scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN RAMBAH KABUPATEN ROKAN HULU

2018 ◽  
Vol 14 (1) ◽  
pp. 77
Author(s):  
Ahmad Rifai ◽  
Siswanto Siswanto ◽  
Eri Sayamar
Keyword(s):  
Secondary Data ◽  
Predictive Ability ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Fixed Effect ◽  
Microfinance Institutions ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Agriculture Sector ◽  
Pooled Data

<p>Abstract : This study analysis the factors affecting the depth of outreach of<br />Microfinance Institutions (MFIs) of UED-SP at Rambah Sub-district Rokan Hulu<br />District. Factors thought to influence the depth of outreach is age of UED-SP, ROA,<br />percent of trading sector clients, percent of agriculture sector clients and number of<br />woman clients. The sampling method is done using by purposive sampling. This study<br />obtained a sample of twelve UED-SPs in the village at Rambah District from in the<br />period of 2012-2015. The data used is secondary data form pooled data. Data were<br />obtained based on the financial reports of each of the samples. This study uses<br />quantitative approach with analysis technique used is multiple linear regression<br />analysis with fixed effect model of pooled data that were previously tested with the<br />classical assumption test. Hypothesis testing using t-statistic and the F-statistic with<br />95% confidence level. Based on the classic assumption test found no variables that<br />deviate. This shows that the available data has been qualified using the linear<br />regression equation model. The results of this study show that depth of outreach are<br />statistically significant infiuenced by age of UED-SP. However, it’s negatively affect<br />on depth of outhreach. Whereas ROA, number of woman borrower, percent of<br />agriculture sector clients and percent of trading sector clients has no affect on depth of<br />outhreach. Predictive ability of these five variables on the depth of outhreach is 77,66<br />percent, while the 22,34 percent influenced by other factors not included in the<br />research model.</p><p> </p><p>Abstrak : Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi<br />kedalaman jangkauan (Depth of Outrech) pada LKM UED-SP di Kecamatan Rambah<br />Kabupaten Rokan Hulu. Faktor-faktor yang diduga berpengaruh terhadap kedalaman<br />jangkauan adalah umur UED-SP, rasio pengembalian aset (ROA), jumlah peminjam<br />wanita, proporsi peminjam sektor pertanian dan proporsi peminjam sektor perdagangan. Metode pengambilan sampel dilakukan dengan menggunakan purposive sampling. Dalam penelitian ini diperoleh sampel sebanyak 12 LKM UED-SP di Desa/Kelurahan yang ada di Kecamatan Rambah dan data yang dihimpun adalah 4 tahun dari tahun 2012-2015. Data yang digunakan adalah data sekunder data panel. Data diperoleh berdasarkan laporan keuangan dari masing-masing sampel. Teknik analisis yang digunakan adalah analisis regresi linear berganda data panel dengan model Fixed Effect (FEM) yang sebelumnya diuji dengan uji asumsi klasik. Uji hipotesis menggunakan t-statistik serta F-statistik dengan tingkat kepercayaan 95%. Berdasarkan uji asumsi klasik tidak ditemukan variabel yang menyimpang. Hal ini menunjukkan bahwa data yang tersedia telah memenuhi syarat menggunakan model persamaan linear berganda. Hasil penelitian menunjukkan bahwa variabel umur UEDSP berpengaruh signifikan terhadap kedalaman jangkauan. Namun berpengaruh negatif terhadap kedalaman jangkauan. Kemampuan prediksi kelima variabel tersebut terhadap kedalaman jangkauan adalah 77,66 persen, sedangakan 22,34 persen dipengaruhi oleh faktor lain yang tidak dimasukkan ke dalam model penelitian.</p>

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN RAMBAH KABUPATEN ROKAN HULU

2018 ◽  
Vol 14 (1) ◽  
pp. 21-36
Author(s):  
Siswanto Siswanto ◽  
Eri Sayamar ◽  
Ahmad Rifai
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Predictive Ability ◽  
Multiple Linear Regression Analysis ◽  
Equation Model ◽  
Microfinance Institutions ◽  
Factors Affecting ◽  
Agriculture Sector ◽  
Pooled Data

