2022
DOI: 10.15294/sji.v9i2.32369
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Comparative Analysis Performance of K-Nearest Neighbor Algorithm and Adaptive Boosting on the Prediction of Non-Cash Food Aid Recipients

Abstract: Purpose: The implementation of this manual system is considered less accurate in obtaining the results of social assistance recipients. From these problems to overcome this problem, systematic calculations are needed. In processing data, a model is needed that can explain the data with its application, so a machine learning model is made that can help process the data.Methods: This study's classification of non-cash food social assistance receipts uses the K-Nearest Neighbor and Adaptive Boosting algorithms. T… Show more

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“…Technological advances and the increasing Internet use have impacted all aspects of life [1]- [3], including education [4]. Educational organizations have a responsibility towards society as users of their services.…”
Section: Introductionmentioning
confidence: 99%
“…Technological advances and the increasing Internet use have impacted all aspects of life [1]- [3], including education [4]. Educational organizations have a responsibility towards society as users of their services.…”
Section: Introductionmentioning
confidence: 99%
“…This algorithm calculates the minimum cost in numerical units needed to transform one or an array of strings into another, thereby providing a resultant similarity value. The next step used a Confusion Matrix table to assess the successful and failed rate [23], [24] of detecting plagiarism pairs. From the confusion matrix, metrics such as Accuracy [25], Precision, Recall, and F-Measure values were obtained.…”
Section: Introductionmentioning
confidence: 99%