Jurnal Teknologi Informasi dan Multimedia
Vol. 7 No. 4 (2025): November

Pengujian Usability Testing Menggunakan Metode System Usability Scale untuk Menilai Aplikasi SIKUU

Nia Saputri Utami (Program Studi Teknik Elektro, Institut Teknologi Sumatera)
Khansa Salsabila Suhaimi (Program Studi Teknik Elektro, Institut Teknologi Sumatera)
Tria Kasnalestari (Program Studi Teknik Elektro, Institut Teknologi Sumatera)
George Ray Banurea (Program Studi Teknik Elektro, Institut Teknologi Sumatera)
M. Imam Robani (Program Studi Teknik Elektro, Institut Teknologi Sumatera)
Dani Rahmadana (Program Studi Teknik Elektro, Institut Teknologi Sumatera)



Article Info

Publish Date
01 Oct 2025

Abstract

SIKUU or sistem informasi kendali suhu dan lampu is an android based application created with the purpose to monitoring temperature, light density, number of people, and electrical power consumption in a room. SIKUU needs to be tested to determine the level of ease and the purpose of application. Usability testing is the method for testing it. An easy method to use for usability testing is the system usability scale (SUS). SUS Method very popular because of its advantages such as involves end user directly, no special criteria for selecting end user, can be used for fewer respondents but the results are still reliable, the test scale is easy to understand, and the results are effective because it can immediately categorize the application as usable or not. Then, for SIKUU, usability testing was carried out involving 35 respondents from Institute Technology of Sumatera particurally from various study programs. These respondents were introduced to the SIKUU for the first time. The final SUS score is 71,14 which indicates that the acceptability level is in the acceptable category, and adjective rating in the good category. Meanwhile, i terms of the SUS percentile rank, the score falls within category C. In this study, the primary focus of the usability testing was solely on the final score. Therefore, form the users' perspective, SIKUU is considered feasible for use.

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...