scholarly journals Analisis Pengaruh Bantuan Sosial PKH Dan Sembako Terhadap Tingkat Kesejahteraan Masyarakat Ditengah Pandemic Covid 19 Di Kabupaten Barito Utara

2020 ◽  
Vol 4 (02) ◽  
pp. 57-65
Author(s):  
Nor Arapah
Keyword(s):  
Social Assistance ◽  
Secondary Data ◽  
Social Needs ◽  
Least Square ◽  
Analysis Tool ◽  
Electronic Money ◽  
Social Functions ◽  
Assistance Program ◽  
The Family ◽  
The Government

The purpose of this study was to analyze the effect of social assistance from the Family Hope Program and the Basic Food Program on the level of community welfare amid the COVID-19 pandemic in North Barito Regency. The Family Hope Program is assistance provided by the government to beneficiary families as a subsidy for household expenses for education and health. Meanwhile, the Sembako Program is food social assistance distributed in non-cash form from the Government to Beneficiary Families (KPM) every month through an electronic money mechanism. The basic food assistance program funds are used only to buy food items that have been determined for the Staple Food program in e-warong and cannot be collected in cash. Social Welfare is a condition for the fulfillment of the material, spiritual and social needs of citizens in order to live properly and be able to develop themselves so that they can carry out their social functions. The data used in this study are secondary data, while the analysis tool uses multiple linear regression. The analytical method used is Ordinary Least Square (OLS). The results showed that PKH and program assistance had a very significant effect (α = 1%) on improving the welfare of beneficiary households amid the COVID-19 pandemic in North Barito Regency.

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.

scholarly journals PEMETAAN PERMASALAHAN PENYALURAN BANTUAN SOSIAL UNTUK PENANGANAN COVID-19 DI INDONESIA

2020 ◽  
Vol 2 (1) ◽  
pp. 90-102
Author(s):  
Wildan Rahmansyah ◽  
Resi Ariyasa Qadri ◽  
RTS Ressa Anggia Sakti ◽  
Syaiful Ikhsan
Keyword(s):  
Distribution System ◽  
Central Government ◽  
Social Assistance ◽  
Secondary Data ◽  
Private Institutions ◽  
Assistance Program ◽  
Assistance Programs ◽  
Root Cause ◽  
The Social ◽  
The Government

This study aims to investigate the problem mapping on social aid distribution in Indonesia for COVID-19 handling. The administration of social assistance program by the Government has been executed for 6 months yet confusing and slow to be accepted by the society. This research implemented the literature and social media review as methodology of research by giving a meaning towards secondary data. The result of this study provided a problem mapping and unveiling the problem root cause cause regarding various social assistance programs conducted by the Government. The result of this study suggested that there are several social assistance problems identified consisting of the issues of budget allocation in different ministries, unintegrated recipient data issues, and problems of the social assistance distribution system. This study implies that the government should take cooperation, coordination and harmonization between the central government, the district, and private institutions to be precise, effective and efficient and supported by a good system, integrated, transparent and accountability in the distribution of the social aid. . Penelitian ini dilakukan untuk melakukan pemetaan permasalahan penyaluran bantuan sosial oleh pemerintah. Pemberian bantuan sosial tersebut sudah dilakukan selama 6 bulan tetapi terkesan membingungkan, lambat diterima oleh masyarakat dan tidak tepat sasaran. Penelitian ini menggunakan metode penelitian kualitatif berbasis studi literatur, yaitu metode riset yang berorientasi pada pengumpulan data sekunder dari berbagai sumber untuk dikembangkan menjadi suatu pengetahuan baru. Hasil dari penelitian ini berupaya memberikan gambaran mengenai peta permasalahan dan penyebab utama dari berbagai carut marut permasalahan program bantuan sosial pemerintah dalam rangka penanganan COVID-19. Permasalahan peyaluran bantuan sosial yang terjadi antara lain yaitu masalah alokasi anggaran ditiap kementerian berbeda, masalah data penerima bantuan yang tidak terintegrasi, dan masalah sistem penyaluran bantuan sosial tersebut. Implikasi dari peneltian ini adalah dibutuhkan kerjasama, koordinasi dan harmonisasi antara pemerintah pusat, daerah, dan lembaga swasta agar tepat sasaran, efektif dan efisien serta didukung oleh sistem yang baik, terintegrasi, transparan dan akuntabilitas dalam penyaluran bansos tersebut.

