IMPLEMENTASI ALGORITMA APRIORI UNTUK MENGETAHUI POLA KORELASI ANTAR PARAMETER KUALITAS DAN HASIL PRODUKSI TANAMAN PADI
Total View This Week0
Total View This Week0
Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
WAHID, EVA AYU LESTARI
Susanti, Meilia Nur Indah
Asri, Yessy
Susanti, Meilia Nur Indah
Asri, Yessy
Subject
Teknik Informatika
Datestamp
2020-09-01 10:36:20
Abstract :
Department of Food Crops, horticulture and Bone plantation in particular the production part is a part that is responsible for the recording of food crop data that occurred in Bone District one of which is rice crop. The number of activities of rice crop logging in the Agriculture service of Bone District generates a pile of data that is increasingly larger and one of the problems faced is the processing of rice crop data. The data used in the research is a data factor that affects the quality and yield of rice production, which will discuss about the association relationship between a number of factors affecting the quality and yield of rice production. The algorithm used is a priori algorithm by analyzing high frequency patterns namely looking for a combination of items that meet the minimum support and minimum confidence values for the establishment of association rules. The sample Data used as many as 60 incidents occurred in Bone district. The result of the study of 60 event data is a combination of items or quality factors and the result of rice production with the associated value of 20% support and confidence value 90%, resulted in 11 association rules. Information with the known factors that affect the quality and yield of the most common rice production in Bone District can be used by the Department of Agriculture crops, horticulture and plantation as the basis for conducting Actions required.
Department of Food Crops, horticulture and Bone plantation in particular the production part is a part that is responsible for the recording of food crop data that occurred in Bone District one of which is rice crop. The number of activities of rice crop logging in the Agriculture service of Bone District generates a pile of data that is increasingly larger and one of the problems faced is the processing of rice crop data. The data used in the research is a data factor that affects the quality and yield of rice production, which will discuss about the association relationship between a number of factors affecting the quality and yield of rice production. The algorithm used is a priori algorithm by analyzing high frequency patterns namely looking for a combination of items that meet the minimum support and minimum confidence values for the establishment of association rules. The sample Data used as many as 60 incidents occurred in Bone district. The result of the study of 60 event data is a combination of items or quality factors and the result of rice production with the associated value of 20% support and confidence value 90%, resulted in 11 association rules. Information with the known factors that affect the quality and yield of the most common rice production in Bone District can be used by the Department of Agriculture crops, horticulture and plantation as the basis for conducting Actions required.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
