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https://repositori.uma.ac.id/handle/123456789/29840Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Siregar, Muhammad Fadlan | - |
| dc.contributor.author | Ginting, Samuel Fernando | - |
| dc.date.accessioned | 2026-04-29T03:58:18Z | - |
| dc.date.available | 2026-04-29T03:58:18Z | - |
| dc.date.issued | 2025-09 | - |
| dc.identifier.uri | https://repositori.uma.ac.id/handle/123456789/29840 | - |
| dc.description | 45 Halaman | en_US |
| dc.description.abstract | Pertanian perairan, termasuk budidaya ikan, telah menjadi sektor vital dalam menyediakan pasokan protein hewani bagi populasi dunia yang terus berkembang. Namun, tantangan signifikan dihadapi oleh para petani ikan, mulai dari fluktuasi kualitas air, ketersediaan pakan yang konsisten, hingga manajemen yang efektif terhadap populasi ikan. Oleh karena itu di lakukan sebuah riset yang bertujuan untuk merancang dan mambangun alat pemberi makan pada ikan otomatis berbasis Internet Of Things (IOT), Mengaplikasikan IoT (Internet Of Things) sebagai konsep jaringan internet yang menjadi penghubung antar sistem perangkat keras serta. Sistem ini bekerja secara otomatis yang nantinya akan di kendalikan oleh mikrokontroler Nodemcu sebagai otak sistem, dengan sensor pH sebagai pendeteksi kondisi pH air, serta output motor servo untuk pemberi pakan otomatis, hasil sistem bekerja sesuai dengan keingian peneliti, dibuktikan dengan sensor pH yang secara otomatis dapat membaca nilai pH air kolam ikan, nilai pH air akan dapat di monitoring menggunakan IoT, sehingga pengguna akan dapat memantau kondisi kolam ikan secara real time, lalu pemberikan pakan otomatis menggunakan Real Time Clock sebagai indikator untuk memberikan pakan ikan sesuai waktu yang di inginkan, waktu pemberian pakan yaitu ketika pagi pukul 07:00, siang pukul 12:00 dan sore pukul 17:00 , sehingga di waktu tersebut motor servo akan on selama 5 detik. Lalu akan tertutup secara otomatis, seluruh sistem juga di tampilkan di LCD dan di aplikasi Blink IoT. Aquatic agriculture, including fish farming, has become a vital sector in providing animal protein supplies to the world's growing population. However, significant challenges are faced by fish farmers, ranging from fluctuations in water quality, consistent feed availability, to effective management of fish populations. Therefore, a research was carried out which aimed to design and build an automatic fish feeding device based on the Internet of Things (IOT), applying IoT (Internet of Things) as an internet network concept which is a link between hardware systems and. This system works automatically which will later be controlled by the Nodemcu microcontroller as the brain of the system, with a pH sensor as a detector for the pH condition of the water, as well as a servo motor output for automatic feeding, the results of the system working in accordance with the researchers' wishes, as evidenced by the pH sensor which can automatically read the pH value of the fish pond water, the pH value of the water can be monitored using IoT, so that users will be able to monitor the condition of the fish pond in real time, then provide automatic feeding using the Real Time Clock as an indicator to provide fish food at the desired time, the feeding time is in the morning. 07:00, noon 12:00 and afternoon 17:00, so at that time the servo motor will be on for 5 seconds. Then it will close automatically, the entire system is also displayed on the LCD and in the Blink IoT application. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Medan Area | en_US |
| dc.relation.ispartofseries | NPM;198120043 | - |
| dc.subject | Pakan Ikan | en_US |
| dc.subject | Nodemcu | en_US |
| dc.subject | Internet Of Things | en_US |
| dc.subject | Sensor pH | en_US |
| dc.subject | Fish Feed | en_US |
| dc.subject | Nodemcu | en_US |
| dc.subject | Internet Of Things | en_US |
| dc.title | Sistem Smart Fish Pond Berbasis Internet of Things | en_US |
| dc.title.alternative | Smart Fish Pond System Based on Internet of Things | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | SP - Electrical Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 198120043 - Samuel Fernando Ginting - Fulltext.pdf | Cover, Abstract, Chapter I, II, III, V, Bibliography | 1.01 MB | Adobe PDF | View/Open |
| 198120043 - Samuel Fernando Ginting - Chapter IV.pdf Restricted Access | Chapter IV | 432.05 kB | Adobe PDF | View/Open Request a copy |
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