This study analyses the factors affecting the depth of outreach of Microfinance Institutions (MFIs) of UED-SP at Rambah Sub-district Rokan Hulu District. Factors thought to influence the depth of outreach is age of UED-SP, ROA, percent of trading sector clients, percent of agriculture sector clients and number of woman clients. The sampling method is done using by purposive sampling. This study obtained a sample of twelve UED-SPs in the village at Rambah District from in the period of 2012-2015. The data used is secondary data form pooled data. Data were obtained based on the financial reports of each of the samples. This study uses quantitative approach with analysis technique used is multiple linear regression analysis with fixed effect method of pooled data that were previously tested with the classical assumption test. Hypothesis testing using t-statistic and the F-statistic with 95% confidence level. Based on the classic assumption test found no variables that deviate. This shows that the available data has been qualified using the linear regression equation model. The results of this study show that depth of outreach are statistically significant infiuenced by age of UED-SP. However, it’s negatively affect on depth of outhreach. Whereas ROA, number of woman borrower, percent of agriculture sector clients and percent of trading sector clients has no affect on depth of outhreach. Predictive ability of these five variables on the depth of outhreach is 77,66 percent, while the 22,34 percent influenced by other factors not included in the research model.

scholarly journals PENGARUH KEBIJAKAN DIVIDEN DAN PROFITABILITAS TERHADAP NILAI PERUSAHAAN

2021 ◽  
Vol 10 (2) ◽  
pp. 211-225
Author(s):  
Marselina H. Umbung ◽  
Wehelmina M. Ndoen ◽  
Paulina Yuritha Amtiran
Keyword(s):  
Fixed Effect Model ◽  
Fixed Effect ◽  
Purposive Sampling ◽  
Pooled Data ◽  
Effect Model

Tujuan penelitian ini untuk mengetahui pengaruh kebijakan dividen dan profitabilitas terhadap nilai perusahaan yang berada dalam perusahaan sub sektor tekstil dan garmen yang terdaftar di Bursa Efek Indonesia. Sampel penelitian ini adalah perusahaan manufaktur sub sektor tekstil dan garmen yang terdaftar di Bursa Efek Indonesia (BEI) periode 2014-2018. Data dikumpulkan dengan menggunakan metode dokumentasi. Populasi dalam penelitian ini adalah 22 perusahaan yang berada dalam perusahaan manufaktur sub sektor tekstil dan garment. Pemilihan sampel menggunakan teknik purposive sampling, dengan kriteria sebagai berikut: (1) Perusahaan Manufaktur Sub Sektor Tekstil dan Garmen yang terdaftar di Bursa Efek Indonesia (BEI) periode 2014-2018 yang melakukan kebijakan dividen; (2) Perusahaan yang melaporkan laporan keuangan pada periode 2014-2018; (3) Perusahaan tidak berada dalam kondisi krisis, sehingga diperoleh sampel sebanyak 4 perusahaan. Uji hipotesis dilakukan dengan menggunakan metode analisis regresi data panel (Pooled Data). Hasil penelitian ini menunjukkan: (1) kebijakan dividen berpengaruh positif dan tidak signifikan terhadap nilai perusahaan; (2) profitabilitas berpengaruh positif dan tidak signifikan terhadap nilai perusahaan; (3) kebijakan dividen dan profitabilitas berpengaruh secara simultan terhadap nilai perusahaan; (4) Model pendekatan fixed effect model layak sebagai pengujian model. Melalui penelitian ini dapat memberikan informasi bagi perusahaan untuk dapat mengelola aset dan dana perusahaan untuk meningkatkan nilai perusahaan melalui harga saham serta mampu mengelola aset dan dana yang berasal dari investor secara efektif dan efisien.

