| dc.contributor.author | Syahputra, Irham | |
| dc.date.accessioned | 2023-08-22 | |
| dc.date.available | 2023-08-22 | |
| dc.date.issued | 2021 | |
| dc.identifier.uri |
https://repositori.unhar.ac.id/handle/692/algoritma-fp-growth-dalam-teknik-data-mining-untuk-mendapatkan-pola-penyebaran-covid-19
| |
| dc.description.abstract |
The COVID-19 pandemic has become the human tragedy of the century. All countries in the world are racing against time to fight the spread and deadly impact of this virus. In analyzing the pattern of the spread of covid-19, a data mining technique is needed which is a process of analyzing data from different perspectives and summing it up into important information that can be used. One of the algorithms used in this research is the FP-Growth algorithm, which is one of the algorithms for determining data sets that often appear. The purpose of this study is to determine the pattern of the spread of the COVID-19 virus so that it can be information for the public. The expected result of this research is to know the performance of the implementation of the fp-growth algorithm to obtain the pattern of the spread of Covid-19 which can later be informed to the website-based community.
Keywords : Covid-19. Pattern. Data mining
| en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universitas Harapan Medan | en_US |
| dc.subject | ALGORITMA FP-GROWTH | en_US |
| dc.title | ALGORITMA FP-GROWTH DALAM TEKNIK DATA MINING UNTUK MENDAPATKAN POLA PENYEBARAN COVID-19 | en_US |
| dc.type | Skripsi | en_US |
