PENERAPAN DATA MINING DENGAN METODE ASSOCIATION RULE SEBAGAI SALAH SATU FITUR PADA APLIKASI DATA KEPENDUDUKAN DESA PURWOSARI



Noerjaman, - (2024) PENERAPAN DATA MINING DENGAN METODE ASSOCIATION RULE SEBAGAI SALAH SATU FITUR PADA APLIKASI DATA KEPENDUDUKAN DESA PURWOSARI. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Abstract

The development of information technology, particularly in the field of information and communication, has driven the creation of an effective and reliable population data information system. This system plays a crucial role in managing population data, including identification, recording, and mapping of human resource potential. The village of Purwosari in Ponorogo has both potential and challenges in managing complex population data. To address this issue, Muhammadiyah University of Ponorogo has designed a Community Service Program (KKN) aimed at implementing a web-based population data information system in the village.This program is designed to categorize families into prosperous and pre-prosperous categories more accurately by utilizing Association Rule methods and the Apriori Algorithm. This information system presents analysis results that can assist village officials in determining the socio-economic conditions of each family. The data generated from this system is used to ensure that assistance is targeted appropriately to pre-prosperous families.The implementation of this system is expected to improve the quality of population data services and strengthen village information management, while also contributing to enhancing the quality of education and the application of information technology that is relevant to the needs of the community. Thus, this system not only serves as a tool for managing population data but also supports efforts for community development and empowerment in Purwosari Village.

Item Type: Thesis (Skripsi (S1))
Uncontrolled Keywords: Apriori Algorithm, Association Rules, Data Mining, Population Information System
Subjects: H Social Sciences > HA Statistics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: ft . userft
Date Deposited: 03 Nov 2025 02:17
Last Modified: 03 Nov 2025 02:17
URI: https://eprints.umpo.ac.id/id/eprint/15275

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