scholarly journals Pengaruh PKH dan BPNT terhadap Kemiskinan dengan Pertumbuhan Ekonomi Sebagai Variabel Moderasi

2021 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Lilik Rodhiatun Nadhifah ◽  
Nur Huri Mustofa
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Social Assistance ◽  
Secondary Data ◽  
Series Data ◽  
Assistance Program ◽  
Cash Assistance ◽  
Significant Negative Effect ◽  
The Family ◽  
Negative Effect

This research is motivated by the number of poverty in Pucakwangi which is still quite high and deserves to receive Social Assistance. The purpose of this study was to determine the effect of the Family Hope Program (PKH), and the Non-Cash Assistance Program on poverty in Pucakwangi District with economic growth as a moderating variable. This research is a quantitative research with secondary data from related institutions such as BPS, Social Service, and Social Assistance Institutions. The data used is Time series data from 2018-2020. The population of this study is the entire Pucakwangi community receiving the Social Assistance Program for PKH and BPNT from 20 villages. By taking samples by means of purposive sampling from 20 audited villages multiplied quarterly to get a sample of 80. The analytical tool used is Eviews. The results showed that the Family Hope Program had a significant negative effect on poverty. The non-cash assistance program has a negative and significant effect on poverty. The hopeful family program which moderated economic growth had no significant negative effect. The Non-Cash Food Assistance Program moderated by economic growth has an insignificant negative effect.

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.

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 Analisa Kelayakan Penerima Program Keluarga Harapan (PKH) Menggunakan Algoritma C4.5

2021 ◽  
Vol 6 (1) ◽  
pp. 217
Author(s):  
Muhammad Amirsyah Tanjung ◽  
Poningsih P ◽  
Hendry Qurniawan
Keyword(s):  
Vehicle Ownership ◽  
Data Mining Technique ◽  
Assistance Program ◽  
Mining Technique ◽  
Poor Households ◽  
The Family ◽  
C4.5 Algorithm ◽  
The Government ◽  
To Receive ◽  
Disadvantaged Families

In overcoming the problem of poverty, the Government implements the Family Hope Program (PKH) which is a program assistance that provides assistance (subsidies) in cash to poor households as long as they meet the requirements set out in the program. The purpose of this study is to determine whether the family is still eligible or not receive the Family Hope Program (PKH) assistance, where there are many other disadvantaged families who have not had the opportunity to receive this assistance program. Sources of data obtained from the Martoba Village Head Office. The method used in the study is a data mining technique with the C4.5 algorithm which is implemented with the RapidMiner application. The attributes used in determining the family's eligibility are still feasible or not receiving assistance from this assistance program, namely income, number of family dependents, vehicle ownership and residence status. The results of the classification algorithm C4.5 and testing with Rapid Miner software, it is found that the factor that most influences the eligibility of the Family Hope Program (PKH) recipients is the number of stages (C1) with an acquisition value of 0.51827179

scholarly journals Model Kemandirian Masyarakat dalam Upaya Pemberdayaan Sosial melalui Program PKH di Kota Surabaya

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Kokoh Prasetyo ◽  
Ertien Rining Nawangsari ◽  
Johan Vivaldi Alex Sander
Keyword(s):  
Basic Principle ◽  
Large Population ◽  
Secondary Data ◽  
Poverty Rate ◽  
Data Sources ◽  
Primary Data ◽  
The Family ◽  
The Government ◽  
Social Empowerment ◽  
The City

