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 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 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 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 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

scholarly journals Segmentasi Perkebunan Kelapa Sawit dengan Data Mining Teknik K-Means Clustering Berdasarkan Luas Areal, Produksi dan Produktivitas

2021 ◽  
Vol 2 (2) ◽  
pp. 56
Author(s):  
Trisna Yuniarti ◽  
Dahliyah Hayati
Keyword(s):  
Data Mining ◽  
Data Collection ◽  
Oil Palm ◽  
Data Sets ◽  
Segmentation Method ◽  
Data Mining Technique ◽  
Mining Technique ◽  
The Government ◽  
Clustering Data ◽  
Medium Potential

The oil palm is the most productive plantation product in Indonesia. Government strategies and policies related to oil palm plantations continue to be carried out considering that the plantation area is increasing every year. Segmentation of oil palm plantations based on area, production, and productivity aims to identify groups of potential oil palm plantations in the territory of Indonesia. This segmentation can provide consideration in formulating strategies and policies that will be made by the government. The segmentation method for grouping oil palm plantations uses the K-Means Clustering Data Mining technique with 3 clusters specified. Data mining stages start from data collection until representation is carried out, where 34 data sets are collected, only 25 data sets can be processed further. The results of this grouping obtained three plantation segments, namely 72% of the plantation group with low potential, 20% of the plantation group with medium potential, and 8% of the plantation group with high potential.

Introduction to leaving state care in China

2017 ◽  
Author(s):  
Xiaoyuan Shang ◽  
Karen R. Fisher
Keyword(s):  
Family Planning ◽  
Young People ◽  
Social Services ◽  
Living Environment ◽  
The Other ◽  
Children And Young People ◽  
The Family ◽  
The Government ◽  
To Receive

This introductory chapter talks about how the rapid social, economic, and demographic changes in China have affected all aspects of the living environment of children and young people, particularly children in state care. Positive developments are the growth of the mixed welfare state and the relaxation of the family planning requirements, so that all families can now choose to have more than one child and they are more likely to receive free social services. These trends imply that fewer children will be left in state care in the future. On the other hand, whereas the government once arranged jobs for young people leaving care or other young people with disabilities, it now relies on the developing labour market to fulfil this function.

scholarly journals Potable Water Order Forecasting System Using Data Mining Technique

2021 ◽  
Vol 11 (6) ◽  
pp. 1-8
Author(s):  
Phatarapon Vorapracha ◽  
Keyword(s):  
Data Mining ◽  
Drinking Water ◽  
Potable Water ◽  
Bayesian Classification ◽  
Data Mining Technique ◽  
Data Mining Techniques ◽  
Mining Technique ◽  
C4.5 Algorithm ◽  
Forecasting System ◽  
Using Data

Potable water order forecasting system using data mining technique. It aims to analyze, design and develop potable water order forecasting system using data mining technique. There is a comparison data mining techniques were compared using the C4.5 algorithm and Bayesian classification algorithm. The researcher found that the C4.5 algorithm is more suitable for drinking water ordering system. This web application system allows the system to predict each customer's drinking water orders. Subscription support ordering, drinking water and bank payment. In terms of user interaction and use the MySQL database program to organize the system database. The result of development potable water order forecasting system using data mining technique. Have tested data mining techniques were compared using the C4.5 algorithm and Bayesian classification algorithm. The researcher found that the C4.5 algorithm is more suitable for drinking water ordering system. From data research results using data in 9 months of training and 2 months of testing, it was found that the accuracy was 85.59%. C4.5 algorithm and test the system from the evaluation of 2 administrators, 3 employees and 5 customers, total 10 people with average mean of 4.20 .

scholarly journals PENERAPAN ALGORITMA C4.5 UNTUK PREDIKSI TINGKAT KOMPETENSI KARYAWAN PT MULTISTRADA ARAH SARANA

JOUTICA ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 145
Author(s):  
Wahyono Wahyono ◽  
Agung Nugroho
Keyword(s):  
Training Data ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Monitoring Process ◽  
C4.5 Algorithm ◽  
Assessment Of Competence ◽  
Personnel Department ◽  
Competency Level ◽  
Employee Data

The success of an organization or company is influenced by the competence of human resources in it in carrying out its duties. Assessment of competence in the company is very important because it is necessary to determine the level of competence of employees. So far, the competency level assessment is still done manually by providing certain criteria by the Personnel Department (HRD). The number of criteria and employees employed is quite difficult in the assessment of employee competency. In addition, the quality of employee work is also often changing. This is very influential on the future prospects of the company. The purpose of this study is to analyze and know the pattern of employee competency level. The research method used is Decission Tree Learning (DCT). The C4.5 algorithm is part of DCT. Algorithm C4.5, the data mining technique to create a decision tree that represents rules or rules. Of the 257 overall employee data is divided into two partitions, 80% for training data and 20% data testing. The result of application of algorithm C4.5 got its accuracy 80,39% with calculation of RapidMiner 5.3. This research produces a pattern of competency level that can be used by PT Multistrada Arah Sarana for employee monitoring process to determine whether or not to need training or promotion promotion

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.

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