Usability testing of SOLAP for Indonesia agricultural commodity

Abstract

Spatial Online Analytical Processing (SOLAP) for Indonesia Agricultural Commodities has successfully developed in our previous study. The application is integrated into a data warehouse that manages historical agricultural commodities data in four sectors: food crop, horticulture, plantation, and livestock. The main features of SOLAP are providing historical data as the results of roll up and drill down operation and visualization of the data in crosstab tables, graphs, and map. In order to evaluate the SOLAP implementation, this study conducted usability testing by involving respondents as potential users of SOLAP. We use the Post-Study System Usability Questionnaire (PSSUQ) which tests the system based on efficiency, effectivity, and user's satisfaction. There are three testing aspects in PSSUQ, namely system usefulness, information quality, and interface quality with the Likert scale from 1 (low) to 7 (high). The measurement was done by involving 13 respondents who are postgraduate students of Bogor Agricultural University (IPB), researchers in Agrarian Study Center IPB, data analysis and data management staff of Data and Information Center, Ministry of Agriculture Indonesia. The results show that SOLAP for Indonesia Agricultural Commodities has high usability measures which reach 5.424. The testing results of each aspect are system usefulness of 5.54, information quality of 5.258, and interface quality of 5.433. In addition to PSSUQ, this study performed usability testing based on tasks completion. The result shows that the respondents are able to complete the OLAP operations and data visualization in an acceptable time.