo; Lentina Sitinjak; Enita Dewi Tarigan
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.v6i1.16978

Abstract

Pineapples have many health advantages. In addition to having many health benefits, this fruit can be processed into juice, jam, syrup, and chips. Pineapple is often eaten as fresh fruit and utilized primarily for its flesh. The community has not utilized this potential to its fullest extent. The production of pineapples is ranked second after oranges, according to statistics from the Central Statistics Agency of the North Sumatra Province for the year 2018-2019. This indicates that pineapples have a lot of potential for development both domestically and eventually for export. Determining the best route for transportation to the pineapple processing factory and the lack of one in North Sumatra provide the primary research challenges. In literary works, the factory's location is ascertained by analyzing production levels and utilizing Dijkstra algorithm programming to find the shortest transit path from the producing region to the factory. Using Google Maps, the 10 highest generating regions were identified for this study, with the district capital serving as the vertex and the distance between regions serving as the edge. According to the research findings, the pineapple processing plant was located in the middle of North Tapanuli Regency, and the shortest path between each region and the processing factory location was identified
Implementation of K-Means Clustering to Human Development Indicators in East Nusa Tenggara Simarmata, Justin Eduardo; Chrisinta, Debora; Purnomo, Miko
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.v6i2.17066

Abstract

K-Means has been adopted to group various cases related to the quality of humanresources and economic growth. This study aims to apply K-Means to thecharacteristics based on selected Human Development Index (HDI) indicators,namely the average length of schooling, the expectation of length of schooling andlife expectancy in Province of East Nusa Tenggara. The optimal cluster obtainedis 6 clusters. The cluster with the highest average value of all variables is in cluster1 which is Kupang City area. Meanwhile, condition cluster 6 provides the smallestlife expectancy value compared to other clusters. The smallest average variable ofschool length is in cluster 2. The regions that provide the smallest numberexpectation of length of schooling is in cluster 5.
Analysis of the Use and Application of Mathematics in Economics: Demand and Supply Functions Andrew Satria Lubis; Zulfan; Mutia Fitri Chania; Ishbir Mujahid Adha
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.v6i1.17603

Abstract

The aim of this study is to analyze how mathematics is used in economics in terms of the function of supply and demand, which is an important concept in the economy that explains the relationship between the price of goods or services and the quantity requested or offered. Using a mathematical approach, these concepts can be described more quantitatively and accurately, allowing for a more in-depth analysis of the functions of demand and supply. To determine the components that influence changes in supply and demand, mathematical models such as linear regression and elasticity analysis are used. In addition, the study examines how price changes affect market balance and how the functioning of supply and demand can be influenced by things that come from outside, such as government policies and the global economic situation. Research results show that analysis of the function of supply and demand using mathematical models gives us a better understanding of market dynamics. For example, analysis of demand elasticity shows how sensitive consumers are to price changes, and analysis of supply shows how prepared producers are for price changes. Policymakers and market players can make more strategic and informational choices by knowing these mathematical relationships. The study found that mathematics improved the predictability and accuracy of economic analysis and provided essential tools for good decision-making in various economic contexts.

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