International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Business Process Automation for Sri Lankan Government Organizations

Abstract

This research paper presents an innovative approach to improve government office processes through the strategic implementation of Machine Learning (ML) techniques. The study consists of four parts: a user-friendly platform for gathering process data, ML algorithms for determining average processing durations, an extensive “Efficiency Report” classifying operation into high and low efficiency, proposing strategic solutions for low-efficiency processes, and intuitive visuals for exploring potential improvements. This research strengthens data-driven decision-making processes, improves resource allocation, and optimizes governmental procedures, ultimately improving government office efficiency.

Country : Sri Lanka

1 Buddhima Attanayaka2 Sasini Hathurusinghe3 Karunarathne K.V.D.D.4 A.S.N. Fernando5 Dewagiri D.M.U.B.6 Wilarachchi L.N.

  1. Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Information Technology, Specializes in Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Information Technology, Specializes in Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 209-216

doi.org/10.47001/IRJIET/2023.711029

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