scholarly journals A COMPARISON OF M-ESTIMATION AND S-ESTIMATION ON THE FACTORS AFFECTING IR DHF IN EAST JAVA IN 2017

2021 ◽  
Vol 16 (3) ◽  
pp. 349
Author(s):  
Mardiana Mardiana ◽  
Arief Wibowo ◽  
Mahmudah Mahmudah ◽  
Pipit Festi W
Keyword(s):  
Population Density ◽  
Robust Regression ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
Living Environment ◽  
Least Square ◽  
Observational Research ◽  
Healthy Behavior ◽  
M Estimation ◽  
The Government

ABSTRACTRobust regression on M estimation and S estimation is the Ordinary Least Square (OLS) regression on the data outlier. East Java is one of the provinces in Indonesia with a high case fatalitiy rate (1.34%). The raising of  Dengue Haemoragic Fever (DHF) in East Java has been influenced by climate, population density, human behavior, and environmental sanitation. This study aimed to compare robust regression research by using M estimation and  S estimation on the factors that affect IR DHF. This was done to get the best model regression on the data outlier based on the biggest R2 adjusted and the smallest MSE. This study utitlized observational research with a non-reactive research design using secondary data. The independent variable consisted of population density, healthy behavior, healthy living environment house, and precipitation in East Java in 2017. The dependent variable was incident rate of DHF in 2017. The population included 38 regencies in East Java, while the sample was 35 regencies/cities selected using simple random sampling. The analysis used robust regression on M estimation and S estimation weighting by Tukey’s Bisquare. Robust regression on S estimation was found to be the best robust regression on data outlier with R2 adjusted (0.996) and MSE (0.229). Robust regression on S estimation  was = 54.826 + 0.011 (population density) – 0.136 (% healthy behavior) - 0,404 (% healthy house ) - 0,005 (precipitation).Some factors that affect IR DHF can be the main focus for the prevention and control of DHF for the government and society.  Keywords: robust regression, outlier, estimation, estimation, DHF

scholarly journals ANALISIS KAJIAN SOSIAL EKONOMI PEMBANGUNAN DAN PERLUASAN TOSERBA “ X ”

2018 ◽  
Vol 2 (2) ◽  
pp. 66-89
Author(s):  
Desfitriady Desfitriady ◽  
Tatang Kusmayadi
Keyword(s):  
Random Sampling ◽  
Research Method ◽  
Sampling Method ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
Research Data ◽  
Qualitative And Quantitative ◽  
The Government ◽  
The Village ◽  
Descriptive Method

The purpose of this study is to know and understand the community in the Village Sayati Margahayu District Bandung regency with the development and extension of department store (Convenience Store) "X". The research method is descriptive method using qualitative and quantitative approach as the basis of analysis and interpretation. Sample determination technique used is cluster with simple random sampling method and purposive sampling, which means that the sample used in accordance with the purpose of research. Data which is primary and secondary data. The results showed that people responded positively and variedly about the decision to the extension of the "X" Stores, and only a small portion would be used, but it was only up to the government.

scholarly journals Pengaruh Penyesuaian Harga Jual Bahan Bakar Minyak (BBM) Tehadap Konsumsi BBM dan Inflasi

2020 ◽  
Vol 4 (2) ◽  
pp. 165-182
Author(s):  
Aep soleh Soleh
Keyword(s):  
Inflation Rate ◽  
Secondary Data ◽  
Mineral Resources ◽  
Substitution Effect ◽  
Least Square ◽  
Fuel Price ◽  
Ordinary Least Square ◽  
Price Increases ◽  
The Government ◽  
The Impact

This study investigates the impact of fuel price adjusment on changes in fuel consumption and inflation in Indonesia. This study uses secondary data obtained from the Ministry of Energy and Mineral Resources, the Ministry of Finance, the Ministry of Trade, Bank Indonesia, the Central Bureau of Statistics (BPS), and PT Pertamina (Persero) from 2006 to 2016 and analyzed by using Ordinary Least Square (OLS) method. Research showed, if the government increases Premium Gasoline's price by 10%, in average its consumption would decrease around 2,99 %. However, if the Pertamax Gasoline's price increases, the consumption of Premium Gasoline would also increase due to substitution effect. Every 10% increase in Subsidized Diesel's price, in average its consumption would decrease around 4,80 % and vice versa. However, if the Pertamina dex's price increases, the consumption of Subsidized Diesel would also increase due to substitution effect. Moreover, IDR1.000/L increase in Premium Gasoline's Price would contribute 1,10 % to the inflation rate. On the other hand, increase in Subsidized Diesel's price does not contribute to the inflation rate.

