RANCANG BANGUN SISTEM PAKAR UNTUK DIAGNOSA CEDERA OLAHRAGA MENGGUNAKAN METODE CASE BASED REASONING

ANDIKA, RAMADHAN (2026) RANCANG BANGUN SISTEM PAKAR UNTUK DIAGNOSA CEDERA OLAHRAGA MENGGUNAKAN METODE CASE BASED REASONING. Diploma thesis, UIN Raden Intan Lampung.

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Abstract

ABSTRAK RANCANG BANGUN SISTEM PAKAR UNTUK DIAGNOSA CEDERA OLAHRAGA MENGGUNAKAN METODE CASE BASED REASONING Oleh Andika Ramadhan Penelitian ini bertujuan merancang dan membangun sistem pakar untuk diagnosa cedera olahraga menggunakan metode Case Based Reasoning (CBR) berbasis website. Penelitian dilatarbelakangi oleh tingginya kasus cedera olahraga serta keterbatasan akses masyarakat terhadap tenaga kesehatan olahraga untuk melakukan diagnosis awal secara cepat dan tepat. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan pendekatan prototyping. Sistem dikembangkan melalui tahapan pengumpulan kebutuhan, perancangan, pembuatan prototipe, evaluasi, dan penyempurnaan sistem. Metode Case Based Reasoning CBR diterapkan melalui tahapan retrieve, reuse, revise, dan retain untuk menentukan diagnosis berdasarkan kemiripan kasus sebelumnya. Perhitungan tingkat kemiripan dilakukan menggunakan algoritma K-Nearest Neighbor (KNN). Hasil penelitian menunjukkan bahwa sistem mampu memberikan diagnosis awal cedera olahraga beserta rekomendasi penanganan awal berdasarkan tingkat kemiripan kasus. Sistem juga dinilai membantu pengguna dalam memperoleh informasi cedera olahraga secara lebih cepat, mudah, dan sistematis. Kata Kunci: Sistem Pakar, Cedera Olahraga, Case Based Reasoning, KNN, Website. ABSTRACT DESIGN OF AN EXPERT SYSTEM FOR SPORTS INJURY DIAGNOSIS USING THE CASE-BASED REASONING METHOD By Andika Ramadhan This research aims to design and develop an expert system for sports injury diagnosis using the Case Based Reasoning (CBR) method based on a website platform. The study is motivated by the high number of sports injuries and the limited public access to sports health professionals for obtaining fast and accurate early diagnosis. The research method used is Research and Development (R&D) with a prototyping approach. The system was developed through the stages of requirement gathering, design, prototype construction, evaluation, and system refinement. The CBR method was implemented through the stages of retrieve, reuse, revise, and retain to determine diagnoses based on similarities with previous cases. The similarity calculation process used the K-Nearest Neighbor (KNN) algorithm. The results showed that the developed expert system is capable of providing early diagnosis of sports injuries along with initial treatment recommendations based on case similarity levels. The system also helps users obtain sports injury information more quickly, easily, and systematically. Keywords: Expert System, Sports Injury, Case Based Reasoning, KNN, Website.

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