Arif Noor Adiyanto
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FisherBot: Sistem Iot-Ozonizer dengan Chatbot AI untuk Budidaya Ikan Ramah Pemula Azifa Rusyda Dewi; Muhammad Zaky Rahmawan; Arif Noor Adiyanto; Ahmad Edi Darmawan; Eka Arif Nugraha
Jurnal Paradigma Grobogan Vol. 2 No. 2 (2025): December : Jurnal Paradigma Grobogan
Publisher : Badan Perencanaan Pembangunan Riset dan Inovasi Daerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58684/paradigma.v2i2.97

Abstract

In their growth and development, fish can be affected by various types of diseases, one of which is caused by bacteria. FisherBot is an innovative solution in the form of an integrated Internet of Things (IoT)-based system that combines ozonation technology to prevent fish disease outbreaks, and is equipped with a beginner-friendly artificial intelligence (AI)-based chatbot feature. The method used in this research is the ADDIE development model, which includes Analysis, Design, Development, Implementation, and Evaluation. FisherBot consists of several sensors, namely DHT-11, pH, TDS-40, and turbidity, to monitor pond water quality in real-time, and an ozonizer that injects 0.5 ppm/hour, functioning as a sterilizer for pond water. The results obtained show that the FisherBot system is able to accurately monitor water quality parameters and significantly reduce total bacteria. The test results show that all sensors are able to work with good accuracy, with an average temperature measurement of 28,9℃, pH of 6.94, TDS-40 of 869 ppm, and turbidity of 27,4 NTU. Using the Total Plate Count (TPC) method, total bacterial testing showed that the bacterial population in the pond decreased to an average of 3,200 CFU/ml compared to the control without ozone, which was 5,777.78 CFU/ml. FisherBot is expected to increase productivity, reduce fish mortality, and sustainably enhance the contribution of the aquaculture sector to national income.