Eligibility Recipients Determination of El-Nino Direct Cash Aid Using C4.5 Algorithm

The El Nino phenomenon, which causes increased temperatures and prolonged drought, is predicted to continue to hit Indonesia until the end of 2023. The significant impacts of El Nino include reducing the productivity of agricultural products, including food crops such as rice. This condition will certainly greatly affect the stability of domestic food prices. A total of 420 people from Bernah Village, Kota Alam Subdistrict received it. In the selection process for BLT El Nino recipients in Bernah Village, problems often occur such as problems in identifying aid recipients. This creates a society where aid recipients are still relatively well-off. By applying the C4.5 Algorithm, the C4.5 Calculation can determine feasibility thereby increasing efficiency in determining El Nino Direct Cash Assistance receipts. Calculations using Microsoft Excel 2010 revealed that there were 252 eligible recipients while 168 were not eligible. And from the calculation results using Rapid Miner 10.1. It is known that the accuracy rate is 100.00% with a total of 420 people receiving aid data.

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Publication Details

Journal
PIKSEL Penelitian Ilmu Komputer Sistem Embedded and Logic
Published
2024-09-30
DOI
https://doi.org/10.33558/piksel.v12i2.9551
Primary Topic
Management and Optimization Techniques
Type
article
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article

Eligibility Recipients Determination of El-Nino Direct Cash Aid Using C4.5 Algorithm

Siti Aminah, Dini Elldrica Putri, Dwi Marisa Efendi
PIKSEL Penelitian Ilmu Komputer Sistem Embedded and Logic
Management and Optimization Techniques
article

Eligibility Recipients Determination of El-Nino Direct Cash Aid Using C4.5 Algorithm

Siti Aminah, Dini Elldrica Putri, Dwi Marisa Efendi
article en

Abstract

The El Nino phenomenon, which causes increased temperatures and prolonged drought, is predicted to continue to hit Indonesia until the end of 2023. The significant impacts of El Nino include reducing the productivity of agricultural products, including food crops such as rice. This condition will certainly greatly affect the stability of domestic food prices. A total of 420 people from Bernah Village, Kota Alam Subdistrict received it. In the selection process for BLT El Nino recipients in Bernah Village, problems often occur such as problems in identifying aid recipients. This creates a society where aid recipients are still relatively well-off. By applying the C4.5 Algorithm, the C4.5 Calculation can determine feasibility thereby increasing efficiency in determining El Nino Direct Cash Assistance receipts. Calculations using Microsoft Excel 2010 revealed that there were 252 eligible recipients while 168 were not eligible. And from the calculation results using Rapid Miner 10.1. It is known that the accuracy rate is 100.00% with a total of 420 people receiving aid data.

PIKSEL Penelitian Ilmu Komputer Sistem Embedded and LogicVol. 12(2)
MIT University (MK), Institut Teknologi dan Bisnis Kalbe (ID)
Zero hunger
Openalex Percentile: Top 67%
Management and Optimization Techniques
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