scholarly journals Analisis pengaruh PDRB dan jumlah penduduk terhadap Pendapatan Asli Daerah Kabupaten Kerinci

2021 ◽  
Vol 10 (3) ◽  
pp. 201-210
Author(s):  
Afdhal Hendri Saldi ◽  
Zulgani Zulgani ◽  
Nurhayani Nurhayani
Keyword(s):  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Substantial Effect ◽  
Least Square ◽  
Regional Income ◽  
Ordinary Least Square ◽  
Average Population ◽  
Considerable Impact

This study aims to analyze the effect of GRDP and population on Regional Original Income (PAD). The analytical method used is multiple linear regression with Ordinary Least Square (OLS) 2006-2020. The results of this study indicate that the development of Regional Original Income (PAD) in Kerinci Regency has increased except for 2009, 2012, 2017, and 2019 with an average PAD of Rp. Forty-seven thousand two hundred twenty million per year, the development of GRDP in Kerinci Regency has increased continuously except in 2008 with an average GRDP of Rp. 5,907.25 billion per year, and the average population growth in Kerinci Regency is 245,932 people per year. As well as the results of the analysis of factors that affect original regional income in Kerinci Regency, simultaneously the GRDP and population variables have a significant effect on Regional Original Income and partially GRDP is having a considerable impact number of residents has no substantial effect. Keywords: PDRB, Population, PAD

scholarly journals Willingness to Pay Analysis of First Fuel in Yogyakarta

2020 ◽  
Vol 4 (2) ◽  
pp. 140-148
Author(s):  
Masniya Khairunnisa ◽  
Lilies Setiartiti
Keyword(s):  
Linear Regression ◽  
Willingness To Pay ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Sampling Method ◽  
Variable Number ◽  
Least Square ◽  
Purposive Sampling ◽  
Ordinary Least Square

This study aims to measure the value of willingness to pay and analyze the factors that affect consumer willingness to pay toward Pertamax fuel. This study's dependent variable is income, number of owned vehicles, the frequency of vehicle use, and product literacy. In this study sample of 100 Pertamax fuel users in Yogyakarta were selected using the Purposive Sampling method. This study using multiple linear regression or Ordinary Least Square (OLS). The results show that the value of consumer willingness to pay toward Pertamax fuel is Rp. 10,545. The factors that influence willingness to pay are income, frequency of vehicle use, and product literacy. These three variables are positive and have a significant influence on consumer willingness to pay toward Pertamaxfuel. While the variable number of the owned vehicle

scholarly journals Faktor-faktor yang Mempengaruhi Volume Ekspor Kopi dari Kabupaten Aceh Tengah ke Amerika Serikat

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Afriamah Afriamah ◽  
Zulkarnain Lubis ◽  
Mitra Musika Lubis
Keyword(s):  
United States ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Least Square ◽  
Export Demand ◽  
Ordinary Least Square

Indonesia is one of the world's largest coffee producers, it can be seen from the amount of exports from Indonesia for coffee export. In the past few years, several companies have carried out massive expansion to get Gayo coffee from Central Aceh Regency and Bener Meriah. The purpose of this study was to analysis what factors influence the volume of Gayo coffee exports from Central Aceh Regency to the United States. The data collection method using the documentary method is the data obtained and viewed by the document in accordance with the variables in the research model in the period 2013-2017. Data collected is secondary data. The analytical method used is multiple linear regression with the method used is the Ordinary Least Square (OLS) Method. From the research using multiple linear regression analysis obtained that variables which have significant effect to the export demand of Gayo Coffee from the United States is Global Coffee Prices. While the production of domestic Gayo coffee, the exchange rate of dollars against the rupiah and the price of foreign Gayo coffee are not significant to the demand for export of Gayo coffee to the United States.

scholarly journals Perbandingan Model Estimasi Artificial Neural Network Optimasi Genetic Algorithm dan Regresi Linier Berganda

2017 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Jimmy Saputra Sebayang ◽  
Budi Yuniarto
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Least Square ◽  
Simulation Data ◽  
Ordinary Least Square

Multiple Linear Regression is a statistical approach most commonly used in performing predictive data modeling. One of the methods that can be used in estimating the parameters of the model on Multiple Linear Regression is Ordinary Least Square. It has classical assumptions requirements and often the assumptions are not satisfied. Another method that can be used as an alternative data modeling is Artificial Neural Network. It is  a free-distribution estimator because there's no assumptions that have to be satisfied.  However, modeling data using ANN has some problems such as selection of network topology, learning parameters and weight initialization. Genetic Algorithm method can be used to solve those problems. A set of simulation data was generated to test the reliability of ANN-GA model compared to Multiple Linear Regression model. Model comparison experiments indicate that ANN-GA model are better than Multiple Linear Regression model for estimating simulation data both on the data training and data testing.Keywords:Neural Network, Genetic Algorithm, Ordinary Least Square

scholarly journals ANALISIS DETERMINAN PENDAPATAN PEDAGANG PASAR BANJARSARI KOTA PEKALONGAN PASCA KEBAKARAN

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Nur Elitami Insan ◽  
Arif Pujiyono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Business Location ◽  
Dominant Influence