Robust Weighted Least Squares Estimation of Regression Parameter in the Presence of Outliers and Heteroscedastic Errors

2014 ◽  
Vol 71 (1) ◽  
Author(s):  
Bello Abdulkadir Rasheed ◽  
Robiah Adnan ◽  
Seyed Ehsan Saffari ◽  
Kafi Dano Pati
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Robust Regression ◽  
Weighted Least Squares ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Model Parameters ◽  
Constant Variance ◽  
Regression Parameters ◽  
M Estimation

In a linear regression model, the ordinary least squares (OLS) method is considered the best method to estimate the regression parameters if the assumptions are met. However, if the data does not satisfy the underlying assumptions, the results will be misleading. The violation for the assumption of constant variance in the least squares regression is caused by the presence of outliers and heteroscedasticity in the data. This assumption of constant variance (homoscedasticity) is very important in linear regression in which the least squares estimators enjoy the property of minimum variance. Therefor e robust regression method is required to handle the problem of outlier in the data. However, this research will use the weighted least square techniques to estimate the parameter of regression coefficients when the assumption of error variance is violated in the data. Estimation of WLS is the same as carrying out the OLS in a transformed variables procedure. The WLS can easily be affected by outliers. To remedy this, We have suggested a strong technique for the estimation of regression parameters in the existence of heteroscedasticity and outliers. Here we apply the robust regression of M-estimation using iterative reweighted least squares (IRWLS) of Huber and Tukey Bisquare function and resistance regression estimator of least trimmed squares to estimating the model parameters of state-wide crime of united states in 1993. The outcomes from the study indicate the estimators obtained from the M-estimation techniques and the least trimmed method are more effective compared with those obtained from the OLS.

scholarly journals The Efficiency of Farmers Group Association on Strengthening The Institutions of Community Food Distribution Program Stage in Yogyakarta Special Region 2014

2017 ◽  
Vol 2 (1) ◽  
pp. 035
Author(s):  
Eny Ivan's ◽  
Jangkung Handoyo Mulyo ◽  
Dwidjono Hadi Darwanto
Keyword(s):  
Secondary Data ◽  
Food Distribution ◽  
Least Square ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
The Government ◽  
Agriculture And Food ◽  
Group Association ◽  
Special Region

In protecting and empowering the farmers, farmers group, and farmers group association (Gapoktan) from falling prices of grain and rice at harvest time and food accessibility problems, the government through the Ministry of Agriculture and Food Security Agency implemented the Strengthening the Institutions of Community Food Distribution Program (Strengthening-LDPM). This research was aimed to analyse the level of efficiency and to identify factors influencing the efficiency of Gapoktan in implementing the Strengthening-LDPM by involving 40 Gapoktan post-independence. The data used in this research were primary and secondary data, drawn from stockopname reports in 2014. This research used DEA (Data Envelopment Analysis) analysis, assuming that CRS (Constant Return to Scale) and VRS (Variable Return to Scale) using output-oriented assumptions. In addition, factors affecting the efficiency were analysed using multiple regression OLS (Ordinary Least Square). Based on DEA-CRS approach, as much as 37.5% Gapoktan were efficient and 62.5% Gapoktan were inefficient. Whereas with the approach of the DEA-VRS, 50% Gapoktan were efficient and 50% Gapoktan were inefficient. The average age of Gapoktan board, total volume of grain or rice sales, total volume of food reserve, and total loan interest affect significantly in increasing the efficiency of Gapoktan in running the strengthening-LDPM Program.

scholarly journals The Effect of Productivity and Innovation on the Competitiveness of Batik SMEs in West Java Indonesia

2019 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Yana Hendayana ◽  
Suryana Suryana
Keyword(s):  
Small And Medium Enterprises ◽  
Simple Random Sampling ◽  
Jel Classification ◽  
Partial Least Square ◽  
Least Square ◽  
West Java ◽  
Production Methods ◽  
The Past ◽  
The Government ◽  
Medium Enterprises

