In the midst of the current pandemic conditions, all face-to-face activities are limited to minimize the spread of the Covid-19 virus and automatically all community activities that must be carried out online will increase, online buying and selling activities will also increase. This study aims to examine the effect of user experience on the Tokopedia ecommerce application in Indonesia. This research model adopts and modifies the user experience questionnaire (UEQ) and the HEART metrics framework. Data was collected by distributing online questionnaires using google form to Tokopedia application users. SEM-PLS was also used to analyse the data collected from 462 respondents to practically validate the hypothesized model. Attractiveness (AT), dependability (DE), stimulation (ST), novelty (NO), and task success (TS) all have a substantial impact on the use of the Tokopedia program, according to the findings. Meanwhile, efficiency (EF) and perspicuity (PE) have no discernible impact on the use of the Tokopedia app. Keyword — User Experience, User Experience Questionnaire, HEART Metrics, Adoption Attributes, Tokopedia
We live in a world where vast amounts of data are collected daily. At the bank, a large amount of data is recorded about their customers. This data is commonly used to create, maintain relationships and direct connections with customers to target them individually in the sale of certain products or banking offerings. Analyzing such data is an important need. This paper describes data mining approaches aim to build a predictive model that labels data into a predefined class. To define the processes and tasks that you must do to develop a successful Data Mining project using CRISP-DM Framework. This study will use Multilayer Perceptron and logistic regression as data mining technique. In this paper, the resulting model allows overfitting, so it can be avoided using cross validation. the model that provides the greatest average benefit is the Multilayer perceptron model with a 70% percentage split.
This study focuses on discovering the Critical Success Factors (CSFs) of the implementation of Information Technology (IT) or Information System (IS) related projects as the enablers to many organizational transformations. The core method for developing the CSFs is through Systematic Literature Review (SLR) for compiling past research related to CSFs to come up with a set of CSFs (as independent variables) to achieve IT/IS project success. As a result, five independent variables, namely, Leadership/Project Management; Effective Organization Communication; Project Team Capability/Competence; Methodology, Tools, and Techniques; and Project Documentation emerged and were processed further through the Likert survey method from 132 respondents of IT system implementers in Southeast Asian settings, particularly Indonesia, to study the possible relationship the variables might have toward IT Project Success as the dependent variable. The study's findings revealed that Effective Organization Communication, Project Team Capability/Competence, and Methodology, Tools, and Techniques have a significant relationship with IT Project Success, whereas Leadership/Project Management and Project Documentation are insignificant.
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