Please use this identifier to cite or link to this item:
http://repository.ukrida.ac.id//handle/123456789/124Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tandipuang, Frahselia | - |
| dc.contributor.author | Hayat, Cynthia | - |
| dc.contributor.author | Sagala, Noviyanti | - |
| dc.date.accessioned | 2020-03-16T08:21:06Z | - |
| dc.date.available | 2020-03-16T08:21:06Z | - |
| dc.date.issued | 2020-01 | - |
| dc.identifier.issn | E-ISSN : 2338-0403 ; P-ISSN : 2620-4002 | - |
| dc.identifier.uri | http://repository.ukrida.ac.id//handle/123456789/124 | - |
| dc.description.abstract | n/a | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Department of Computer Engineering, Universitas Diponegoro | en_US |
| dc.relation.ispartofseries | 8;1 | - |
| dc.subject | deficiency early diagnose | en_US |
| dc.subject | fat-soluble vitamin deficiency | en_US |
| dc.title | Identification of Fat-Soluble Vitamins Deficiency using Artificial Neural Network | en_US |
| dc.type | Journal | en_US |
| Appears in Collections: | Form review | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Peer Review Identification of fat soluble.pdf | 3.15 MB | Adobe PDF | View/Open |
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