FMADM for determining superior commodity at agroindustry area

Indonesia has many excellent commodities that are spread throughout Indonesia, especially in Lampung province. Lampung Province has excellent commodities, among others: coffee, rubber, oil palm, cocoa and coconut. To determine the superior commodity in Lam-pung province, a decision support model is...

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Main Authors: Mulawarman A., Sudrajat A., Hendri N., Kamar K., Mulyadi D., Budiyanto G., Huda M., Latif A.A., Maseleno A.
Other Authors: 57207889593
Format: Article
Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-239812023-05-29T14:53:51Z FMADM for determining superior commodity at agroindustry area Mulawarman A. Sudrajat A. Hendri N. Kamar K. Mulyadi D. Budiyanto G. Huda M. Latif A.A. Maseleno A. 57207889593 57191247465 57207890356 57207889129 57438902400 57207890268 56712456800 46461488000 55354910900 Indonesia has many excellent commodities that are spread throughout Indonesia, especially in Lampung province. Lampung Province has excellent commodities, among others: coffee, rubber, oil palm, cocoa and coconut. To determine the superior commodity in Lam-pung province, a decision support model is needed to determine the superior commodities in the agroindustry. This study aimed to create a decision support model that can facilitate in determining the suitable and feasible priority of superior in agroindustry. The commodity is to be developed. The research was carried out by designing application that was developed by using computer programming language and applying the principle of system development by applying the best alternative decision-making method from certain criteria, namely Fuzzy Multiple Attribute Decision Making (FMADM). Fuzzy MADM is a method used to find optimal alternatives from a number of alternatives with certain criteria. This method was chosen because this method determines the weight for each attribute, followed by an alternative rating that will determine the superior commodity for agroindustry in Lampung Province based on the calculated weight using fuzzy formula to get more accurate results about the superior commodity in Lampung province. � 2018 Aditya Mulawarman et al. Final 2023-05-29T06:53:51Z 2023-05-29T06:53:51Z 2018 Article 2-s2.0-85063180664 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063180664&partnerID=40&md5=f80383d8c07bd37a2f078c082da312a6 https://irepository.uniten.edu.my/handle/123456789/23981 7 4 4667 4673 Science Publishing Corporation Inc 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 Indonesia has many excellent commodities that are spread throughout Indonesia, especially in Lampung province. Lampung Province has excellent commodities, among others: coffee, rubber, oil palm, cocoa and coconut. To determine the superior commodity in Lam-pung province, a decision support model is needed to determine the superior commodities in the agroindustry. This study aimed to create a decision support model that can facilitate in determining the suitable and feasible priority of superior in agroindustry. The commodity is to be developed. The research was carried out by designing application that was developed by using computer programming language and applying the principle of system development by applying the best alternative decision-making method from certain criteria, namely Fuzzy Multiple Attribute Decision Making (FMADM). Fuzzy MADM is a method used to find optimal alternatives from a number of alternatives with certain criteria. This method was chosen because this method determines the weight for each attribute, followed by an alternative rating that will determine the superior commodity for agroindustry in Lampung Province based on the calculated weight using fuzzy formula to get more accurate results about the superior commodity in Lampung province. � 2018 Aditya Mulawarman et al.
author2 57207889593
author_facet 57207889593
Mulawarman A.
Sudrajat A.
Hendri N.
Kamar K.
Mulyadi D.
Budiyanto G.
Huda M.
Latif A.A.
Maseleno A.
format Article
author Mulawarman A.
Sudrajat A.
Hendri N.
Kamar K.
Mulyadi D.
Budiyanto G.
Huda M.
Latif A.A.
Maseleno A.
spellingShingle Mulawarman A.
Sudrajat A.
Hendri N.
Kamar K.
Mulyadi D.
Budiyanto G.
Huda M.
Latif A.A.
Maseleno A.
FMADM for determining superior commodity at agroindustry area
author_sort Mulawarman A.
title FMADM for determining superior commodity at agroindustry area
title_short FMADM for determining superior commodity at agroindustry area
title_full FMADM for determining superior commodity at agroindustry area
title_fullStr FMADM for determining superior commodity at agroindustry area
title_full_unstemmed FMADM for determining superior commodity at agroindustry area
title_sort fmadm for determining superior commodity at agroindustry area
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806424471413719040
score 13.19449