Alfarabi, Ferdi (2025) Sistem Pendukung Keputusan Menentukan Peternak Produksi Terbaik Menggunakan Metode Simple Additive Weighting (saw). Other thesis, Universitas Islam Riau.
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Abstract
PT. Andalan Sehat is a poultry farming partnership company with branches throughout Indonesia, one of which is located in the Rokan Hulu Regency of Riau Province. Every day, farmers are required to report sample data on the development of broiler chickens. Based on the submitted sample data, the analysis team manually compares the data of each farmer and decides which farmer has the best production to be recommended for harvesting. However, this process presents several issues, such as discrepancies between the results and the data submitted, as well as a lack of transparency in the calculation process. This often leads to misunderstandings between PT. Andalan Sehat and the farmers. Given these problems, there is a need for a Decision Support System (DSS) that can facilitate farmers in reporting sample data and ensure information transparency, thus promoting fairness among all farmers. The method used is the Simple Additive Weighting (SAW) method. This method is implemented into a decision support system that provides transparent ranking results, accessible by all partner farmers of PT. Andalan Sehat. Based on the result of the system implementation carried out on 10 sample farmer data. Produces the final value of each alternative sample data, the highest value is 0.903 in the name of farmer Susi, which is ranked 1, meaning it is recommended for harvest.
Item Type: | Thesis (Other) |
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Contributors: | Contribution Contributors NIDN/NIDK Sponsor Labellapansa, Ause 1018088102 |
Uncontrolled Keywords: | Decision Support System, DSS, Simple Additive Weighting, SAW, Broiler Chickens. |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
Divisions: | > Teknik Informatika |
Depositing User: | Putri Aulia Ferti |
Date Deposited: | 10 Sep 2025 06:10 |
Last Modified: | 10 Sep 2025 06:10 |
URI: | https://repository.uir.ac.id/id/eprint/28625 |
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