scholarly journals PENGARUH TINGKAT PENDIDIKAN, INVESTASI, DAN TINGKAT UPAH TERHADAP ANGKATAN KERJA YANG AKTIF BEKERJA DI INDONESIA

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 691
Author(s):  
Vivi Violita Firda ◽  
Syamsul Amar
Keyword(s):  
Secondary Data ◽  
Work Force ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Education Level ◽  
Fixed Effect ◽  
Panel Regression ◽  
Effect Model ◽  
Positive Effect ◽  
Level 2

This study aims to find out and analyze the influence of (1) Education Level, (2) Investment, and (3) Wage Levels on the workforce that is actively working in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) Education Level has a positive and significant effect on the workforce that is actively working in Indonesia, (2) Investment has a positive and not significant effect on the workforce that is actively working in Indonesia, (3) Wage Levels have a positive and significant effect on workforce that is actively working in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 32 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) Education Level has a positive and significant effect on the Active Work Force in Indonesia (2) Investment has a positive effect and has no significant effect on the Active Work Force in Indonesia. (3) Wage Levels have a positive and significant effect on the Active Work Force in Indonesia. Keywords: Labor Force, Education Level, Investment, and Wage Level

scholarly journals PENGARUH TINGKAT PENDIDIKAN, PENGANGGURAN , DAN KEMISKIAN TERHADAP KRIMINALITAS DI INDONESIA

2019 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Suci Rahmalia ◽  
Ariusni Ariusni ◽  
Mike Triani
Keyword(s):  
Panel Data ◽  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Fixed Effect ◽  
Regression Equation ◽  
Panel Regression ◽  
Level Of Education ◽  
Effect Model

This study aims to determine and analyze the influence of (1) Level of Education, (2) Unemployment, and (3) Poverty against crime in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) the level of education has a negative and not significant effect on criminality in Indonesia, (2) unemployment has a negative and significant effect on crime in Indonesia, (3) poverty has a positive and significant influence on crime in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 31 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) The level of education has a negative and insignificant influence on crime in Indonesia, (2) Unemployment has a negative and significant effect on crime in Indonesia, (3) Poverty has a positive and significant influence on crime in Indonesia.

scholarly journals Pengaruh Bid-Ask Spread, Market Value dan Risk of Return Terhadap Holding Period Saham

2020 ◽  
Vol 2 (3) ◽  
pp. 440-449
Author(s):  
Karoomatus Syifa ◽  
Aris Susetyo
Keyword(s):  
Market Value ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Purposive Sampling ◽  
Holding Period ◽  
Bid Ask Spread ◽  
Effect Model

Tujuan penelitian ini untuk mengetahui pengaruh bid-ask spread, market value dan risk of return terhadap holding period saham secara parsial maupun simultan pada saham perusahaan indeks JII tahun 2016-2018. Sumber data dalam penelitian adalah data sekunder berbentuk data harian yang diperoleh di www.idx.co.id dan Yahoo Finance. Populasi yang digunakan dalam penelitian ini adalah perusahaan yang terdaftar dalam Indeks JII tahun 2016-2018 yang berjumlah 30 perusahaan. Teknik pengambilan sampel menggunakan metode purposive sampling yang menghasilkan jumlah sampel sebanyak 17 perusahaan. Tahun 2016 terdapat 246 hari perdagangan, tahun 2017 terdapat 238  hari perdagangan  dan tahun 2018 terdapat 241 hari perdagangan sehingga membentuk data panel sebanyak 12.325 sampel. Teknik analisis yang digunakan adalah analisis regresi data panel: Fixed Effect Model dengan bantuan aplikasi software Eviews 10. Uji hipotesis dalam penelitian ini menggunakan uji t-statistic dan uji F-statistic dengan tingkat signifikansi 5%. Hasil penelitian menunjukkan bahwa: 1) bid-ask spread memiliki pengaruh negatif dan signifikan terhadap holding period saham, 2) market value memiliki pengaruh positif dan signifikan terhadap holding period saham, 3) risk of  return memiliki pengaruh negatif dan signifikan terhadap holding period saham, 4) bid-ask spread, market value dan risk of  return secara simultan memiliki pengaruh terhadap holding period saham. Holding period saham dapat dijelaskan oleh pengaruh variasi variabel independen bid-ask spread, market value dan variance return sebesar 99,91 %, sedangkan 0,09% dipengaruhi oleh variabel lain diluar model penelitian.

