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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Mathematics Technology and Education
Marpaung, Rony Genevent
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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

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Finite Element Model of Rock Obstruction on Overtopping at the Coastline Marpaung, Rony Genevent; Tulus, Tulus; Mardiningsih, Mardiningsih
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12630

Abstract

Wave overtopping is a common phenomenon that occurs during extreme sea conditions, where water waves travel over the surface of an open structure towards the sea and pass over its crest. To prevent flooding and coastal erosion, rock structures are often constructed as wave barriers along the shore. These barriers serve as a solution to mitigate wave overtopping. One of the key factors influencing overtopping is the arrival of continuous and sufficiently high-water waves that can pass through the top of coastal defense structures. Several phase settlement methods have been developed and applied to analyze wave overtopping using the Navier-Stokes (NS) equation. By employing the finite element method, numerical solutions and simulations are sought by inputting specific parameter values. This process aims to validate the accuracy of the resulting mathematical model. To accomplish this, a program is developed based on the discretization of the model, enabling a system analysis approach. The obtained results exhibit minimal error values, thereby demonstrating optimal outcomes in terms of rock placement. The entire fluid mechanics system analysis is simulated using the COMSOL Multiphysics 5.6 program, which provides a comprehensive platform for studying and evaluating the performance of the wave barrier system
Analysis of the Effect of Population and Average Net Wage/Salary on the Number of Poverty in Medan Using Linear Regression Method Marpaung, TJ; Tarigan, E.D.; Marpaung, Rony Genevent; Marpaung, J.L.
Journal of Mathematics Technology and Education Vol. 2 No. 2 (2023): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v2i2.13587

Abstract

In this study, the total population along with the average net salary was selected for poverty. The data information used in this study is data derived from agencies. In obtaining the results of the analysis on the influence of variables, multiple linear regression was used. The interpretation of this study shows that there is a significant influence between population and average net salary on poverty. The larger the population and the smaller the average net wage/salary, the higher the poverty rate. It is hoped that this research will be able to show a framework of what factors influence poverty so that it can be used as a reference to overcome the problem of poverty in Indonesia, especially the city of Medan. This study does not use manual calculations, and aims to analyze the relationship between population (M1) and average wage / net salary (M2) with the amount of poverty (D). The equation D is 221105.0 - 0.0147 M1 + 0.0147 M2, with the value of the influence of M1 and M2 on D amounting to 0.341.
Double Exponential Smoothing Method to Forecast the Production of Tembakau in North Sumatra Marpaung, TJ; Siringoringo, YB; Marpaung, Rony Genevent; Marpaung, J.L.
Journal of Mathematics Technology and Education Vol. 2 No. 2 (2023): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v2i2.13588

Abstract

Forecasting is the process of using mathematical calculations and quantitative data from the past to predict situations that have not occurred or will occur in the future. Determine the strategy used in pursuing choices based on several things that have been done so that it is very feasible for planning. Brown's Double Exponential Smoothing, especially the smoothing approach with alpha values of 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9 will be used as a forecasting technique in this study. Using tobacco production data from 2012 to 2021, the forecasting results show that the best guess value achieves the smallest Mean Absolute Precentage Error (MAPE) of the nine alpha values used. with the parameter alpha = 0.2 produces the lowest error rate of 21.37 percent. The form of the forecasting equation is Fi+m = 1666.84892857549 + 86.604473843712 m. That is, the accuracy of forecasting the amount of tobacco production in the next ten years is 65.37 percent.
The Effect of Number of Population, Average Expenditure, Unemployment, and Number of Poor People in North Sumatra Province with Path Analysis Method Erwin; Balqis, Muthia Ferliani; Siregar, Rosman; Marpaung, Rony Genevent; Marpaung, J.L.
Journal of Mathematics Technology and Education Vol. 2 No. 2 (2023): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v2i2.13589

