scholarly journals Analysis of Influencing Factors and Volatility of Broiler Meat Prices in Pasuruan Regency, East Java Province

2020 ◽  
Vol 44 (4) ◽  
Author(s):  
Hariadi Subagja ◽  
Durrotun Nikmah
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Analytical Method ◽  
Price Volatility ◽  
Secondary Data ◽  
Broiler Meat ◽  
Meat Price ◽  
Beef Prices

The research was aimed to analyze of broiler meat price fluctuation, identify the factors competitor foodstuffs price that influence of broiler meat price, and identify alternative foodstuffs of broiler meat at consumer level in Pasuruan. The determination of location was did deliberately with consideration that in 2013, the production of broiler meat in Pasuruan was fourth highest production after Malang, Sidoarjo and Jombang , it was 8,842 million kg. This research was used secondary data from January 2010 until November 2015. The analytical method used is the price volatilitass analysis and multiple linear regression. The results showed that the value of broiler meat price volatility in Pasuruan tend to be small (low volatility) and happen quickly. Factors competitor foodstuffs price that influence the price of broiler meat in Pasuruan simultaneously influenced by the price of local chicken meat, beef prices, the price of eggs, and prices of salted anchovies fish. While partially, broiler meat prices at the consumer level in Pasuruan influenced by the price of beef and the price of eggs. The relation between the both showed that: broiler meat is alternative foodstuffs for beef, eggs are alternative foodstuffs for meat broiler, salted anchovies fish is complements for broiler meat.  

scholarly journals THE EFFECT OF ECONOMIC GROWTH AND THE NUMBER OF POPULATION TO THE UNEMPLOYMENT RATE IN INDRAGIRI HULU REGENCY

2020 ◽  
Vol 9 (1) ◽  
pp. 51-60
Author(s):  
Aris Triyono
Keyword(s):  
Economic Growth ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Unemployment Rate ◽  
Analytical Method ◽  
Total Population ◽  
Secondary Data ◽  
Regression Methods ◽  
Central Statistics

The research location used as the object of this research is the Central Statistics Agency of Indragiri Hulu Regency. This study aims to determine the effect of economic growth and population simultaneously on the unemployment rate, to determine the effect of economic growth partially on the unemployment rate, to determine the effect of the total population partially on the unemployment rate in Indragiri Hulu Regency. The type of data used in this study is secondary data. The analytical method used is multiple linear regression methods, with the help of SPSS version 21. Based on the results of simultaneous economic growth and population growth has a significant effect on the unemployment rate, economic growth has a partially positive and significant effect on the unemployment rate, the population has a partially positive and significant effect on the unemployment rate, and other variables affect the unemployment rate that is not examined in research

scholarly journals The Effect of Land Characteristics on Agricultural Productivity Using Multiple Linear Regression Method in Madiun Regency, East Java

2021 ◽  
Vol 325 ◽  
pp. 02005
Author(s):  
Elya Pratiwi Istifaroh ◽  
Rika Harini
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Agricultural Productivity ◽  
Secondary Data ◽  
Climatic Conditions ◽  
Linear Regression Method ◽  
Agricultural Commodities ◽  
Agricultural Commodity ◽  
Regression Methods

Agriculture is an important sector to support national food availability. Soil and climatic conditions in Indonesia are very suitable for agriculture. However, the land characteristics in each region are different, Especially in Madiun Regency, where this study is conducted. This study aims to determine what commodities are suitable for the characteristics of the land based on land suitability and how land characteristics influence agricultural productivity. The data used in this research is secondary data. Determination of agricultural commodities is carried out by cross-checking between land characteristics and guidelines for agricultural commodity land requirements. There are six types of agricultural commodities that are suitable for land characteristics in Madiun Regency. The effect of land characteristics consisting of several parameters on agricultural productivity was sought using multiple linear regression methods. The processing results are known that 8 variables of land characteristics significantly affect agricultural productivity by 93%. The independent variables were tested using the Simultaneous F-Test and were known to have a simultaneous (together) effect on agricultural productivity. In addition, a Partial T-Test was conducted, and it was found that there were only two variables that had a partial effect, namely the soil CEC characteristics and the sand characteristics.

scholarly journals PENGARUH PENDAPATAN DAN SUKU BUNGA TERHADAP KEPUTUSAN PENGAMBILAN KPR PADA PT BANK TABUNGAN NEGARA (PERSERO) TBK CABANG PRABUMULIH

2020 ◽  
Vol 5 (2) ◽  
pp. 53-72
Author(s):  
Emi Sukmawati
Keyword(s):  
Linear Regression ◽  
Interest Rates ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Random Sampling ◽  
Sampling Method ◽  
T Test ◽  
Coefficient Of Determination

