scholarly journals Penerapan Algoritma Decision Tree Untuk Memprediksi Penerima Bantuan Keluarga Harapan

2020 ◽  
Vol 19 (1) ◽  
pp. 70-76
Author(s):  
Agus Bahtiar ◽  
Parasian DP Silitonga
Keyword(s):  
Data Mining ◽  
Poverty Reduction ◽  
Poor People ◽  
Assistance Program ◽  
Assistance Programs ◽  
The Family ◽  
C4.5 Algorithm ◽  
The Government ◽  
Best Parameter ◽  
To Receive

The Family of Hope Program (PKH) is a poverty reduction program in the education and public health aspects provided by the government either directly or indirectly. The government continues to make efforts in order to educate the community through social assistance programs to tackle the poor. In order to create a smart society, the government should make programs that are empowering so that people can solve their own problems. There are many in Indonesia who receive the family hope program (PKH), one of which is in the Cirebon district. Problems often occur with the empowerment assistance program from the government, one of which is the PKH assistance, which still does not target the residents who receive the assistance. The emergence of this problem, due to the ineffective data verification in determining which citizens are entitled to receive PKH assistance, this has resulted in many very poor people who do not receive PKH assistance and those classified as capable are still given PKH assistance. Therefore, it is necessary to conduct a study of PKH beneficiary data, so that the results of the analysis can be used as a reference for whether or not residents are eligible to receive PKH assistance. The research that was conducted to predict the data of recipients of the expected family assistance using the data mining classification method using the C4.5 algorithm. The results of the data mining process are used as evaluation material for the government. After testing with the C4.5 algorithm, the test results for the best parameter of the C4.5 algorithm are criterion = accuracy, confidence = 0.25 and a minimum gain = 0.1 to produce an accuracy value of 98.30%

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 Pencapaian Program Keluarga Harapan (PKH)

2018 ◽  
Vol 2 (4) ◽  
pp. 525
Author(s):  
Wulandari Wulandari ◽  
Pudji Muljono
Keyword(s):  
Poverty Reduction ◽  
Qualitative Data ◽  
Social Protection ◽  
Survey Method ◽  
Poor People ◽  
Education And Health ◽  
Poor Households ◽  
The Family ◽  
Program Policy ◽  
The Government

One of the main problems of development that experienced by Indonesia at this time is the high number of poor people. In order to accelerate poverty reduction and the development of policy in the field of social protection for families very poor households, the government issued a policy that is Family Hope Program. Family Hope Program is a social assistance that realized by cash, education and health are addressed to very poor households particularly who has a 0-15 years old and pregnant mother/ postpartum. The purpose of this research is to identify the achievement of the Family Hope Program in Tedunan, Kedung district, Jepara regency. This research was conducted with a quantitative approach that is supported by qualitative data. The method used in this research is survey method with 40 respondent.Key words: family hope program , policy, povertyABSTRAKSalah satu masalah utama pembangunan yang dialami oleh Indonesia saat ini adalah tingginya jumlah penduduk miskin. Dalam rangka percepatan penanggulangan kemiskinan sekaligus pengembangan kebijakan di bidang perlindungan sosial bagi keluarga Rumah Tangga Sangat Miskin (RTSM), pemerintah mengeluarkan sebuah kebijakan yaitu Program Keluarga Harapan (PKH). Program Keluarga Harapan adalah bantuan sosial yang diwujudkan dengan bantuan tunai, pendidikan dan kesehatan yang ditujukan kepada Rumah Tangga Sangat Miskin (RTSM) khususnya yang memiliki anak usia 0-15 tahun dan ibu hamil/nifas. Tujuan dari penelitian ini adalah untuk mengidentifikasi pencapaian Program Keluarga Harapan (PKH) di Desa Tedunan, Kecamatan Kedung, Kabupaten Jepara. Penelitian ini dilakukan dengan pendekatan kuantitatif yang didukung dengan data kualitatif. Metode yang digunakan dalam penelitian ini adalah metode survey dengan responden sebanyak 40 orang.Kata kunci: kebijakan, kemiskinan, PKH

scholarly journals Implementasi Kebijakan Penanggulangan Kemiskinan di Kota Medan Dalam Perspektif Ekonomi Politik

PERSPEKTIF ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 543-554
Author(s):  
Muhammad Ardian ◽  
Arief Marizki Purba
Keyword(s):  
Political Economy ◽  
Research Method ◽  
Poverty Reduction ◽  
School To Work ◽  
Drop Out ◽  
Poor People ◽  
Assistance Programs ◽  
Descriptive Research ◽  
The Government ◽  
Traditional Fishing

