International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 7 |
Year of Publication: 2022 |
Authors: Siddiq Fajar Bhaskoro, Imam Riadi |
10.5120/ijca2022922030 |
Siddiq Fajar Bhaskoro, Imam Riadi . Analysis of Risk Assessment on Attendance Information Systems using COBIT 5 Framework. International Journal of Computer Applications. 184, 7 ( Apr 2022), 16-24. DOI=10.5120/ijca2022922030
TVRI Yogyakarta has implemented digitalized information technology in achieving its organizational goals. To support its business processes, TVRI Yogyakarta uses an E-Presence Work Service Application which is used to manage the recording of employee attendance data so that employee attendance data can be identified automatically through the system and stored in the system database, but several risks occur such as data storage that is not recorded. properly so that it causes data loss and disrupted internet connections that affect the running of ongoing system processes. This research was conducted according to the COBIT 5 risk assessment guideline which focuses on two domains APO12 (Managing Risk) consisting of APO12.01 to APO12.06 and EDM03 (Ensuring Risk Optimization) consisting of EDM03.01 to EDM03.02. The assessment of the capability level used in the process assessment is done by collecting observation data, interviews, and questionnaires and then analyzing it with the Process Assessment Model so that it can find out the current capability value, expected capability value, gap and determine recommendations for each risk. Based on the results of testing the Capability Level in the APO12 (Managing Risk) domain, it is obtained a value of 3.67 which indicates the implementation of the process is at level 4 (Predictable Process) and EDM03 (Ensuring Risk Optimization) obtained a value of 3 which indicates the implementation of the process is at level 3 (Established). Process). The results of the gap based on calculations carried out by the APO12 process (Managing Risk) found a gap of 0.33 and EDM03 (Ensuring Risk Optimization) it was found that a gap of 1 ha was used as a recommendation. This research has been carried out well following the expected research objectives.