Lokasi: Android Based Expert System Application for Diagnose COVID-19 Disease: Cases Study of Banyumas Regency

Main Authors:	Hakim, Rosyid Ridlo Al, Rusdi, Erfan, Setiawan, Muhammad Akbar
Other Authors:	Banyumas Regency Government, Department of Computer Science STMIK Widya Utama, Faculty of Biology Universitas Jenderal Soedirman
Format:	Article info Survey/Interview application/pdf Journal
Bahasa:	eng
Terbitan:	Universitas Muhammadiyah Semarang , 2020
Subjects:	Informatics Engineering Computer Science Artificial Intelligence Expert System Forward Chaining Certainty Factor Covid19 Coronavirus Intelligent Computing Health Informatics Android
Online Access:	https://jurnal.unimus.ac.id/index.php/ICHI/article/view/5958 https://jurnal.unimus.ac.id/index.php/ICHI/article/view/5958/pdf https://jurnal.unimus.ac.id/index.php/ICHI/article/downloadSuppFile/5958/594 https://jurnal.unimus.ac.id/index.php/ICHI/article/downloadSuppFile/5958/617

Koleksi	Journal of Intelligent Computing and Health Informatics (JICHI)
Gedung	Perpustakaan Universitas Muhammadiyah Semarang
Institusi	Universitas Muhammadiyah Semarang
Kota	SEMARANG
Provinsi	JAWA TENGAH
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