Pengembangan Aplikasi Berbasis Kecerdasan Buatan untuk Diagnostik Penyakit dan Optimalisasi Ekosistem Akuarium

Zolla Perdana Putra Harahap (IPB University)
Maulana Irfan (IPB University)
Farhan Hakim (IPB University)
Adrian Fardan Andi (IPB University)
Aditya Wicaksono (IPB University)
Gema Parasti Mindara (IPB University)
Inna Novianty (IPB University)
Lathifunnisa Fathonah (IPB University)
Endang Purnama Giri (IPB University)

Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Vol. 7 No. 01 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)

Indonesia boasts a high diversity of ornamental fish species, both freshwater and marine, making it a significant commodity in the global market. However, the high mortality rate of ornamental fish due to a lack of knowledge about disease diagnosis and aquarium ecosystem management remains a major challenge. To address this issue, FishCo was developed as an AI-based application designed to assist ornamental fish owners, particularly beginners, in diagnosing diseases and managing aquarium ecosystems. FishCo offers features such as disease diagnosis using Convolutional Neural Network (CNN) technology, ecosystem setup recommendations tailored to specific fish species, and consultations via FishBot. The application is built as a cross-platform solution, with a backend powered by Laravel and a mobile application developed in Android Studio using the Java programming language. Testing has shown that FishCo can accurately identify diseases, provide appropriate recommendations, and receive positive feedback from users. This application is expected to enhance the success rate of ornamental fish care, reduce mortality rates, and contribute to the preservation of Indonesia’s aquatic biodiversity.