ANALISIS KUALITAS WEBSITE TANGGAP COVID-19 JAWA TIMUR MENGGUNAKAN END USER COMPUTING SATISFACTION DENGAN NEURAL NETWORK

Abstract

The emergence of the Covid-19 pandemic has made the use of information and communication technology increasingly emphasized. Information related to health protocols and the spread of Covid-19 is the government's obligation to create a healthy society. One of the efforts made by the East Java Provincial Government is building a website for information about Covid-19, namely infocovid19.jatimprov.go.id. With this website, it is hoped that it can become an intermediary for the government in responding to the ongoing pandemic problem through information and communication technology. This study aims to analyze the level of user satisfaction in accessing the Covid-19 response website in East Java Province. In addition, this study analyzes the most important variables in representing website user satisfaction. This study uses a descriptive quantitative method to explain the level of user satisfaction by using the End-user Computing Satisfaction (EUCS) framework which consists of variable format, accuracy, timeliness, content and ease of use. This study also uses a neural network algorithm to analyze the most important variables in explaining customer satisfaction. The results showed that the ormat variables, accuracy, timeliness, content and ease of use were considered satisfactory. In addition, the results of the analysis using the neural network show that the format variable (0.278) is the most important variable in explaining user satisfaction on the Covid-19 response website in East Java Province. Then followed by the variables timeliness (0.229), accuracy (0.224), ease of use (0.200) and content (0.066).