CRITICAL FACTORS AFFECTING THE UTILIZATION OF CLOUD COMPUTING

This research presets the critical factors that influence the use of cloud computing, in case studies of large and medium-sized enterprises in the metropolitan area of Monterrey. The critical factors are found, according to literature: dependency provider; ignorance of the location, where the information, service knowledge, knowledge of laws, service offered by suppliers, is stored; cost; and information security, describing the research and development, which are significant and demonstrative in its impact.We used Cronbach's alpha to check the validity of the measurement instrument and used a linear regression method to measure the significance of the variables. We also relied on some measuring instruments, such as Beta, R-squared, Standard Deviation, Anova, Tolerance, and Collinearity index to propose a model.

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ANALYSIS OF FACTORS AFFECTING THE PRICE FLUCTUATION OF CAYENNE PEPPER IN MALANG REGENCY

Agrisocionomics Jurnal Sosial Ekonomi Pertanian ◽

10.14710/agrisocionomics.v5i1.7123 ◽

2021 ◽

Vol 5 (1) ◽

pp. 19-26

Author(s):

Nurul Laili ◽

Sri Hindarti ◽

Dwi Susilowati

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Research Method ◽

Commodity Prices ◽

Secondary Data ◽

Regression Method ◽

Linear Regression Method ◽

Factors Affecting ◽

Independent Variables ◽

Multiple Linear Regression Method

This study aims to 1) Analyze the pattern of changes in commodity prices for spanish pepper in Malang District. 2) Analyzing the factors that influence fluctuations in the price of spanish pepper in Malang District. The research method used is quantitative method that uses secondary data in the form of time series obtained from several related agencies, namely the Central Statistics Agency of Malang District, Department of Industry and Trade, and Department of food crops, horticulture, and plantation in Malang District. Analysis of the data used is multiple linear regression with the dependent variable is the price at the consumer level from 2009-2018, while the independent variables use the data of the price of spanish pepper at the producer level, the amount of production, and the amount of consumption from 2009-2018. The study found that: 1) The development of the price of spanish pepper had a trend that tended to increase during the last 10 years. 2) From the results of data processing using multiple linear regression method with Eviews 9.0 application, it is found that the factor that significantly influences changes in the price of spanish pepper is the price at the producer level, while the amount of production of spanish pepper and the number of requests does not significantly affect the change in spanish pepper prices in Malang District.

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Determining the Factors Affecting the Market Clearing Price by Using Multiple Linear Regression Method

Alphanumeric Journal ◽

10.17093/alphanumeric.882847 ◽

2021 ◽

Author(s):

Veli Riza KALFA ◽

Burak ARSLAN ◽

İrfan ERTUĞRUL

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Regression Method ◽

Linear Regression Method ◽

Market Clearing ◽

Factors Affecting ◽

Multiple Linear Regression Method ◽

Market Clearing Price

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TINGKAT SUKU BUNGA DAN KREDIT MACET PENGARUHNYA TERHADAP PERMINTAAN KREDIT UMKM DI PASAMAN BARAT (STUDI KASUS KSU LKMA KAMPUNG SOLOK SAIYO NAGARI MUARA KIAWAI )

10.31227/osf.io/g5fwc ◽

2018 ◽

Author(s):

oktaviani ◽

Muhammad Rivandi

Keyword(s):

Interest Rate ◽

Linear Regression ◽

Interest Rates ◽

Multiple Linear Regression ◽

Secondary Data ◽

Regression Method ◽

Linear Regression Method ◽

Factors Affecting ◽

Multiple Linear Regression Method ◽

Main Factors

The main factors affecting demand for credit are high and fixed interest rates that make it difficult for members to pay their loans and result credit given by KSU LKMA Kampung Solok Saiyo to be stuck. The purpose of this research is to know the effect of interest rate and bad credit on request of credit umkm at KSU LKMA Kampung Solok Saiyo. This research was conducted at KSU LKMA Kampung Solok Saiyo Nagari Muara Kiawai Gunung Tuleh District Pasaman Barat Regency. The type of data used in this study is secondary data sourced from credit reports contained in KSU LKMA Kampung Solok Saiyo with the number of samples of forty-eight. This data is analyzed by multiple linear regression method. From the results of this study found that interest rates and bad loans have a negative and significant effect on the demand for credit umkm in PasamanBarat.

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Faktor Lingkungan Eksternal yang Menghambat Penggunaan E-Commerce pada UMKM Kerajinan Kabupaten Sleman

Jurnal Manajemen Bisnis dan Kewirausahaan ◽

10.24912/jmbk.v5i5.10643 ◽

2021 ◽

Vol 5 (5) ◽

pp. 552

Author(s):

Nurkhafidin Nurkhafidin ◽

Syifa Fitriani

Keyword(s):

