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 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 Analisis Prakiraan Beban Listrik Rumah Tangga dengan Menggunakan Metode Regresi

2019 ◽  
Vol 6 (2) ◽  
pp. 155
Author(s):  
Marwan Marwan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Electrical Load ◽  
Regression Methods ◽  
Electricity Load ◽  
Residential House

The purpose of this research is to analyse the number of consumers and electricity load of residential house in South Makassar region for 2019. To achieved this goal, a simple linear regression method for calculating the number of consumers and multiple linear regression methods to calculate the electrical load. To analyse this study, electricity data was taken from Electricity State Company (called PLN) since 2015 to 2016. Based on the results illustrated that the number of consumers and electricity load at the end of December 2019 were 752865 and 155187128 kWh, respectively.

scholarly journals PREDIKSI ALOKASI JUMLAH PRODUKSI MINYAK SAWIT DENGAN METODE REGRESI LINIER BERGANDA PADA PT. PALM LAMPUNG PERSADA

2018 ◽  
Vol 6 (2) ◽  
pp. 61-69
Author(s):  
Sidik Rahmatullah ◽  
Dita Destia
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Palm Oil ◽  
Oil Production ◽  
Original Data ◽  
Raw Material ◽  
Linear Regression Method ◽  
Regression Methods ◽  
A Company ◽  
Learning Data

ABSTRACTPT. Palm Lampung Persada Way Kanan is a company engaged in oil palm plantations that produce crude palm oil. This company often experiences problems in the allocation of palm oil production.This research was conducted using multiple linear regression method to predict the allocation of the amount of palm oil production based on learning data using Microsft Excel 2010 and RapidMiner applications. In this study there are dependent variables (free) and independent variables (bound), namely: dependent variable (raw material, amount of labor, rainfall and land area) while the independent variable (palm oil).Calculations using multiple linear regression methods in determining the allocation of the amount of palm oil production can be used to assist companies in making a decision with predictive value close to the original data processed as learning data with a result of 170.811 and original data of 170 and an error value of 0.002.

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

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 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 Pengaruh Pajak Daerah, Retribusi Daerah dan Laba Badan Usaha Milik Daerah di (BUMD) Terhadap Pertumbuhan Ekonomi Kabupaten Aceh Utara

2020 ◽  
Vol 3 (1) ◽  
pp. 39
Author(s):  
Muchsal Mina ◽  
Ratna Ratna
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Joint Effect ◽  
Analysis Method ◽  
Regression Methods ◽  
Local Taxes ◽  
The North

This study aims to determine how much influence local taxes, regional levies and profits of regional-owned enterprises on economic growth in North Aceh Regency. The data used in this study is secondary data sourced from the North Aceh Central Bureau of Statistics 2005-2017. The data analysis method used in this study is multiple linear regression methods. With the help of Eviews 10 the results of the research partially show that regional taxes have a negative and significant effect on economic growth in North Aceh District. regional retribution does not affect and negatively affect economic growth in North Aceh Regency, and the profits of regionally owned enterprises have a positive and significant effect on economic growth in North Aceh District. The results of the tests carried out jointly are known that Regional Taxes, Regional Levies and profits of Regionally Owned Enterprises have a joint effect on Economic Growth in North Aceh Regency at 0.8133 (8133%).Keyword : Regional Taxes, Regional Levies, Owned Enterprise Profits Regions, Economic Growth.

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 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.

ANALISIS PERILAKU KONSUMEN DALAM PENGAMBILAN KEPUTUSAN OBYEK AGROWISATA (STUDI KASUS DI KUSUMA AGROWISATA KOTA BATU, MALANG)

AGRICA ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 73-83
Author(s):  
Novi Itsna Hidayati ◽  
Maulidlotul Dwi Kurniawati Dwi Kurniawati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Coefficient ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Linear Regression Method ◽  
Consumer Decision Making ◽  
Consumer Decision

Agrotourism is defined as a form of tourism activity that utilizes agribusiness as a tourism object with the aim of expanding knowledge, experience, recreation, and business relationship in agriculture. One of the agro tourism destinations in East Java is Kusuma Agrowisata with a unique commodity that is cultivated is a typical commodity of Malang City that is Malang Apples. Kusuma Agrowisata has tried to offer tour packages, but the tour package does not contain elements that are in accordance with the wishes of visitors. The purpose of this study is to identify the characteristics of visitors related to the consumer decision-making process in choosing the object Kusuma Agrowisata and analyze the factors that influence consumer decisions in Kusuma Agro tourism object. The data used are primary data and secondary data. Primary data derived from interviews with visitors agro-tourism and answers questionnaires from respondents. The secondary data comes from several libraries relevant to the research topic. Sampling was done by using convenience sampling method as many as 100 people. The analytical tool used is descriptive analysis and multiple linear regression analysis using SPSS 15.0 softwere help.By using multiple linear regression method, it can be concluded that the most influential variable on consumer decision variables is the price variable with regression coefficient value of 0.375, while the distance variables have positive but not significant influence with regression coefficient value of 0.148, and income variable has no positive effect and also not significant with regression value of -0, 385.

Sign in / Sign up

Export Citation Format

Share Document