Application of the Apriori Algorithm to Determine Public Service Patterns at the Subdistrict Office

Priska Anggraini; Akim M H Pardede; Zira Fatmaira

doi:10.59934/jaiea.v5i1.1436

Authors

Priska Anggraini STMIK Kaputama
Akim M H Pardede STMIK KAPUTAMA
Zira Fatmaira STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v5i1.1436

Keywords:

algoritma apriori, rapidminer, Service

Abstract

Public services at the sub-district office are a form of direct interaction between the government and the community. One of the public services is administrative services such as issuing ID cards, family cards, document legalization, domicile certificates, and SKTM certificates. At the Hamparan Perak District Office, there are several major issues that frequently arise in public services, including long waiting times, many citizens complaining about the length of service due to long queues and processes that are still conducted manually. The lack of service management due to the absence of a clear pattern in public services leads to an imbalance in the allocation of resources and manpower. By using the Apriori Algorithm, patterns of interrelated services can be identified, enabling the subdistrict office to optimize its service system. The Apriori Algorithm works by identifying frequently used service combinations (frequent itemsets) and forming association rules, thereby providing recommendations for service improvement. This method can improve service efficiency by identifying which services are frequently used together. Through testing using the RapidMiner application, this study identified age, gender, occupation, address, type of service, service time, and application status. The results show that 248 association rules were formed, with the highest Best Rule value of 5% support and 82% confidence on 3 item sets. The rule states: “If gender is male and age is between 56 and 46 years, then the application status is ‘Processed.

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