scholarly journals Probable Values of Current Solar Cycle Peak

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
V. M. Silbergleit
Keyword(s):  
Solar Cycle ◽  
Regression Method ◽  
Quantitative Prediction ◽  
Linear Regression Method ◽  
Solar Cycles ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
Current Cycle ◽  
Cycle 24 ◽  
Additional Support

An analysis of multiple linear regression method applied to solar cycles 4 to 23 using lagged values of smoothed monthly mean sunspot numbers as independent variables is presented. According to that, the amplitude of current solar cycle 24 is estimated providing a quantitative prediction result. Our adjustment shows that the current cycle would have a sunspot peak less than the biggest one observed during the cycle 19 giving an additional support to the declination in solar activity which is currently happening.

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

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. 

KEPUTUSAN PEMBELIAN DITINJAU DARI KUALITAS PRODUK, CITRA MEREK DAN FASILITAS PADA ABATA DONUT’S SURAKARTA

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Sandra Amelinda Kundari
Keyword(s):  
Linear Regression ◽  
Product Quality ◽  
Brand Image ◽  
Regression Method ◽  
Purchase Decision ◽  
Linear Regression Method ◽  
Purchasing Decisions ◽  
Independent Variables ◽  
Test Product ◽  
Multiple Linear Regression Method

Competition in the culinary business is currently required for business actors to have a strategy that is able to attract and retain consumers for the sustainability of their company. This study aims to test product quality, brand image and facilities simultaneously influence Abata Donut's purchasing decisions. The sample research sample is 100 consumers accidental sampling with multiple linear regression method. The results of the research on product quality, brand image and facilities simultaneously and partially have a significant effect on Abata Donut's purchasing decisions. The contribution of the three independent variables can explain the purchase decision by 42.9% and the rest is influenced by other variables. Keywords: product quality; brand image; facilities; customer satisfaction

scholarly journals Super-active regions in solar cycle 24

2015 ◽  
Vol 11 (S320) ◽  
pp. 309-314 ◽  
Author(s):  
Anqin Chen ◽  
Jingxiu Wang
Keyword(s):  
Solar Cycle ◽  
Active Regions ◽  
Total Solar Irradiance ◽  
Flare Activity ◽  
Solar Cycles ◽  
Solar Cycle 24 ◽  
Satisfactory Account ◽  
Current Cycle ◽  
Flare Index ◽  
Cycle 24

AbstractComparing with solar cycles 21-23, the level of solar activity in the current cycle is very low. So far, there have been only five SARs and 45 X class flares. The monthly smoothed total solar irradiance decreased sharply by 0.09% from the maximum of cycle 23 to the minima between cycles 23 and 24. In this contribution, we present new studies on SARs in Cycle 24. The SARs in the current cycle have relatively smaller flare index (Iflare) and composite vector field index (Icom) comparing with the SARs in cycles 22 and 23. There is a clearly linear relationship between Iflare and Icom. The emphasis of this contribution is put on the similarity and different behaviors of vector magnetic fields of the SARs in the current solar cycle and the previous ones. We try to get a satisfactory account for the general characteristics and relatively lower level of solar flare activity in Cycle 24.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI EKSPOR KOMIDITI NON MIGAS DI INDONESIA TAHUN 1985-2017

2019 ◽  
Vol 2 (3) ◽  
pp. 128
Author(s):  
Rauzatul Ulfa ◽  
Devi Andriyani
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Oil And Gas ◽  
Secondary Data ◽  
Regression Method ◽  
Linear Regression Method ◽  
Factors Affecting ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
The Relationship

This study aims to analyze the Factors Affecting Non-Oil and Gas Commodity Exports in Indonesia in 1985-2017. The data used in this study are secondary data obtained from www.bps.go.id. The method used to analyze the relationship between the independent variables and the dependent variable is the multiple linear regression method. The results of the study partially showed that economic growth had a positive and significant effect on the exports of non-oil and gas commodities in Indonesia, the exchange rate and inflation did not affect the exports of non-oil and gas commodities in Indonesia. Simultaneously, the rate of economic growth and inflation had a positive and significant effect on non-oil and gas commodity exports in Indonesia.

