Perancangan Sistem Informasi Analisis Medik Menggunakan Logika Fuzzy Sugeno Berbasis Data Rekam Medik Pada Penyakit Hipertensi

Abstract

Number of patients with hypertension have increased from year to year. This is due to an unhealthy lifestyle, excessive stress and so forth. Patiens with hypertension are often unaware of the dangers that can be caused by disease. The medical diagnosis of hypertension is made when obtained blood pressure is obtained more than 140/90 mmHg. In this study, created a system of enforcement of hypertension using sugeno fuzzy logic. This application uses the parameters of age, body mass index, blod pressure(systole and diastole), family history (genetics), diabetes mellitus. From testing the fuzzy logic that has been done, can be obtained on the calculation of 60 patients who did not suffer from hypertension (normal) as much 3 people, who suffer from prehypertension as much 17 people, who suffer from hypertension grade 1 as much 25 people and who suffer from hypertension degrees 2 as much 15 people. With an average accuracy test rate 99.999989% for patients who did not suffer from hypertension, 99.999985% for patients who suffer from prehypertension, 100% who suffer from hypertension grade 1 and 99.999946% who suffer from hypertension degrees 2. With an average the level of error 0.00333% for patients who did not suffer from hypertension, 0.00471% for patients who suffer from prehypertension, 0% who suffer from hypertension grade 1 and 0.00733% who suffer from hypertension degrees 2. From the application made can provide clear, accurate information about hypertension disease.

Sistem Pakar Diagnosa Penyakit Kulit Akibat Infeksi Jamur Menggunakan Teorema Bayes

“…Sistem pakar merupakan salah satu solusi untuk orang awam dapat melakukan diagnosa dini terhadap penyakit, khususnya penyakit kulit, karena sistem pakar didesain untuk mengadopsi pengetahuan tertentu dari seorang ahli/pakar dan disematkan ke komputer [2]. Beberapa metode yang dapat diterapkan DOI: 10.35508/jicon.v9i1.3170 ISSN:2337-7631 (printed) ISSN: 2654-4091 (Online) pada sistem pakar yaitu simple additive weighting [3], teorema Bayes [4]- [6], fuzzy Mamdani [7], [8], fuzzy Sugeno [9], fuzzy Tsukamoto [10], [11] dan Dempster-Shafer [12]- [14].…”

“…Teorema Bayes adalah sebuah teori kondisi peluang yang memperhitungkan peluang sebuah kejadian (hipotesis) yang bergantung pada kejadian lain (bukti). Metode teorema Bayes merupakan teknik yang digunakan untuk melakukan analisis dalam pengambilan keputusan terbaik dari sejumlah alternatif [9]. Teori keputusan Bayes merupakan pendekatan statistik yang fundamental dalam pengenalan pola Pendekatan ini didasarkan kuantifikasi trade-off antara berbagai keputusan klasifikasi dengan menggunakan peluang dan ongkos yang ditimbulkan dalam keputusan-keputusan tersebut.…”