Objective - This research aims to test the effect of productivity and innovation toward competitiveness of batik SMEs in West Java. Methodology/Technique - The study uses Partial Least Square (PLS) for data analysis, as well as an explanatory method and simple random sampling. Findings - The results of the data testing show that competitiveness is effected by productivity and innovation by 71.7%. Novelty - The objective of this study is to analyse the gap in productivity and innovation and its effect on the competitiveness of batik SMEs in West Java Indonesia. Batik centre in West Java was developed by the government in collaboration with the private sector to increase the level of production of batik SMEs. In reality, there is a gap in productivity between written batik and stamped batik. Written batik design innovations and production methods need to be improved to compete and survive in the batik industry. Porter (1995:5) describes competition as the core of the success or failure of firms. Productivity of written batik has declined in the past 5 years. From recent BPS data, processed by the Pusdatin Ministry of Industry 2017, the industry has declined by around 10% per year between 2012 and 2017. Type of Paper: Empirical. Keywords: Productivity; Innovation; Competitiveness; Batik; Small and Medium Enterprises. JEL Classification: M10, M11, M19.

scholarly journals FAKTOR-FAKTOR PERMINTAAN DAN KESEDIAAN MEMBAYAR WISATAWAN TERHADAP OBJEK WISATA BERDASARKAN TRAVEL COST METHOD

2019 ◽  
Vol 6 (1) ◽  
pp. 50-67
Author(s):  
Rosminiati Rosminiati ◽  
Sofyan Syahnur ◽  
Abubakar Hamzah
Keyword(s):  
Secondary Data ◽  
Maximum Level ◽  
Travel Cost ◽  
Least Square ◽  
Primary Data ◽  
Travel Cost Method ◽  
Large Contribution ◽  
Travel Costs ◽  
Independent Variables ◽  
The Government

AbstractThis study aims to determine the factors that influence the number of domestic and foreign tourist visits and to measure the value of willingness to pay for the benefits of tourism objects in Banda Aceh by using the Travel Cost Method Approach. The type of data used is primary and secondary data. Primary data obtained by non-probability sampling, obtained as many as 30 domestic tourists and foreign tourists as many as 30 people, with the method of analysis of ordinary least square (OLS). Secondary data was obtained from the Central Statistics Agency, Tourism Office and other study literature. The results showed that for domestic tourists, the independent variables on travel costs, alternative costs, time costs, and income had significant effect on the number of domestic tourist visits with an R² value of 0.690. In foreign tourists, the independent variables of travel costs, alternative costs, and income have a significant effect on the number of visits, while the cost of time has no effect on the value of R² 0.693. The average value of WTP of foreign tourists is greater than that of domestic tourists, namely domestic tourists with a WTP of 4,000,000 rupiahs while foreign tourists are 217,000,000 rupiah. Given the large contribution of tourism to the economic conditions in Indonesia, especially in Aceh, the government should maintain and pay attention to the conditions of tourism objects and improve tourism facilities so that tourists reach the maximum level of utility so that it will increase the value of PAPs.

scholarly journals Persepsi warga mengenai perilaku hidup bersih dan sehat di Dusun Kebonan, Semarang

2017 ◽  
Vol 30 (3) ◽  
pp. 229
Author(s):  
Aprillia Vanessha Mailoa ◽  
Maria Dyah Kurniasari ◽  
Tesabela Sanfia Messakh
Keyword(s):  
Secondary Data ◽  
Living Environment ◽  
Primary Data ◽  
Government Programs ◽  
Healthy Behavior ◽  
Central Java ◽  
Department Of Health ◽  
Local Residents ◽  
Data Validity ◽  
The Times

Kebonan Village, Semarang Regency, Central Java is the region with the highest number of diarrhea cases. Based on the profile of Puskesmas Regency/City Semarang in 2014, there were 84 findings of diarrhea cases. The initial observation revealed that living environment in Kebonan village was not hygiene. Most of the times, the ditch loaded by garbage, the food often surrounded by flies, people often do not wash their hands after completing their daily activities, and there are houses that still have no latrines. These behaviors were not in accordance with the Clean and Healthy Behavior, thus estimated as the main cause of high cases of diarrhea in Kebonan. This situation was in opposition with Government socialization to local residents about Clean and Healthy Behavior (Perilaku Hidup Bersih dan Sehat/PHBS). Therefore, the problem identified in this research is the failure of government programs through the Department of Health in disseminating the importance of PHBs which resulting in the high number of diarrhea. The aim of this study is to describe the perception of citizens about the PHBS in Kebonan Village, Semarang. This study used the qualitative method with the descriptive design. Researcher employs primary and secondary data. Primary data collected through in-depth interviews with residents of Kebonan, while secondary data was gathered through observations. Data validity was further tested through member-checking method. The research concludes that the perception of Kebonan residents on PHBs are divided into three aspects: realizing the physical and environmental cleanliness, who is responsible for realizing PHBs, and constraints in realizing PHBS. Citizen roles to keep the environment clean, manage domestic waste, use a proper toilet, washing hand and bathing, and keeping female organ hygiene are essential in creating a good and clean living environment.

