DALLE, Sonya Na'omi (2022) Sistem Pendukung Keputusan Pemilihan Pestisida Terbaik Untuk Pemeliharaan Daun Pada Tanaman Tomat Menggunakan Metode SAW (Simple Additive Weighting) Berbasis Website. Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.
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Abstract
The climatic conditions in Indonesia are very suitable for plant cultivation. Tomato (Solanum lycopersicum) is a plant that is commonly cultivated by farmers in Indonesia. In tomato cultivation, there are many things that need to be considered, one of the important parts that need to be considered in tomato plants is the leaves. The important thing that needs to be considered in tomato cultivation is the presence of plant-disturbing organisms, especially on the leaves. To overcome the Plant Pest Organisms (OPT) by using pesticides regularly. Pesticides are chemicals that are often used by farmers to protect and eradicate pests on plants. In choosing the best pesticides for tomato plant leaves, it is certainly not easy, tomato farmers are often wrong in choosing pesticides for tomato leaf maintenance due to the lack of understanding of tomato farmers about pesticides and also due to the many types of pesticides circulating in the market that confuse farmers, so a Decision Support System for Selection of Pesticides for Leaf Maintenance on Tomato Plants Using the Website-based SAW (Simple Additive Weighting) method with the aim of helping tomato farmers make decisions in selecting the best pesticides for tomato leaf maintenance, providing information about pesticides, implementing the Simple Additive Weighting method in calculations to get the right and accurate decisions so as to increase profits for tomato farmers.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | SPK, SAW, Pesticide, Tomato Leaf. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Fakultas Teknik > Program Studi Ilmu Komputer |
Depositing User: | S.Kom Sonya Na'omi Dalle |
Date Deposited: | 15 Aug 2022 01:20 |
Last Modified: | 15 Aug 2022 01:20 |
URI: | http://repository.unwira.ac.id/id/eprint/7660 |
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