Introduction: This paper discuss about fuzzy inference system for the diagnosis of asthma’s levels. The process of diagnosis was made from symptoms that occur in patients with asthma. Input process, results, and methodology in making this system was done carefully, so this system is expected valid and fi t for medical diagnosis.Methods: Methodology in the system including the knowledge base, fuzzyfi er, and inference engine. The symptoms used in diagnostic systems, including shortness of breath, wheezing, level of alertness/unique symptoms, respiratory rate, speech rate, pulse per minutes, and PEF after bronchodilator. And the output of asthma’s level diagnosis was mild, moderate, severe, and RAI/respiratory failure. The performance of system has been tested in Cilacap Pertamina Hospital, 20 patients with asthma were involved. Results: The results of system and doctor’s opinion who has been treating patients with asthma were compared. Result: The result showed that the system obtained 90%, according to the doctor’s diagnosis.Conclusion: This system is expected to help the medical expert or doctor in diagnosing the level of asthma.
ABSTRAKPendahuluan: Tulisan ini membahas tentang fuzzy inference system untuk proses diagnosa level asma. Proses diagnosa dilakukan dari gejala-gejala yang timbul pada penderita asma. Proses input, hasil, serta metodologi dalam pembuatan sistem dikerjakan dengan fokus dan teliti, sehingga sistem ini diharapkan valid dan layak digunakan untuk diagnosa medis. Metode: Metodologi dalam sistem meliputi knowledge base, fuzzyfi er, inference engine. Dengan gejala yang digunakan pada diagnosa sistem antara lain sesak napas, mengi, tingkat kewaspadaan/gejala unik, tingkat pernapasan, tingkat bicara, denyut nadi/menit, serta PEF setelah bronkodilator. Dan hasil keluaran dari diagnosa yaitu level asma yang diderita pasien dari ringan, sedang, berat hingga RAI/gagal napas. Kinerja sistem telah diuji di Rumah Sakit Pertamina Cilacap dengan 20 pasien penderita asma. Perbandingan antara hasil sistem dan ahli medis atau dokter yang telah menangani pasien asma. Hasil: Dari hasil uji sistem didapatkan 90% sesuai dengan diagnosa dokter. Diskusi: Sistem ini diharapkan dapat membantu ahli medis atau dokter dalam membantu diagnosa level asma pada pasien.Kata kunci: fuzzy inference system, diagnosa, level asma ABSTRACT Introduction: This paper discuss about fuzzy inference system for the diagnosis of asthma's levels. The process of diagnosis was made from symptoms that occur in patients with asthma. Input process, results, and methodology in making this system was done carefully, so this system is expected valid and fi t for medical diagnosis. Method: Methodology in the system including the knowledge base, fuzzyfi er, and inference engine. The symptoms used in diagnostic systems
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