The income of traders in the Banjarsari Emergency Market Pekalongan is influenced by various factors, one of which is the trader resources (capital, working hours, business length, education, and business location). This study aims to determine the effect of capital, working hours, business length, education, and business location on the income of traders in the Banjarsari Emergency Market in Pekalongan. There as 95 traders of Banjarsari Emergency Market in Pekalongan were taken as samples with purposive sampling and accidental sampling. This study uses multiple linear regression analysis tools with the Ordinary Least Square (OLS) method. The results showed that capital, length of business, and location of business affect the income of traders. While working hours and education have not affected the income of the trader. Capital provides the most dominant influence on income trader

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 Faktor-Faktor Mempengaruhi Ketimpangan Wilayah di Provinsi Jawa Timur, Indonesia

2018 ◽  
Vol 33 (1) ◽  
Author(s):  
Fitrah Sari Islami ◽  
Nugroho SBM
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Government Expenditure ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Regional Inequalities ◽  
Index Value

<p align="center"><strong>Abstrak</strong></p><p>Ketimpangan wilayah merupakan salah satu masalah yang umum terjadi di Negara sedang berkembang termasuk di Indonesia. Jawa Timur merupakan provinsi yang nilai ketimpangannya cukup tinggi jika dibandingkan dengan provinsi lain yang berada di Pulau Jawa. Penelitian ini bertujuan untuk 1) mengetahui keadaan ketimpangan di Provinsi Jawa Timur 2) mengetahui faktor-faktor yang mempengaruhi ketimpangan wilayah di Provinsi Jawa Timur.</p><p>Penelitian ini menggunakan 1) Indeks Williamson untuk mengukur ketimpangan wilayah, 2) Analisis regresi linear berganda (<em>Ordinary Least Square</em>) dengan waktu penelitian tahun 2001-2015. Penelitian ini menggunakan software Eviews 9.</p><p>Hasil Penelitian menunjukkan bahwa tingkat ketimpangan wilayah di Provinsi Jawa Timur cenderung meningkat dengan nilai indeks Williamson lebih dari 1. Hasil analisis regresi linear berganda dalam penelitian ini ada tiga variabel yang hasilnya signifikan (α=5%) dan berpengaruh terhadap ketimpangan wilayah yaitu variabel investasi, angkatan kerja dan IPM serta dua variabel yang tidak signifikan yaitu variabel pertumbuhan ekonomi, pengeluaran pemerintah.</p><p><strong> Kata Kunci:</strong> Ketimpangan Wilayah, Indeks Williamson, Jawa Timur</p><p> </p><p align="center"><strong><em>Abstract</em></strong></p><p><em>Regional inequalities are one of the most common issues in developing countries including in Indonesia. East Java is the pro vince with the quiet high  inequalities value compared to the other provinces in Java Island. This study aims to: 1) to calculate the inequality value in East Java Province, 2) to classify the regions in East Java Province using Klassen Typology, 3) to determine factors that affect inequalities value in East Java Province.</em></p><p><em>The methods used in this study were 1) Williamson Index to calculate the inequalities values, 2) Multiple linear regression analysis (Ordinary Least Square) during 2001 – 2015 using Eviews 9 software.</em></p><p><em>The result of the study showed that the level of regional inequalities in East Java Province tends to increase with the Williamson index value more than 1. The result of  multiple linear regression analysis, the variable of </em><em> investment, labor forced and </em><em>HDI were resulted to significant and it affect to the regional inequalities, meanwhile the variable of economic growth, </em><em>and government expenditure</em><em> were insignificant.</em></p><p><em></em><strong><em>Keyword:</em></strong><em> </em><em>inequalities</em><em>, </em><em>Williamson Index</em><em>, </em><em>Klassen Typology</em><em>, East Java</em></p>

scholarly journals Analisis determinan impor beras di Indonesia

2020 ◽  
Vol 8 (3) ◽  
pp. 135-142
Author(s):  
Muhammad Rizky Mulya ◽  
Haryadi Haryadi ◽  
Rahma Nurjanah
Keyword(s):  
Exchange Rate ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Ordinary Least Square ◽  
Population Exchange

