Ahmad Luthfi

Assistant Professor

Research interest:
Digital Forensics, Computer Security, Open Government Data, e-Government

Email: ahmad.luthfi[at]uii.ac.id

Education:

Dr. | Doctor of Philosophy – Delft University of Technology, The Netherlands

M.Kom. | Master of Computer Science – Universitas Gadjah Mada, Indonesia

S.Kom. | Bachelor of Computer – Bina Darma University, Indonesia

Description

Luthfi is an assistant professor and researcher at the Department of Informatics, Universitas Islam Indonesia (UII), with over 20 years’ experience in computer science study. Experienced lecturer, inspirational tutor and meticulous examiner with a knack for recognising and encouraging individual growth. Luthfi completed his Doctoral degree (2021) in Information and Communication Technology (TU Delft), Master degree (2005) in Computer Science (UGM), and Bachelor degree (1999) in Information Systems (UBD). A dedicated, detailed and capable research fellow with deserving several reputable publications during the last five years.

During his PhD research, he published and presented his research in a series of blindly peer-reviewed venues in various international conferences, such as IFIP eGOV-CeDEM-ePart, Digital Government Society (dg.o), I3E conference and BMSD symposium. To understand the large-scale Engineering of Complex Systems based on Big Data analysis, Luthfi joined the IDEA League Doctoral School in 2018. Four different technical universities hosted sessions in TU Delft (Netherlands), RWTH Aachen (Germany), Politecnico Milan (Italy), and the University of Göteborg (Sweden).

Luthfi has been involved as a technical reviewer for scientific articles, such as Government Information Quarterly, Information Polity, and Technology in Society, and Transforming Government. In order to disseminate his research novelty, Luthfi introduced his decision-making support method for opening data to several government domains in the Netherlands, such as at the Unit Data Analytics and Big Data, Customs National Office in Rotterdam, and Department of Knowledge & Advice, National Archive in Den Haag.

Selected publications

Luthfi, A., & Janssen, M. (2021). A Stakeholders Taxonomy for Opening Government Data Decision-making. Paper presented at 11th International Symposium (BMSD), pp. 384-391, 5-7 July 2021, Sofia, Bulgaria. ISBN: 978-3-030-79975-5, ISSN: 1865-1348. https://doi.org/10.1007/978-3-030-79976-2_26
Luthfi, A., Rukanova, B., Molenhuis, Janssen, M., & Tan, Y.H. (2020). Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs. Paper presented at the EGOV-CeDEM-ePart 2020, pp. 51-58, 31 August-2 September 2020, Linköping University, Sweden.
Luthfi, A., Janssen, M., & Crompvoets, J. (2020). Stakeholder Tensions in Decision-making for Opening Government Data. Paper presented at 10th International Symposium (BMSD), pp. 331-340, 6-8 July 2020, Berlin, Germany. ISBN: 978-3-030-52305-3, ISSN: 1865-1348. https://doi.org/10.1007/978-3-030-52306-0_23
Luthfi, A., Janssen, M., & Crompvoets, J. (2019). Decision Tree Analysis for Estimating the Costs and Benefits of Disclosing Data. Paper presented at the 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, pp. 205-217, 18-20 September 2019, Trondheim, Norway. ISBN: 978-3-030-29373-4, ISSN: 0302-9743. https://doi.org/10.1007/978-3-030-29374-1_17
Luthfi, A., & Janssen, M. (2019). A Comparative Study of Methods for Deciding to Open Data. Paper presented at the 9th International Symposium (BMSD), pp. 213-220, 1-3 July 2019, Lisbon, Portugal. ISBN: 978-3-030-24853-6, ISSN: 1865-1348. https://doi.org/10.1007/978-3-030-24854-3_14
Luthfi, A., & Janssen, M. (2019). Open Data for Evidence-based Decision-making: Data-driven Government Resulting in Uncertainty and Polarization. International Journal on Advanced Science Engineering and Information Technology, Volume 9, Issue 3, pp. 1071-1078. ISSN: 2088-5334.
Luthfi, A., Rehena, Z., Janssen, M., & Crompvoets, J. (2018). A Fuzzy Multi-criteria Decision Making Approach for Analysing the Risks and Benefits of Opening Data. Paper presented at the 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018, pp. 397-412, 30 October-1 November 2018, Kuwait City, Kuwait. 978-3-030-02130-6, ISSN: 0302-9743. https://doi.org/10.1007/978-3-030-02131-3_36
Luthfi, A., Janssen, M., & Crompvoets, J. (2018). A Causal Explanatory Model of Bayesian-belief Networks for Analysing the Risks of Opening Data. Paper presented at the 8th International Symposium (BMSD), pp. 289-297, 2–4 July 2018, Vienna, Austria. ISBN: 978-3-319-94213-1, ISSN: 1865-1348. https://doi.org/10.1007/978-3-319-94214-8_20
Luthfi, A., & Janssen, M. (2017). A Conceptual Model of Decision-making Support for Opening Data. Paper presented at the 7th International Conference E-Democracy, pp. 95-105, 14-15 December 2017, Athens, Greece. ISBN: 978-3-319-71116-4, ISSN: 1865-0929. https://doi.org/10.1007/978-3-319-71117-1_7
Mazdadi. M.I., Riadi, I., Luthfi, A. (2017).Live Forensics on RouterOS using API Services to Investigate Network Attacks. International Journal of Computer Science and Information Security (IJCSIS), Volume. 15, No. 2.
Kurniawan, A., Riadi, I., Luthfi, A. (2017). Forensic Analysis and Prevent of Cross-Site Scripting in Single Victim Attack Using Open Web Application Security Project (OWASP) Framework. Journal of Theoretical & Applied Information Technology. Volume 29, No. 6.
Anwar, N., Riadi, I., Luthfi, A. (2016). Forensic SIM card cloning using authentication algorithm. International Journal of Electronics and Information Engineering. Volume.4, No.2, pp.71-81, https://doi.org/10.6633/IJEIE.201606.4(2).03

Ahmad Luthfi

Assistant Professor

JURUSAN INFORMATIKA

TAUTAN CEPAT