This study is entitled "The Effect of Income and Interest Rates on the Decision of Taking Mortgages at PT Bank Tabungan Negara (Persero) Tbk Prabumulih Branch". The main problem in this research is how much income and interest rates influence the decision to take KPR at PT Bank Tabungan Negara (Persero) Tbk Prabumulih Branch. Determination of the sample in this study is to use the accidental sampling method, namely random sampling. The number of samples studied were 100 respondents who worked, both as private employees, BUMN employees, and Civil Servants (PNS) who were classified based on the income they received per month. The analytical method used is multiple linear regression with hypothesis testing using the F test, t test, and the coefficient of determination (R2). The results of this study concluded that income and interest rates influence the decision to take a mortgage at PT. Bank Tabungan Negara (Persero) Tbk Branch Prabumulih of 46.8%. Researchers give advice, companies engaged in housing should really pay attention to what factors are very influential in determining the buyer's decision to take a mortgage so that companies avoid unwanted problems, such as bad loans

PERILAKU KONSUMEN SAWI (Brassica Juncea L) PADA BEBERAPA PASAR TRADISIONAL DI KOTA KUPANG PROVINSI NUSA TENGGARA TIMUR

2020 ◽  
Vol 21 (2) ◽  
pp. 168-179
Author(s):  
Veby Kadji ◽  
Damianus Adar ◽  
Maximiliam M. J. Kapa
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Primary Data ◽  
Sales Volume ◽  
White Mustard ◽  
Traditional Markets ◽  
The Third ◽  
Traditional Market

This research has been carried out in the Oeba Traditional Market and Naikoten Traditional Inpres market in October to November 2017. The aim is to find out: (1) Purchase Volume of Mustard Consumer; (2) the preferred type of mustard; (3) identify the factors that influence the demand of mustard consumers; (4) Mustard Sales Volume. The method used in this research is survey. Determination of the location of research carried out by purposive sampling. Respondents were determined as many as 120 people. The type of data collected is primary data and secondary data. To answer the first and fourth objectives, the data were analyzed descriptively qualitatively, answering the second goal using a Likert scale and the third objective of the data analyzed using multiple linear regression. The results showed that; (1) Of the 5 types of mustard the lowest purchase volume is dominated by curly mustard, namely the frequency of purchases per week 1-2 times with a volume of 1 kg - 2 kg. (2) The results of the study of 60 respondents, namely: 30 respondents in traditional traditional markets in Naikoten and 30 respondents in traditional Oeba markets, there are 3 types of mustard which are included in the Average category, namely curly mustard greens, and white mustard, and 2 types of mustard which are included in Like categories namely: mustard huma, and mustard caisim. (3) together - all factors significantly influence the demand for mustard greens shown by the F-count (14.895)> F-table (2.54) is significant at α = 5%. While the results shown by t-count which significantly influence α = 5% are Consumer Taste, and Holidays / Holidays. While the price of mustard greens, other vegetable prices, consumer income, the number of family members, the volume of mustard greens prepared by traders does not significantly affect the demand for mustard. (4) The lowest sales volume of mustard is dominated by Curly mustard, that is 9 respondents or 5% who sell with a volume of 22 - 42Kg / week

scholarly journals Faktor-Faktor yang Mempengaruhi Permintaan Pisang Barangan di Kota Medan

2020 ◽  
Vol 2 (2) ◽  
pp. 199-207
Author(s):  
Yudha Filistea Purba ◽  
Yusniar Lubis ◽  
Faoeza Hafiz Saragih
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Family Members ◽  
Secondary Data ◽  
Income Level ◽  
Software Tools ◽  
Social Value ◽  
Regression Test ◽  
North Sumatra

Barangan Banana is a commodity that is already popular in the community has very important economic and social value, the need for bananas continues to increase in line with the population and income level of the community. This study aims to determine what factors influence the demand for barangan bananas in Medan, in the Market Petisah kecamatan medan petisah North Sumatra province from Demand, Price, Number of Family Members up to Consumers income and Method used incidental sampling is a technique that is required when sampling, samples taken as many as 30 consumers who buy barangan bananas in petisah market separating Medan petisah , and the data collected are primary and secondary data, the analytical method used is multiple linear regression test with software tools namely SPSS 21, the highest price of barangan banana 18,000, the price of other bananas (Ambon) the highest 15,000, the number of family members inggi 6, the highest income of 5,000,000.The results of this study concluded that the factors that influence the demand for barangan bananas in medan city, the separating market in medan petisah sub-district. Simultaneously influential are the prices of barangan bananas, Ambon banana prices, family members, and consumer income significantly, this can be seen from t count 4.027 is greater than t-table 1.708.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN TAHU PUTIH DI KOTA MEDAN

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
M. Fahriza Ikhsan ◽  
Retna Astuti K ◽  
Faoeza Hafiz Saragih
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Sampling Method ◽  
Secondary Data ◽  
Primary Data ◽  
Regression Test ◽  
Side Dishes ◽  
The City ◽  
Nutritional Balance

