Implementasi artificial neural network dalam mendeteksi penyakit hati (liver)

Irmawati Irmawati; Kudiantoro Widianto; Faruq Aziz; Achmad Rifai; Ami Rahmawati

doi:10.52362/jisamar.v6i1.694

Irmawati Irmawati Universitas Bina Sarana Informatika
Kudiantoro Widianto Universitas Bina Sarana Informatika
Faruq Aziz Universitas Nusa Mandiri
Achmad Rifai Universitas Nusa Mandiri
Ami Rahmawati Universitas Nusa Mandiri

DOI: https://doi.org/10.52362/jisamar.v6i1.694

Abstract

Acute liver disease can affect liver function, but can identify the patient's clinical and physical symptoms. One of the problems faced by society today is the delay in treatment of liver disease patients, most patients do not carry out self-examination until an advanced stage is found. To overcome this problem, we need a system that can determine whether a person is a patient with liver disease, so that they can carry out routine checks as soon as possible and allow liver disease patients to get timely treatment. The system can generate classification with the help of data mining algorithms. In this paper, Liver Patients have been investigated using an Artificial Neural Network model to predict a Liver Patient or not and analysis using ANN with Python was used to determine the effect of input variables based on data in the literature and obtained an accuracy of 74%.

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Author Biographies

Irmawati Irmawati, Universitas Bina Sarana Informatika

Program Studi Ilmu Komputer, Fakultas Teknik dan INformatika

Kudiantoro Widianto, Universitas Bina Sarana Informatika

Program Studi Ilmu Komputer, Fakultas Teknik dan Informatika

Faruq Aziz, Universitas Nusa Mandiri

Fakultas Teknologi Informasi

Achmad Rifai, Universitas Nusa Mandiri

Fakultas Teknologi Informasi

Ami Rahmawati, Universitas Nusa Mandiri

Fakultas Teknologi Informasi

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