This research aims to describe and analyze the implementation of the Poverty Reduction Policy in the Perspective of Political Economy in Medan Belawan District, Medan City. The research method used is descriptive research method with a qualitative approach. The results showed that the implementation of poverty reduction policies in Medan Belawan sub-district from the perspective of political economy has been running quite well. The whole series or process of activities starting from the initial socialization, reflecting on poverty, implementing the program, monitoring the program all went quite well. The success of the Poverty Reduction Policy is greatly supported by the effectiveness of the implementing organizations in providing learning, mentoring, independence, for the poor. The obstacle that occurs in the implementation of this policy is that there are still poor people, most of whom are traditional fishing workers who have not received the benefits of assistance programs from the Government. This caused some of their children to drop out of school to work to help their parents.

scholarly journals Pendampingan Program Jalin Matra Feminisasi Kemiskinan Propinsi Jawa Timur Tahun 2015 Di Desa Nglanduk Kec Wungu Kab Madiun

2017 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Nanang Cendriono
Keyword(s):  
Poverty Reduction ◽  
Gender Mainstreaming ◽  
Poor People ◽  
Short Term ◽  
Poor Growth ◽  
Head Of Household ◽  
The Family ◽  
Instrument Control ◽  
The Government ◽  
And Gender

East Java Government is committed to run sustainable development which is centered on society, especially the pro-poor-people (pro-poor growth) and gender mainstreaming. It is stated in the medium-term Region development plan period 2015-2019, with East Java development vision “Jawa Timur Lebih Sejahtera, Berkeadilan, Mandiri, Berdaya Saing, dan Berakhlak” and mission “Makin Mandiri Sejahtera Bersama Wong Cilik”. In order to realize the concept, the government designs a program to take in hand women’s poverty, especially for households in the manner of Kepala Rumah Tangga Perempuan (KRTP) through Feminism Poverty Reduction (FPR) program. The program is not only as a short-term effort to provide assistance to KRTP but also as an ongoing program in order to anticipate poverty trap on KRTP. Desa Nglanduk, based on Basis Data Terpadu (BDT) Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K) is the lowest 10% (decile 1) household welfare with female as the head of household. According to the data, prospective targets KRTP to implementate the Feminism Poverty Reduction (FPR) is as much as 20 households. Therefore, the existence of program assistant will help the process zero in on. The proposal of disbursement Special Financial Assistance Feminism Proverty Reduction Jalin Matra program East Java 2015 became one of instrument control which is expected capable to solve the problems particularly women’s poverty in the family level.

scholarly journals Kombinasi K-NN dan Gradient Boosted Trees untuk Klasifikasi Penerima Program Bantuan Sosial

2020 ◽  
Vol 7 (6) ◽  
pp. 1231
Author(s):  
Elly Firasari ◽  
Umi Khultsum ◽  
Monikka Nur Winnarto ◽  
Risnandar Risnandar
Keyword(s):  
Data Mining ◽  
Social Assistance ◽  
Test Results ◽  
Assistance Program ◽  
Assistance Programs ◽  
Lower Accuracy ◽  
The Social ◽  
Mining Methods ◽  
The Government ◽  
Target Data

<p>Kemiskinan bagi pemerintah Indonesia termasuk masalah yang sulit untuk diselesaikan. Upaya yang dilakukan pemerintah dalam mengatasi kemiskinan di Indonesia yaitudengan  program bantuan sosial meliputiBLT (Bantuan Langsung Tunai), PKH (Program Keluarga Harapan), Raskin (Beras Miskin), dan lain lain. Dalam Pelaksanaan program bantuan sosial saat masih sangat terbatas sehingga dalam penerimaan program bantuan tidak tepat sasaran. Data mining membantu untuk menentukan keputusan dalam memprediksi data di masa yang akan datang. <em>Gradient Boosted Trees</em> dan K-NN merupakan salah satu metode data mining untuk klasifikasi data. Masing-masing metode tersebut memiliki kelemahan. <em>Gradient Boosted Trees</em> menghasilkan nilai persentase akurasi lebih rendah dibanding metode K-NN. Dari permasalahan tersebut maka diusulkan metode kombinasi K-NN dan <em>Gradient Boosted Trees</em> untuk meningkatkan akurasi pada pelaksanaan program bantuan sosial agar tepat sasaran. Metode K-NN, <em>Gradient Boosted Trees,</em> K-NN-<em>Gradient Boosted Trees</em>dilakukan pengujian pada data yang sama untuk mendapatkan hasil perbandingan nilai akurasi. Hasil pengujian membuktikan bahwa kombinasi tersebut menghasilkan nilai persentase yang tinggi dibanding metode K-NN atau <em>Gradient Boosted Trees</em> yaitu 98.17%.</p><p><em><strong>Abstract</strong></em></p><p><em><em>Poverty for the Indonesian government is a problem that is difficult to solve. The efforts made by the government in overcoming poverty in Indonesia are through social assistance programs including BLT (Bantuan Langsung Tunai), PKH (Program Keluarga Harapan), Raskin (Beras Miskin), and others. In the implementation of the social assistance program when it was still very limited, the acceptance of the aid program was not on target. Data mining helps to determine decisions in predicting data in the future. Gradient Boosted Trees and K-NN are data mining methods for data classification. Each of these methods has weaknesses. Gradient Boosted Trees produce lower accuracy percentage values than the K-NN method. From these problems, a proposed method of combination of K-NN and Gradient Boosted Trees is used to improve the accuracy of the implementation of social assistance programs so that it is right on target. The K-NN, Gradient Boosted Trees, and K-NN-Gradient Boosted Trees methods are tested on the same data to get a comparison of the accuracy values. The test results prove that the combination produced a high percentage value compared to the K-NN or Gradient Boosted Trees method that is 98.17%.</em></em></p>

