Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method
caterpillar; data analysis; decision support system; fungus; fuzzy system; geographic information system; leaf damage; leafhopper; Lepidoptera; nonhuman; plant disease; Review; Scirpophaga innotata; spot blotch; system analysis; wheat
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Review |
| Published: |
Advanced Scientific Research
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-25021 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-250212023-05-29T15:30:30Z Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method Abadi S. Hawi A. Akla Dacholfany I. Huda M. Teh K.S.M. Walidi J. Hashim W. Maseleno A. 57203514043 57208524841 57207888935 57196084106 56712456800 56287877400 57208526589 11440260100 55354910900 caterpillar; data analysis; decision support system; fungus; fuzzy system; geographic information system; leaf damage; leafhopper; Lepidoptera; nonhuman; plant disease; Review; Scirpophaga innotata; spot blotch; system analysis; wheat The process of disease identification of paddy must be in accordance with predetermined criteria. To assist in selecting the determination of participants, they must identify disease characteristics, a decision support system is needed. One method that can be used for decision support systems is FMADM (Fuzzy Multiple Addective Decision Making). Where in this study using the method of SAW (Simple Addictive Weighted) is to find the best alternative from several alternatives. Where the best alternative is based on predetermined criteria. This method was chosen because it was able to choose the best alternative, namely the best identification based on the criteria entered, then look for the weight score of each attribute, after the process of looking for ranking to get the best alternative, namely disease in paddy. � 2019, Advanced Scientific Research. All rights reserved. Final 2023-05-29T07:30:30Z 2023-05-29T07:30:30Z 2019 Review 10.31838/ijpr/2019.11.01.093 2-s2.0-85065020016 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065020016&doi=10.31838%2fijpr%2f2019.11.01.093&partnerID=40&md5=d050fcbea9b9669a0dab46355449e9b3 https://irepository.uniten.edu.my/handle/123456789/25021 11 1 695 699 Advanced Scientific Research Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
caterpillar; data analysis; decision support system; fungus; fuzzy system; geographic information system; leaf damage; leafhopper; Lepidoptera; nonhuman; plant disease; Review; Scirpophaga innotata; spot blotch; system analysis; wheat |
| author2 |
57203514043 |
| author_facet |
57203514043 Abadi S. Hawi A. Akla Dacholfany I. Huda M. Teh K.S.M. Walidi J. Hashim W. Maseleno A. |
| format |
Review |
| author |
Abadi S. Hawi A. Akla Dacholfany I. Huda M. Teh K.S.M. Walidi J. Hashim W. Maseleno A. |
| spellingShingle |
Abadi S. Hawi A. Akla Dacholfany I. Huda M. Teh K.S.M. Walidi J. Hashim W. Maseleno A. Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method |
| author_sort |
Abadi S. |
| title |
Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method |
| title_short |
Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method |
| title_full |
Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method |
| title_fullStr |
Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method |
| title_full_unstemmed |
Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method |
| title_sort |
identification of sundep, leafhopper and fungus of paddy by using fuzzy saw method |
| publisher |
Advanced Scientific Research |
| publishDate |
2023 |
| _version_ |
1806425516707676160 |
| score |
13.211869 |