THE DECISION OF CHOOSING A UNIVERSITY: THE IMPACT OF EDUCATION COSTS

A Student Decision on Choosing a University: Impact of Education Costs. This study aims to analyze the effect of the cost of education on students' decisions to continue their studies in tertiary institutions. This study uses a quantitative approach with an explanatory research type. The research sample consisted of 380 respondents and statistically processed with the simple linear regression method using the SPSS version 26.0 application. The results showed that the cost of education had an effect on students' decision to choose a university. These findings indicate that higher education institutions must take into account the tuition fees charged to students. This is related to the level of students' ability to complete their studies at a college. Several studies have shown that in general the cost of education is important for universities to attract and retain students who are studying.

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Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru)

Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) ◽

10.32672/jnkti.v3i3.2520 ◽

2020 ◽

Vol 3 (3) ◽

pp. 330-334

Author(s):

Novita Ria Lase ◽

Fristi Riandari

Keyword(s):

Linear Regression ◽

Regression Method ◽

Point Of View ◽

Computational Techniques ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Tuition Fees ◽

Use Of Data ◽

New Students ◽

New Student

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.

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Impacts of Environmental Certificate and Pollution Abatement Equipment on SMEs’ Performance: An Empirical Case in Vietnam

Sustainability ◽

10.3390/su13179705 ◽

2021 ◽

Vol 13 (17) ◽

pp. 9705

Author(s):

Jung-Fa Tsai ◽

Phi-Hung Nguyen ◽

Ming-Hua Lin ◽

Duy-Van Nguyen ◽

Hsu-Hao Lin ◽

...

Keyword(s):

Firm Performance ◽

Pollution Abatement ◽

Regression Method ◽

Training Dataset ◽

Linear Regression Method ◽

Environmentally Conscious ◽

Increase Productivity ◽

Corporate Social ◽

The Cost ◽

The Impact

Increasing global warming and intensity of disasters recently have made improving environmentally-conscious enterprises pivotal, as well as consumer demand for green products and the achievement of green strategies in some enterprises. This study explores the impact of environmental certificates and the cost of pollution abatement equipment on firm performance for small and medium-sized enterprises (SMEs). In this research, the linear regression method examines the effect of environmental-related certificates and technology on SMEs’ performance using Stata version 14.0 software. The training dataset comprises 3504 manufacturing SMEs in Vietnam during 2011–2015. The results highlight the positively considerable impacts of environmental-related certificates and the cost of pollution abatement equipment on SMEs’ performance. More importantly, the findings also highlight the excessive availability of pollution abatement equipment and whether it adversely impacts enterprises’ performance. The equipment cost positively impacts firm performance while, at an extreme value, the result shows a negative correlation. Furthermore, this study enriches the current literature on corporate social responsibility (CSR) and suggests SMEs approach and embrace more environmental-related certificates and technology to increase productivity.

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Impact of Delay on Cost Overrun in Construction Projects in Algeria

European Journal of Interdisciplinary Studies ◽

10.26417/ejis.v5i2.p25-30 ◽

2019 ◽

Vol 5 (2) ◽

pp. 25

Author(s):

Salhi Roumeissa

Keyword(s):

Linear Regression ◽

Construction Projects ◽

Project Success ◽

Regression Method ◽

Linear Regression Method ◽

Cost Overrun ◽

Simple Linear Regression ◽

Schedule Delay ◽

Proposed Model ◽

The Impact

Project success is the ultimate goal of the various project stackeholders (Salhi.R 2018). Asuccessful project means that the project is completed on time, within the agreed budget and according to the contract specifications. Delay is one of the most reccuring problems in construction project in Algeria, and it is considered as the main cause of cost overrun, time overrun, disput and claims.The objective of this paper is to mesure the impact of schedule delay on cost overrun, using the simple linear regression method and the coefficient of correlation. The proposed model can be used by practitioners as predictive mesure to address possible cost overrun.

