Cited by 47Information Technology Governance and StrategySoftware Engineering Techniques and PracticesInformation Systems Education and Curriculum Development

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Evaluation Model for the Implementation of Information Technology Service Management using Fuzzy ITIL

Open access
Yandri, Rudy, Suharjito, Utama, Ditdit Nugeraha, Zahra, Amalia·2019·Procedia Computer Science

Abstract

Information technology (IT) service management is an essential part for development of a company’s IT. This case study discusses how to convalesce IT services using the information technology infrastructure library (ITIL) framework and measure service level management (SLM) using Fuzzy ITIL (FITIL) approach. This paper aims to obtain an appropriate model for the measurement of IT service management by using fuzzy approach. Besides that, this paper aims to be able to provide an improving recommendations and IT governance based on current value (as is) and expected value (to be). The research method functioned is by measuring maturity level using best practice of ITIL v3 to condition before and after of improving process based on a questionnaire that has been performed. After obtaining the value of the maturity level for each cycle within ITIL, then the value will be created as an input for FITIL. The manufacture of FITIL is done in 4 stages, namely fuzzification, knowledge base, inference, and defuzzification. The results of the conditions before and after of the improving process have been successful in increasing the level of maturity in each ITIL cycle. The case study indicates an improvement in the increased level of maturity in SLM with FITIL approach.

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Crossref · 10.1016/j.procs.2019.08.169

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Fig. 1 . Fig. 1. Membership function
Fig. 1 . Fig. 1. Membership functionCC-BY-NC-ND · From the PDF
Fig. 2 . Fig. 2. Current output value (as is)
Fig. 2 . Fig. 2. Current output value (as is)CC-BY-NC-ND · From the PDF
Fig. 4 . Fig. 4. Gap Analysis Result
Fig. 4 . Fig. 4. Gap Analysis ResultCC-BY-NC-ND · From the PDF

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Show all 1 references

Research works printed but not linked: 5

  1. Mesquida, 2015, Integrating IT service management requirements into the organizational management system, Computer Standards & Interfaces., 37, 80, 10.1016/j.csi.2014.06.005 · DOI
  2. McNaughton, 2010, Designing an evaluation framework for IT service management, Information & Mangement., 47, 219
  3. Gervalla, 2018, IT infrastructure library (ITIL) framework approach to IT governance, IFAC-PapersOnLine., 51, 181, 10.1016/j.ifacol.2018.11.283 · DOI
  4. Zadeh, 2008, Is there a need for fuzzy logic?, Information Sciences., 178, 2751, 10.1016/j.ins.2008.02.012 · DOI · Paper page
  5. Utama, 2019, Fuzzy logic for simply prioritizing information in academic information system, International Journal of Mechanical Engineering and Technology., 10, 1594

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Metadata

Authors
Yandri, R., Suharjito, Utama, D. N., & Zahra, A.
Affiliations
Binus University (ID)
Corresponding author
Utama, Ditdit Nugeraha
Venue
Procedia Computer Science
Publisher
Elsevier BV
Published
2019
Volume
157
Pages
290-297
ISSN
1877-0509 (ISSN-L)
OpenAlex
W2978911040
Cited by
47
References
1
Citations by year
2026: 4 · 2025: 4 · 2024: 12 · 2023: 13 · 2022: 8 · 2021: 4 · 2020: 2
FWCI
4.90
Type
conference paper
Language
en
Open access
Locations
Procedia Computer Science (publishedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
  • Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
Keywords
IT service management, ITIL, service level management, fuzzy logic, IT governance, ITIL v3, defuzzification, inference, knowledge base

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