<p>Tofu is one of the foodstuffs that plays a role for nutritional balance and is one of the people's favorite side dishes. The purpose of this study is to find out what factors influence consumer demand for white tofu in the city of Medan. The sampling method is done by purposive sampling method. Respondents in this study were consumers who consumed white tofu in the household. Information obtained from white tofu sellers in Petisah Market, Sei Sikambing Market and Helvetia Market and samples taken were 45 respondents, each 15 respondents in each market. Data collected are primary data and secondary data. The analytical method used is multiple linear regression test with SPSS 20. The results of this study concluded that the variable price of white tofu, tempe prices, fish prices, income and the number of dependents simultaneously had a significant effect on the demand for white tofu in Medan. Partially the variable price of white tofu and fish prices has a significant effect on the demand for white tofu in Medan, while the variable price of tempe, income and the number of dependents does not significantly influence the demand for white tofu in Medan.</p>

scholarly journals The Influence of Woman on Board of Commissioner and Woman on Board of Director on Company Financial Performance

2021 ◽  
Vol 04 (04) ◽  
Author(s):  
Damianus John Seso ◽  
Keyword(s):  
Linear Regression ◽  
Financial Performance ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Positive Influence ◽  
Board Of Director ◽  
Analysis Technique

This study aims to examine the effect of woman on board of commissioner and woman on board of director on company financial performance. This study uses secondary data accessed through IDX.co.id and idnfinancials.com. The population in this study are companies in the manufacturing sector with a span of years 2017-2019. Determination of the sample using purposive sampling method with certain criteria. The final number of samples is 393 data. The analysis technique used in this study is multiple linear regression with the SPSS 25 version. There are two hypothesizes, namely, woman on board of commissioner and woman on board of director have a positive influence on the company's financial performance. The t-test show that both, woman on board of commissioner and woman on board of director did not have positive influence on the company's financial performance. it means that gender doesn’t matter.

scholarly journals Analisis pendapatan usaha kecil dan menengah di Kabupaten Tanjung Jabung Barat (studi kasus usaha keripik tempe di Desa Serdang Jaya Kecamatan Betara)

2020 ◽  
Vol 9 (2) ◽  
pp. 99-109
Author(s):  
Nur Abni Yusmah ◽  
Yulmardi Yulmardi ◽  
Adi Bhakti
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Analytical Tool ◽  
Production Costs ◽  
Quantitative Descriptive Analysis ◽  
Significance Level ◽  
Quantitative Descriptive

The purpose of this study is to determine and analyze the socio-economic characteristics of tempe chip business in Serdang Jaya Village, Betara District and the effect of production, production costs and labor use on the income of tempe chip business in Serdang Jaya Village, Betara District. The data used in this study are secondary data. The analytical method used is quantitative descriptive analysis. The analytical tool used is multiple linear regression. The results showed the effect of production (PRO), production costs (BP) and the use of labor (PTK) together or partially had an influence on the income of tempe chip entrepreneurs in Serdang Jaya Village (Y) at a significance level of 5%.

Pengaruh Ukuran Perusahaan, Profitabilitas, Solvabilitas, dan Ukuran Kantor Akuntan Publik terhadap Audit Delay

2018 ◽  
Vol 9 (2) ◽  
pp. 33-49
Author(s):  
Karina Harjanto
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Real Estate ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Secondary Data ◽  
Financial Reports ◽  
Accounting Firm ◽  
Purposive Sampling ◽  
Sample Data

The purpose of this research is to examine the effect of company’s size, profitability, solvability, and the size of the accounting firm towards audit delay. The object in this research are property and real estate companies listed in Bursa Efek Indonesia (BEI) for the period 2013-2015. The sample is selected by purposive sampling method. There are 42 companies selected as sample. Data used in this research is a secondary data such as audited financial reports. Data analysis uses multiple linear regression. The result of this research shows that company’s size, profitability, and solvability have no influence on audit delay, while the size of accounting firm has significant positive influences on audit delay. The result also shows that company’s size, profitability, solvability, and the size of of the accounting firm simultaneously influence audit delay. Keywords: audit delay, company’s size, profitability, solvability, size the accounting firm

PENGARUH SIMPANAN, PEMBIAYAAN DAN MODAL TERHADAP LABA PADA BTM WAHANA MENTARI KABUPATEN INDRAGIRI HULU

2018 ◽  
Vol 7 (4) ◽  
pp. 200-208
Author(s):  
Angga Hapsila
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Correlation Coefficient ◽  
Research Study ◽  
Secondary Data ◽  
Process Data ◽  
Strong Ties ◽  
Paper Work

The research was conducted by the writer on BTM Mentari in sub districts rengat - indragiri upstream. District. The research phase lasting three months. This research study is to find savings, influence financing and capital to profit in the district btm mentari Indragiri upstream. This research used secondary data , writer process data by using multiple linear regression the it using spss ( statistic package for social scince ) 24 version to get output to summarizing the research. The research that is simultaneously a conclusion can be drawn is the significant savings, between financing and capital to profit. This can be seen that the f count greater than the f table ( 29,873 > 2,36 ) When viewed from the table a model summary so r which means a correlation coefficient obtained value of 0,984 which means the amount of savings mobilized , the financing of the and capital had strong ties against spider does not permit the .Was in the middle of the value of the coefficients detrminasi as much as 0,968 paper work showing that the amount of savings mobilized , the financing of the and capital affect of the spider that has been accepted by the BTM the spacecraft mentari as much as 96,80 % the remaining of 3,20 % influenced by the fact that of other variables that do not writer you wherever you may be.

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