scholarly journals Analysis of Production Factors for The Rubber Smallholder Sector in Malaysia

2021 ◽  
Vol 9 (1) ◽  
pp. 83-99
Author(s):  
Norlee Ramli ◽  
Oswatun Samat ◽  
Mohd Khairi Ismail ◽  
Nor Shuhada Ahmad Shaupi
Keyword(s):  
Natural Rubber ◽  
Least Square ◽  
Rubber Plantation ◽  
Land Area ◽  
Total Contribution ◽  
Rubber Production ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Agronomic Practices ◽  
Production Factors

The production of natural rubber in Malaysia is primarily dominated by smallholders representing almost 95% of the total rubber plantation, while commercial estates constitute the remainder. The natural rubber industry is an integral part of the Malaysian economy, with 2.6% of with the total contribution of exports valued at more than RM20 billion annually. Therefore, the three key inputs that affect the productivity of smallholders in all states throughout Malaysia should be critically explored There is limited literature on the production of rubber by smallholders. The labour consumption, land area and adherence to agronomic practices are the main inputs and variables in this study. The Ordinary Least Square (OLS) was used to analyse the correlation of each input with rubber production by referring to the concept of the production function. The results discovered that 96% of rubber production yields are explained by independent variables consisting of labour, plantation area, weeding and cultivating activities. Furthermore, the total plantation area and adherence to agronomic practices positively affect total rubber production, while inefficient use of labor negatively affects total rubber production    

scholarly journals Dampak Ekonomi dan Kesehatan pada Konsumen Rokok Elektronik di Kota Bandung

2019 ◽  
Author(s):  
Estro Dariatno Sihaloho ◽  
Irlan Adiyatma Rum
Keyword(s):  
Electronic Cigarettes ◽  
Economic Effects ◽  
Electronic Cigarette ◽  
Least Square ◽  
Cigarette Consumption ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Different Characteristics

Consumers of conventional cigarettes have begun to switch to using electronic cigarettes. Having different characteristics of these two kinds of cigarettes make the different health and economic effects to consumers. This study uses Ordinary Least Square (OLS) method to analyze the influence of electronic cigarette usage on conventional cigarette usage in Bandung in 2017. This study used 200 respondents of electronic cigarette users. This study uses the amount of conventional cigarette consumption after using electronic cigarette per day (Y) as the dependent variable. For independent variables, this study uses conventional cigarette consumption before using electronic cigarette per day (X1), total liquid of electronic cigarette consumption per month (X2), monthly electronic cigarette expenditure (X3), and respondent's perception whether using electronic cigarette more healthy (X4). Regression results showed that X1 and X4 have significant effect on Y. The increase of 1 stem of conventional ciga-rettes consumption before using electronic cigarette per day (X1) will increase the consumption of conventional cigarettes after using electronic cigarette per day (Y) of 0.1618005 stem. While with the respondent's perception that using electronic cigarette is healthier (X4) will reduce the consumption of conventional cigarettes (Y) as much as 5.169504 stems

scholarly journals Pengaruh umur, pendidikan, upah, keterampilan, dan jenis kelamin terhadap lama mencari kerja bagi pekerja terdidik di Kota Jambi (studi kasus Kecamatan Kota Baru dan Telanaipura)

2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli
Keyword(s):  
Sampling Method ◽  
Least Square Method ◽  
Total Sample ◽  
Least Square ◽  
Primary Data ◽  
Wage Level ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
And Gender ◽  
Multistage Sampling

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.

scholarly journals The INFLUENCE OF PRODUCTION FACTORS TOWARD ECONOMIC GROWTH IN INDONESIA

2019 ◽  
Vol 4 (1) ◽  
pp. 44-46
Author(s):  
Wilson Bangun
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Production Factor ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Production Factors ◽  
The People ◽  
Data Production ◽  
Using Data

