Zulham, Zulham and Rusydi, Ibnu and Elyas, Ananda Hadi PATTERN ANALYSIS OF HEALTH EQUIPMENT PROCUREMENT SYSTEM USING THE FP-GROWTH ALGORITHM. ICoISSEE, 1 (1).
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Abstract
Abstract. The development of today's technology world requires researchers to find efficient and effective procurement strategies. The strategy is carried out to improve accuracy in the procurement process, namely Data Mining. The technique used in this strategy is the FP-Growth Algorithm. FP-Gowth is a technique that can determine the set of data that most often appears (Frequent Itemset) in a data set. FP-Growth is a development of the Apriori technique which uses the concept of tree development in searching for Frequent Itemset. This study observes several variables, namely, Procurement Number, Period, Name of Medical Devices, Category, Number, Unit. The results of this study can later be used for institutional needs in the procurement process. Besides that, software is produced to support the performance of the institution so that results can be more effective
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Teknik dan Ilmu Komputer > S1-Teknologi Informasi |
| Depositing User: | Unnamed user with email nanda@dharmawangsa.ac.id |
| Date Deposited: | 04 Dec 2023 03:52 |
| Last Modified: | 04 Dec 2023 03:52 |
| URI: | http://repository.dharmawangsa.ac.id/id/eprint/697 |
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