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 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 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 Alcohol Consumption and Age in Thailand from 2006 to 2011: An Exploration of Non-Linear Relationships

2017 ◽  
Vol 10 (1) ◽  
pp. 17-24 ◽  
Author(s):  
Pannapa Changpetch ◽  
Dominique Haughton
Keyword(s):  
Alcohol Consumption ◽  
Age Groups ◽  
Government Policies ◽  
Household Expenditure ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Head Of Household ◽  
Linear Relationships ◽  
Thai Government ◽  
Over Time

Background: In this paper, we investigate how household alcohol consumption in Thailand relates to the age of the head of household. Methods: We use datasets drawn from socio-economic surveys of Thai households conducted during the period of 2006–2011, and we use Treenet, a data-mining technique, to investigate nonlinear relationships between response and predictors. Our study shows that households with a head of household aged between 25 and 30 years old were the most likely to consume alcohol at home and that this likelihood decreased after the age of 30. Results: Our results also reveal that the proportion of total household expenditure allocated to alcohol decreased over time, but in different ways for different age groups. Moreover, we find that the gaps in alcohol spending across the different age groups tend to become smaller over time. Our results suggest that Thai government policies seem to have been accompanied by a relative decrease in alcohol consumption by younger groups.

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 Sosialisasi Program Simpan Pinjam Khusus Perempuan Untuk Peningkatan Perekonomian Masyarakat di Desa Marjandi Pematang

2021 ◽  
Vol 2 (2) ◽  
pp. 102-110
Author(s):  
Syafruddin Ritonga ◽  
Nina Salmaniah Siregar ◽  
Taufik Wal Hidayat ◽  
Armansyah Matondang
Keyword(s):  
Household Income ◽  
The Other ◽  
Savings And Loans ◽  
The Family ◽  
Poor Families ◽  
The Village

The purpose of this socialization is to provide knowledge to mothers about savings and loans, especially women who have a more role and benefit for the welfare and economy of the family. The method used is direct socialization to mothers, in the village of Marjandi Pematang Siantar. From the results of this dedication, that with the SPP mothers can play a role in increasing household income / income so that the economy can be further improved. SPP can help the capital of poor families if they want to open a business so that it is hoped that the community can live in prosperity. the people's economy can be more stable for those who really use it properly and correctly, namely as business capital. Members in a group co-exist and help each other, equally bear if one member does not pay then the other is responsible for the payment.

scholarly journals POLA DAN PERILAKU KONSUMSI RUMAH TANGGA DALAM PERSPEKTIF EKONOMI ISLAM DI KOTA MAKASSAR

2018 ◽  
Vol 16 (2) ◽  
pp. 307-338
Author(s):  
Tuti Supatminingsih
Keyword(s):  
Household Income ◽  
Employment Status ◽  
Family Members ◽  
Household Consumption ◽  
Consumption Expenditure ◽  
Head Of Household ◽  
The Family ◽  
Food Needs ◽  
Islamic Economic ◽  
And Behavior

This study discusses the pattern and behavior of household consumption in Islamic economic perspective in Makassar city. The results showed that the type of household consumption in Makassar City, dominated by expenditure for nonfood. Income, education, number of family members, number of family members, saving, credit, employment status of head of household simultaneously have a significant influence on household consumption expenditure in Makassar City. Household income, number of working family members, saving, and credit, partially have a significant effect on household consumption expenditure in Makassar City, whereas the education of head of household, the number of family member, occupation of head of household have influence which is insignificant to household consumption expenditure in Makassar City. The behavior of the family household consumption in Makassar City based on the perspective of Islamic economics, firstly, the purchase of food and non-food goods in line with the concept of needs, which is the need for more priority and has paid attention to the religious teachings of Islam; secondly, the mashlahah that is achieved with the fulfillment of food and non food needs is the acquisition of utility and blessing in consuming food and non food, thirdly, the benefits gained not only in the world but in the hereafter also, because in consumption expenditure there are still social aspects, such as zakat, infaqandsedakah, so that consumption activities that carried were based on religious values.

Sign in / Sign up

Export Citation Format

Share Document