Economic growth as a mesurement and reflect of the people prosperity. Employee production factor have a better contribution if  to compare with capital and technology production factors on Indonesian economic growth. However, Indonesian workforce quality is lowest in ASEAN-5. The research methodology is using the Cobb-Douglas production function with the Ordinary Least Square (OLS), the using equation formulation: lnY = ln a + bi  +e. This research using data is secondary data: production factors using data of progressing of FDI and domestic investment, source of  the World Bank, 2004-2016; Employment is using data of progressing of Indonesia workforce,  sourced from the Biro Pusat Statistik Republik Indonesia, 2004-2016. The research results show that influence of the production factors toward Indonesia economic growth is strongly. This researchs aim to knowledge a large the contribution of production factors on Indonesian Economic growth.

scholarly journals Fraud Pentagon Model for Detecting Fraudulent Financial Reporting in Banking Sector

2020 ◽  
Vol 8 (6) ◽  
pp. 2832-2838
Keyword(s):  
Financial Reporting ◽  
Banking Sector ◽  
Influencing Factor ◽  
Secondary Data ◽  
Least Square ◽  
Fraudulent Financial Reporting ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Section Data ◽  
Recent Trends

Many discussions and opinions of experts who produce endangement or tools to detect the possibility of fraud in reporting financial performance. One of the most recent trends is the Pentagon fraud approach. Pentagon is a form that has five sides, there are five categories of causes of fraud in pentagon fraud, namely: pressure, opportunity, rationalization, competence and arrogance. Our research takes samples from banks, because the sector is the most common case of fraud. We made this quantitative secondary data-based research to have written evidence for reference in banking sectors. We use cross section data from 2016 year ends up to 2018. We own 35 samples from three years period, the total of 105 samples. We use ordinary least square using nine independent variables and one dependent variable. After conducting this research, we found that opportunity is the most influencing factor for company in banking sector to do fraud. While the others factor has no significant effect.

scholarly journals Determinants of Household Debt in Malaysia from the year 2010 to 2017

2019 ◽  
Vol 5 (2) ◽  
pp. 91
Author(s):  
Zahariah Mohd Zain ◽  
Nurul Ainun Ahmad Atory Ahmad Atory ◽  
Sarah Amirah Hanafi
Keyword(s):  
Positive Relationship ◽  
Negative Relationship ◽  
Housing Price ◽  
Least Square ◽  
Household Debt ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Lending Rate

Household debt has become an issue in the Malaysian economy as it affects the country socially and economically.This study aims to examine the determinants of household debt from the year 2010 until 2017. This study employs the Ordinary Least Square (OLS) method and the macroeconomic variables used in this study are Gross Domestic Product (GDP), base lending rate, unemployment and housing price as independent variables. The results indicate that the trend of household debt in Malaysia has shown a continuous rise from the year 2010 to 2017. GDP, base lending rate and housing price indicate a positive relationship towards household debt while unemployment shows a negative relationship to household debt in Malaysia. All explanatory variables have shown a significant relationship except for GDP. Housing price has been found to be the most significant factor and positively related to household debt. The findings indicate that the higher the price of houses, the higher the household debt will be.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO DAN SBI TERHADAP PENERIMAAN PAJAK DI INDONESIA

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Rahmanta Ginting
Keyword(s):  
Time Series ◽  
Research Result ◽  
Least Square ◽  
Domestic Product ◽  
Tax Revenue ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Dependent Variables ◽  
Negative Effect ◽  
Positive Effect

The research to analyse effect net domestic product and SBI on tax revenue in Indonesia with independent variables  net domestic product and SBI also dependent variables tax revenue. Data is a time series between 1981 - 2010 with ordinary least square (OLS) and the model of formula used is multiply linier regression.  The research result shows that net domestic product gives a positive effect and significant on tax revenue in Indonesia on 99% level. While SBI has a negative effect and significant on tax revenue in Indonesia on 90% level.

