HERINDRA, Likco Desvian and Syafei, Wahyul Amien and Wibowo, Adi (2022) SISTEM INFORMASI PENYIRAMAN TANAMAN PERTANIAN PADA RUMAH KASA BERBASIS INTERNET OF THINGS (IOT) MENGGUNAKAN ALGORITMA RULE BASED EXPERT SYSTEM. Masters thesis, School of Postgraduate Studies.

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Abstract

Sistem penyiraman tanaman yang dioperasikan belum dilakukan berdasarkan data real-time di lapangan karena kendala cakupan lahan yang luas. Penelitian ini bertujuan untuk merancang bentuk dan realisasi sistem Internet of Thing (IoT) pada sistem penyiraman tanaman pintar yang memonitor kebutuhan air bagi tanaman di lahan pertanian. Sistem ini sangat bermanfaat sehingga dapat membantu memudahkan petani dalam mengelola sistem penyiraman tanaman dan mengurangi risiko kematian tanaman akibat kekurangan dan kelebihan air. Penelitian ini menyarankan solusi untuk masalah tersebut dengan mengembangkan sistem penyiraman tanaman pintar dengan jaringan IoT, yang dapat mengoperasikan proses penyiraman tanaman secara otomatis berdasarkan sensor data yang diletakkan di lapangan. Sistem IoT terdiri dari sensor piezometer, suhu, kelembaban, sensor lengas tanah dan output menggunakan sistem tenaga surya untuk mengoperasikan pompa air penyiraman tanaman. Sistem memiliki pengetahuan proses pengambilan keputusan yang dilengkapi dengan Artificial Intelligence (AI) yang menggunakan algoritma rule-based expert system di rumah kasa dengan NodeMCU. Berdasarkan hasil dari perhitungan rata-rata terhadap 17 responden dengan 8 pertanyaan maka dapat disimpulkan bahwa sistem informasi penyiraman tanaman pada rumah kasa dikatakan baik. Hasil pengujian validasi menunjukkan bahwa output yang dihasilkan menentukan rekomendasi berdasarkan data sistem penyiraman tanaman menghasilkan nilai kecocokan antara sistem dengan pakar sebanyak 23.882 data maka dapat ditarik kesimpulan bahwa akurasi dari rule based expert system untuk sistem penyiraman tanaman di rumah kasa dapat dinyatakan sudah berjalan dengan baik.
Kata Kunci: Rule based expert system, IoT, Piezometer, NodeMCU

The plant watering system that has been operated has not been carried out based on real-time data in the field due to constraints on wide land coverage. This study aims to design the form and realization of an Internet of Thing (IoT) system on a smart plant watering system that monitors water needs for plants on agricultural land. This system is very useful so that it can help make it easier for farmers to manage crop watering systems and reduce the risk of plant death due to lack and excess of water. This study suggests a solution to this problem by developing a smart plant watering system with an IoT network, which can operate the plant watering process automatically based on sensor data placed in the field. The IoT system consists of piezometer sensors, temperature, humidity, soil moisture sensors and output using a solar power system to operate a water pump for watering plants. The system has knowledge of the decision-making process equipped with Artificial Intelligence (AI) using a rule-based expert system algorithm in a screen house with NodeMCU. Based on the results of the average calculation of 17 respondents with 8 questions, it can be concluded that the information system for watering plants in the screen house is said to be good. The results of the validation test indicate that the output produced determines the recommendations based on the data of the plant watering system resulting in a compatibility value between the system and the expert as much as 23,882 data, it can be concluded that the accuracy of the rule based expert system for the plant watering system in the screen house can be declared to have been running well.
Keywords: Rule based expert system, IoT, Piezometer, NodeMCU

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