Gunawan Budiprasetyo, Yoppy Yunhasnawa, Mustika Mentari, Dito Cahya Pratama
Research data between Indonesian institutions such as universities are mainly managed in an isolated way between research groups, thus creating difficulties in unveiling potentially rich insights within the groups. There would be considerably arduous tasks to explore research evolutions and formulate novelties using the current systems. Therefore, an urgent software enhancement in the form of a platform with various additional features is required to share data in a secure and controllable environment as well as to encourage the accountability and reproducibility of the research data. This paper presents a big data architecture, which is a scheme of big data system with four components for the development, which exhibits capabilities to store, query, download, and cite heterogeneous research data, at the same time giving data proprietors to get control of their assets. Review of designs are done from various implementations of web, mobile and institutional platforms where large data management are applied to develop big data system (BDS) functions and its constituents. BDS is a system that contains technologies that process and analyze a large amount of data. The subsequent design has demonstrated an effective front-end component and adequate back-end component by utilizing five core capabilities that exhibit BDS control and data management by using the IMDb and IMDb+ data sets to predict the popularity of films with several classifiers. The adoption of specific API has also given further advantage which gives more controls in the navigation system uses SPARQL query federation © MIR Labs, www.mirlabs.net/ijcisim/index.html
State Polytechnic of Malang, East Java, Jl. Soekarno Hatta No.9, Malang, 65141, Indonesia