TY - GEN
T1 - Visulization of Indonesian Bibliography
T2 - 2018 International Workshop on Big Data and Information Security, IWBIS 2018
AU - Achsan, Harry T.Yani
AU - Wibowo, Wahyu Catur
AU - Putri, Wahyuningdiah T.H.
AU - Achsan, M. Muhtar Baswara
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/24
Y1 - 2018/9/24
N2 - In our research, we found that there were no extensive study about library's collection in Indonesian language due to the lack of library of things metadata. As the consequence, the Government of Republic of Indonesia has no depiction of the output oflndonesian authors. The aim of this paper is to describe Indonesian bibliography by tools of visualization. In absence of the needed metadata of Indonesian book, we must gather those data ourselves. The method we employ for collecting data is using focused-web crawler. The crawler has collected about 1.48 billion items (holdings) in 25 million distinct titles in which 71 thousands titles were in Indonesian language. Novelty of this research is visualization of Indonesian bibliographic records by its subject headings and call number. By using scientometrics approach, we reveal that more than 90% of Indonesian publication are in social sciences mostly in the subject of Politics and Government, Economic History, Social Conditions, Indonesian Fiction, and Islam. The portion of exact sciences is about 8% which consists of Natural Sciences (1.26%), Medicine (1.26%), Agriculture (3.69%) and Technology (2.00%).
AB - In our research, we found that there were no extensive study about library's collection in Indonesian language due to the lack of library of things metadata. As the consequence, the Government of Republic of Indonesia has no depiction of the output oflndonesian authors. The aim of this paper is to describe Indonesian bibliography by tools of visualization. In absence of the needed metadata of Indonesian book, we must gather those data ourselves. The method we employ for collecting data is using focused-web crawler. The crawler has collected about 1.48 billion items (holdings) in 25 million distinct titles in which 71 thousands titles were in Indonesian language. Novelty of this research is visualization of Indonesian bibliographic records by its subject headings and call number. By using scientometrics approach, we reveal that more than 90% of Indonesian publication are in social sciences mostly in the subject of Politics and Government, Economic History, Social Conditions, Indonesian Fiction, and Islam. The portion of exact sciences is about 8% which consists of Natural Sciences (1.26%), Medicine (1.26%), Agriculture (3.69%) and Technology (2.00%).
KW - Indonesian bibliography
KW - Library of things
KW - Scientometrics;
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85055504126&partnerID=8YFLogxK
U2 - 10.1109/IWBIS.2018.8471719
DO - 10.1109/IWBIS.2018.8471719
M3 - Conference contribution
AN - SCOPUS:85055504126
T3 - 2018 International Workshop on Big Data and Information Security, IWBIS 2018
SP - 75
EP - 80
BT - 2018 International Workshop on Big Data and Information Security, IWBIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 May 2018 through 13 May 2018
ER -