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The Development of Assistant Selection Application of Information and Communication Technology Laboratory

This research aimed to design a support system to facilitate the decisionmaking process in terms of selecting the acceptance of Integrated ICT (Information and Communication Technology) Laboratory assistants using the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP method was used for the process of determining the weight of each criterion determined from the Integrated ICT Laboratory, Budi Luhur University, while the TOPSIS method was used to determine the ranking based on the calculated values. The method used in this research was the waterfall method consisting of 4 stages, including the needs analysis stage, design, testing and implementation. For testing, User Interface Testing was used which aimed to determine whether the functionality of interface elements such as buttons and hyperlinks contained on each page was working properly. In addition, validation testing was also carried out which aims to determine whether the validations in the system had been running well. The results showed that the decision support system designed using the Analytical Hierarchy Process (AHP) method had been tested to determine the weight of each criterion needed in the assistant selection process, it was attendance with 0.284, Competence 0.143, Project 0.414, Hardware 0.089 and interview with 0.070. Meanwhile, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was able to determine the ranking based on the results of calculating the criteria values for each assistant candidate and the 2 people who occupied the top rankings were declared to have passed the selection. The test results showed that all system elements functioned as designed.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:78410
Date11 March 2022
CreatorsTjether Maruanaya, Greghar Juan, Maruanaya, Rita Fransina
PublisherTUDpress
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation978-3-95908-235-8, urn:nbn:de:bsz:14-qucosa2-780336, qucosa:78033

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