Arief C, Purwanto YA, Suhardiyanto H, Chadirin Y. Aplikasi Jaringan Syaraf Tiruan (JST) untuk Pendugaan Suhu Larutan Nutrisi yang Disirkulasikan dan Didinginkan Siang-Malam pada Tanaman Tomat Hidroponik. JTEP [Internet]. 2014Jan.5 [cited 2024Jul.1];24(2). Available from: https://jurnal.ipb.ac.id/index.php/jtep/article/view/%20Abstract%20%20Cultivation%20of%20tomato%20plant%20under%20hydroponics%20system%20in%20the%20greenhouse%20is%20suitable%20way%20to%20improve%20fruit%20quality%20since%20it%20is%20easier%20to%20control%20environmental%20parameters.%20In%20this%20system%2C%20water%20and%20nutrition%20are%20two%20important%20things%20for%20plant%20to%20growth.%20In%20the%20tropical%20area%20such%20as%20Indonesia%2C%20air%20temperature%20is%20main%20constraint%20in%20the%20plant%20production%20system.%20Increasing%20air%20temperature%20inside%20the%20greenhouse%20has%20positive%20correlation%20to%20the%20raising%20temperature%20of%20nutrient%20solution%20which%20affected%20to%20the%20ability%20of%20the%20plant%20to%20absord%20the%20nutrition.%20The%20effective%20way%20to%20anticipate%20increasing%20of%20its%20temperature%20is%20by%20using%20the%20cooling%20system%20of%20nutrient%20solution%20before%20circulated%20to%20the%20plant.%20This%20paper%20presented%20the%20application%20of%20Articificial%20Neural%20Network%20%28ANN%29%20to%20estimate%20the%20temperature%20of%20nutrient%20solution%20which%20was%20cooled%20on%20day-night%20time%20and%20circulated%20to%20the%20plant.%20ANN%20models%2C%20called%20time%20delay%20neural%20network%2C%20consist%20of%203%20layers%20with%204%20input%20nodes%20and%201%20output%20node.%20As%20input%20model%20were%20t%20%28time%29%2C%20Tg%28i%29%20%28air%20temperature%20inside%20the%20greenhouse%20on%20time%20i%29%2C%20Tt%28i%29%20%28temperature%20of%20nutrient%20solution%20in%20the%20tank%20on%20time%20i%29%2C%20Tb%28i-1%29%20%28temperature%20of%20nutrient%20solution%20in%20the%20plant%20plots%20on%20time%20i-1%29%20and%20as%20output%20model%20was%20Tb%28i%29%20%28temperature%20of%20nutrient%20solution%20in%20the%20plant%20plots%20on%20time%20i%29.%20The%20model%20was%20developed%20well%20with%20validation%20result%20better%20than%20heat%20transfer%20model%20previously%20indicated%20by%20coefficient%20determination%20%28R2%29%20of%200.9498.%20Keywords%3A%20cooling%2C%20nutrient%20solution%2C%20hydroponic%2C%20tomato%2C%20artificial%20neural%20network%20%20%20Diterima%3A%2015%20Juni%202010%3B%20Disetujui%3A%2030%20juli%202010%C2%A0%20%20