Environmental Factors ◽

Linear Regression ◽

Data Collection ◽

Regional Economy ◽

Regression Method ◽

Government Policies ◽

Linear Regression Method ◽

Factors Affecting ◽

Technological Factors ◽

Multiple Linear Regression Method

During the last 10 years, MSMEs have been the engine of the regional economy with a type of business that has reached 92% of all types of businesses in DIY. According to DINKOPUKM Sleman, it is known that the number of MSMEs in the handicraft sector reached 2964, which was then interviewed by 30 MSMEs in Sleman Regency, there were 17% of business actors who had used e-commerce and still around 83% had not used e-commerce as a medium of buying and selling. The purpose of this study is to determine the influence of external environmental factors affecting the use of e-Commerce barriers to craft MSMEs in Sleman Regency. Data collection was carried out by observing, interviewing and distributing questionnaires to 120 owners of handicraft MSMEs in Sleman Regency who had not used e-Commerce. This study uses the Multiple Linear Regression method. Based on the results of data research, the factors that influence the barriers to the use of e-Commerce in handicraft MSMEs in Sleman Regency, seen from the coefficient, are the consumer factor of 3,.469. Technological factors, competitors and government policies do not affect barriers to e-Commerce use. Selama 10 tahun belakangan UMKM merupakan mesin penggerak ekonomi daerah dengan jenis usaha hingga mencapai 92% dari seluruh jenis usaha yang berada di DIY. Menurut DINKOPUKM Sleman diketahui jumlah UMKM pada bidang kerajinan mencapai 2964 yang selanjutnya diwawancara 30 UMKM di Kabupaten Sleman terdapat 17% pelaku usaha sudah memanfaatkan e-commerce dan masih sekitar 83% belum memanfaatkan e-commerce sebagai media jual beli. Tujuan dari penelitian ini yaitu mengetahui pengaruh faktor-faktor lingkungan eksternal yang menghambat penggunaan e-Commerce pada UMKM kerajinan di Kabupaten Sleman.Pengumpulan data dilakukan dengan cara observasi, wawancara serta menyebarkan kuesioner kepada 120 pemilik UMKM Kerajinan di Kabupaten Sleman yang belum menggunakan e-commerce. Penelitian ini menggunakan metode Regresi Linier Berganda. Berdasarkan hasil penelitian, faktor konsumen berpengaruh terhadap hambatan penggunaan e-commerce dilihat dari nilai koefisien sebesar 3,469. Faktor teknologi, faktor pesaing dan faktor kebijakan pemerintah tidak berpengaruh menghambat penggunaan e-commerce di UMKM Kerajian Kabupaten Sleman.

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Faktor Penentu Pengungkapan Informasi Laporan Keuangan melalui Laman Internet: Studi Empiris pada Perusahaan yang Terdaftar di Bursa Efek Indonesia

Binus Business Review ◽

10.21512/bbr.v3i1.1317 ◽

2012 ◽

Vol 3 (1) ◽

pp. 286

Author(s):

Gatot Soepriyanto ◽

Dustinova Dustinova

Keyword(s):

Linear Regression ◽

Financial Reporting ◽

Financial Statements ◽

Regression Method ◽

Financial Statement ◽

The Internet ◽

Linear Regression Method ◽

Testing Hypotheses ◽

Factors Affecting ◽

Independent Variables

The study aims to investigate the factors affecting companies to disclose financial statement information through internet (internet financial reporting). Assessment of the disclosure uses 29 criteria as used by Abdelsalam et al (2007). The method of testing hypotheses in this study is the linear regression method by comparing the extensive disclosure of financial statements on the internet as the dependent variable and type of industry, firm size, profitability, leverage levels and types of auditors as independent variables. Through the observation 69 listed companies in the KOMPAS100 directory, the study concluded that 59.17% of companies meet the criteria for such disclosure made by Abdelsalam et al (2007). Consistent with some previous studies, factors that play an important role on the level of disclosure is the company's size and corporate profitabilty.

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Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i6.255 ◽

2018 ◽

Vol 6 (6) ◽

pp. 119

Author(s):

Mohammad Shohidul Islam ◽

Sultana Easmin Siddika ◽

S M Injamamul Haque Masum

Keyword(s):

Linear Regression ◽

Correlation Coefficients ◽

Rain Gauge ◽

Regression Method ◽

Linear Regression Method ◽

Climate Data ◽

Rainfall Forecasting ◽

Statistical Parameters ◽

Time Duration ◽

Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

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An alternative model of the vibronic coupling in octahedral complexes

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19881134 ◽

1988 ◽

Vol 53 (6) ◽

pp. 1134-1140

Author(s):

Martin Breza ◽

Peter Pelikán

Keyword(s):

Linear Regression ◽

Alternative Model ◽

Potential Surface ◽

Analytical Formula ◽

Coupling Model ◽

Regression Method ◽

Vibronic Coupling ◽

Linear Regression Method ◽

Active Systems ◽

Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

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The Accuracy Assessment of Weapon System Using Grey Linear Regression Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.268-270.1809 ◽

2012 ◽

Vol 268-270 ◽

pp. 1809-1813

Author(s):

Dai Yu Zhang ◽

Bao Wei Song ◽

Zhou Quan Zhu

Keyword(s):

Linear Regression ◽

Fuzzy Theory ◽

Accuracy Assessment ◽

Regression Method ◽

Small Sample ◽

Easy Access ◽

Linear Regression Method ◽

Grey Theory ◽

Weapon System ◽

Complex Engineering

The accuracy assessment of weapon system is always a complex engineering. How to make the most of the information given in only a few tests and obtain reasonable estimate is always a problem. Based on the fuzzy theory and grey theory, a grey linear regression method is presented. From the numerical example, we can see that this method provides an easy access to deal with data in small sample case and may have potential use in the analysis of weapon performance.

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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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