Open AccessOptimization of Innovation Features in Mobile-Based Attendance Application
Author(s) -
Tiya Katrilia,
Paulus Wisnu Anggoro,
P.K. Dewa Sp.
Publication year - 2022
Publication title -
management systems in production engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 6
eISSN - 2450-5781
pISSN - 2299-0461
DOI - 10.2478/mspe-2022-0003
Subject(s) - attendance , feature (linguistics) , sophistication , computer science , performance indicator , ranking (information retrieval) , economic shortage , benchmarking , engineering , industrial engineering , risk analysis (engineering) , artificial intelligence , marketing , business , social science , linguistics , philosophy , sociology , government (linguistics) , economics , economic growth
Improved Human Resources Performance can be realized in the employee’s absence. The sophistication of technology to accommodate the absence is the use of a Mobile-Based Attendance Application. Attendance can be used to measure employee performance. One of the measuring tools in measuring performance is the Key Performance Indicator (KPI). KPI values can be obtained from the Mobile-based Attendance Application, as currently implemented by an IT Company. But in its development, there is a shortage on the application features of Daily Attendance, Leave, Report Recaps Attendance and Report Recaps Leave. The value engineering method with the Analytical Hierarchy Process is used in this paper to obtain prioritized alternatives in the development of application feature updates. The results of the research show that the alternative with the largest percentage is owned by Alternative IV (45.6%). These results indicate that this alternative can be used as a recommendation for renewal of attendance application features on IT Company. Alternative IV shows optimal results such as the realization of application feature requirements for users, consumption of fewer workdays for 1-2 days, low costs, easy-to-understand feature design, and uncomplicated programming techniques.