PENERAPAN ALGORITMA APRIORI DALAM MENINGKATKAN PRODUKSI BUDIDAYA PERIKANAN MENGGUNAKAN ASSOCIATION RULE

DAVID EBENEZER FRANS, NADIA DAMAYANTI NAINGGOLAN, SEDIAMAN JULIANUS GULO, JOSE AGUSTIN FERNANDO MARBUN (2022) PENERAPAN ALGORITMA APRIORI DALAM MENINGKATKAN PRODUKSI BUDIDAYA PERIKANAN MENGGUNAKAN ASSOCIATION RULE , SKRIPSI, UNIVERSITAS PRIMA INDONESIA

ABSTRAK

Aquaculture production in North Sumatra needs to be increased in order to meet the increasing demand
for aquaculture in the area from time to time. In order to optimize aquaculture production,
recommendations are made for what types of aquaculture are most in demand by the community so that
the North Sumatra Marine and Fisheries Service can prepare fishery supplies optimally.
Recommendations for the provision of fish are carried out by utilizing data mining technology with an
association rule algorithm. Processed data is fish sales history data. The result of this data processing is
the combination of fish data that is most in demand by the community with a minimum amount of support
of 40% to 3 itemset. Furthermore, the a priori algorithm is implemented at the marine and fisheries
service to determine associations. By utilizing the results of this a priori algorithm analysis, the
Department of Marine and Fisheries of North Sumatra can find out what types of aquaculture are the
priorities for increasing production so that they can meet the needs of the community.

JURNAL