Analisis Algoritma Apriori untuk Mendukung Strategi Promosi Perguruan Tinggi

haryo kusumo*  -  universitas kristen satya wacana, Indonesia
eko sediyono  -  universitas kristen satya wacana, Indonesia
marwata marwata  -  universitas kristen satya wacana, Indonesia

(*) Corresponding Author

Every company and organization that wants to survive needs to determine the effectiveness of the right promotion strategy. Determination of the right promotion strategy will be able to reduce the cost of promotion and achieve the right promotional goals. One way that can be done to determine the promotion strategy is to use data mining techniques. Data mining techniques used in this case are using the Apriori algorithm. A priori algorithm is one of the classic data mining algorithms. A priori algorithms are used so that computers can learn the rules of association, look for patterns of relationships between one or more items in a dataset. This study is conducted by observing several research variables that are often considered by universities in determining their promotion goals, namely school, region, and department. The results of this study are in the form of interesting patterns resulting from data mining which is important information to support the right promotion strategy in getting new students.

Keywords: Apriori Algorithms, Data Maining, Promotion Strategy,

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ISSN 2715-0143 (media online)
ISSN 2714-9048 (media cetak)

 

ISSN: 2714-9048 (Print)
ISSN: 2715-0143 (Online)
DOI : 10.21580/wjit

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

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