scholarly journals Non-employee individual taxpayer compliance

2018 ◽  
Vol 3 (1) ◽  
pp. 112-122
Author(s):  
Aqmarina Vaharani Paramaduhita ◽  
Elia Mustikasari
Keyword(s):  
Law Enforcement ◽  
Linear Regression ◽  
Design Methodology ◽  
Regression Method ◽  
Primary Data ◽  
Linear Regression Method ◽  
Content Type ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
Positive Effect

Purpose The purpose of this paper is to determine what factors may affect taxpayer (TP) compliance. Design/methodology/approach This research uses five independent variables such as income, TP’s perception on tax penalties, law and enforcement, fair tax treatment and the use of tax money in a transparent and accountable way. The dependent variable is the compliance of individual TPs non-employees. The data used are primary data obtained from questionnaires on KPP Surabaya Rungkut and processed using a multiple linear regression method with SPSS 21.0 Software for Windows. Findings The results show that partially income does not affect the compliance of individual TP non-employees; however, four other independent variables on the TP’s perception of penalties, law enforcement, tax treatment and the use of tax money simultaneously had a positive effect. Originality/value All independent variables had a positive effect on compliance by individual TP non-employees on KPP Surabaya Rungkut.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU KONSUMEN DALAM PEMBELIAN PRODUK MIE INSTAN DI KOTA MALANG

IQTISHODUNA ◽  
2011 ◽  
Author(s):  
Nur Ida Iriani
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Individual Factors ◽  
Linear Regression Method ◽  
Dominant Effect ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
Educational Factors ◽  
Instant Noodle

The objectives of the research are to know the concurrent effects of educational factors of consumers along with the price, quality, distribution, and promotion of towards the consumers' behavior in purchasing instant noodle, and to identify what factors have a dominant effect on the consumers' behavior in purchasing instant noodle in Malang. After an examination of 200 respondents by means of multiple linear regression method, the study found that: (1) F count value is 34.677, meaning that it is larger than F table (2.14). This indicates that there are significant concurrent effects of educational factors of consumers along with the price, quality, distribution, and promotion of instant noodle towards the consumers' behavior in purchasing instant noodle in Malang. Thus, the first hypothesis is accepted. (2) Among the independent variables that were examined, price has a dominant and significant effect on consumers' decision in purchasing instant noodle. Thus, the second hypothesis is accepted. (3) Viewed from the effects of individual factors on consumers' behavior in purchasing instant noodle, then: (a) Price has a significant effect of 12.15% on the purchase of instant noodle. (b) Education and income have a significant effect on the purchase of instant noodle. (c) Quality, distribution, and promotion have a significant but little effect on the purchase of instant noodle.

scholarly journals KOMPETENSI, BUDAYA ORGANISASI DAN DISIPLIN KERJA TERHADAP PRODUKTIVITAS TENAGA KERJA OPERASIONAL BAGIAN MEKANISASI (Studi Pada PT Senang Kharisma Text 2 Di Sukoharjo)

2020 ◽  
Vol 7 (2) ◽  
pp. 48-52
Author(s):  
Reksi Pradikta Ade
Keyword(s):  
Organizational Culture ◽  
Linear Regression ◽  
Global Market ◽  
Regression Method ◽  
The Other ◽  
Linear Regression Method ◽  
Market Demand ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
Market Needs

Competition in the global market is so tight, companies are trying to meet market demand. To meet the huge market needs, companies are required to meet the increasing market demand. Large demand will be followed by large quantities of production supported by maintenance of tools and production machinery. The study was conducted to examine the effect of competencies, organizational culture and work discipline on the productivity of the operational workforce in the mechanization section (study on pt. Senang kharisma text 2 in sukoharjo). 50 sample research samples. multiple linear regression method. The results of competency research, organizational culture and work discipline simultaneously have a significant effect on the productivity of the operational workforce in the mechanization section and in terms of competency, organizational culture and work discipline each have a positive and significant effect on the productivity of the operational workforce in the mechanization section. the productivity of the operational workforce in the mechanization section can be explained by three independent variables at 54.4% and the other 45.6 influenced by other variables. Keywords: competence, organizational culture and work discipline

scholarly journals Aplikasi Regresi Linier Berganda Pada Hubungan Kepadatan Hunian Dan Perilaku Menguras Bak Mandi Dengan Kejadian Penyakit Malaria Di Indonesia

