Activity Management System with Automatic Priority Adjustment Using Simple Multi-Attribute Rating Technique
Activity management is needed to increase a person's productivity in arranging a more efficient activity schedule. To help organize activities, especially for workers or students who have many activities, the use of a planner is very necessary. However, the determination of inappropriate priorities in scheduling activities and diffic ulties in rescheduling are obstacles in using the planner. Therefore, this study aims to create an activity management system that is able to calculate the priority of each user activity and provide automatic rescheduling recommendations. The system implements the Simple Multi-Attribute Rating Technique (SMART) method for the priority configuration process. If the system's priority order does not match the user's priority order, then the weight changes for each criterion are carried out by a learning process. The resulting replacement priority is used as a limitation in generating new schedule recommendations. Based on the experiments, it can be concluded that the system has succeeded in helping to determine activity priorities automatically using the SMART method. From the validation results, the average value of the suitability of the ranking between the SMART calculation results and the user was 63.84%, indicating that the automatic ranking system has met the average expectations of respondents, although it is not yet optimal. The reschedule feature in the system based on a survey conducted resulted in a usability value of 68.75%, which means that on average this feature can help facilitate rescheduling.
Authors
- Monica Widiasri (ORCID: https://orcid.org/0000-0002-3813-064X)
- Jordan Valentino Lomanto
- Susana Limanto (ORCID: https://orcid.org/0000-0002-5030-4921)
- Maya Hilda Lestari Louk (ORCID: https://orcid.org/0000-0001-8274-0990)
- Liliana Liliana (ORCID: https://orcid.org/0000-0002-4229-1673)
Institutions
- University of Surabaya (ID)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/icicyta64807.2024.10913009
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00