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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Rangkiang Mathematics Journal Prosiding Seminar Nasional dan Call For Paper Kebidanan Universitas Ngudi Waluyo Mathematical Journal of Modelling and Forecasting
Helma
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Materials Science & Nanotechnology Mathematics Physics Other

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Journal : mathematical journal of modelling and forecasting

 1 
Analysis of Factors Influencing Non-Compliance with Traffic Regulations for Motorcycle Users of Mathematics Students UNP Indah Permata; Helma
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 2 (2023): December 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i2.12

Abstract

The number of violations that occurred in 2019–2022 on types of motorcycle vehicles concluded that motorcycle violations in Padang City experienced fluctuations. The number of violations is quite high for students. Based on this incident, this research aims to find out about the factor analysis model and what factors influence non-compliance with motorcycle traffic regulations. The data used is primary data obtained from giving questionnaires to UNP Mathematics student respondents, and factor analysis is used to analyze the data. According to the study's findings, the factors formed were as follows: factor 1 was wearing a national standard helmet, having a driver's license, having a vehicle registration, the vehicle meeting technical requirements based on the law, the driver meeting the requirements based on regulations, and factor 2 was obeying signal lights, obeying traffic signs, and understanding traffic rules.
Factors influencing the Poverty Depth Index in West Sumatra Province through Panel Data Regression Analysis Mutia Syifa; Helma
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 2 (2023): December 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i2.16

Abstract

The poverty depth index is one of the measures that can be used in measuring the poverty level in a region well. This is because the poverty depth index measures the depth of poverty by focusing on the expenditure gap of the poor against the poverty line. Based on BPS West Sumatra data for 2017-2022, the IKK which was initially at 1,00 rose to 1,04 in 2018, in 2019 it fell to 0,94, in 2020 it fell to 0,92, but in 2021 it rose to 1,04 and fell to 0,8 in 2022. The dynamics that occur in the IKK show that the government's efforts in dealing with poverty problems have not been optimal. Therefore, a study was conducted to determine the model and factors that affect the IKK in West Sumatra Province using panel data regression analysis. After the research was conducted, the best estimation model obtained was the Fixed Effect Model (FEM). The factors that affect IKK in 2017-2022 are average per capita expenditure and human development index.
Factors Affecting Economic Growth in West Sumatera Province Using Panel Data Regression Analysis Sherly Helma Putri; Helma
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 2 (2023): December 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i2.17

Abstract

Economic development is considered successful if the economic growth rate of its people reaches a high level. Indonesia has positive economic growth with economic growth rates above 5% in each quarter. However, the high economic growth of Indonesia does not mean that all regions have the same growth rate. Where the increase in the number of goods and services received or the added value of production factors is often referred to as economic growth. Regional economic growth in West Sumatera Province is known to tend to be negative. This study aims to obtain an overview of panel data regression models and factors that have an influence on economic growth in West Sumatera Province for the period 2018 to 2022. The best regression model obtained is the fixed effect model (FEM), where at a significant level of 5%, the factors that have an influence and positive relationship on economic growth are the human development index and government spending.
Co-Authors AA Sudharmawan, AA Agusti, Hafiz Almahfuz Amnah, Rose Asrizal Emiliannur Fitri, Mutiara Nurul Fitriani, Aice Bela Fitriya, Wahida Hidayati Indah Permata Latifah, Meilina Latifah Mutia Syifa Mutiya Zulfa Rohmini, Samsi Sherly Helma Putri Sofiyanti, Ida Zan, Aprina Maharani