PENGGUNAAN DATA MINING UNTUK MENCARI ATURAN ASOSIATIF DARI DATABASE PENGOBATAN PADA KLINIK AMANAH KABUPATEN SLEMAN PROPINSI DIY DENGAN METODE QUANTITATIVE ASSOCIATION RULES
| Main Authors: | , arif arizal, , Drs. Edi Winarko, M.Sc., Ph.D |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2012
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/101016/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=57093 |
Daftar Isi:
- The problem of association rules discovery between medicine item combination and quantities, occurred at many hospitals and health clinics agencies, they are difficulty in predicting or estimating medicine needs and discovering association between the medicine with other medicine. This study focus on discovering association rules of medicine and quantities medicine of prescription provided by a doctor, in this study we use quantitative association rules methods and Lqtid algorithms. We found 14 interesting rule, 303 new items generated in the mapping process, and the support of quantitative association rules will decrease drastically as the effect of new items generated in partition and mapping process.