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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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On Sequentially Defined Function Spaces and Bounded Linear Functionals Supama
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 1 (2021): 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.v3i1.4882

Abstract

In this paper, we construct a sequentially defined function space $L_{p,q}(\Omega)$ and observe its topological properties. Further, we formulate necessary and sufficient conditions for bounded linear functionals on the space.
Risk Value Analysis of Gold Futures Trading Investment using Fundamental Analysis, Technical Analysis, and Value at Risk Widya Hardiyanti; Open Darnius
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 1 (2021): 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.v3i1.6468

Abstract

This study was conducted to analyze the value of risk in trading Gold Trading Futures using Fundamental Analysis, Technical Analysis and Value at Risk. Fundamental analysis that uses Wage Income data other than the Agriculture Sector (Non-Farm Payroll), the conditions of the United States economy, and demand for gold prices in the world. Technical Analysis uses Moving Average Convergence / Divergence, Relative Vigor Index, and Pivot Points. Value at Risk is based on normal errors and skewness / kurtosis. The results of the analysis shown are the MACD Indicator has a truth level of 146 out of 226 days of analysis or 64.602%, the RVI Indicator has a truth level of 220 days from 226 days of analysis or 97.345%, Fundamental Analysis has a truth level of 23 out of 23 Excited for a year or 100%. Based on the level of confidence = 95%, it can be concluded that the price of gold with the normal approach (\Psi_{normal}) = 1211.1984 and the price of gold with the skewness and kurtosis approach (\Psi_{SK}) = 1247.34072.
Application of Expectation Maximization Algorithm in Estimating Parameter Values of Maximum Likelihood Model Justin Eduardo Simarmata; H. Bete; S. A. Purba
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 1 (2021): 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.v3i1.8331

Abstract

Parameter estimation is an estimation of the population parameter values ​​based on data or samples of population. Parameter estimation can be solverd by several methods, one of which is the Maximum Likelihood method. The focus of this research is to estimate the parameter value of a normal distribution data with Maximum Likelihood based on iteration algorithm. The iteration algorithm that will be used is the Expectation Maximation Algorithm with help of Matlab 2016a program. Based on the results obtained that the estimation value of the parameter and for an accident data in Indonesia based on age group with using Expectation Maximization algorithm is and with 2 iterations.
The Application of Fisher Scoring Algorithm on Parameter Estimation of Normal Distributed Data Switamy Angnitha Purba
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 1 (2021): 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.v3i1.8345

Abstract

In statistics, parameter estimation is the estimation of a population using sample data. A population data certainly has a certain distribution. Fisher Scoring is a form of Newton's method which is commonly used in solving the maximum likelihood equation. The focus of this research is to estimate distributed data using the fisher scoring algorithm
Analysis of Factors Affecting Birth Weight Using Probabilistic Neural Network (PNN) Ema Pratiwi
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 1 (2021): 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.v3i1.8414

Abstract

The hight mortality rate in newborns is caused by the fact that many babies are born with low birth weight. LBW is one of the factors of infant mortality in Indonesia. Mitra Medika hospital Bandar Kippa is one of the pregnant women who has a Low Birth Weight (LBW) baby. Prevention and treatment of pregnant women when they know that they will give birth to a baby withlow birth weight is very necessary, in order to minimize death during the bieth process. So it is hoped that the existence of a factor analysis that affects birth weight in babies cas help to identify the condition of the baby in pregnant women before the baby is born. In this study, Probabilistic Neural Network (PNN) method was used with 150 data and 7 features including maternal age, maternal weight, maternal height, maternal hemoglobin, gestational distance, parity and maternal education. To get the best accuracy results, training data and testing data are shared using K-Means Clustering. Furthermore, an analysis of the factors that affect BBL using the Probabilistic Neural Network method is carried out, therefore it can be obtained that the probability value affecting BBL is found in the mother’s weight of 0,856 with the highest output layer value in the normal class of 6,741 and an accuracy value of 88,67.
Implementation of Finite Element Method for Structural Analysis of Bridge Resistance Erwin; Joni Joni; Jonathan Liviera Marpaung
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 2 (2021): Journal of Research in Mathematics Trends and Technology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i2.8362

Abstract

The bridge problem is on of the structural phenomenon in physical structural analysis. One of the problems of bridge is how to analyze the fatigue of bridge model so that the the resistance of the bridge may be estimate. In this paper the bridge problem will be explained using Finite Element Method in displacement function analysis. The stress-strain number will be written in parameters of bridge model. the displacement function is clearly influenced by the stress-strain value so that the initialization of the initial value will follow the value of the specified parameter. In this paper the displacement function of the bridge will be explained in simulation model. The result of this research is the difference about initial model to the simulation model so that the resistance of the model can be analyze caused of the initial parameters.
The Use Of The Black Scholes Model In Determining The Price Of The European Type Option Justin Eduardo Simarmata; Z.N. Ahzan
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 2 (2021): Journal of Research in Mathematics Trends and Technology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i2.8642

