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

Buddhima AttanayakaDepartment of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaSasini HathurusingheDepartment of Information Technology, Specializes in Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaKarunarathne K.V.D.D.Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaA.S.N. FernandoDepartment of Information Technology, Specializes in Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaDewagiri D.M.U.B.Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaWilarachchi L.N.Department of Information Technology, Specializes in Information System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 209-216

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711029

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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.

Keywords

Machine Learning, Efficiency Enhancement, Process Optimization, Data Driven Decision-Making, Government Office Efficiency


Citation of this Article

Buddhima Attanayaka, Sasini Hathurusinghe, Karunarathne K.V.D.D., A.S.N. Fernando, Dewagiri D.M.U.B., Wilarachchi L.N., “Business Process Automation for Sri Lankan Government Organizations” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 209-216, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711029

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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