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 Pendapatan dasar Melalui Bantuan Sosial PKH Sebagai Upaya Peningkatan Ekonomi Masyarakat Miskin; Studi Kasus Analisis Kapital Sosial Masyarakat Dusun Sade, Lombok, NTB

2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Muhammad Imam Saputra
Keyword(s):  
Social Capital ◽  
Social Assistance ◽  
Public Confidence ◽  
Assistance Program ◽  
Assistance Programs ◽  
Global Challenge ◽  
The People ◽  
The Social ◽  
The Government ◽  
And Behavior

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

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 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 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
Keyword(s):  
Data Mining ◽  
Local Government ◽  
Selection Process ◽  
Social Assistance ◽  
Data Mining Algorithm ◽  
Assistance Program ◽  
District Office ◽  
The Social ◽  
C4.5 Algorithm ◽  
Aid Programs

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.

Around ethical dilemmas in the work of a family assistant

2021 ◽  
Vol 597 (2) ◽  
pp. 8-17
Author(s):  
Małgorzata Ciczkowska-Giedziun
Keyword(s):  
Social Workers ◽  
Ethical Dilemmas ◽  
Social Assistance ◽  
Self Determination ◽  
Assistance Programs ◽  
Helping Relationship ◽  
The Social ◽  
The Family ◽  
The Right ◽  
Voluntary Cooperation

The purpose of the article is to describe selected ethical dilemmas in the work of a family assistant, based on the typology of ethical dilemmas of Frederic Reamer. In accordance with the typology adopted in the article, in the area of cooperation with families, ethical dilemmas regarding direct work with families, implementation of social assistance programs and relationship between representatives of the profession arise. The information presented in the text is based on publications, studies and reports on family assistantship. The first group of ethical dilemmas is revealed when constructing supportive and helping relationship between assistants and families. It refers to such areas as: voluntary cooperation, limits of cooperation, the right to self-determination or limits of responsibility. The second group of ethical dilemmas is related to the planning and implementation of various solutions in the field of social policy and also support and assistance programs offered to the family. The last group of ethical dilemmas results from a different understanding of family assistantship in the structures of the social assistance system. They are also revealed in the construction of relationships with social workers. The text also includes solutions how to cope with these dilemmas.

scholarly journals Mining on Social Media Data: To Determine the Personality of Unrevealed Person

2019 ◽  
Vol 8 (4) ◽  
pp. 8574-8577
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Mining ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Network Discovery ◽  
The Social ◽  
Mining Methods ◽  
Using Data ◽  
Media Data

The unavoidable utilization of online networking like Facebook is giving exceptional measures of social information. Information mining methods have been broadly used to separate learning from such information. The character of the person is predicted whether he is good or not by using data mining techniques from user self-made data. Mining methods are being broadly using to separate learning from such information, main examples for them are network discovery and slant investigation. Notwithstanding, there is still a lot of room to investigate as far as the occasion information (i.e., occasions with timestamps, for example, posting an inquiry, altering an article in Wikipedia, and remarking on a tweet. These occasions react users' personal conduct standards and working forms in the social media websites.

APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN SOSIAL TUNAI (BST) DENGAN METODE FUZZY TSUKAMOTO

2020 ◽  
Vol 1 (2) ◽  
pp. 42-55
Author(s):  
Cut Lutfianda
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Social Assistance ◽  
Assistance Program ◽  
The Republic ◽  
The Government ◽  
The Right ◽  
Social Affairs

The government has issued policies and programs to anticipate the handling of this pandemic, one of which is the Social Assistance Program provided through the leading sector of the Ministry of Social Affairs of the Republic of Indonesia in the form of social assistance programs provided to the poor and communities that have a socio-economic impact from the corona pandemic. One of the programs launched by the government through the Ministry of Social Affairs is the Cash Social Assistance Program or Cash Social Assistance. The research objective was to develop a decision support system application for cash social assistance recipients (BST) with the Tsukamoto fuzzy method which can be used as a tool to quickly determine BST recipients. The several stages of work consist of; data collection, analysis, design and application design, implementation, and testing and evaluation. Based on the results of research and testing of the decision support system to determine BST recipients using the Fuzzy Tsukamoto method that has been carried out by researchers, several conclusions can be drawn, namely: 1) Expert system application for finding BST recipients is an application based on rules for solving problems to determine BST recipients with a high degree of accuracy and is used as a reference for BST recipients for the government to determine the right target recipients to be selected, and 2) The results of the analysis generated from this system are the same as the results of calculations manually using the theory of the Fuzzy Tsukamoto method so that the accuracy of the results is appropriate with calculations obtained from the trial.

The imrovement of social allowance perspectives on social security law

2021 ◽  
Vol 15 (2) ◽  
pp. 113-115
Author(s):  
Səbinə Eldəniz qızı Şirinova ◽  
Keyword(s):  
Social Security ◽  
Social Welfare ◽  
Social Services ◽  
Social Assistance ◽  
Labor Rights ◽  
Spiritual Needs ◽  
Social Law ◽  
The Social ◽  
The Republic ◽  
The Government

This article accounts for the idenfication of perspectives of the enhancement of the social law regarding the social assistance payments. Enhacing citizens' social welfare, creating the environment for the fulfillment of their material and spiritual needs and solving the issues related to the social security are the priorities of the social policy of the Republic of Azerbaijan. Over the recent years the successful uptrend of development has been maintained in all directions, the application of all social programmes, enhancement of citizens' social security, involving socially sensitive groups of citizens in the social care of the government, the security of their labor rights, the arrangement of active employment events and dedicated acts in other fields, pension and social distribution, the reforms regarding the enhancement of medical-social examination systems have been proceeded successfully. In this regard, we consider that some changes to the legislative statements regarding the social assistance payments should be done. As social assistance payments have a dynamic nature, regular enhancements on the legislative statements should be done. Key words: social services, enforcement of citizen's social welfare, social assistance payments, the perspectives of enhancing the law regarding social assistance payments

scholarly journals Redesign Prototype of Fintech Application

2021 ◽  
Vol 328 ◽  
pp. 04002
Author(s):  
A F Doni ◽  
Y D P Negara ◽  
Eka Retno Wulandari ◽  
Muhamad Zainul Mustofa
Keyword(s):  
Data Mining ◽  
Asset Management ◽  
Interactive Systems ◽  
Test Results ◽  
User Centered Design ◽  
Payment Methods ◽  
Use Of Technology ◽  
User Expectations ◽  
Mining Methods ◽  
User Centered

The development of Fintech's business in Indonesia helps maximize the use of technology to change, sharpen, or improve various financial aspects ranging from payment methods, transferring funds, obtaining funds, loans to asset management can begin to be accelerated and shortened using technology. However, considering technology that is not well prepared will have an impact on a poor user experience. The DANA application still requires UI / UX difficulties on transactions so it does not meet user expectations. Assessing user-centered design can help in user-related issues. Supporting user-centered design has been supported by various techniques, methods, tools, procedures and processes that help design interactive systems that are more user-centered. Data mining methods used are interviews with end users and literature studies. New design and prototype recommendations according to usability test results. A total of seven participants tested the usability of the new transaction prototype. The expected results of this design help overcome/control the user in conducting transactions.

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