| dc.contributor.advisor | Priandana, Karlisa | |
| dc.contributor.advisor | Akbar, Auriza Rahmad | |
| dc.contributor.author | Hafiduddin, Muhammad | |
| dc.date.accessioned | 2022-12-21T23:42:29Z | |
| dc.date.available | 2022-12-21T23:42:29Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/115637 | |
| dc.description.abstract | Sistem irigasi otomatis berbasis sensor merupakan salah satu aplikasi dari pertanian presisi. Sistem irigasi sawah saat ini masih banyak menggunakan metode irigasi konvensional yang boros air. Oleh karena itu, penelitian ini bertujuan mengembangkan sistem irigasi cerdas di lahan sawah percontohan 4.0 IPB berdasarkan informasi dari real-time sensors menggunakan algoritme Fuzzy. Penelitian ini terdiri dari tahapan pengembangan node sensor, pengembangan algoritme pengambil keputusan, integrasi dengan platform IoT, pengembangan node aktuator, dan pengujian akhir. Setelah dilakukan pengujian, sistem sudah berhasil mengambil data dari lingkungan dan menghasilkan keputusan dari algoritme pengambil keputusan dengan baik sesuai dengan basis aturan yang telah ditentukan. Sistem juga telah berhasil terhubung ke server Thinger.io dan kemudian menggerakkan aktuator dengan baik. Sistem dapat mengontrol jumlah air yang perlu disalurkan ke lahan namun belum bisa mengontrol tingkat air di lahan akibat faktor selain irigasi. | id |
| dc.description.abstract | Sensor-based automatic irrigation system is one of the applications of precision agriculture. Currently, the rice field irrigation system still uses conventional irrigation methods that waste water. Therefore, this study aims to develop a smart irrigation system in the pilot 4.0 IPB rice fields based on information from real-time sensors using Fuzzy algorithm. This research consists of the stages of sensor node development, decision-making algorithm development, connecting system to IoT platform , actuator node development, and final testing. After testing, the system has succeeded in taking data from the environment and producing decisions from the decision-making algorithm properly according to the predetermined rule base. The system has also successfully connected to the Thinger.io server and then moved the actuator well. The system can control the amount of water that needs to be distributed to the land but cannot control the water level in the land due to factors other than irrigation. | id |
| dc.language.iso | id | id |
| dc.publisher | IPB University | id |
| dc.title | Pengembangan Sistem Irigasi Cerdas untuk Tanaman Padi Varietas IPB 3S pada Lahan Sawah 4.0 IPB Menggunakan Algoritme Fuzzy Sugeno | id |
| dc.type | Undergraduate Thesis | id |
| dc.subject.keyword | Fuzzy Algorithm | id |
| dc.subject.keyword | IoT | id |
| dc.subject.keyword | Irrigation | id |
| dc.subject.keyword | Rice Field | id |
| dc.subject.keyword | Wireless Sensor Network | id |
