z-logo
open-access-imgOpen Access
DECISION SUPPORT AND MONITORING SYSTEMS FOR HUMANITARIAN PROGRAMS USING FORWARD CHAINING METHOD
Author(s) -
Yuli Purwati,
Aldi Setia Pambudi
Publication year - 2022
Publication title -
jitk (jurnal ilmu pengetahuan dan teknologi komputer)
Language(s) - English
Resource type - Journals
eISSN - 2685-8223
pISSN - 2527-4864
DOI - 10.33480/jitk.v7i2.2813
Subject(s) - data collection , government (linguistics) , forward chaining , chaining , computer science , covid-19 , operations research , computer security , data science , management science , psychology , sociology , expert system , engineering , artificial intelligence , medicine , social science , linguistics , philosophy , disease , pathology , infectious disease (medical specialty) , psychotherapist
One of the covid-19 pandemic impacts is the emergence of new social problems. Humanitarian agencies are helping the government's role to overcome various social issues that arise through its humanitarian programs. One of which is with the MSR program from Aksi Cepat Tanggap Purwokerto. With increasing social problems and the complexity of improving data collection due to the covid-19 pandemic, the methods' limitations previously using paper will be difficult, and the limits of people who have the expertise to make decisions related to the submission of prospective beneficiaries. A decision support system is needed to provide suggestions of results under the rules that have will determining and monitoring and filing systems to provide convenience in managing data collection.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here