Wulandari, Dini Fitri (2025) Sistem Monitoring Pemberian Pakan Ikan Otomatis Berbasis Internet of Things (IoT) Menggunakan ESP32 Berdasarkan Usia. S1 thesis, Universitas PGRI Madiun.
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1. HALAMAN DEPAN (COVER DEPAN sd DAFTAR LAMPIRAN)..pdf Download (669kB) |
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2. ABSTRAK (INDONESIA & INGGRIS).pdf Download (191kB) |
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3. BAB I.pdf Download (232kB) |
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4. BAB II.pdf Download (279kB) |
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5. BAB III.pdf Restricted to Repository staff only Download (302kB) | Request a copy |
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6. BAB IV.pdf Restricted to Repository staff only Download (1MB) | Request a copy |
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7. BAB V.pdf Download (193kB) |
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8. DAFTAR PUSTAKA.pdf Download (147kB) |
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9. LAMPIRAN-LAMPIRAN.pdf Restricted to Repository staff only Download (3MB) | Request a copy |
Abstract
The increasing demand for fish consumption has encouraged many fish farmers to innovate in the feeding system. However, the manual feeding process has weaknesses such as inaccuracy of time and dependence on the presence of farmers. Therefore, an Automatic Fish Feeding Monitoring System Based on Internet of Things (IoT) Using ESP32 Based on Age was designed which is able to provide feed automatically and on schedule for two different ponds, namely young fish ponds and adult fish ponds. This system uses an ESP32 microcontroller connected to the Blynk application as a remote monitoring and control interface. The system design was carried out using the prototype method with gradual testing stages. With the integration between hardware and software, this system is able to run feeding according to schedule or manually, and provide notifications via the application. The test results show that the system runs well and can be used to help the efficiency of fish farming. Keywords: Fish farming, automatic feed, ESP32, Blynk, prototype
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
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| Kata Kunci: | Budidaya ikan, pakan otomatis, ESP32, Blynk, prototype |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | WULANDARI FITRI DINI |
| Date Deposited: | 12 Aug 2025 07:56 |
| Last Modified: | 12 Aug 2025 07:56 |
| URI: | http://eprint.unipma.ac.id/id/eprint/3693 |
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