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Impact of Delay on Cost Overrun in Construction Projects in Algeria

European Journal of Interdisciplinary Studies ◽

10.26417/ejis-2019.v5i2-281 ◽

2019 ◽

Vol 5 (2) ◽

pp. 25

Author(s):

Salhi Roumeissa

Keyword(s):

Linear Regression ◽

Construction Projects ◽

Project Success ◽

Regression Method ◽

Linear Regression Method ◽

Cost Overrun ◽

Simple Linear Regression ◽

Schedule Delay ◽

Proposed Model ◽

The Impact

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Pengaruh Reputasi Universitas Terhadap Keputusan Mahasiswa Memilih Studi di Universitas Islam Sumatera Utara

10.31227/osf.io/tz5yv ◽

2017 ◽

Author(s):

Dedy Ansari Harahap

Keyword(s):

Linear Regression ◽

Regression Method ◽

Quantitative Approach ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Prospective Students ◽

University Reputation ◽

Economics Faculty ◽

Research Type ◽

Good College

This study aims to analyze the influence of the university's reputation on the decision of students to choose a study at the faculty of economics of the Universitas Islam Sumatera Utara (UISU) Medan. This research uses quantitative approach with explanatory research type. The sample of the study amounted to 177 respondents and processed statistically with simple linear regression method. The results showed that the positive university reputation variable significantly influenced the decision of the students to choose the study. The findings indicate that the reputation, integrity and credibility of a good college will encourage the interest of prospective students to choose a study at a university as well as in the UISU economics faculty.

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Household Financial Situation during the COVID-19 Pandemic with Particular Emphasis on Savings—An Evidence from Poland Compared to Other CEE States

Risks ◽

10.3390/risks9090166 ◽

2021 ◽

Vol 9 (9) ◽

pp. 166

Author(s):

Grażyna Szustak ◽

Witold Gradoń ◽

Łukasz Szewczyk

Keyword(s):

Well Being ◽

Regression Method ◽

Linear Regression Method ◽

Household Savings ◽

Main Aspect ◽

Financial Decisions ◽

Econometric Methods ◽

Multiple Linear Regression Method ◽

The Impact ◽

Research Show

The aim of this article is to analyze and assess the impact of the pandemic on the finances of households in Poland, compared to other CEE countries (including Czech Republic, Slovakia and Hungary), with particular emphasis on changes in the level of their savings, which are considered to be the foundation for the development of the indicated research group. There is no doubt that the pandemic had an impact on the situation of households, which is mainly visible in the labor market (rising unemployment), and thus the question arises to what extent have the households’ approaches to financial decisions changed because of this situation? The propensity to save was taken into account as a main aspect of this problem, because it has, among others, a big impact on the financial well-being (in a broader sense). Using the multiple linear regression method, the factors that influence the level of household savings were determined. The results of the research show that these factors are different in the analyzed countries and have a different impact on the level of the explained variable, which is the gross saving rate. The research should also be treated as a preliminary one. It constitutes a contribution to in-depth research with the use of more sophisticated statistical and econometric methods, which will allow for the better assessment of the examined issue.

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Pengaruh Religiositas terhadap Keputusan Pembelian Pakaian Muslimah

AL-MUQAYYAD: Jurnal Ekonomi Syariah ◽

10.46963/jam.v4i1.369 ◽

2021 ◽

Vol 4 (1) ◽

pp. 14-24

Author(s):

Dessy Trimulyani ◽

Hendro Lisa ◽

Ferdinan Ferdinan

Keyword(s):

Linear Regression ◽

Quantitative Research ◽

Muslim Women ◽

Regression Method ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Method Analysis

Starting from the phenomenon occurred especially among Muslim women who were very concerned with fashion issues. Many of them did not know the function of the clothes they wear, and how Islam arranges the clothes. The purpose of this study was to determine the influence of religiosity on the decision of purchasing Muslim clothes in Tembilahan District. This was quantitative research by simple linear regression method analysis. The results showed that the T count was bigger than the T table. The T table was 12,763>2,024 and sig. 0.000 <0.05 means Ha was accepted, and Ho was rejected. The contribution of religiosity to the decision toward purchasing Muslim clothing by looking at the results of the R Square was 81.1%, while the remaining 18.9% influenced by other factors outside of the researcher's discussion.

