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All Journal Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Muhamad Iqbal Nurdin Siregar
Universitas Pamulang

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Model Hybrid Rule-Based dan KNN untuk Kecocokan Ikan Hias Terhadap Kualitas Air Muhamad Iqbal Nurdin Siregar; Aniq Astofa
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.2034

Abstract

The ornamental fish farming industry requires consistent water quality management, yet PT Ikan Bangun Indonesia still relies on manual expert judgment to determine fish-water compatibility, making the process subjective and prone to delayed detection of critical conditions. This research develops a web-based decision support system that combines a Rule-Based System using Forward Chaining as a lethal-condition filter (Layer I) with a K-Nearest Neighbor algorithm based on Euclidean distance as a suitability ranking layer (Layer II), covering ten ornamental fish species and seven water quality parameters. The system was built using a three-tier architecture with React.js, Laravel, PostgreSQL, and a Python FastAPI microservice, and was evaluated through Black Box Testing, White Box Testing using basis path testing, and a Confusion Matrix approach. The results show that all functional scenarios passed testing, all internal logical paths executed correctly, and the hybrid model classified water feasibility with 100% accuracy, precision, and recall. This study concludes that the hybrid Rule-Based and KNN approach is effective and reliable for automated decision-making in ornamental fish aquaculture
Co-Authors Astofa, Aniq