Implementation of Statistics Features Collection of Scientific Works in Digilib Application

DOI

10.2991/978-2-38476-008-4_146How to use a DOI?

Keywords

Independent upload; Digilib; Statistics; Collection of scientific works

Abstract

The library is one of the sources for disseminating information, as well as a place for collecting scientific works from various faculties at the State University of Surabaya. Digilib is one of the tools used to collect scientific work. However, the problem faced is that it is not known how many collections have been uploaded to the digilib application. Moreover, the data on the number of collections for scientific papers with grades A and A- (must collect hard copies) must match the data in the system. The need for the State University of Surabaya central library is also a proof of work report that the library has validated how many scientific papers have been uploaded. The purpose of this research is to develop a feature that can provide information about the number of collections in the application through the addition of statistical features. The method used in the development of statistical features in this study is to use the DMAIC feature (define, measure, analyse, improve, and control). The results of this study are in the form of statistical features that provide general information about the number of collections contained in the digilib application and can be accessed on web pages, both published and unpublished collections. Researchers also provide a download menu needed by librarians as a report on how many collections have been validated per faculty and per year.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Johan Wahyudi
AU  - Tri Lestari
AU  - Bagus Pambudi
AU  - Humayyun Nabila Ramadhani
PY  - 2023
DA  - 2023/03/19
TI  - Implementation of Statistics Features Collection of Scientific Works in Digilib Application
BT  - Proceedings of the International Joint Conference on Arts and Humanities 2022 (IJCAH 2022)
PB  - Atlantis Press
SP  - 1358
EP  - 1366
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-008-4_146
DO  - 10.2991/978-2-38476-008-4_146
ID  - Wahyudi2023
ER  -