2020Jurnal MantikOpen access

Information Technology Governance Self-Assessment Application Using Cobit 5 for Supporting Smart Cities

Aisyah Nuraeni, Toto Suharto

Open full text 1 citations

Abstract

Information technology governance self–assessment application aims to align the evaluation process that requires a large enough resource both in human resources, cost, and time. By knowing the portrait of information technology governance conditions, a City can control the information technology investment that has been issued so that it is in line with the goals of the City and supports the implementation of a Smart City. The research method used is a qualitative method with COBIT 5 as the Information Technology Governance Evaluation framework. Meanwhile, the software development method used is Rapid Application Development (RAD) with the Unified Modeling Language (UML) design model. The result obtained is a ranking of the maturity level of information technology governance with application media as a means of collecting assessment data so that it can help improve the efficiency of the implementation of Information Technology Governance Evaluation in Cities.

About this research paper

What this paper is about

Information technology governance self–assessment application aims to align the evaluation process that requires a large enough resource both in human resources, cost, and time. By knowing the portrait of information technology governance conditions, a City can control the information technology investment that has been issued so that it is in line with the goals of the City and supports the implementation of a Smart City. The research method used is a qualitative method with COBIT 5 as the Information Technology Governance Evaluation framework. Meanwhile, the software development method used is Rapid Application Development (RAD) with the Unified Modeling Language (UML) design model. The result obtained is a ranking of the maturity level of information technology governance with application media as a means of collecting assessment data so that it can help improve the efficiency of the implementation of Information Technology Governance Evaluation in Cities.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Information technology governance self–assessment application aims to align the evaluation process that requires a large enough resource both in human resources, cost, and time. By knowing the portrait of information technology governance conditions, a City can control the information technology investment that has been issued so that it is in line with the goals of the City and supports the implementation of a Smart City. The research method used is a qualitative method with COBIT 5 as the Information Technology Governance Evaluation framework. Meanwhile, the software development method used is Rapid Application Development (RAD) with the Unified Modeling Language (UML) design model. The result obtained is a ranking of the maturity level of information technology governance with application media as a means of collecting assessment data so that it can help improve the efficiency of the implementation of Information Technology Governance Evaluation in Cities.

Key concepts: COBIT, Information technology, Process management, Corporate governance, Computer science, Information technology management, Knowledge management, Information system

Related papers

Back to paper searchBrowse research topicsOriginal source
Information Technology Governance Self-Assessment Application Using Cobit 5 for Supporting Smart Cities — Research Paper | ScholarLens