Improving Data Integrity of Individual-based Bibliographic Repository Using Clustering Techniques

Firdaus Firdaus; Oky Budiyarti; Muhammad Anshori; Mira Afrina; Siti Nurmaini

doi:10.18495/comengapp.v7i1.223

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Affiliations

Firdaus Firdaus
Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya

Oky Budiyarti
Universitas Sriwijaya

Muhammad Anshori
Universitas Sriwijaya

Mira Afrina
Universitas Sriwijaya

Siti Nurmaini
Universitas Sriwijaya

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Improving Data Integrity of Individual-based Bibliographic Repository Using Clustering Techniques

Firdaus Firdaus ,
Oky Budiyarti ,
Muhammad Anshori ,
Mira Afrina ,
Siti Nurmaini

Vol 7 No 1 (2018)

DOI 10.18495/comengapp.v7i1.223

Submitted: Sep 29, 2017

Published: Feb 10, 2018

Abstract

This paper presents a method to improve data integrity of individual-based bibliographic repository. Integrity improvement is done by comparing individual-based publication raw data with individual-based clustered publication data. Hierarchical Agglomerative Clustering is used to cluster the publication data with similar author names. Clustering is done by two steps of clustering. The first clustering is based on the co-author relationship and the second is by title similarity and year difference. The two-step hierarchical clustering technique for name disambiguation has been applied to Universitas Sriwijaya Publication Data Center with good accuracy.