Risk Management for New Student Admission Information Systems at Higher Education using the Octave Allegro Approach

Titus Kristanto; Riza Akhsani Setyo Prayoga; Muhammad Nasrullah; Mustafa Kamal; Wahyuddin S

doi:10.34306/conferenceseries.v4i1.637

Authors

Titus Kristanto Institute Technology Telkom Surabaya
Riza Akhsani Setyo Prayoga Institute Technology Telkom Surabaya
Muhammad Nasrullah Institute Technology Telkom Surabaya
Mustafa Kamal Institute Technology Telkom Surabaya
Wahyuddin S Institute Technology Telkom Surabaya

DOI:

https://doi.org/10.34306/conferenceseries.v4i1.637

Keywords:

Risk Management, Octave Allegro, Information Systems, Selection for New Student Admissions

Abstract

In the current digital era, especially in the world of education, the use of information and communication technology (ICT) is growing rapidly to meet needs. Universities rely on information systems, especially in managing new student admissions. The new student admission selection information system contains sensitive and dangerous prospective student data, as well as the risks that arise in the information system, limited to data processing during the new student admission process and the administration process, thus causing problems. The New Student Registration Information System is one of the services provided by the university as part of the new student registration process. Therefore, risk management is needed to minimize the impact of risks on maintaining data integrity, confidentiality, and availability. The aim of the research is to identify, analyze, and evaluate risks when using information systems for new student admission procedures. The approach used in risk management is Octave Allegro, and Octave Allegro is used to help evaluate information assets. The method used is data collection by conducting interviews with related sources. Based on the findings on the New Student Admissions site, there are 5 risk areas; 9 IT risks were identified as a result of potential risk analysis; and 4 IT risks were mitigated based on recommendations.

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