scholarly journals Penerapan Algoritma C4.5 Dalam Klasifikasi Penerima Kartu Keluarga Sejahtera (KKS)

2021 ◽  
Vol 6 (1) ◽  
pp. 171
Author(s):  
Arief Prajoko ◽  
Rahmat Widiya Sembiring ◽  
Saifullah S
Keyword(s):  
Household Income ◽  
Data Mining Technique ◽  
Assistance Program ◽  
Mining Technique ◽  
Head Of Household ◽  
The Family ◽  
Poor Families ◽  
C4.5 Algorithm ◽  
To Receive ◽  
House Building

The purpose of this study is to classify data on families who are entitled to receive a Prosperous Family Card (KKS), because there are still many other poor families who have not had the opportunity to receive this assistance program. Sources of data obtained from the Panghulu Nagori Mekar Rejo office, Bosar Maligas District, Simalungun Regency. The method used in this research is the C4.5 algorithm data mining technique which is implemented with the RapidMiner 5.3 application. The variables used in determining which families are entitled to receive a Prosperous Family Card (KKS) are (1) Occupation, (2) Income of the Head of the Family, (3) Number of Dependents, (4) Highest Education, (5) Condition of the House Building. The results of the classification using the C4.5 algorithm and testing with the Rapidminer software found that the factor that determines the feasibility of providing the Prosperous Family Card (KKS) assistance is C2 (Head of Household Income) with the highest gain value, namely 0.46880137

scholarly journals IMPLEMENTATION OF THE DEVELOPMENT PROGRAM THAT JUST AS THE PRO-POOR GOVERNMENT POLICIES

2017 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Sri Suatmiati
Keyword(s):  
Welfare State ◽  
Poverty Reduction ◽  
Western Europe ◽  
Basic Education ◽  
Development Program ◽  
The State ◽  
State System ◽  
Poor People ◽  
The Government ◽  
The Welfare State

<p>In Several states, social security for citizens is place to protect marginalized groups in order to maintain access to public services are rudimentary, such as services to meet the needs from the perspective of political economy known as basic need. Public welfare provision in the state system includes services in the areas of basic education, health and housing are cheap and good quality, if Necessary, free as in Western Europe is a cluster of countries are quite intense in terms of the welfare state principles. Free education and health is a major concern in Western Europe to get subsidies. The Data agency (BPS) said that the Indonesian population in 2010 income Rp.27,0 million a year. There are poor people Whose population is 80 percent of the population only contributes about 20 percent of GDP. There are the wealthy once or people who enter the category earn more than 30,000 dollars a year, but there are Also people with disabilities living income or $ 2 dollars per day (730 dollars a year), the which are still 100 million people. It means there is a huge gap. The words fair, equitable, wellbeing and prosperity was growing dimmer and the faint sound. This condition shows how there is no equity in income Because there is no strong will to realize the vision for the welfare of society. Impossible Anti-poverty program run properly if the governance of the state and society is not yet fully base on the welfare state system. Anti-poverty programs intertwine with the application of individual taxation that is progressive. If taxation without concept, poverty reduction strategy with the government has not gone According to the terms of the welfare state that is pro-poor.</p>

scholarly journals Policy Influence of Family Hope Program to Reduce the Poverty in Takalar, Indonesia

2019 ◽  
Vol 9 (2) ◽  
pp. 152-161
Author(s):  
Nuryanti Mustari ◽  
Lukman Hakim ◽  
Erni Erni ◽  
Maharanny Puspaningrum
Keyword(s):  
Poverty Reduction ◽  
Analysis Data ◽  
Average Score ◽  
Policy Influence ◽  
Analysis Technique ◽  
The Family ◽  
Data Validity ◽  
The Government ◽  
Data Collection Technique