Determinants of financial literacy in rural India: A study of Aligarh district

2021 ◽  
pp. 2150009
Author(s):  
N. P. Abdul Azeez ◽  
S. M. Jawed Akhtar
Keyword(s):  
Financial Literacy ◽  
Financial Services ◽  
Service Providers ◽  
Social Groups ◽  
Multiple Regression Model ◽  
Least Square ◽  
Rural India ◽  
Rural People ◽  
Ordinary Least Square ◽  
Independent Variables

What drives rural people to use financial services and products is a critical step in the journey towards financial inclusions. The financial service providers and policymakers have engaged with this challenge by seeking insights into the socio, economic, demographic and cultural factors that prompt people to be aware and learn about financial services and products, try them out, and use them over time. The determinants of financial literacy focus more sharply on the socio-economic demographic factors, and have used ordinary least square, multiple regression model. This model determines how various independent variables namely age, gender, income, religion, social groups, family size, marital status, educational level, occupation, etc. significantly influence financial literacy of the respondents.

scholarly journals Efisiensi Faktor - Faktor Produksi Usaha Tani Ubi Kayu di Kabupaten Pati

2018 ◽  
Vol 1 (3) ◽  
pp. 191-199
Author(s):  
Azka Fadlli ◽  
Prasetyo Ari Bowo
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Analytical Method ◽  
Production Factor ◽  
Land Area ◽  
Price Efficiency ◽  
Independent Variables ◽  
Fertilizer Production ◽  
Production Factors ◽  
Factors Of Production

Harvest area and production of cassava in Pati Regency at 2014 are enhancement, but productivity of cassava has decrease.The purpose of this study to determine the technical efficiency, price efficiency and the economic efficiency of the use of factors of production in cassava farming in Pati regency. The independent variables in this study are land area, labor, fertilizer, and seed. While the production of cassava as the dependent variable. The analytical method used is the analysis of technical efficiency, price efficiency and economic efficiency with software frontier 41c tools. The results showed that the use of factors of production in cassava farming in Pati regency yet achieved technical efficiency, price efficiency and economic efficiency. The advice can be given is the use of production factors in the cultivation of cassava in Pati regency can be combined and optimized through the addition of production factors of labor and seedlings, as well as reducing fertilizer production factor. Luas Panen dan produksi ubi kayu di Kabupaten tahun 2014 mengalami peningkatan, tetapi produktivitas ubi kayu mengalami penurunan.Tujuan penelitian ini untuk mengetahui efisiensi teknis, efisiensi harga dan efisiensi ekonomi penggunaan faktor-faktor produksi pada usahatani ubi kayu di Kabupaten Pati. Variabel independen dalam penelitian ini adalah luas lahan, tenaga kerja, pupuk dan bibit, sedangkan produksi ubi kayu sebagai variabel dependen. Metode analisis yang digunakan adalah analisis efisiensi teknis, efisiensi harga dan efisiensi ekonomi dengan alat bantu software frontier 41c. Hasil penelitian menunjukkan bahwa penggunaan faktor-faktor produksi pada usahatani ubi kayu di Kabupaten Pati belum tercapai efisiensi teknis, efisiensi harga dan efisiensi ekonomi. Saran yang dapat diberikan yaitu penggunaan faktor-faktor produksi pada usahatani ubi kayu di Kabupaten Pati dapat dikombinasikan dan dioptimalkan melalui penambahan faktor produksi tenaga kerja dan bibit, serta mengurangi faktor produksi pupuk.

scholarly journals Determinant Attributes of Customer Choice of Banks, Supplying Mortgage Products

2012 ◽  
Vol 4 (5) ◽  
pp. 287-296
Author(s):  
Irfan Ahmed ◽  
Shahid Mahmood . ◽  
Umar Farooq .
Keyword(s):  
Confidence Level ◽  
Least Square ◽  
Quality Of Services ◽  
Customer Choice ◽  
Ols Regression ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Correlation Techniques

