Lecturer Workload Optimization Applying Interactive Visualization

Simple item page
dc.contributor.authorMufida, Mir’atul Khusna
dc.contributor.authorSantiputri, Metta
dc.contributor.authorJanah, Nur Zahrati
dc.contributor.authorKurniawan, Dwi Ely
dc.contributor.authorIdris, Muhammad
dc.date.accessioned2023-06-28T04:21:41Z
dc.date.available2023-06-28T04:21:41Z
dc.date.issued2018-05-09
dc.description.abstrakLecturers have three basic activities to be accomplished each semester, i.e. teaching, performing research, and participating in community services. However, the planning of these three activities is not straightforward. Lecturers are required to arrange their schedule based on compulsory tasks that needed to be accomplished first. On the other hand, productivity is one of the important factors to measure lecturer’s performance. Capturing lecturer productivity for the evaluation purposes is a complex problem. This research aims to design and develop a tool to visualize and conceive lecturer workload. Instead of analyzing text-based big data distribution, this research adopted interactive visualization approach that offers interaction to support lecturer workload exploratory data analysis. This approach consists of overview, zoom and filter, detail on demand, relate, history, and extract. The contribution of this research is to provide a definition for determining fair and reasonable workload for lecturers to optimize their productivity and evaluate their work rate distribution.en_US
dc.identifier.urihttps://repository.polibatam.ac.id/xmlui/handle/123456789/1713
dc.language.isoenen_US
dc.publisherUniversitas Komputer Indonesiaen_US
dc.relation.ispartofseriesProceeding of International Conference on Informatics, Engineering, Sciences and Technology (Incitest 2018);
dc.relation.ispartofseriesIOP Conf. Series: Materials Science and Engineering volume 407
dc.subjectLectureren_US
dc.subjectWorkloaden_US
dc.subjectOptimizationen_US
dc.subjectInteractive visualizationen_US
dc.titleLecturer Workload Optimization Applying Interactive Visualizationen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
_2018_IOP_Conf._Ser.__Mater._Sci._Eng._407_011001.pdf
Size:
5.22 MB
Format:
Adobe Portable Document Format
Description:
Conference paper
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Karya Dosen