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ITS » Undergraduate Theses » S1 Teknik Elektro
Posted by dewi007 at 08/05/2009 10:55:31  •  6141 Views


SISTEM PENYIRAMAN TAMAN OTOMATIS MENGGUNAKAN ALGORITMA FUZZY LOGIC YANG DIIMPLEMENTASIKAN DALAM MIKROKONTROLER AVR

AUTOMATIC SPRINKLER SYSTEM USING FUZZY LOGIC ALGORITHM IMPLEMENTATED INTO AVR MICROCONTROLLER

Author :
Muhajirin, Irin 




ABSTRAK

Sampai saat ini untuk menyiram taman beberapa orang masih menggunakan cara yang manual yaitu dengan selang penyemprot atau alat yang lainnya cara ini tidak efektif untuk saat ini. Permasalahan tersebut dapat diatasi dengan melakukan penyiraman secara otomatis salah satu cara yang dapat dilakukan adalah dengan menggunakan Fuzzy Logic Controller yang terintegrasi dengan sensor suhu kadar air tanah dan rangkaian sistem mikrokontroler. Metoda Fuzzy Logic yang digunakan adalah metoda Min-Max fuzzy logic inference method dan Center of Gravity COG yang keluaranya lama penyiraman. Dari salah satu hasil pengujian pada suhu 29.69 dan kadar air tanah 10.35 kgkg didapat lama penyiraman 112 detik dan pada akhir penyiraman didapat kadar air tanah 37.69 kg.kg-1. Lamanya penyiraman bergantung pada besarnya nilai yaitu suhu dan kadar air tanah. Dari proses implementasi terbukti bahwa sensor kadar air tanah yang diletakkan di tanah taman dan suhu yang diletakkan di luar yang terintegrasi dengan mikrontroler untuk proses kontrol dapat digunakan untuk menyiram taman secara otomatis. Diharapkan alat ini dapat dikembangkan karena dapat mempermudah manusia untuk menyiram taman secara otomatis dan juga dapat melestarikan alam.


ABSTRACT

For a long time some people still using a manual method to sprinkle some plant with a manual water spray or another equipment however this methods is not effective in nowadays. These problems can be solved by implementation of automatically sprinkle one of those ways is using Fuzzy Logic Controller which integrated with temperature and soil moisture sensor and microcontroller system. Fuzzy logic method use of Min-Max fuzzy logic inference method and Center of Gravity COG for sprinkle time. The result of experiment at temperature 29.69 and 10.35 kg.kg-1 soil moisture obtained that sprinkle time needed is 112 seconds and 37.69 kg.kg-1 in the end of sprinkle. Sprinkle duration depend on temperature and soil moisture value. From implementation process proven that soil moisture sensor which put in soil and temperature which put outside can be integrated automatically with microcontroller for control process to sprinkle the garden. Its expected that the development of this devices can be implementated so that make human easier to sprinkle the garden automatically and to preserve the nature.



KeywordsTaman; otomatis; Fuzzy Logic; Min-Max; COG; Mikrokontroler
 
Subject:  Otomasi
Contributor
  1. Ir. Harris Pirngadi, MT.
    Dr. Muhammad Rivai,ST, MT.
Date Create: 08/05/2009
Type: Text
Format: pdf.
Language: Indonesian
Identifier: ITS-Undergraduate-3100008033651
Collection ID: 3100008033651
Call Number: RSE 629.89 Muh s


Source
Undergraduate Theses of Electrical Engineering, RSE 629.89 Muh s, 2008

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