The best land selection using simple additive weighting
Pringsewut Regency is an agrarian regency with the main livelihood of the population is from agro-industry agriculture. For on farm farming activities, a lot of cultivated commodities are food crops and rice crops. One of the key factors in creating equitable distribution of development or regional...
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my.uniten.dspace-129822020-07-07T02:53:11Z The best land selection using simple additive weighting Ayshwarya, B. Firdiansah, F.A. Alfian, F.Y. Nguyen, P.T. Hashim, W. Shankar, K. Abadi, S. Peteraitis, S.K. Maseleno, A. Pringsewut Regency is an agrarian regency with the main livelihood of the population is from agro-industry agriculture. For on farm farming activities, a lot of cultivated commodities are food crops and rice crops. One of the key factors in creating equitable distribution of development or regional development and the right one result is the agricultural factor. While to know the feasibility of an agricultural area can be done by holding an assessment. The Assessment is made by Agriculture office in deciding the feasibility of agricultural areas include the assessment criteria of a region. The criteria of a region that is the type of soil, rainfall, water, temperature, and soil texture. Utilization of decision support system is very helpful in deciding the feasibility of agricultural area, and accompanied by the method of Simple Additive Weighting (SAW), this method can complete the research by finding the weigh value for each attribute, then perform the ranking process that will determine the optimal alternative that is feasible for agriculture. With the decision support system with Simple Additive Weighting (SAW) method and with object oriented design using Unified Modeling Language (UML) this will make it easier for Agriculture Office and other institutions to monitor and to obtain information about agriculture that is useful for agricultural development. © 2019, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved. 2020-02-03T03:28:16Z 2020-02-03T03:28:16Z 2019 Article 10.35940/ijrte.B1278.0782S319 en |
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Pringsewut Regency is an agrarian regency with the main livelihood of the population is from agro-industry agriculture. For on farm farming activities, a lot of cultivated commodities are food crops and rice crops. One of the key factors in creating equitable distribution of development or regional development and the right one result is the agricultural factor. While to know the feasibility of an agricultural area can be done by holding an assessment. The Assessment is made by Agriculture office in deciding the feasibility of agricultural areas include the assessment criteria of a region. The criteria of a region that is the type of soil, rainfall, water, temperature, and soil texture. Utilization of decision support system is very helpful in deciding the feasibility of agricultural area, and accompanied by the method of Simple Additive Weighting (SAW), this method can complete the research by finding the weigh value for each attribute, then perform the ranking process that will determine the optimal alternative that is feasible for agriculture. With the decision support system with Simple Additive Weighting (SAW) method and with object oriented design using Unified Modeling Language (UML) this will make it easier for Agriculture Office and other institutions to monitor and to obtain information about agriculture that is useful for agricultural development. © 2019, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved. |
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Article |
author |
Ayshwarya, B. Firdiansah, F.A. Alfian, F.Y. Nguyen, P.T. Hashim, W. Shankar, K. Abadi, S. Peteraitis, S.K. Maseleno, A. |
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Ayshwarya, B. Firdiansah, F.A. Alfian, F.Y. Nguyen, P.T. Hashim, W. Shankar, K. Abadi, S. Peteraitis, S.K. Maseleno, A. The best land selection using simple additive weighting |
author_facet |
Ayshwarya, B. Firdiansah, F.A. Alfian, F.Y. Nguyen, P.T. Hashim, W. Shankar, K. Abadi, S. Peteraitis, S.K. Maseleno, A. |
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Ayshwarya, B. |
title |
The best land selection using simple additive weighting |
title_short |
The best land selection using simple additive weighting |
title_full |
The best land selection using simple additive weighting |
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The best land selection using simple additive weighting |
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The best land selection using simple additive weighting |
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best land selection using simple additive weighting |
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2020 |
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