This article analyze about policy influence of Family Hope Program toward reduce the poverty in Bontolebang Village, North Galesong Subdistrict. The methodology of this research is mix methods that combine quantitative and qualitative approach with questionnaire and interview instrument. The determination of sample in this research uses probability sampling techniques, the category of sample is beneficiary participant of the Family Hope Program but because the spectrum of population is too large so it just takes 80 people and 3 informants. Data collection technique are observation, questionnaire, interview, and documentation. Data analysis technique use regression analysis. Data validity technique are validity and reability testing. The result of this research indicate that policy influence of Family Hope Program in Bontolebang Village, North Galesong Subdistrict went very well. This is based on the average score obtained from statement item amounts 266,9 or 83,41% which indicate that implementation of Family Hope Program occupies on the very good category. Afterwards, this research indicate that policy of Family Hope Program has positive and significant effect on poverty reduction amounts 62,7% and the rest amounts 37,3% caused by other programs from the government.

scholarly journals Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin

2020 ◽  
Vol 3 (2) ◽  
pp. 76-82
Author(s):  
Padrul Jana
Keyword(s):  
Poverty Reduction ◽  
Mean Squared Error ◽  
Exponential Smoothing ◽  
Mean Absolute Percentage Error ◽  
Percentage Error ◽  
Poor People ◽  
Mean Absolute Deviation ◽  
Absolute Deviation ◽  
Absolute Percentage Error ◽  
The Government

This study aims to predict the number of poor in Indonesia for the next few years using a triple exponential smoothing method.The purpose of this research is the result of the forecast number of poor people in Indonesia accurate forecast results are used as an alternative data the government for consideration of government to determine the direction of national poverty reduction policies. This research includes the study of literature research, by applying the theory of forecasting to generate predictions of poor people for coming year. Furthermore, analyzing the mistakes of the methods used in terms of the count: Mean Absolute Deviation (MAD), Mean Square Error (MSE), Mean absolute percentage error (MAPE) and Mean Percentage Error (MPE). The function of this error analysis is to measure the accuracy of forecasting results that have been conducted.These results indicate that the number of poor people in 2017 amounted to 24,741,871 inhabitants, in 2018 amounted to 24,702,928 inhabitants, in 2019 amounted to 24,638,022 inhabitants and in 2020 amounted to 24,547,155 people. The forecasting results show an average reduction in the number of poor people in Indonesia last five years (2016-2020 years) ranges from 0.16 million. Analysis forecasting model obtained an mean absolute deviation (MAD) obtained by 0.246047. Mean squared error (MSE) of forecasting results with the original data by 1.693277. Mean absolute percentage error (MAPE) of 3.040307% and the final Mean percentage error (MPE) of 0.888134%.Kata Kunci: Forecasting, Triple Exponential Smoothing

scholarly journals Implementasi Program Keluarga Harapan (PKH) Di Kecamatan Binongko Kabupaten Wakatobi

2018 ◽  
Vol 1 (2) ◽  
pp. 1 ◽  
Author(s):  
La Ode Muhammad Elwan
Keyword(s):  
Program Implementation ◽  
Social Life ◽  
Poverty Reduction ◽  
Access To Health Services ◽  
Family Expectations ◽  
Qualitative Approaches ◽  
Poor Households ◽  
Family Program ◽  
The Family ◽  
The Government

Poverty reduction is an issue that should be resolved by the Government to soon completed and disconnected the chain of causes. Poverty reduction is currently oriented material so its sustainability depends greatly on the availability of the budget and the Government's commitment. The policy measures were undertaken by the Government to abolish it one is the family Program expectations. Welfare is the ultimate goal of the Family Expectations Program, namely to improve the quality of life of the family is very poor with access to health services and education. With the unsettled Family, Hope Program is expected to improve the social life of economy, education and public health, especially in poor community groups. The purpose of this study is to describe the implementation of a programme of Family expectations, find supporters and restricting factors and efforts to overcome it in the Wakatobi Binongko. Theory approaches used in this research is policy implementation approach Daniel Mazmanian and Paul Sabatier. The theory sees variables easy to control, the issue of whether or not the variable policy capabilities in the implementation process to manage appropriately and the variable outside the policies that affect the process of implementation. The research method used is descriptive research methods with qualitative approaches. Data collection was done through observation and interview. Research results showed the Family Hope Program Implementation in district Binongko Wakatobi many experience obstacles and have not been implemented properly. Socialisation has not been comprehensive so that less had the support of the parties concerned. It captures the recipient's Family Hope Program participants is not yet comprehensive, there are still many who have not to get family Program expectations. This has not been done well and the use of funds the Program Families Hope by very poor Households often used outside the conditions. For the long term cannot change the mindset and behaviour of very poor Households significantly.    Keywords: Implementation Of Policy, Family Expectations Program

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