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Pengaruh Dukungan Supervisor dan Pemberdayaan Terhadap Organizational Citizenship Behavior

Binus Business Review ◽

10.21512/bbr.v5i1.1205 ◽

2014 ◽

Vol 5 (1) ◽

pp. 158

Author(s):

Tinjung Desy Nursanti ◽

Aida Dwi Anissa

Keyword(s):

Linear Regression ◽

Organizational Citizenship ◽

Organizational Citizenship Behavior ◽

Primary Data ◽

Citizenship Behavior ◽

Survey Method ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Multiple Linear Regression Method ◽

The Impact

Study aims to determine and obtain a clear picture of supportive supervisor, empowerment, and organizational citizenship behavior; and to determine the impact of supportive supervisor and empowerment towards organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Research used explanatory survey method, while the sample was taken from employees of the company. Research instrument (questionnaires) was used as primary data collection to explain the causal relationship between supportive supervisor and empowerment on organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Analysis used simple linear regression and multiple linear regression method. Result of this study shows that there is significant influence between supportive supervisor and empowerment towards organizational citizenship behavior.

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Pengaruh Kompetensi dan Motivasi terhadap Kinerja Pegawai

Journal of Management and Bussines (JOMB) ◽

10.31539/jomb.v1i2.814 ◽

2019 ◽

Vol 1 (2) ◽

pp. 273-286

Author(s):

Surajiyo Surajiyo

Keyword(s):

Linear Regression ◽

Data Collection ◽

Employee Performance ◽

Regression Method ◽

Quantitative Approach ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Significance Level ◽

Competence Motivation

The purpose of this study was to determine the effect of competence and motivation on employee performance. This research uses a quantitative approach with a simple linear regression method. Data collection techniques consist of observation, questionnaire and interview. The results of the study, the Fcount obtained was 10.982> Ftable = 3.25 and the significance level simultaneously significance was 0,000 <(α) = 0.05 df = n - k = 40 -2 - 1 = 37 was 3.25. Conclusions, competence and motivation have a significant effect on the dependent variable, namely performance Keywords: Competence, Motivation, Performance

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Analisis Pengaruh Jumlah Penduduk terhadap Jumlah Kemiskinan Menggunakan Metode Regresi Linear di Kota Palembang

Jurnal Ilmiah Informatika Global ◽

10.36982/jig.v9i2.543 ◽

2018 ◽

Vol 9 (2) ◽

Author(s):

Nazori Suhandi ◽

Efri Ayu Kartika Putri ◽

Sari Agnisa

Keyword(s):

Population Level ◽

Negative Influence ◽

Variable Number ◽

Regression Method ◽

Poor People ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Accurate Calculation ◽

The Poor ◽

The City

AbstractThis paper aims to convey the development of the effect of the population on the number of poverty in the city of Palembang from 2010 to 2015.There is no accurate calculation made to determine the number of poor people in Indonesia, always with controversy because each calculation uses different criteria.This differentiation is based on its causing factors to allow specific alleviation policy implication. The cause of such poverty, in general, is that the poor people have no capacity and capability to access economic sources. This analysis is done using simple linear regression method, population level (X) and poverty (Y) in Palembang city year 2010 - 2015. From the data, it can be concluded that the variable of Population (X) has negative influence to the variable Number of Poverty (Y) in Palembang City. Simultaneously, the number of population has an effect on the amount of poverty in the city of Palembang by 0,398%, while -14,045% and the rest influenced by the variable outside of studied.Keyword : Poor people, Regression, Causes Of PovertyAbstrakJurnal ini bertujuan menggambarkan pengembangan pengaruh populasi pada jumlah kemiskinan di kota Palembang dari tahun 2010 sampai tahun 2015. Tidak ada penghitungan yang akurat yang telah dibuat untuk menentukan jumlah orang miskin di Indonesia, selalu muncul kontroversi karena setiap penghitungan memiliki kriteria tersendiri. Perbedaan ini didasarkan pada faktor penyebab yang berdampak pada implikasi politik. Penyebab kemisikinan, umumnya adalah bahwa orang-orang miskin tidak memiliki kapasitas untuk memasuki sumber ekonomi. Analisis dilakukan dengan menggunakan metode regresi linier sederhana, tingkat populasi (X) dan kemiskinan (Y) di kota Palembang tahun 2010-2015. Dari data disimpulkan bahwa variabel jumlah populasi (X) memiliki pengaruh negatif pada variabel jumlah kemiskinan di kota Palembang. Secara simultan, jumlah populasi memiliki pengaruh pada jumlah kemiskinan di kota Palembang yaitu 0,398%, sedangkan -14,045% dan sisanya dipengaruhi oleh variabel diluar studi ini.Kata kunci : Orang miskin, Regresi, Penyebab Kemiskinan

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