Perbandingan Akurasi Prediksi Kerusakan CPU Antara Teknik Certainty Factor dan Forward Chaining
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CPU memainkan peran penting dalam menentukan kinerja sistem komputer dalam komputasi kontemporer. Jika CPU mengalami kerusakan, hal ini dapat mengakibatkan gangguan signifikan pada fungsi komputer. Penelitian ini menyajikan teknik komputasi yang bertujuan untuk meningkatkan akurasi prediksi kerusakan CPU. Sistem ini memanfaatkan pengetahuan dasar diagnosis kerusakan dan divalidasi melalui evaluasi 11 gejala awal kerusakan yang sering terlihat. Pendekatan Certainty Factor dan Forward Chaining memastikan kerusakan CPU dengan mengukur tingkat kebenaran kesimpulan pendapat ahli melalui perbandingan gejala kerusakan. Algoritma kedua menilai tingkat kepercayaan dalam suatu pengembangan dengan mempertimbangkan bobot yang diberikan pada sistem oleh dua pihak: pengguna dan ahli. Algoritma yang disarankan menghasilkan akurasi rata-rata pendekatan faktor kepastian dalam mendiagnosis kerusakan komputer menggunakan sistem yang dibangun. Sistem diagnostik memiliki tingkat presisi sebesar 84,9%, yang menunjukkan bahwa 9 dari 10 diagnosis yang dibuat oleh sistem selaras dengan diagnosis yang dibuat oleh pakar. Selanjutnya hasil pengujian algoritma forward chaining. Semua pertanyaan tentang gejala dijawab dengan positif, kecuali satu tes yang memberikan respon negatif. Didapatkan total 39 diagnosa dengan nilai rata-rata 82,9%. Temuan penelitian menunjukkan bahwa metode faktor kepercayaan yang disarankan lebih cocok untuk digunakan dalam sistem tertanam atau aplikasi berbasis web, namun terkendala oleh rendahnya pemrosesan.
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