PENERAPAN METODE SIMPLE ADDTIVE WEIGHTING DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JENIS TANAMAN HIDROPONIK
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Siregar, Valentia Titanova
Djamain, Yasni
Rakhmadi, Rakhmadi
Djamain, Yasni
Rakhmadi, Rakhmadi
Subject
Teknik Informatika
Datestamp
2023-06-21 08:01:51
Abstract :
Bintaro Hydroponic Farm has conducted many experiments with hydroponic farming with various types of plants, but from this farming experiment, it is still not clear which plants are the most optimal for planting. The purpose of this research is to determine the selection of hydroponic plant species to get better results. So from these problems a decision support system is needed to determine the optimal type of hydroponic plants according to the environmental situation at the farm using the SAW (Simple Additive Weighting) method. The criteria used consist of 5 criteria which include; nutrition, ph level, time of seedling, temperature and raw water for nutrition. The result of this research is a website-based decision support system that makes it easier for people to determine the type of hydroponic plants that are suitable for the environment. The results of the calculation of the SAW method, namely the highest value is Pakcoy with a value of 98% and the lowest value is lettuce 67%, the results of alternative testing using Mean Absolute Percentage Error (MAPE) produce an error value of 1% which indicates the results are very accurate.
Bintaro Hydroponic Farm has conducted many experiments with hydroponic farming with various types of plants, but from this farming experiment, it is still not clear which plants are the most optimal for planting. The purpose of this research is to determine the selection of hydroponic plant species to get better results. So from these problems a decision support system is needed to determine the optimal type of hydroponic plants according to the environmental situation at the farm using the SAW (Simple Additive Weighting) method. The criteria used consist of 5 criteria which include; nutrition, ph level, time of seedling, temperature and raw water for nutrition. The result of this research is a website-based decision support system that makes it easier for people to determine the type of hydroponic plants that are suitable for the environment. The results of the calculation of the SAW method, namely the highest value is Pakcoy with a value of 98% and the lowest value is lettuce 67%, the results of alternative testing using Mean Absolute Percentage Error (MAPE) produce an error value of 1% which indicates the results are very accurate.
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