eprintid: 39767 rev_number: 10 eprint_status: archive userid: 12259 dir: disk0/00/03/97/67 datestamp: 2020-07-21 02:46:18 lastmod: 2020-07-21 02:46:18 status_changed: 2020-07-21 02:46:18 type: thesis metadata_visibility: show creators_name: Yudi Istianto, NIM. 18206050003 title: KLASIFIKASI KEBUTUHAN JUMLAH PRODUK MAKANAN CUSTOMER MENGGUNAKAN K-MEANS CLUSTERING DENGAN OPTIMASI PUSAT AWAL CLUSTER ALGORITMA GENETIKA ispublished: pub subjects: TB divisions: S2_inf full_text_status: restricted keywords: K-means, Clustering, Genetic Algorithm note: Dr. Shofwatul 'Uyun, S.T., M.Kom abstract: PT.XYZ is one of the companies in Yogyakarta engaged in the production and distribution of bakery food products. Every consumer has an irregular amount of bread needs while bread can only last for two days. Bread that is more than two days old will be replaced by a new one by the distributor which causes losses for the company. This study tries to apply data mining to classify the number of customer needs for food products using k-means clustering with optimization initial cluster center genetic algorithm. In this study 210 data were used from product sales for three weeks. The data will be processed by applying the data mining method with preprocessing before going through the classification stage. Preprocessing includes data transformation and k-means clustering. The results of clustering that require certain rules are more effective with optimization because of 210 data there are 200 data that are worth entering the classification stage. The results of the test get the best accuracy of 58.50% and crossvalidation for five fold managed to get an average accuracy of 50.58% greater than 2.51% of KNN without preprocessing. date: 2020-04-24 date_type: published pages: 169 institution: UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA department: Pascasarjana thesis_type: masters thesis_name: other citation: Yudi Istianto, NIM. 18206050003 (2020) KLASIFIKASI KEBUTUHAN JUMLAH PRODUK MAKANAN CUSTOMER MENGGUNAKAN K-MEANS CLUSTERING DENGAN OPTIMASI PUSAT AWAL CLUSTER ALGORITMA GENETIKA. Masters thesis, UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA. document_url: https://digilib.uin-suka.ac.id/id/eprint/39767/1/18206050003_BAB-I_V.pdf document_url: https://digilib.uin-suka.ac.id/id/eprint/39767/2/18206050003_BAB-II_sampai_BAB-IV.pdf