Implementation of Interpretative Structural Modelling for Implementation of Water Resources Infrastructure Asset Data Processing Management Information Systems
Citra Puspita Rani(a), Winnie Septiani(b*), Dedy Sugiarto(c)

a,b,c) Master of Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti, Indonesia
*winnie.septiani[at]trisakti.ac.id


Abstract

The Directorate of Water Resources Engineering has a management information system for processing infrastructure asset data. The usefulness of the information system is to support the success of the system implementation. The purpose of this research is to plan a strategic formulation to support the success of the implementation of the management information system for processing SDA infrastructure data. The information system implementation strategy is carried out with Interpretative Structural Modelling (ISM) techniques. The ISM elements used in this formulation are (1) Needs in Programme Implementation- (2) Main Constraints in Programme Development- (3) Actors Involved in Programme Success. The key elements of the Needs element are the Directorate of Technical Development, Availability of Funds and Availability of Human Resources to Complete Field Data. Key elements of the Constraints element are limited Human Resources (HR), Lack of Understanding of Natural Resources, No Regulatory Policies and Availability of Data that cannot support. Key elements for actors involved and influential in the implementation of the programme are the Directorate General of Natural Resources and the River Basin Agency (B/BWS). Strategies for the successful implementation of the SDA information system require the role of the Directorate General of Natural Resources, as well as the existing B/BWS, including the role of the Directorate of Bina Teknik in terms of preparing funds and the availability of human resources to complete the data.

Keywords: ISM, Needs, Actors, Constraints, Information System

Topic: Education

BIS 2023 Conference | Conference Management System