Evaluasi Human Machine Interface Menggunakan Kriteria Usability Pada Sistem E-learning Perguruan Tinggi (Studi Kasus STIMIK AKBA Makassar)

Ahmad, Qaslim and Toni Prahasto, M.ASc, Ph.D and Rahmat Gernowo, M.Si (2014) Evaluasi Human Machine Interface Menggunakan Kriteria Usability Pada Sistem E-learning Perguruan Tinggi (Studi Kasus STIMIK AKBA Makassar). Evaluasi Human Machine Interface Menggunakan Kriteria Usability Pada Sistem E-learning Perguruan Tinggi (Studi Kasus STIMIK AKBA Makassar) .

[img]PDF
Restricted to Registered users only until 30 September 2019.

2873Kb

Abstract

Integration HMI with usability in user interface design process is a standart of the success of a website. The design process is done through the approach to the end user to find a problem solution of human machine interface phenomena. It can also generate the maximum level of satisfaction and success of implementation of the website. The purpose of this research is to evaluate HMI using usabilitycriteria to know the application of HMI concept in e-learning and provide proposals for improvements to the HMI. Questionnaire Data were processed using a descriptive analysis and methods of CFA to know the variables that are weakest and which indicators have an important role in shaping the research variables. Evaluation results indicate the application concept of HMI in the e-learning had been done but not the maximum. Data analysis of the results obtained that the main problem lies in the accessibility criteria in the meantime indicator latent variables from forming error prevention, learnability, memorability, visibility and accessibility of influential factor loading values indicated significantly (unidimensionalitas) in shaping the criteria of latent variables in first-order CFA. The end result of this research is the proposal of improvement as a HMI solution in the form of principles and technicsuser interface design. This solution is focused on the development of standards for the quality of the interface in e-learning systems and not on the digital learning content presented on the e-learning system. Keywords :Human Machine Interface, Usability, Confirmatory factor analisys, Descriptive Analisis, Elearning.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Postgraduate Program > Master Program in Information System
ID Code:43740
Deposited By:Mrs Rulita MSI Undip
Deposited On:14 Mar 2016 21:11
Last Modified:14 Mar 2016 21:11

Repository Staff Only: item control page