Fuzzy Logic using Tahani Model on Food
Commodity
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| dc.contributor.advisor |
ADRIYENDI, M.KOM. |
|
| dc.contributor.author |
ADRIYENDI, M.KOM. |
|
| dc.contributor.editor |
ADRIYENDI, M.KOM. |
|
| dc.date.accessioned |
2019-07-01T03:42:11Z |
|
| dc.date.available |
2019-07-01T03:42:11Z |
|
| dc.date.copyright |
Semua hak cipta dilindungi oleh Institut Agama Islam Negeri (IAIN) Batusangkar |
|
| dc.date.issued |
2019-05-10 |
|
| dc.identifier.issn |
2074-904X |
|
| dc.identifier.issn |
2074-9058 |
|
| dc.identifier.issn |
2074-9058 |
|
| dc.identifier.uri |
http://ecampus.iainbatusangkar.ac.id:80/batusangkar/FilePengajuanArtikel?id=31 |
|
| dc.description.abstract |
Seasonal vegetable plants are one of food commodity in Indonesia which contributed significantly in supporting the growth of national economy. Fuzzy Logic using Tahani Model is appropriate to analyze the harvested area, production, and yields of food commodity. It is based on query in fuzzy database. It is also can be proposed as recommendation for both government and entrepreneur in achieving in the target based on query. Target is main priority of food commodity. Fuzzy query is harvested area (medium), production (sufficient), and yield (normal). Non fuzzy query is commodity (export commodities), harvest (plants harvested several times), and form of product (fresh fruit). Result showed that eggplant (0.6587), tomato (0.6023), cucumber (0.5865), capsicum frutescens (0.2901), and capsicum annum (0.1581) as recommendation for priority of national food policy. |
|
| dc.language |
English |
|
| dc.publisher |
ADRIYENDI, M.KOM. |
|
| dc.subject |
Fuzzy logic, tahani model, food
commodity, query, database. |
|
| dc.title |
Fuzzy Logic using Tahani Model on Food
Commodity |
|
| dc.type |
Jurnal Internasional Bereputasi |
|
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