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Journal of Mathematics Technology and Education
Published by TALENTA PUBLISHER
ISSN : 28300394     EISSN : -     DOI : -
Core Subject : Economy, Science, Education, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation
ournal of Mathematics Technology and Education (JoMTE) is a peer-reviewed four times a year journal (March, June, September, and December) published by TALENTA Publisher and organized by Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara (USU) as an open access journal. It welcomes full research articles in the field of Mathematics and Applied Mathematics related to Mathematics Technology and Educational from the following subject area: Analytics, Operation Research, Statistics, Algebra, Differential Equations, Control Theory, Dynamics System, Mathematics Finance, Graph Theory, Combinatorial, and Mathematics Education.
Arjuna Subject : Matematika - Matematika Terapan
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education" : 5 Documents clear
Implementation of Autoregresssive Integrated Moving Average (ARIMA) on Forecasting the Number of Positive Cases of Covid-19 in North Sumatra on September 2021: Implementasi Autoregresssive Integrated Moving Average (ARIMA) Pada Peramalan Jumlah Kasus Positif Covid-19 Sumatera Utara Pada September 2021 Laia, Herlina Fransiska; Zahedi
Journal of Mathematics Technology and Education Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v1i3.8820

Abstract

North Sumatra is one of the provinces in Indonesia with a high number of positive cases of Covid-19 so that North Sumatra has been in the red and yellow zone for several months. The increasing number of positive cases can have an impact on various aspects of people's lives. To do optimal mitigation, forecasting is necessary, which is a technique to estimate a value in the future by paying attention to past data and current data. One method that can be used is the ARIMA method. The data used is daily data from May to August 2021 obtained from the official website of the covid19.go.id. The ARIMA model obtained from this study is the ARIMA(1,1,0) model with MAE, MAPE and MSE values of 453,175203, 3,312754324, and 6161032,938, respectively. Forecast results for September show a daily increase so it is expected that the government will make efforts to prevent this.
Application of Fuzzy Service Quality Method in Student Satisfaction Analysis of School Service Quality at SMAN 1 Simanindo, Samosir Regency: Penerapan Metode Fuzzy Service Quality Dalam Analisis Kepuasan Siswa Terhadap Kualitas Pelayanan Sekolah SMAN 1 Simanindo Kabupaten Samosir Siahaan, Irfan Efendi; Marbun, James Piter
Journal of Mathematics Technology and Education Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v1i3.8968

Abstract

To improve the quality of service, it is necessary to know the extent to which thelevel of consumer assessment of service quality, whether the service received is in accordancewith consumer expectations or not. This research was conducted to determine student satisfaction with the service quality of SMAN 1 Simanindo School. The method used in this studyis the Fuzzy Service Quality method which aims to determine the gap that occurs between theservices received and student expectations. The results of data processing indicate that theattribute that is the main concern to be prioritized by the school so that improvements can bemade is the completeness of extracurricular support with a gap (-15.370). Based on the valueof the gap per dimension, the dimension that has the largest gap value is the dimension thatneeds to be prioritized by the school for improvement. The dimension that has the largest gapvalue is the physical dimension (tangiable) with a gap value of -12.98. Based on the Cartesiandiagram, the attributes that require priority treatment from the school are the completeness ofbooks and reference sources in the library and the school’s ability to produce quality alumni.The attributes of the question are located in quadrant I. Based on the Fuzzy Service Qualityanalysis, the overall attributes have a negative gap value. This shows that the quality of service provided by the school is unsatisfactory and still in dire need of improvement.
Parameter Estimation of GARCH Model with Bootstrap Approximation: Penaksiran Paramater Model GARCH Menggunakan Pendekatan Bootstrap Hutasoit, Anggiarmi; Sutarman
Journal of Mathematics Technology and Education Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v1i3.9261

Abstract

This study aims to estimate the parameters of the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model using a bootstrap approach. In the heteroscedasticity data model, it is determined how much the residual value of the sample used is. The bootstrap approach is a non-parametric and resampling technique used to estimate the parameter. From the sample data implemented, the residual estimation using the Maximum Likelihood Estimation method is - 0.065851304. Furthermore, the residual estimation value using the bootstrap approach is -1.769129241. Thus, the use of the bootstrap approach in the GARCH model results in a smaller residual value than MLE.
Fixed Point of Contractive Mappings in Cone Metric Space: Titik Tetap dari Fungsi Kontraktif pada Ruang Metrik Cone Sitorus, Clara Magdalena; Herawati, Elvina
Journal of Mathematics Technology and Education Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v1i3.9766

Abstract

The concept of a fixed point of a function is closely related to the abstract space of the function it is in, one of which is the cone metric space which is a generalization of the metric space and which was first introduced by Zhang and Huang in 2007. The cone metric space is any non-empty set that with cone metric function. The cone metric function has the domain of any non-empty set and has the codomain of an ordered Banach space. The purpose of this study is to recognize the concept of the cone metric space and its relation to the metric space, as well as to examine the fixed point theorem on the cone metric space.
Implementation Of Economic Production Quantity (EPQ) Method in Controlling Brick Production at UD SM Edi- Mardiana Serdang Bedagai Rosmaida Zendrato; Manurung, Asima
Journal of Mathematics Technology and Education Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v1i3.9820

Abstract

achieving its goals, the company will face certain obstacles so that the companymust have good management. Because without good management the company will experiencea shortage of production (shortage) or excess production (over stock) which results inlosses for the company. UD. SM Edi Mardiana Serdang Bedagai is a business that producesbricks which is experiencing problems in the form of excess production inventory. Therefore,a policy is needed to control the amount of production by adjusting consumer needs so as notto cause losses for the company. One method that can be used is the Economic ProductionQuantity (EPQ) method which can determine the optimal production level, the optimal timeinterval to minimize inventory costs. From the results of calculations using the EPQ method,the optimal level of brick production for each production period is 4.326.589.75 seeds withan interval of 6,79 months and the total cost of procuring production with the EPQ method isRp313.532.065,9

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