HETEROGENOUS STRUCTURE DATA INTEGRATION ON EDUCATION AND SCIENTIFIC PUBLICATION DOMAIN

• Main Author: ARYO TYASONO (NIM : 13513075), BIMO
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/26119
• Institution: Institut Teknologi Bandung

<p align="justify">Educational institution have many scattered educational and scientific publication data that is available to public on the internet. The data is scattered from research groups website, department website, and majors website. Other body inside the institute may also contain the education and scientific publication data. (Darmawan, 2017) have finished final project about how to collect those data to the structured data but still in the heterogenous structure. The next process is to determine how to utilize the structured data. <br /> <br /> This final project aims to build a system that consists of data integration part and data visualization part. Integration process consists of data cleaning, data indexing, record pair comparison, and record pair classification. The focus of this final project <br /> <br /> is to make a whole working system that will use the existing tools and library and will find the most optimal solution to the problem. Testing for the final project including comparison of the performance from various algorithm (Jaro, Winkler, Q-Gram, and Levenshtein) to integrate the data. It is concluded that the final project successfully build the whole working system to utilize every educational and scientific publication data in the form of output from another final project (Darmawan, 2017) with removing the duplicates and display the visualisation in the web platform. It is hoped that this final project will be <br /> <br /> developed further to handle more cases outside the domain of education and scientific publication.<p align="justify">