Improving Public Service Employment SystemsThrough Web Based Office Automation

Abstract

Efficiency in the government operations has been a demand of institutional performance assessment. Administration activities in the document preparation at public service employment office provide opportunity to optimize the use of paper. To encourage the use of information technology in Ministry of Manpower and Transmigration hence information systems and work processes are arranged with modern management with networked organizations to shorten decisionmaking lines and expand the control range, then were arranged strategy in the information system development at Ministry of Manpower and Transmigration as integral part to carry out egovernment and provide public service employment systems which reliable, trustworthy and can be accessed easily and cheaply. This research aims to decide the most appropriate information system model which was used to automate administrative work process, as well as improve the quality and efficiency in public services. Web based system was proposed to automate office activities. The system was developed as a web based system in order to its interoperability and simple distribution. Knowledge base was built using MySQL database and modelled using UML (Unified Modeling Language). The system divided into several subsystems which each subsystem is modeled with use case diagrams, activity diagrams, and state chart diagrams.The study produced an automation model which was a web-based. Automation models illustrated three main activities of training process, certification, and placement. Testing of models conducted with functional testing to present function and appearance of the system to get feedback how users understand the system and triangulation for data validation. Our finding highlight the importance office automation in public service employment will increase productivity and improve working quality with natural changes in information process organization. Capability automation applications in making decisions, managing and recalling information as how humans manage information will improve reports quality and productivity. Implementation of automation will increase from 2.81 sigma level becomes 4.525, which means the control and use of technology has increased. Finally, stakeholders recommended to implement a real-scale applications to automate training process in public service employment.