Indonesia is a country that has quite a large population, one of which is the largest population in the city of Surabaya as a metropolis. With this large number of people, the poverty rate for families in the community is high, so the government provides a program to break the poverty chain, the Family Hope Program (PKH). The purpose of this study is to determine the implementation of social empowerment in the city of Surabaya through the family hope program that can make the community / beneficiary socially and economically independent life and measure the family hope program as a manifestation of community independence. This study used descriptive qualitative method. Data sources consist of primary data and secondary data. Primary data sources were obtained from observations and interviews. Data processing is done through the process of data reduction, data presentation, and conclusion checking or verification. The analysis used in this research is to use the basic principle model of community independence. The results of this study, show that social empowerment through the family of hope program by using a model of community independence is still not going well to create an economically and socially independent community. This can be seen from the data of the community / beneficiaries can live independently after receiving a family of hope program. Through the basic principle model of community independence from Sunyoto Usman (2003) which includes: creating climate, strengthening power, and protecting.Keywords: Human Development Index, Social Empowerment,Welfare

scholarly journals Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Model Beneish Ratio Index

2020 ◽  
Vol 7 (02) ◽  
pp. 235-246
Author(s):  
Nurina Prawinin Tyas ◽  
Nurmala Ahmar ◽  
M. Ardiansyah Syam
Keyword(s):  
Financial Distress ◽  
Quality Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Growth Index ◽  
Sales Growth ◽  
Gross Margin ◽  
The Family ◽  
The Government ◽  
Asset Quality

ABSTRACT        This study aims to test and prove the empirical evidence of the Financial Distress Prediction Model of Family Companies in Indonesia with the Beneish Ratio Index. The sample used in this study is a group of family companies in Indonesia which are listed on the Indonesia Stock Exchange with an observation period of 31 December 2014 to 2018. The research method used is a quantitative method with a survey approach for secondary data. The Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), and Leverage Index (LVGI) variables do not differ in the treatment of the Beneish Model components based on the Financial Distress status of the Family Group Company. Variable Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), and Total Accruals to Total Assets Index (TATA) differ in the treatment of the Beneish Model component based on the Financial Distress status of the Family Company Group. This research contributes to the parties concerned with the prediction of financial distress, such as auditors and the government in assessing the potential for financial distress in the company. ABSTRAK         Studi ini bertujuan untuk menguji dan membuktikan bukti empiris Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Beneish Ratio Index. Sampel yang digunakan dalam penelitian ini adalah Grup perusahaan keluarga di Indonesia yang terdaftar di Bursa Efek Indonesia dengan periode pengamatan 31 Desember 2014 hingga 2018. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan survey untuk data sekunder. Variabel Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), dan Leverage Index (LVGI) tidak ada perbedaan perlakuan komponen Beneish Model berdasarkan status Financial Distress pada Grup Perusahaan Keluarga. Variabel Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), dan Total Accruals to Total Assets Index (TATA) ada perbedaan perlakuan komponen Beneish Model berdasarkan status financial distress pada Grup Perusahaan Keluarga. Riset ini memberikan panduan kepada pihak-pihak yang berkepentingan terhadap memprediksi financial distress yang akan terjadi dalam perusahaan ataupun industri, pihak yang berkepentingan seperti Auditor dan Pemerintahan. JEL Classification : G32, M41

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 Analisis Pertumbuhan Ekonomi Daerah Provinsi Jambi

2018 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Nurdin Nurdin
Keyword(s):  
Economic Growth ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Regression Equation ◽  
Least Square ◽  
Analysis Tool ◽  
Working Population ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Investment Capital

This study uses secondary data collected by the object of research in Jambi Province in the form of factors affecting the economic growth of Jambi Province sourced from the Central Bureau of Statistics (BPS). Data were collected during the period 2004 to 2015. The purpose of this study is to analyze and know what factors affect the economic growth of Jambi Province period 2004-2015. The analytical tool used is this research using econometric analysis tool with Ordinary Least Square (OLS) method with multiple linear regression equation through the aid of SPSS software program. 21:00. Based on the discussion of data analysis results in this study, it can be concluded the result of R-squared calculation shown in the above equation obtained R2 value of 0.989. This shows that about 98.90 percent of the upturned economic growth (Yt) in Jambi Province is influenced by investment variable (X1t), capital expenditure (X2t), working population (X3t), unemployment (X4t) and poverty (X5t). While the remaining 1.10 percent, explained by other variables that are not included into the regression equation. Keywords: Economic Growth, Investment, Capital Expenditure, Working Population, Unemployment And Poverty

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