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All Journal Mathematics Research and Education Journal Rangkiang Mathematics Journal Journal of Technology Informatics and Engineering
yessy yusnita
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Journal : Rangkiang Mathematics Journal

 1 
Mode Selection Model Based on Travel Time and Price of Goods with Regression Analysis Model Yessy Yusnita; Lita Lovia
Rangkiang Mathematics Journal Vol. 3 No. 1 (2024): Rangkiang Mathematics Journal
Publisher : Department of Mathematics, Universitas Negeri Padang (UNP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rmj.v3i1.50

Abstract

Padang City Market is one of the shopping centres in Padang City, which is located in the West Padang District. The shopping centre presents a place for people to buy kitchen supplies or basic daily needs. This makes the area quite attractive for community travel. This research was conducted on 400 respondents who visited Padang City Market. In this study, the choice of mode is represented by the Y variable and is categorized into private vehicles, public transportation, rental vehicles, walking, and others. The travel time variable represents X1. The variable price of goods represents X2. This study aims to assess the level of correlation between the choice of mode (Y) on the variable travel time (X1) and the variable price of goods (X2). Furthermore, the mode selection (Y) was modeled based on the variables X1 and X2 using linear regression analysis with SPSS tools. The results of the analysis show a strong relationship between the Y variable and the X1 and X2 variables. The best linear regression model produced is Y = 0,010 + 0,76X1 + 0,029X2 with a value of R = 0,437. This means that the closer the travel time is and the lower the price of goods, the more the intensity of motorcycle mode selection to Pasar Raya Padang increases.
Linear Regression to Analyze Temperature and Air Humidity on Rainfall: A Case Study at Padang Panjang Geophysics Station (2020-2023) Lovia, Lita; Yessy Yusnita; Alona Dwinata
Rangkiang Mathematics Journal Vol. 3 No. 2 (2024): Rangkiang Mathematics Journal
Publisher : Department of Mathematics, Universitas Negeri Padang (UNP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rmj.v3i2.60

Abstract

This study aims to analyze the correlation between temperature, humidity, and Rainfall at the Geophysics Station of Padang Panjang from 2020 to 2023. Monthly data from the Meteorology, Climatology, and Geophysics Agency (BMKG) was used to evaluate the relationship between these meteorological variables. Statistical analysis, including correlation and multiple linear regression, was conducted using SPSS version 22. The results show a significant negative correlation between Rainfall and temperature, indicating that temperature tends to decrease as rainfall increases. In contrast, a positive correlation between Rainfall and humidity suggests that higher humidity levels are associated with increased Rainfall. However, the regression analysis reveals that temperature and moisture explain only 16.76% of the variation in Rainfall, indicating the potential influence of other factors not included in the model.
Co-Authors Alfad Azhar Alona Dwinata Angelalia Roza Lita Lovia Riska Novia Sari