2017 ◽  
Vol 4 (2) ◽  
pp. 34
Author(s):  
Endang Yuswatiningsih
Keyword(s):  
Linear Regression ◽  
Error Variance ◽  
Variable Density ◽  
Regression Method ◽  
Linear Regression Method ◽  
Test Results ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
The Relationship ◽  
Distribution Error

The purpose of this research is to modelize the relationship between density residential and the behavior of tub drain with the incidence of malaria in Indonesia. This research used multiple linear regression method with 1 dependent variable and 2 independent variables. The assumption multiple linier regression is an error followed a normal distribution, error variance is homoskedastisitas, no autocorrelation problem and there was no problem of multicollinearity between independent variables. The result showed that all assumptions of multiple linier regression were fulfilled. Overall test results by using F statistic was obtained value of p = 0,001 < 0,05 (alpha) it meant that at least one variable density residential or behavior of tub drain which had a significant effect on the incidence of malaria. The test results partly by using t statistics was obtained value of p variable density residential was 0,001 ; 0,05 which meant that density residential had effect on the incidence of malaria and value of p for the behavior of tub drain variable was 0,980 ; 0,05 which meant that the behavior tub drain had no effect on the incidence of malaria; Keywords : multiple linier regression, density residential, behavior, malaria

PENGARUH KERAKTERISTIK PERUSAHAAN TERHADAP STRUKTUR MODAL: STUDI EMPIRIS DI BURSA EFEK INDONESIA

2012 ◽  
Vol 8 (2) ◽  
pp. 113
Author(s):  
Jaladri Angleng Windraesti
Keyword(s):  
Capital Structure ◽  
Positive Impact ◽  
Stock Exchange ◽  
Regression Method ◽  
Linear Regression Method ◽  
Firm Characteristics ◽  
Firm Age ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
Sample Data

The purpose of this study is to examine the influence of firm characteristics, i.e. dividend, growth sales, asset tangibility, earning volatility, and firm age on leverage as a proxy for capital structure. Samples are selected from manufacturing campanies listed on Indonesian Stock Exchange for the periode 2008-2010. Purposive sampling is used to choose the sample and 95 companies are found to be sample. Data is analyzed with test of classic assumption and examination of hypothesis with multiple linear regression method. The result shows that among five independent variables, dividend, earning volatility, and firm age are insignificant on leverage, while growth sales and asset tangibility have a positive impact towards leverage. Keywords: firm characteristics, capital structure

scholarly journals PENGARUH HARGA, KUALITAS PRODUK, DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN KECAP MANIS MEREK BANGO

2019 ◽  
Vol 13 (2) ◽  
pp. 51-61
Author(s):  
Irvan Stanlie
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Brand Image ◽  
Regression Method ◽  
T Test ◽  
Coefficient Of Determination ◽  
Linear Regression Method ◽  
Independent Variables ◽  
Multiple Linear Regression Method

From the analysis using multiple linear regression method, the obtained results thatvariable of price has a significant impact on buying decision with result t-test (partial) obtained tvalue > t table (3.693 >1.993) with significant obtained about 0.000 < 0.05 then Ho rejected and Haaccepted. Variable of product quality has a significant impact on buying decision with result t-test(partial) obtained t value > t table (2.787 >1.993) with significant value obtained about 0.007 < 0.05then Ho rejected and Ha accepted. Variable of brand image has a significant impact on buyingdecision with result t-test (partial) obtained t value > t table (2.289 >1.993) with significant valueobtained about 0.025 < 0.05, then Ho rejected and Ha accepted. Variable of price, product quality,and brand image that simultaneous has a significant impact on buying decision with result F-test(simultaneous) obtained F value > F table (17.126 > 2.730) with significant value obtained about0.000 < 0.05 then Ho rejected and Ha accepted. Dimensions Coefficient of determination about0.389 or 38.9% which means independent variables consisting of price, product quality, and brandimage has a contribution obtained 38.9% toward buying decision, while the remaining (100% -38.9% = 61.1%) was influenced by factors other factors that are not discussed in this study.

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