PENERAPAN SISTEM PAKAR (EXPERT SYSTEM) UNTUK MENGIDENTIFIKASI GEJALA PENDERITA COVID-19 DENGAN ALGORITMA DEMPSTER SHAFER (DS)

Whardani, Sri Kusnia (2022) PENERAPAN SISTEM PAKAR (EXPERT SYSTEM) UNTUK MENGIDENTIFIKASI GEJALA PENDERITA COVID-19 DENGAN ALGORITMA DEMPSTER SHAFER (DS). Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Abstract

The Covid-19 pandemic has had a very significant impact on the world of health, medical personnel and society. Several researchers have created an Expert System to assist health workers in identifying the symptoms of the Covid-19 disease, but have not found optimal results. This study aims to design an Expert System for the identification of symptoms of Covid-19 disease with the Dempster Shafer (DS) algorithm approach. This research is only limited to four types of covid variants, namely alpha, beta, delta and gamma. This research was conducted by conducting observations and deep interviews with doctors at RSUD Dokter Harjono, Ponorogo Regency and then designing applications using PHP and MySQL programming languages. This research produces a web-based Expert System Application that applies the DS algorithm. This research contributes to the world of health and medical personnel by making it easier to identify symptoms of people with COVID-19 disease.

Item Type:	Thesis (Skripsi (S1))
Uncontrolled Keywords:	Sistem Pakar, Pandemi Covid-19, Algoritma Dempster Shafer
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering
Depositing User:	ft . userft
Date Deposited:	18 Aug 2022 04:36
Last Modified:	18 Aug 2022 04:36
URI:	http://eprints.umpo.ac.id/id/eprint/9613

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