Decision Support System for Laboratory Computer Selection for Procurement Using the MOORA Method at SMK Negeri 2 Ulu Moro’o

Abstract

In the procurement of goods, SMK Negeri 2 Ulu Moro'o still selects laboratory computers
manually without clear criteria, making it subjective and difficult to justify. It is very important
to consider the situation of schools in the island region because they have limited BOSP funds,
2,200 watts of electrical power, and their location is far from service centers. The objective of
this research is to create a web-based decision support system used for the selection of laboratory
computers. The multi-objective optimisation method based on the ratio analysis (MOORA) is
the foundation of this method. To evaluate, seven criteria are used: price, processor performance,
RAM capacity, storage capacity, warranty and after-sales service, power consumption, and local
content. Alternative data is obtained from the providers' offers, while the school assigns weights
to the criteria through interviews. The system was built using the Waterfall model, modelled
using UML, and tested through black-box testing and manual calculation accuracy tests. The
results show that A4 is the best option with an optimisation value of 0.1775, followed by A3
with a value of 0.1558, and the cheapest option is ranked last. The top ranking remains stable,
according to the sensitivity test on four weight scenarios. There is evidence that the main factor
distinguishing the top two choices is the amount of power used. Objective, transparent, and
recorded recommendations are produced by a system built to support accountable procurement
in educational units.