Developing a Data Mining Approach to Investigate Association between demanders – A Study on PT Perkebunan Nusantara (PTPN) Indonesia

• Main Authors: Mira Aulia Dahlan, 蘭密雅
• Other Authors: Chao Ou-Yang
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/442kwv

碩士 === 國立臺灣科技大學 === 工業管理系 === 100 === PT Perkebunan Nusantara (PTPN) is a state-owned company which produces agricultural product. To sell its product, PTPN has subsidiary named KPBN which held an open bidding. In order to identify demander behavior and to investigate demander association, association between demanders can be identified using the apriori algorithm. It could be as a suggestion to that supplier to find the most potential demander. The behavior of demanders also may help the supplier to find out who the frequent bidder is. The process of this research is started with pre-processing the data that had already been collected for seven months, spliting those data into three groups, generating the association analysis, and then calculating the degree association to verify and validated the rule.