The Utility of Decision Tree and Analytics Hierarchy Process in Prioritizing of Social Aid Distribution due to Covid-19 Pandemic in Indonesia

The Utility of Decision Tree and Analytics Hierarchy Process in Prioritizing of Social Aid Distribution due to Covid-19 Pandemic in Indonesia

analytical hierarchy process; classification; decision tree; ranking; social aid

The Indonesian government provided various social assistance programs to local governments during Covid-19. One of the difficulties for the local governmentsin determining candidates for social aid isensuring that the number of candidates isin balance with the available quota. Therefore, the local governmentsmust select the most eligible candidates.This study proposes a priority model that can provide recommendations for candidates who meet the criteria for social assistance. The six parameters used inthis study were:number of dependents, occupation, income, age, Covidstatus, and citizen status. The model operates in two stages, namely classificationfollowed byranking. The classification stage is conducted using a decision tree, while the ranking stage is performed conducted using the Analytical Hierarchy Process (AHP) algorithm. The decision tree separates two classes, namely,eligible and non-eligible. In addition, the classification process isalso used to determine the dominant attributes and playeda role in the modeling. The proposed model generates a list of the most eligible candidates based on our research. These are sorted by weight from greatest to most eligibleusing five dominantparameters: number of dependents, income, age, Covid status, and citizen status

Saucha Diwandari1, Enny Itje Sela1*, Briyan Efflin Syahputra1, Nathaniela Aptanta Parama1& Anindita Septiarini

https://journals.itb.ac.id/index.php/jictra/article/view/18893/6172

Faculty of Science and Engineering,Universitas Teknologi Yogyakarta

2023

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