Garuda - Garba Rujukan Digital

Sitti Harlina

Universitas DIPA

Author-ID : 5847218

Education Mathematics Other

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Articles

WEB Based Social Assistance Recipient Selection Application Based on Community Education Level With C4.5 Algorithm Nurdiansah Nurdiansah; Usman; Sitti Harlina; Irmawati
Ceddi Journal of Education Vol. 1 No. 1 (2022): June
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

The Koramil 1408-02/Tallo office is in charge of distributing social assistance recipients. The social assistance is in the form of basic food assistance for the community and MSMEs for people who have micro-enterprises, where each aid has different criteria in determining the recipient. Regarding the existing social assistance and having different criteria in determining acceptance, including the level of education, of course, the staff of the 1408-02/Tallo Koramil Office will find it difficult to carry out the selection process. Based on existing data mining, beneficiaries can be made to assist beneficiaries who will assist the Koramil 1408-02/Tallo staff. Classification can be done using the C4.5 algorithm. This study aims to determine the recipients of social assistance and apply it in the development of the recipient system of social assistance, including the level of community education. This makes it easier to determine recipients of social assistance and the results of this study are applications for social assistance recipients, so that they can overcome the problems that exist in the current system. Based on the results of the research that has been done on the design of this application, it has succeeded in helping the Koramil Office 1408-02/Tallo in selecting social assistance recipients based on the recipient's education and functioning as expected.

WEB Based Social Assistance Recipient Selection Application Based on Community Education Level With C4.5 Algorithm Nurdiansah Nurdiansah; Usman; Sitti Harlina; Irmawati
Ceddi Journal of Education Vol. 1 No. 1 (2022): June
Publisher : Yayasan Cendekiawan Inovasi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/cje.v1i1.12

The Koramil 1408-02 Tallo office is responsible for distributing social assistance to recipients, including basic food assistance for the general community and support for micro, small, and medium enterprises (MSMEs). Each type of assistance has distinct criteria for determining eligibility, including educational level, which complicates the selection process for the staff. To address these challenges, this study leverages data mining techniques to develop a classification system using the C4.5 algorithm, aimed at determining social assistance recipients more effectively. The primary goal of this study is to create a system that simplifies the selection process for social assistance recipients by incorporating educational levels into the decision-making criteria. The outcome of the research is an application designed to assist Koramil 1408-02 Tallo in accurately identifying eligible recipients based on predefined criteria, thus resolving inefficiencies in the existing system. This study contributes to the advancement of knowledge by showcasing the practical application of the C4.5 algorithm in the context of social welfare distribution. It not only improves the accuracy and efficiency of recipient selection but also serves as a model that can be adapted and expanded to other domains of social assistance. The findings highlight the transformative potential of data-driven decision-making tools, offering valuable insights for future research and development in optimizing resource allocation and enhancing the effectiveness of social support systems.

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