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. 

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

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.

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 Pengaruh Pendapatan Pegadaian, Tingkat NPL, Tingkat Inflasi dan Harga Emas Tehadap Penyaluran Pembiayaan Gadai Rahn Pada Pegadaian Syariah

2020 ◽  
Vol 1 (1) ◽  
pp. 246-257
Author(s):  
Mochamad Iqbal Aulia ◽  
Iwan Setiawan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Inflation Rate ◽  
Regression Method ◽  
Influential Factors ◽  
Gold Price ◽  
Linear Regression Method ◽  
External Influences ◽  
Multiple Linear Regression Method

There are internal and external influences that affect the distribution of financing in sharia pawnshops and in this study there is a phenomenon that is an increase in the distribution of rahn mortgage financing followed by a decrease in income, an increase in the level of NPL, an increase in the inflation rate, and a decline in gold prices. This study aims to analyze factors that are thought to have an influence on rahn financing, namely mortgage income, NPL level, inflation rate, and gold price. This research method is a multiple linear regression method and a classic assumption test. The results of this study are not the influence of pawnshop income on the distribution of rahn pawn financing and significantly influence the level of NPL, inflation rate, and the price of gold on the distribution of mortgage financing rahn. So that in the future can be a reference consideration in the distribution of rahn financing on sharia pawnshops based on these influential factors.

scholarly journals Pengaruh Pendapatan Pegadaian, Tingkat NPL, Tingkat Inflasi dan Harga Emas Tehadap Penyaluran Pembiayaan Gadai Rahn Pada Pegadaian Syariah

2020 ◽  
Vol 1 (1) ◽  
pp. 246-257
Author(s):  
Mochamad Iqbal Aulia ◽  
Iwan Setiawan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Inflation Rate ◽  
Regression Method ◽  
Influential Factors ◽  
Gold Price ◽  
Linear Regression Method ◽  
External Influences ◽  
Multiple Linear Regression Method

There are internal and external influences that affect the distribution of financing in sharia pawnshops and in this study there is a phenomenon that is an increase in the distribution of rahn mortgage financing followed by a decrease in income, an increase in the level of NPL, an increase in the inflation rate, and a decline in gold prices. This study aims to analyze factors that are thought to have an influence on rahn financing, namely mortgage income, NPL level, inflation rate, and gold price. This research method is a multiple linear regression method and a classic assumption test. The results of this study are not the influence of pawnshop income on the distribution of rahn pawn financing and significantly influence the level of NPL, inflation rate, and the price of gold on the distribution of mortgage financing rahn. So that in the future can be a reference consideration in the distribution of rahn financing on sharia pawnshops based on these influential factors.

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 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.

An application of QSRR approach and multiple linear regression method for lipophilicity assessment of flavonoids

2019 ◽  
Vol 164 ◽  
pp. 681-689 ◽  
Author(s):  
Mariusz Zapadka ◽  
Mateusz Kaczmarek ◽  
Bogumiła Kupcewicz ◽  
Przemysław Dekowski ◽  
Agata Walkowiak ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method

scholarly journals Accident Prediction Model at Unsignalized Intersection Using Multiple Linear Regression Method

2017 ◽  
Vol 1 (2) ◽  
pp. 379-389
Author(s):  
N. K. Oghoyafedo ◽  
J. O. Ehiorobo ◽  
Ebuka Nwankwo
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Design Standards ◽  
Accident Prediction ◽  
Geometric Characteristics ◽  
Unsignalized Intersections ◽  
Multiple Linear Regression Method

The issue of road accidents is an increasing problem in developing countries. This could be due to increasing road traffic/vehicle occupancy, geometric characteristics and road way condition. The factors influencing accidents occurrence are to be analysed for remedies. The purpose of this research is to develop an accident prediction model as a measure for future study, aid planning phase preceding the designed intervention, enhance the production of updated design standards to enable practitioners design unsignalized intersection for optimal safety, reduce the number of accidents at unsignalized intersections. Five intersections were selected randomly within Benin City and traffic count carried out at these intersections as well as geometric characteristics and roadway conditions. The prediction model was developed using multiple linear regression method and the standard error of estimate was computed to show how close the observed value is to the regression line. The model was validated using coefficient of multiple determination. The establishment of the relationship between accidents and traffic flow site characteristics on the other hand would enable improvement to be more realistically accessed. This study will also enhance the production of updated design standards to enable practitioners design unsignalized intersection for optimal safety, reduce the number of accidents at unsignalized intersections.

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