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Superior Hybrid Corn Variety Selection using AHP Method
Aji Santoso1, Phong Thanh Nguyen2, M. Ilayaraja3, K. Shankar4, Satria Abadi5, Wahidah Hashim6, Andino Maseleno7
1Aji Santoso, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
2Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
3M. Ilayaraja, Department of Computer Science and Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India.
4K. Shankar, Department of Computer Applications, Alagappa University, Karaikudi, India.
5Satria Abadi, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
6Wahidah Hashim, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
7Andino Maseleno, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 1018-1021 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F13090886S219/19©BEIESP | DOI: 10.35940/ijeat.F1309.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Corn is one of the economic support from the agricultural sector which has recently shown a positive impact with increasing production from year to year, it has increased to 12.49% per year and is predicted to increase. Increasing corn production has had a very positive impact on economy, reduced imports and increased exports greatly helped Indonesia in improving the economy. Therefore the government strongly supports corn farming in Indonesia so that the government and farmers are aggressively looking for superior seeds for planting, with a faster harvest period and resistance to pests, a decision support system is made to select superior corn varieties with AHP method (analytical hierarchy process). In order to facilitate farmers in selecting superior and profitable types of corn. With this decision support system, it is expected that it can help in selecting the right and accurate corn varieties according to the farmer expectation.
Keywords: DSS, AHP, Hybrid Corn.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques