Jurnal Teknik Informatika (JUTIF)
Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022

DIAGNOSIS OF HUMAN SKIN FUNGI USING FORDWARD CHANING METHOD BASED ON

hafzihan ihwana Zihan (SekolahTinggi Manajemen Informatika Komputer Royal Kisaran)
Jhonson Efendi Hutagalung jhons (Sekolah Tinggi Manajemen Informatika Komputer Royal Kisaran)
Mardalius Dalius (Sekolah Tinggi Manajemen Informatika Komputer Royal Kisaran)



Article Info

Publish Date
29 Jun 2022

Abstract

Expert systems are the process of adopting human knowledge to computers, so that computers can provide solutions like doctors can. The high cost and takes a long time to consult with a skin specialist at the hospital and skin diseases are classified as complaints that can be treated alone. So we need an expert system that makes it easier for experts to diagnose this fungal disease. This research uses qualitative research methods and is included in descriptive research. The method used in this study is the forward chaining method and the search method used is forward data tracing to find conclusions. Data collection techniques through interviews and literature study. This research uses PHP programming language with MySQL database. Based on the results of the comparison between literature studies and interviews, it was found that 4 skin diseases were infected due to fungi so that early symptoms of the disease were diagnosed along with their causes and solutions.

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Journal Info

Abbrev

jurnal

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, ...