Expert System Design for Web-Based Lecturer Scheduling
2019; IOP Publishing; Volume: 1175; Linguagem: Inglês
10.1088/1742-6596/1175/1/012119
ISSN1742-6596
AutoresMuhammad Iwan Shofyan, Nurul Aziza, Moh Cholisatur Rizaq, Muhamad Farir Farkhan, Agung Budi Santoso, As’ad Cholili, Khairil Anam, Bayu Charisma, Ahsan Muafa, Anton Yuntarso,
Tópico(s)Blockchain Technology in Education and Learning
ResumoIn this study contains an expert system design for web-based lecturer scheduling that can facilitate the Chair of the Study Program in scheduling courses for lecturers. This system was built using Notepad ++ software, XAMPP with HTML, CSS, JavaScript, PHP and database programming languages using MYSQL. Subjects in this study are expert system applications as the media schedule lecturer subjects. Data collection in this study uses the interview method and questionnaire method. This system is built with the Waterfall model namely analysis, design, coding and testing. This application in the inference engine used is the forward chaining method. The results of this study are expert system applications to schedule lecturers' subjects according to the questionnaire data. Based on the results of the trial it can be concluded that this expert system application can facilitate the Chair of the Study Program in accurately scheduling courses, classes, days, hours, space, and lecturers
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