The present study focuses on finding out the main attributes that determine the customer’s choice of bank for supplying the mortgage products. The data has been gathered through questionnaires from 400 customers using mortgage products of different banks. Reviewing the literature four variable are taken for study to determine the dependent variable customer choice of banks using mortgage products and they include cost of bank, quality of services, confidence of customer in bank and convenience of customer using mortgage product. Results were analyzed using ordinary least square (OLS) regression and correlation techniques and findings of the data have been tested which appeared as significant statistically. The results indicated that choice of customers for the mortgage product depends on all the independent variables like quality of services, cost of mortgage product, confidence level of customers build by the bank and convenience of the customers. Further analysis can be done on exploring more independent variables, which are important for customers in choosing a bank providing mortgage products.

scholarly journals PENGARUH KOMPETENSI DAN KOMPENSASI TERHADAP KINERJA KARYAWAN

2020 ◽  
Vol 3 (1) ◽  
pp. 58-67
Author(s):  
Yadi Maryadi ◽  
Yulia Misrania
Keyword(s):  
Regression Coefficient ◽  
Employee Performance ◽  
Regression Equation ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Hotel Employees ◽  
Independent Variable ◽  
The City

This study aims to determine the effect of Competence and Compensation on Employee Performance (Case Study on Hotel Employees in the city of Pagar Alam). By using primary data and secondary data, this research uses the Ordinary Least Square method. The results of this study are the findings of the influence of Compensation and Compensation on Employee Performance (Case Study on Hotel Employees in the City of Pagar Alam) can be explained as follows. Based on the Regression analysis in the table above, the constant value α = 38,868 and coefficient b1 =. 083 and b2 = .396, so that the multiple linear regression equation is: Y = 38.868+ 0.083X1 + 0.396X2. The regression equation that has been obtained can be used to predict the value of the independent variable and the dependent variable, as follows: A constant value of 38,868 means that if all independent variables are zero, then the performance of hotel clerks in the city of Pagar Alam is valued at 38,868. Competence (X1) has a regression coefficient of .083 meaning that each increase in Competency by 1 unit then the performance of hotel employees increases by .083 assuming the other factors remain. Compensation (X2) has a regression coefficient of .396 meaning that each increase in compensation is 1 unit, the performance of hotel employees increases by .396. From the determination coefficient table above, it can be seen that the R Square figure is 0.931. This means that the influence between the independent variables with the dependent variable is 93.1% while the remaining 6.9% is influenced by other factors outside the regression model analyzed. From these figures it can be concluded that the influence of the independent variable with the dependent variable is very strong.   Penelitian ini bertujuan untuk mengetahui pengaruh Kompetensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam). Dengan menggunakan data primer dan data skunder penelitian ini menggunakan metode Regresi Linear Sederhana (Ordinary Least Square). Adapun hasil Penelitian ini adalah Hasil temuan mengenai pengaruh Komptensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam) dapat dijelaskan sebagai berikut. Berdasarkan analisis Regresi pada tabel diatas didapatkan  nilai konstanta α = 38.868 dan koefisien b1 = . 083  dan b2 = .396, sehingga persamaan regresi linier berganda adalah :  Y =  38.868+ 0.083X1 + 0.396X2. Persamaan regresi yang telah diperoleh dapat dipergunakan untuk memprediksi nilai variabel independen dan variabel dependen yaitu sebagai berikut : Nilai konstanta sebesar 38.868 artinya bahwa jika semua variabel independen benilai nol, maka kinerja kayawan hotel di kota Pagar Alam bernilai sebesar 38.868. Kompetensi (X1) mempunyai koefisien regresi sebesar .083 artinya setiap kenaikan Kompetensi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .083 dengan asumsi faktor-faktor yang lain tetap. Kompensasi (X2) mempunyai koefisien regresi sebesar .396 artinya setiap kenaikan kompensasi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .396. Dari tabel koefisien determinasi di atas, dapat dilihat bahwa angka R Square sebesar 0.931. Hal ini berarti pengaruh antar variabel independen dengan variabel dependen sebesar 93,1% sedangkan sisanya sebesar 6,9% dipengaruhi oleh faktor-faktor lain di luar model regresi yang dianalisis. Dari angka tersebut dapat diambil kesimpulan bahwa pengaruh antara variabel independen dengan variabel dependen sangat kuat.

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