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Otomatisasi Pengontrolan Kualitas Air Pada Akuarium Ikan Arwana Berbasis IOT Menggunakan Logika Fuzzy Tsukamoto Ade Muhamad Nurhadi; Dwi Marisa Midyanti; Suhardi Suhardi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6947

Abstract

Arowana fish is an ornamental fish that has a beautiful body shape and color that makes it have a high price, and requires excellent care. The quality of the water in the aquarium must be maintained so that the Arowana fish are not stressed, sick, or die. However, many Arowana owners do not monitor water conditions closely. Therefore, a system is needed that can monitor the state of the aquarium environment, including automatic and manual water changes from the website. In this study using Arduino uno as a microcontroller connected to a pH and turbidity sensor, then NodeMCU ESP32 was used to send data to the internet and to perform the calculation process of Tsukamoto's fuzzy logic. The test results obtained an average accuracy on pH sensors of 96.62%, on turbidity sensors an average accuracy of 92.84%, on ultrasonic sensors an average accuracy of 99.62%. The system also tested Tsukamoto's fuzzy logic where the results were fuzzy with an accuracy of 83%. Testing of the system as a whole was carried out for 4 days. From the tests carried out, the average water pH per day results are 7.1 and turbidity of 18 NTU and all water quality conditions can be met according to the desired output using 9 rule bases.
Rancang Bangun Sistem Kendali Kondisi Air Nutrisi Hidroponik Menggunakan Metode Forward Chaining Cani Cani; Irma Nirmala; Suhardi Suhardi
JET (Journal of Electrical Technology) Vol 11, No 1 (2026): EDISI FEBRUARI
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i1.13244

Abstract

Pertanian hidroponik membutuhkan pemantauan dan pengendalian kondisi air nutrisi secara konsisten agar tanaman dapat tumbuh dengan optimal. Penelitian ini merancang dan mengimplementasikan sistem kendali otomatis kondisi air nutrisi pada instalasi hidroponik menggunakan metode forward chaining berbasis sistem pakar. Sistem memantau tiga parameter kondisi air secara serentak: kadar nutrisi (Total Dissolved Solids/TDS dalam satuan ppm), tingkat keasaman (pH), dan suhu air. Pengendalian dilakukan melalui tujuh aktuator yang diaktifkan berdasarkan 27 aturan forward chaining yang disusun melalui konsultasi dengan dua pakar hidroponik dan satu pakar pertanian. Arsitektur sistem menggunakan dua mikrokontroler dengan tugas terpisah: Arduino Uno menangani pembacaan sensor secara analog, sementara NodeMCU ESP32 menjalankan mesin inferensi forward chaining dan mengendalikan aktuator. Kontribusi utama penelitian ini adalah integrasi regulasi suhu aktif menggunakan modul peltier dan pemanas yang dikendalikan sepenuhnya oleh basis pengetahuan forward chaining—aspek yang belum ditangani pada sistem kendali hidroponik berbasis forward chaining sebelumnya. Pengujian akurasi sensor menghasilkan rata-rata 99,47% untuk sensor TDS, 96,85% untuk sensor pH, dan 97,35% untuk sensor suhu DS18B20. Validasi metode forward chaining terhadap seluruh 27 rule menghasilkan akurasi 100%.