DESIGN COURSE FEATURE ON E-COMMERCE APPLICATION

Abstract

The development of information technology makes it easier for users to get information. One way to get information is to use internet facilities. E-commerce is a web platform to provide information on products owned by sellers and consumers can see the desired product and buy it online. The development of e-commerce business or online buying and selling in Indonesia has increased drastically since the last few years. This is because Indonesia is one of the countries with the largest internet users in the world. MSME business actors in the field online printing do not yet have a place to accommodate their business so that they can be promoted to the public and prospective cunsumers. In general, the problems faced by each MSME are not much different. MSME business actors have difficulty marketing their products to consumers. So that a solution is given by creating an e-commerce application that can accommodate MSMEs to market their products. In addition to designing e-commerce applications, we also create learning features (courses) on this web application. The goal is that MSME actors in addition to marketing their products can also be provided with learning modules to be able to improve the marketing of MSME products. Course design using a user experience questionnaire (UEQ). The step taken is by conducting a literature study. Next, analyze the characteristics of the application usage. Then analyze user needs to create features needed in course design. After that, the designing a prototype. Then do the testing with the UEQ test. After completing the testing, the solution design is carried out in order to produce a better application. In usability testing by measuring satisfaction level is in the level of 73%. While testing with a user experience questionnaire, the value of the application is below average. the pragmatic quality level with a mean level of 0.825, the hedonic quality level with a mean level of 0.7 and overall comparison to benchmark is below average. The test results become the basis for improving the solution design to produce a better product.