Abstract

An option is a contract between the seller’s option and the buyer’s option, while the factors that affect the value of the option are the stock price (S), the strike price (K), the maturity date (T), interest rate (r), volatility (σ). The application of the models in this study uses daily stock closing data from PT PP London Sumatra Indonesia Tbk from July 18, 2019, until September 19, 2019, so that the initial stock price is = Rp1,090, the interest rate is 5.5%, the value stock price volatility is 0.253. The computation of the option prices using the Black Scholes model aims to found out all the values ​​generated from European type put options. By applying the Black Scholes model, the value generated from the European type option is Rp14,768.
Goal Programming Model for Tutor Scheduling Herlin Nikmah; Sutarman; Open Darnius
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 2 (2021): Journal of Research in Mathematics Trends and Technology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i2.8858

Abstract

This article presents goal programming model for tutor scheduling. Goal programming is the development of linear programming which has multiple objectives. Goal programming minimizes the deviation among the the desired level of goals and the actual achievement, which is achieved by changing inequality into equality by including positive and negative deviation variables accomplished by converting inequalities into equalities by including positive and negative deviation variables that allow the achievement below or above each goal. The results obtained from this model provide the optimal solutions where all objectives are achieved. This model also aims to achieve harmony and fairness between tutors and institutional management.
Performance Appraisal of Managerial Civil Servants Using the ANP Method and Rating Scale at the Human Resource Development Agency Atikah N; R.F. Sari; R.S. Lubis
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 2 (2021): Journal of Research in Mathematics Trends and Technology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i2.9118

Abstract

Employee performance appraisal is very necessary to know the skills or abilities of each employee. Employee performance appraisal carried out at the Human Resources Development Agency still require employee performance evaluations for the performance of each employee. The purpose of this study was to determine the performance of employee using the Analytic Network Process and Rating Scale methods, where the ANP was used to weight each criteria and sub-criteria with the result of the weighting of the criteria namely: service orientation (0,051197), Integrity (0,254363), commitment (0,150948), discipline (0,190137), cooperation (0,353354) and for the weight of each sub-criterion, being friendly (0,060724), completing work quickly and precisely (0,129413), working properly, honestly and regularly (0,080407), working well even though not supervised by the leadership (0,132196), have goog character (0,041760), have loyalty (0,175543), have responsibility (0,108780), do not delay work (0,069031), never go absent without clear reasons (0,107260), are able to work togather with colleagues (0,043688), like to help colleagues who are in trouble (0,014759), able to communicate well (0,036438). While using the Rating Scale methods has different values, employees with the highnest performance is Rosniari (4,762981) and lowest is Masdalifah (3,770376)
Computation Analysis of Flow in a Round Pipe with Navier-Stokes Equations Tulus Joseph Herianto Marpaung; Asima Manurung
Journal of Research in Mathematics Trends and Technology Vol. 4 No. 1 (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.v4i1.15827

Abstract

This research analyzes the flow in a round pipe using the Navier-Stokes equations with the aim of understanding the characteristics of flow and friction within the system. The Navier-Stokes equations are employed to describe the movement of fluid within the round pipe, taking into account the effects of viscosity and pressure on the fluid flow. Additionally, friction within the round pipe is analyzed as a consequence of the fluid flow, with the consideration of friction coefficients to depict the magnitude of frictional forces exerted on the pipe walls. Furthermore, the researchers demonstrate that friction coefficients increase with higher flow velocities and fluid viscosities. Simulation results indicate that laminar flow is the dominant condition within the round pipe under investigation. In laminar flow conditions, the boundary layers exhibit greater organization and the fluid flow is more stable. However, at higher flow velocities, a transition from laminar to turbulent flow can occur. The computational analysis presented in this study utilizes the Computational Fluid Dynamics (CFD) software COMSOL Multiphysics. This software employs robust numerical algorithms to efficiently solve the continuity, momentum, and Navier-Stokes equations. The program provides information regarding velocity profiles, pressure distributions, and other flow parameters along the round pipe. The simulation results are obtained for varying water velocities of 0.001 m/s, 0.01 m/s, 0.1 m/s, and 1 m/s. By integrating discretization methods, the continuity equation, momentum equation, Navier-Stokes equations in component form, and energy loss calculations, this study offers profound insights into flow within round pipes and its characteristics. This research provides valuable insights into flow in round pipes, the effects of friction, and the challenges in achieving convergence solutions at high water velocities.

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