scholarly journals Application of Data Mining in Determining Social Assistance Recipients With C4.5 Algorithm in Maligas Mountain District

2021 ◽  
Vol 10 (3) ◽  
pp. 88-99
Author(s):  
Rika Nur Adiha ◽  
Sundari Retno Andani ◽  
Widodo Saputra

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.

2020 ◽  
Vol 7 (6) ◽  
pp. 1231
Author(s):  
Elly Firasari ◽  
Umi Khultsum ◽  
Monikka Nur Winnarto ◽  
Risnandar Risnandar

<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>


2020 ◽  
Vol 19 (1) ◽  
pp. 70-76
Author(s):  
Agus Bahtiar ◽  
Parasian DP Silitonga

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%


2018 ◽  
Vol 18 (2) ◽  
pp. 21-30
Author(s):  
Jarosław Dobkowski

The paper deals with the issue of control of the municipal social welfare center performed bythe commune council revision commission. The proper considerations were preceded by remarksregarding the principles of organization and functioning of the local government administrationin the commune. Against this background, the legal position of the social welfare center, itsmanager, self-government employees, including social workers was characterized. The legal natureof the revision committee was also referred to and the legal basis for its operation was presented.The rights of the revision committee to the social assistance center were discussed, and the principlesand course of the control made by it were approximated. Attention was paid to the diversityof control items. In particular, a significant problem of protection of personal data of the managerand employees of the center during the control was pointed out.


2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Muhammad Imam Saputra

The existence of good relations through a close level of trust in the formation of social capital between the community and the government will increase the success of a program. The government's understanding of the real needs of the community, the community is also able to optimize program interventions which will result in work harmony between the government and the community. The fulfillment of basic needs which is the main polemic can be met with social security with the concept of a pendapatan dasar. The existence of this idea is expected to increase public confidence in the government. The income obtained through social assistance in the form of cash will provide unconditional life insurance which will later change the mindset and behavior of the community in applying other assistance programs. This meeting point will later answer the global challenge in mobilizing the community to continue to carry out production activities. This study uses a qualitative approach which is located in the tourism area of Dusun Sade, Lombok. In-depth interviews were conducted with representatives of indigenous peoples, traditional leaders and representatives from the government. The information to be obtained is the certainty of social assistance that is able to increase the trust of the people of Sade Hamlet and the government is optimizing the social assistance program as a form of government effort to reactivate the economy in Sade Hamlet Keywords: Basicn Income, Social Capital, Indigenous People, Sade Hamlet AbstrakAdanya hubungan baik melalui tingkat kepercayaan yang erat dalam pembentukan kapital sosial antara masyarakat dengan pemerintah akan meningkatkan keberhasilan suatu program. Pemahaman pemerintah akan kebutuhan riil masyarakat dan sebaliknya masyarakat mampu mengoptimalkan intervensi program mampu menghasilkan keselarasan kerja antara pemerintah dengan masyarakat. Pemenuhan kebutuhan dasar yang menjadi polemik utama dapat dipenuhi dengan jaminan sosial yang berkonsep pada pendapatan dasar yang universal. Adanya gagasan ini diharapkan mampu meningkatkan kepercayaan masyarakat akan pemerintah. Pendapatan yang didapatkan melalui bantuan sosial berbentuk cash akan memberikan jaminan hidup tanpa syarat yang nantinya akan mengubah pola pikir dan perilaku masyarakat dalam mengaplikasikan program bantuan lainnya. Titik temu inilah yang nantinya menjawab tantangan global dalam memobilisasi masyarakat untuk terus melakukan aktivitas produksi. Studi ini menggunakan pendekatan kualitatif yang berlokasi di kawasan pariwisata Dusun Sade, Lombok. Wawancara mendalam dilakukan kepada perwakilan masyarakat adat, tokoh adat dan perwakilan dari pemerintah. Informasi yang ingin didapat berupa kepastian bantuan sosial yang mampu meningkatkan trust/kepercayaan masyarakat Dusun Sade dan pemerintah mengoptimalkan program bantuan sosial sebagai bentuk upaya pemerintah menggerakkan kembali perekonomian di Dusun Sade. Kata Kunci: Kapital Sosial, Pendapatan dasar, Masyarakat Adat, Dusun Sade


Author(s):  
Muhammad Riban Satia ◽  
Risdayanti Noor Safitri

The purpose of this research is to know how actors role in the implementation of the Rice prosperous assistance Program in the new Kasongan sub-district of Katingan Hilir Katingan regency. The research method used is a qualitative descriptive that is to explain, describe, and represent a phenomenon that exists to solve a problem. In this study there are two data sources, namely the primary data source obtained from interviews with several respondents in the new village of Kasongan, and secondary data sources are obtained from various documents and so on. Based on the results of the study can be concluded that the role of actors in implementing the implementation of the social rice assistance Program in Kasongan New village is still not going well if viewed from the communication and target of the recipient family Benefits. From the problem that the researcher suggested that the village employees more often communicate with the community in Kasongan New village, especially the beneficiaries family of social and social assistance Emphasize again to each Kelurahan or village in order to record the community that is included in the criteria of beneficiaries social rice assistance so that the data can be renewed and the achievement of the purpose of the social assistance of the prosperous rice in Katingan.


2020 ◽  
Vol 6 (2) ◽  
pp. 126-149
Author(s):  
Rudi Kurniawan ◽  
Takdir Takdir ◽  
Hadi Iskandar ◽  
Romi Asmara

For the sake of implementing the handling of the poor to provide optimal, effective, and efficient social assistance, which is carried out by government agencies, it is necessary to evaluate appropriate recipients of this assistance. It is necessary to carry out a process of monitoring and evaluating recipients of social assistance who are not suitable to be a beneficiary in order to produce provision of targeted social assistance. This study aims to observe closely how to optimize the provision of social assistance to the poor at the Office of Social Affairs, Women's Empowerment and Child Protection in North Aceh Regency, Indonesia, and the obstacles or challenges encountered in its implementation. A qualitative approach was employed in the data collection process. The results of this study indicate that the social problems for the poor occurring in North Aceh Regency are increasingly complex and continue to develop. This condition requires the local Government to give priority to the implementation of social welfare in the field of handling the poor. This is relevant to the population and the complexity of social problems that exist in North Aceh District which tends to increase annually.


2020 ◽  
Vol 2 (1) ◽  
pp. 90-102
Author(s):  
Wildan Rahmansyah ◽  
Resi Ariyasa Qadri ◽  
RTS Ressa Anggia Sakti ◽  
Syaiful Ikhsan

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.


2020 ◽  
Vol 4 (2) ◽  
pp. 51
Author(s):  
Giovanni Anggiesta Putri ◽  
Dwi Maryono ◽  
Febri Liantoni

Data mining is a knowledge used to get information from multiple data. C.45 Algorithm is one of data mining algorithm to classify data to many categories. Implementation of data mining not only could be used in industrial section but it could be used to in educational section (educational data mining) to help teacher and student improve their learning quality. This research purposed to know the implementation of data mining to predict student achievement from many factors could be effected . The research use Knowledge Discovery in Database method and it would be analyzed by accuration calculated from classify model that be form. Result of the research is the rules that formed by the decision tree and it could predict student achievement . Teacher could use it to give special treatment to student who got not good prediction.


2008 ◽  
Vol null (39) ◽  
pp. 287-314
Author(s):  
Neung Hoo Park ◽  
Miyoung Song

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