Government Expenditure on Infrastructure as a Driver for Economic Growth in Nigeria

2020 ◽  
Vol 5 (2) ◽  
pp. 20-26
Author(s):  
Amadi Kelvin Chijioke ◽  
Alolote Ibim Amadi
Keyword(s):  
Economic Growth ◽  
Natural Resources ◽  
Government Spending ◽  
Government Expenditure ◽  
Secondary Data ◽  
Least Square ◽  
Vector Error Correction ◽  
Inverse Effect ◽  
Augmented Dickey Fuller ◽  
The Government

This study primary examines the effects of government infrastructural expenditure on economic development in Nigeria. Secondary data sourced from reported annual spending on selected infrastructure and annual Gross Domestic Products were statistically analyzed. The data treatments used for the secondary data were unit root and co-integration tests using Augmented Dickey–Fuller and Phillip–Perron model. Weighted least square was also used to test the sample of 37-year annual time series using vector error correction model. The data analysis was done with descriptive statistics. Findings from the study revealed that government spending on transport, communication, education and health infrastructure have significant effects on economic growth; spending on agriculture and natural resources infrastructure recorded a significant inverse effect on economic growth in Nigeria. An element of fiscal illusion was observed in the government spending on agriculture and natural resources indicating that government is not contributing as much as the private sector in spending on agriculture and natural resources infrastructure in Nigeria.

scholarly journals Agricultural Sub-Sectors Performance: An Analysis of Sector-Wise Share in Agriculture GDP of Pakistan

2016 ◽  
Vol 8 (2) ◽  
pp. 156 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Jiang Yuansheng ◽  
Habibullah Magsi
Keyword(s):  
Secondary Data ◽  
Least Square ◽  
Model Parameters ◽  
Ordinary Least Square ◽  
Empirical Results ◽  
Independent Variables ◽  
Minor Crops ◽  
The Government

This study focused on the agricultural sub-sectors performance: an analysis of sector-wise share in agriculture GDP in Pakistan by using secondary data from 1998 to 2015. Ordinary Least Square (OLS); an econometric method was applied to estimate the model parameters. For this purpose the study considered dependent variable of agriculture GDP and several independent variables were contain major, minor crops, livestock and forestry. The empirical results indicate that agricultural sub-sectors contribute positively and significantly in the agriculture GDP. However, forestry sub-sector had expected sign but the variable was not significant. In agriculture, forestry sub-sector share was considered very poor compared with other sub-sectors could be due to less attention paid from the government. The results suggest that the Government of Pakistan should make some intervention in the agricultural sub-sectors by introducing innovative agriculture technologies that could improve the sub-sectors share in the overall agriculture GDP.

scholarly journals Pengaruh Dana Zakat Terhadap Pembangunan Manusia Di Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 174-185
Author(s):  
Mudita Sri Karuni
Keyword(s):  
Human Development ◽  
Access To Health Care ◽  
Secondary Data ◽  
Least Square ◽  
Analysis Tool ◽  
Health Care Education ◽  
The People ◽  
The Government ◽  
Development Outcomes ◽  
Muslim Communities

The problem of poverty in Indonesia is the manifestation of the powerlessness of the people in accessing state development outcomes. Meanwhile, the development outcome done by the government is only enjoyed by a handful of people because the resource is not equitably distributed. Therefore, the role of zakat is needed to give direct fund to redistribute the wealth, so that human development can be realized. This research aimed to give the empirical result on whether zakat has an influence on human development in Indonesia. This research used the Human Development Index (HDI) indicator as an analysis tool, such as life expectancy, mean year school, and income. Hypotheses testing conducted in 15 years (2004-2018). Data used in this study is secondary data collected by the documentation method. From the regression analysis of Ordinary Least Square (OLS), it is found that zakat can increase human access to health care, education, and can raise revenues. This study provided implication for governments, zakat institutions, and Muslim communities who are obligated to pay zakat, in order to synergize the optimization of zakat funds in Indonesia.

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