scholarly journals Pengaruh Closing Price, Trading Volume Activity, dan Volatilitas Return Saham Terhadap Bid-Ask Spread Pada Perusahaan LQ45 Tahun 2017

2020 ◽  
Vol 2 (1) ◽  
pp. 81-88
Author(s):  
Ayu Agustin Ika Pratama ◽  
Aris Susetyo
Keyword(s):  
Trading Volume ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Volume Activity ◽  
Purposive Sampling ◽  
Bid Ask Spread ◽  
Effect Model ◽  
Closing Price

Penelitian ini bertujuan untuk mengetahui pengaruh closing price, trading volume activity, dan volatilitas return saham secara parsial maupun simultan terhadap bid-ask spread perusahaan index LQ45 tahun 2017. Sumber data yang digunakan dalam penelitian ini adalah data sekunder harian. Populasi yang digunakan dalam penelitian ini adalah perusahan yang terdaftar dalam Indeks LQ45 tahun 2017 yang berjumlah 45 perusahaan. Teknik pengambilan sampel menggunakan metode purposive sampling yang menghasilkan jumlah sampel sebanyak 33 perusahaan dan 238 hari sehingga membentuk data panel sebanyak 7854 sampel. Teknik analisis yang digunakan adalah analisis regresi data panel Fixed Effect Model dengan bantuan aplikasi software Eviews 10. Penelitian ini menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa : 1) closing price berpengaruh signifikan terhadap bid-ask spread, 2) trading volume activity berpengaruh signifikan terhadap bid-ask spread, 3) volatillitas return saham berpengaruh signifikan terhadap bid-ask spread, dan 4) closing price, trading volume activity, dan volatilitas return saham berpengaruh signifikan terhadap bid-ask spread.

scholarly journals THE FINANCIAL PERFORMANCE OF MANUFACTURING COMPANIES IN IDX AND SOME FACTORS THAT INFLUENCE

2021 ◽  
Vol 19 (2) ◽  
pp. 354-362
Author(s):  
Ichsan Ichsan ◽  
◽  
Ira Silvia ◽  
Mahdawi Mahdawi ◽  
Ghazali Syamni ◽  
...  
Keyword(s):  
Financial Performance ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Dominant Factor ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Industrial Sectors ◽  
Effect Model ◽  
Study Results ◽  
Equity Ratio

This study aims to examine some factors affecting the financial performance of manufacturing companies in the Indonesia Stock Exchange (IDX). This research uses data on the financial statements of 20 manufacturing companies listed on IDX in the period 20132017 and carried out share distribution facilities for their employees. This research model is a panel regression model done by testing the common effect model, fixed-effect model, and random effect model. Based on the Chow test and Hausman test, it is found that the best model in this study is the fixed effect model. The study results find that dividend policy, a share giving program to employees, and debt to equity ratio are significant factors affecting the financial performance of manufacturing companies in Indonesia. From these three factors, the debt to equity ratio is the dominant factor determining the financial performance of manufacturing companies, while investment decision does not significantly affect it. Future research studies can be carried out by focusing on other industrial sectors such as the Jakarta Islamic Index 70 and adding other macroeconomic variables.

scholarly journals Labor Absorption and Its Impact on Gross Regional Domestic Product

2013 ◽  
Vol 14 (2) ◽  
pp. 147
Author(s):  
Made Ika Prastyadewi ◽  
Agus Suman ◽  
Devanto Shasta Pratomo
Keyword(s):  
Fixed Effect Model ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Least Square ◽  
Domestic Product ◽  
Simultaneous Equation Model ◽  
Agriculture Sector ◽  
Effect Model ◽  
Working Age ◽  
Positive Effect