This study aims to determine and analyze the development of a gross domestic product, population, rupiah exchange rate, inflation, and rice imports. In addition, to choose and investigate the effect of gross domestic product, people, rupiah exchange rate, inflation, and rice imports. The method used to analyze this research is descriptive quantitative. This study uses multiple linear regression analysis based on Ordinary Least Square (OLS). Based on the results of this study, the development of rice imports fluctuates every year. It tends to increase rice imports, gross domestic product fluctuates and tends to grow, the population increases every year, the rupiah exchange rate fluctuates, and inflation fluctuates every year and tends to decrease. The results of multiple linear regression show that the variables of gross domestic product, population, and exchange rate significantly affect rice imports in Indonesia. In contrast, the inflation variable is not substantial on rice imports in Indonesia. Keywords: Import rice, GDP, Total population, Exchange rate, Inflation.

scholarly journals PENGARUH JUMLAH PENDUDUK, TINGKAT PENGANGGURAN DAN TINGKAT PENDIDIKAN TERHADAP KEMISKINAN DI PROVINSI ACEH

2019 ◽  
Vol 4 (2) ◽  
pp. 265-283
Author(s):  
Eka Agustina ◽  
Mohd. Nur Syechalad ◽  
Abubakar Hamzah
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Unemployment Rate ◽  
Educational Level ◽  
Multiple Linear Regression Model ◽  
Least Square ◽  
Ordinary Least Square ◽  
Aceh Province ◽  
The Government

This study was aim to know and to analyze the influence the amount of population, unemployment rate and educational level to poverty in Aceh province, by using quantitative descriptive approach through time series during 20 years (1995-2015) the secondary data was used from Aceh province. Type of the study classified to multiple linear regression model that is based on OLS (Ordinary least Square.) The result of this study shown that unemployment rate and educational level have positive and significant effect on poverty while the number of population has no significant effect to poverty. This study was suggestions that should be considered by the government is that pay more attentions on the quality of human resource, by giving more trainingof capacity building and skills of workers in order to competition for better occupation and far from poverty.Keywords: Number of Population, Unemployment Rate, Educational Level, and PovertyAbstrakPenelitian ini bertujuan untuk mengetahui dan menganalisa Pengaruh Jumlah Penduduk, Tingkat Pengangguran dan Tingkat Pendidikan Terhadap Kemiskinan di Provinsi Aceh, dengan menggunakan pendekatan deskriptif-kuantitatif yang berupa data time series, selama 20 tahun (1996-2015) berupa data-data sekunder yang dipilih dari total keseluruhan Provinsi Aceh. Model yang digunakan dalam penelitian ini adalah model analisis regresi linear berganda (Multiple Linear Regression) berdasarkan metode OLS (Ordinary Least Square). Hasil penelitian untuk pengaruh jumlah penduduk, tingkat pengangguran dan tingkat pendidikan terhadap kemiskinan menunjukkan bahwa tingkat pengangguran dan tingkat pendidikan berpengaruh positif dan signifikan terhadap kemiskinan sedangkan jumlah penduduk tidak berpengaruh signifikan terhadap kemiskinan. Saran yang harus dilakukan pemerintah adalah dengan memperhatikan peningkatan kualitas SDM, dengan cara membuat pelatihan-pelatihan untuk meningkatkan pendidikan dan keterampilan tenaga kerja agar bisa bersaing dalam memperoleh pekerjaan sehingga tidak terjerat dalamkemiskinan.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

scholarly journals EFFECT OF MOTIVATION, WORK DISCIPLINE AND ORGANIZATIONAL CULTURE ON EMPLOYEE PERFORMANCE PT SHARP ELECTRONICS INDONESIA (DIVISION CUSTOMER SATISFACTION)

2020 ◽  
Vol 6 (7) ◽  
pp. 79-86
Author(s):  
Tri Yudha Ardiyanto ◽  
Tajuddin Pogo
Keyword(s):  
Organizational Culture ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Performance Appraisal ◽  
Analytical Method ◽  
Quantitative Research ◽  
Employee Performance ◽  
Sampling Techniques ◽  
Assessment Indicator

This research examines and analyzes motivation, work discipline and organizational culture on the performance of employees at PT Sharp Electronics Indonesia (division Customer Satisfaction) that have not been maximized, due to the achievement of the results of performance appraisal in the 2017L and 2018F periods there was a decrease in each assessment indicator which greatly impacted employee performance. The method used is quantitative research. With a population of 110 employees, PT Sharp Electronics Indonesia (Division Customer Satisfaction), with sampling techniques using Slovin formula with a total of 86 employees. The analytical method used in this study is multiple linear regression. The results of the study show that Motivation, Work Discipline and Organizational Culture together (Simultaneous) significantly influence the Performance of Employees of PT Sharp Electronics Indonesia (Division Customer Satisfaction).

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