Abstract

Poverty is an economic problem so that a person experiences the inability to meet the necessities of life caused by the economy not meeting the average standard of living of society in general. This research is to find out how much influence it has on population, average public expenditure, unemployment, and the number of poor people in the province of North Sumatra. Since the Covid-19 pandemic, there has been an increase in the poverty rate in 2021-2022. The percentage of poor people in September 2022 was 9.57 percent, an increase of 0.03 percent from March 2022 and a decrease of 0.14 percent from September 2021. Many people are experiencing unemployment due to reduced job opportunities. This research was conducted using the path analysis method and SPSS version 22 software. This research used quantitative data obtained from data from the Central Bureau of Statistics. Data were tested using the Classical Assumption Test, Hypothesis Test, and Correlation Coefficient Test. The research results obtained have a direct influence on the Independent Variables and Dependent Variables namely; Total Population (X1) and Average Spending (X2) on Unemployment (Y) where there is a significant value less than 0.05, which means it has a significant effect. The results obtained in the analysis model equation Y = 0.385X1 + 0.117X2 + 0.233Z + 0.905.
Analysis of the Effect of District / City Minimum Wage and Labor Force Participation Rate on the Open Unemployment Rate of North Sumatra Province in 2021-2022 Erwin; Hasibuan, Citra Dewi; Marpaung, Rony Genevent; Marpaung, J.L.
Journal of Mathematics Technology and Education Vol. 2 No. 2 (2023): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v2i2.13590

Abstract

Open unemployment is still a major economic problem in North Sumatra Province. This study aims to analyze the effect of Regency / City Minimum Wage, Labor Force Participation Rate, and Gross Regional Domestic Product on the Open Unemployment Rate in North Sumatra Province in 2021-2022. The type of data used is secondary data obtained from the North Sumatra Province Statistics Agency. The results showed that there was a simultaneous significant influence between the three independent variables, namely district / city minimum wage, labor force participation rate, and gross regional domestic product on the dependent variable, namely the open unemployment rate ???? = 0.164????1 − 0.694????2 − 0.032???? + 0.424. The simultaneous effect is 57.6% and the remaining 42.4% is explained by other variables not included in the study.
Application of Pathway Analysis Factors Affecting the Human Development Index in North Sumatra in 2021-2022 Erwin; Balqis, Muthia Ferliani; Marpaung, Rony Genevent; Marpaung, J.L.
Journal of Mathematics Technology and Education Vol. 2 No. 2 (2023): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v2i2.13591

Abstract

The Human Development Index (IPM) measures human development achievements based on a number of basic quality of life components. As a measure of quality of life, HDI is built through a basic three-dimensional approach. These dimensions include a long and healthy life; knowledge, and a decent life. These three dimensions have a very broad meaning because they are related to many factors. To measure the health dimension, life expectancy at birth is used. Furthermore, to measure the dimensions of knowledge, a combination of literacy rate indicators and the average length of schooling is used. This study aims to determine the relationship or influence between variables on the human development index. These variables are the average length of schooling, life expectancy, and the percentage of poor people. This research uses survey data from BPS North Sumatra for the 2021-2022 period. Data processing uses path analysis with the help of SPSS version 23 software. The path equation obtained in this study is Y = 0.672X1 + 0.297X2 − 0.223Z + 0.081. The results showed that there was a significant influence between the average length of schooling, life expectancy, and the percentage of poor people on the human development index.
Penerapan Metode Monte Carlo dalam Memprediksi Suhu Daerah Perkotaan Marpaung, Tulus Joseph; Marpaung, Rony Genevent
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6693

Abstract

Changes in temperature patterns due to climate change are a global challenge that requires in-depth analysis, especially in tropical regions such as the city of Medan, Indonesia. This research aims to project future temperature patterns using the Monte Carlo simulation method, utilizing historical data on daily average temperatures from the Meteorology, Climatology and Geophysics Agency (BMKG). A probability-based Monte Carlo method is used to analyze the future temperature distribution, applying the normal distribution as the basic model. Parameters such as mean and standard deviation are calculated accurately, and thousands of iterations are performed to ensure stable and representative simulation results. The analysis process is carried out using Python and supporting libraries such as NumPy, SciPy, and Matplotlib, which provide flexibility and efficiency in environmental data processing. The results of this study show that the Monte Carlo method can produce future temperature distributions that reflect daily temperature variations as well as the probability of extreme events. These predictions provide important insights for various sectors, including health, energy and urban planning, in developing strategic plans to deal with the impacts of climate change. This research confirms that Monte Carlo simulation is an effective approach for analyzing climate data in tropical regions. Additionally, this research opens up opportunities for further development, such as integrating additional data and adapting the model to different environmental scenarios to improve prediction accuracy and relevance of results.
Co-Authors Erwin Hasibuan, Citra Dewi Mardiningsih Mardiningsih Marpaung, J.L. Marpaung, TJ Marpaung, Tulus Joseph Herianto Muthia Ferliani Balqis Rosman Siregar Siringoringo, YB Tarigan, E.D. Tulus Tulus