The objective of this study is to examine the determinants of labor absorption in the trade, hotel and restaurant sector and its impact on Gross Regional Domestic Product/GRDP at Bali Province. This study is important due to the fact that the GRDP in this sector is the highest compared to other sector but the labor absorption is lower than the agriculture sector. This study used panel data comprising 9 regencies/cities at Bali Province in the period 2003-2009 including fixed effect model and simultaneous equation model of Two-Stage Least Square. The results showed that GRDP, working age population, and the minimum wage have positive effect on employment, while the educated unemployment has no significant effect on the employment in the trade, hotel and restaurant sector. In addition, increases in employment and workers productivity have positive and significant effects the GRDP in the trade, hotel and restaurant sector at Bali Province.

scholarly journals Microfinance Participation in Thailand

2020 ◽  
Vol 13 (6) ◽  
pp. 122
Author(s):  
Wittawat Hemtanon ◽  
Christopher Gan
Keyword(s):  
Income Inequality ◽  
Low Income ◽  
Rural Households ◽  
Secondary Data ◽  
Multinomial Logit Model ◽  
Microfinance Institutions ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Poor Households ◽  
Household Heads

Income inequality is a major problem in Thailand. A key determinant of income inequality in Thailand is the lack of financial access to financial institutions for low-income families. Microfinance institutions (MFIs) play an important role in enabling poor households to access financial resources at a reasonable cost. The purpose of this paper is to investigate factors that affect Thai households participating in microfinance programs in Thailand. A multinomial logit model is used to investigate the factors that impact the Thai households’ access to microfinance. The study employs secondary data from the Thai Socioeconomic Survey (cross-sectional data in 2017) to identify factors affecting Thai household participation in microfinance programs. The results show that the Village Fund (VF) targets low-income rural households and encourages those with older household heads who have lower levels of education, and female household heads, to participate in their program. Larger households are more likely to access the VF. Households with higher dependency ratios are less likely to borrow from the VF. Households with well-educated, young household heads in regional areas are more likely to borrow money from Saving Groups for Production (SGPs). SGP borrower households have higher household incomes than VF borrower households. Our findings indicate that VFs and SGPs are credit sources in the rural credit market; these sources enable rural households to access credit to meet their needs. In addition, rural Thai households borrow from many sources so that they can rotate their loan repayments. Low-income households refinance their loans by borrowing from different sources.

Impact of Agriculture Factor and Non-Agriculture Factor to Value of Food Production: Cast Study of Vietnam, Thailand, Indonesia and Philippines Period 2010-2019

2021 ◽  
Vol 1 (2) ◽  
pp. 80
Author(s):  
Muhamad Ferdy Firmansyah ◽  
Dewi Pratiwi Pusparini ◽  
Arriane A. Vivero ◽  
Neldren Grace Lababit
Keyword(s):  
Food Production ◽  
Control Variable ◽  
Value Added ◽  
Secondary Data ◽  
Political Stability ◽  
The Philippines ◽  
Factors Affecting ◽  
Average Value ◽  
Agriculture Sector ◽  
Annual Population

Food production provides an overview of developing a country's agriculture resilience and food security. Several factors can affect food production. They can be divided into agriculture factors and non-agriculture factors. This research aims to find agricultural and non-agricultural factors affecting food production. We assume the food production with a used average value of food production. A quantitative approach using a panel data model approach using for this research. The data used is secondary data. The results are that the factors that can affect food production with a used average value of food production are dependent variables. In this research, we used independent variables as follows agriculture land are, agriculture value-added, employment in the agriculture sector, credit to agriculture, and control variable. Control variables used in this research are annual population, gross domestic product, and political stability. This research is based on Vietnam, Thailand, Indonesia, and the Philippines. We used data panel regression for estimating the model, the data period used is in the period 2010-2019. This study provides recommendations that in increasing the optimization of food production, it is necessary to plan for value-added, empower workers, suppress population growth, and political stability.

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