Automatic Drain System in Seawater Aquarium with Fuzzy Logic Method

Nur Adin, Hilal Hudan Nuha

Abstract


In seawater aquariums, seawater quality plays a very important role for the survival of the biota in it. There are measurement parameters that determine the quality of the seawater fit to be inhabited by seawater ornamental fish such as clown fish. Measurement parameters are such as temperature, salinity, dissolved oxygen content (DO), pH, ammonia, nitrite, and nitrate. Current technological developments make it possible to create a system that automatically conducts seawater drainage in a seawater aquarium so that the quality of the seawater remains in accordance with its measurement parameters and is fit for habitation by seawater ornamental fish such as clown fish. In this study the measurement parameters that become the reference are the temperature, pH (acidity) values obtained from the temperature sensor and the pH sensor. For normal temperatures, if the temperature is in the range of 24°C to 28°C, while for the ideal temperature is in the range of 25-27°C. For an appropriate pH in a saltwater aquarium is 7.5-8.5 with an ideal pH of 8.2. From the results of measurements made by these sensors, the value will be processed using the fuzzy logic method, then the condition of sea water quality in the aquarium can be seen from the smartphone, and when the measurement results show an inappropriate value, the system will automatically drain the water

Keywords


Aquarium, Fuzzy Logic Method, Automatic Drain System, Internet Of Thing, Seawater

Full Text:

PDF

References


A. Rofiq, SISTEM OTOMASI PEMANTAU KEJERNIHAN DAN FILTRASI AIR AQUARIUM MENGGUNAKAN LDR (LIGHT DEPENDENT RESISTOR) BEBASIS ARDUINO UNO, Bandung: Universitas Islam Negeri Sunan Gunung Djati, 2016 .

Y. Bachtiar, Budidaya Ikan Hias Air Tawar untuk Ekspor, Jakarta: PT.Agro Media Pustaka, 2004.

Y. Wang , S. Shariar Morshed Rajib, C. Collins dan B. Grieve, “Journals & Magazines,†Low-Cost Turbidity Sensor for Low-Power Wireless Monitoring of Fresh-Water Courses, vol. 18, no. 11, pp. 4689 - 4696, 1 June 2018.

K. Raghu Sita Rama Raju dan G. Harish Kumar Varma, “Knowledge Based Real Time Monitoring System for Aquaculture Using IoT,†dalam 2017 IEEE 7th International Advance Computing Conference (IACC), Hyderabad, India, 2017.

R. M. Bima Gentayu, Implementasi Dan Analisis Sistem Akuarium Pintar Berbasis Jaringan Sensor Nirkabel, Bandung: Universitas Telkom, 2017.

A. A. P. B. B. Devi, DESAIN DAN IMPLEMENTASI SISTEM PENDETEKSI KEBAKARAN MENGGUNAKAN RASPBERRY PI 3 BERBASIS ALGORITMA FUZZY LOGIC, Bandung: Universitas Telkom, 2019.

H. Nuha, A. Balghonaim, B. Liu, M. Mohandes, M. Deriche dan F. Fekri, “Deep neural networks with extreme learning machine for seismic data compression,†Arabian Journal for Science and Engineering , vol. 45, no. 3, pp. 1367-1377 , 2020.

E. B. Kuncoro, Aquascape Pesona Taman Akuarium Air Tawar, Yogyakarta: Kanisius, 2008, p. 15.

H. Nuha, A. Balghonaim, B. Liu, M. Mohandes dan F. Fekri, “Seismic data compression using deep neural network predictors,†dalam SEG International Exposition and Annual Meeting , San Diego, 2019.

M. A. Moe, Marine Aquarium Handbook: Beginner to Breeder, Plantation Florida: Green Turtle Publications, 2009.

A. Nursaiful, Akuarium Laut, Jakarta: Penebar Swadaya, 2004.

H. Nuha, N. Andriansyah dan A. Mulyana, “Simulasi Penentuan Lokasi Perangkat Bergerak dengan Metode Enhanced Observed Time Difference,†Jurnal Eksplora Informatika, vol. 9, no. 2, pp. 111-123, 2020.

A. Junaidi, “Jurnal Ilmiah Teknologi Informasi Terapan,†INTERNET OF THINGS, SEJARAH, TEKNOLOGI DAN PENERAPANNYA, vol. I, p. 3, 2015.

T. KRISNAWAN, DESAIN & IMPLEMENTASI REMOTE OUTLET SWITCH MENGGUNAKAN MODULASI RADIO FREQUENCY SHIFT KEYING (FSK) BERBASIS ARDUINO, Bandung : Universitas Telkom, 2019.

K. W. A. SARAGIH, SISTEM PEMANTAUAN DAN KLASIFIKASI KONDISI PENCEMARAN AIR SUNGAI DENGAN METODE FUZZY LOGIC, Bandung: Universitas Telkom, 2019.

H. Nuha, M. Deriche dan M. Mohandes, “Bilateral Filters with Elliptical Gaussian Kernels for Seismic Surveys Denoising,†dalam 2019 5th International Conference on Frontiers of Signal Processing (ICFSP), France, 2019.

G. R. Ramadhan, Implementasi Kontrol Sudut Pada Antena Grid Dengan Metode Fuzzy Logic, Bandung: Universitas Telkom, 2019.




DOI: https://doi.org/10.30865/mib.v4i3.2209

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 JURNAL MEDIA INFORMATIKA BUDIDARMA

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



JURNAL MEDIA INFORMATIKA BUDIDARMA
Universitas Budi Darma
Secretariat: Sisingamangaraja No. 338 Telp 061-7875998
Email: mib.stmikbd@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.