Mochamad Kelvin Fadhilah, - and Diky Zakaria, - and Liptia Venica, - (2025) PENGEMBANGAN AKUARIUM MULTI FITUR UNTUK PERAWATAN IKAN MAS KOKI DENGAN METODE FUZZY LOGIC BERBASIS INTERNET OF THINGS. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Permasalahan pemeliharaan ikan mas koki, seperti ketidakteraturan pemberian pakan, kualitas air yang tidak terpantau, dan pengurasan air yang sering diabaikan, dapat menyebabkan stres hingga kematian pada ikan. Penelitian ini bertujuan mengembangkan sistem akuarium multi fitur berbasis Internet of Things (IoT) dengan metode fuzzy logic untuk perawatan ikan mas koki. Sistem ini mencakup monitoring kualitas air dengan parameter suhu, pH, dan kekeruhan, pemberian pakan otomatis terjadwal, serta pengurasan dan pengisian air yang ditambahkan pemberian cairan bakteri starter. Metode yang digunakan adalah Research and Development (R&D) dengan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Sistem dirancang menggunakan mikrokontroler ESP32, sensor suhu DS18B20, sensor pH, sensor turbidity, motor servo, pompa air 12V dan 5V, heater, serta platform Arduino IoT Cloud untuk pemantauan dan kontrol real time. Pengambilan keputusan dari durasi aktuator ditentukan menggunakan fuzzy logic mamdani dengan tiga input yaitu suhu, pH dan kekeruhan serta tiga output seperti pompa 12V, pompa 5V, dan heater. Hasil pengujian menunjukkan semua fitur berfungsi dengan baik. Sistem monitoring menampilkan nilai dan grafik sensor real time, pakan otomatis dapat dikontrol manual atau terjadwal, dan notifikasi terkirim ke email ketika parameter melebihi batas. Validasi hasil dari output sistem dibandingkan dengan simulasi MATLAB yang menunjukkan rata-rata error hanya 0,42%. Hal ini membuktikan prototype akuarium multi fitur berfungsi sesuai dengan tujuan dan tingkat akurasi yang tinggi dalam pengambilan keputusan berbasis fuzzy logic. ----- Problems in goldfish maintenance, such as irregular feeding, unmonitored water quality, and neglected water changes, can cause stress and even death. This study aims to develop a multi-feature aquarium system based on the Internet of Things (IoT) using the fuzzy logic method for goldfish care. The system includes water quality monitoring with parameters such as temperature, pH, and turbidity, scheduled automatic feeding, as well as water draining and refilling combined with the addition of starter bacteria solution. The research method applied is Research and Development (R&D) using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The system was designed using an ESP32 microcontroller, DS18B20 temperature sensor, pH sensor, turbidity sensor, servo motor, 12V and 5V water pumps, heater, and the Arduino IoT Cloud platform for real-time monitoring and control. The decision-making for actuator duration is determined using the Mamdani fuzzy logic method with three inputs—temperature, pH, and turbidity—and three outputs: the 12V pump, 5V pump, and heater. Test results show that all features function properly. The monitoring system displays real-time sensor values and graphs, the automatic feeder can be controlled manually or scheduled, and notifications are sent via email when parameters exceed limits. Validation of system outputs compared to MATLAB simulations shows an average error of only 0.42%, proving that the multi-feature aquarium prototype works as intended and achieves high accuracy in fuzzy logic-based decision-making.
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| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?user=srB0O6QAAAAJ&hl=id ID SINTA Dosen Pembimbing: Diky Zakaria: 6779007 Liptia Venica: 6779029 |
| Uncontrolled Keywords: | Akuarium, Internet of Things, Fuzzy Logic, Ikan Mas Koki, Sistem Otomatis. Aquarium, Internet of Things, Fuzzy Logic, Goldfish, Automatic System. |
| Subjects: | S Agriculture > SH Aquaculture. Fisheries. Angling T Technology > T Technology (General) |
| Divisions: | UPI Kampus Purwakarta > S1 Mekatronika dan Kecerdasan Buatan |
| Depositing User: | Mochamad Kelvin Fadhilah |
| Date Deposited: | 09 Sep 2025 06:24 |
| Last Modified: | 09 Sep 2025 06:24 |
| URI: | http://repository.upi.edu/id/eprint/138213 |
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