Open AccessTeknik Data Mining dalam Mengelompokkan Produktivitas Padi Menurut Provinsi Menggunakan K-Medoids
Author(s) -
Safitri Ani Ritonga,
M. Safii,
Iin Parlina,
Heru Satria Tambunan,
Susiani Susiani
Publication year - 2019
Publication title -
prosiding seminar nasional riset information science (senaris)
Language(s) - English
Resource type - Journals
ISSN - 2686-0260
DOI - 10.30645/senaris.v1i0.71
Subject(s) - productivity , agricultural science , agriculture , indonesian , business , cluster (spacecraft) , agricultural economics , geography , agroforestry , economics , environmental science , economic growth , linguistics , philosophy , archaeology , computer science , programming language
Rice is a staple food raw material that is vital for the people, and one of the leading commodities that is cultivated by most farmers, making it an indicator of the Indonesian economy. Where the price of rice is a reflection of a country's ability to manage its economy. Rice productivity is decreasing because there are many obstacles faced by farmers such as superior seeds, fertilizers, pest eradication drugs, plant diseases, and labor in the agricultural sector. This study proposes the use of the K-Medoids method to determine the high and low productivity of rice in the province. The research results obtained were Cluster 1 (low) = 17 provinces, Cluster 2 (moderate) = 7 Provinces, and Cluster 3 (High) = 10 Provinces.