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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi JIPI (Jurnal Ilmu Perpustakaan dan Informasi)
Wiwit Ratnasari
Universitas Indonesia
Computer Science & IT Library & Information Science

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ALTERNATIVE CLASSIFICATION FOR ELEMENTARY SCHOOL LIBRARIES: A NARRATIVE LITERATURE REVIEW Prabowo, Boby; Ratnasari, Wiwit
JIPI (Jurnal Ilmu Perpustakaan dan Informasi) Vol 10, No 2 (2025)
Publisher : Progam Studi Ilmu Perpustakaan UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jipi.v10i2.25986

Abstract

This study aims to review alternative classification systems that can replace the Dewey Decimal Classification (DDC) in elementary school libraries, especially since the Indonesian National Library Regulation No. 4 of 2024 mandates DDC as the required system. The main issue discussed is the incompatibility of DDC with the cognitive and literacy development levels of young users. Using a narrative literature review method, eight relevant studies were analyzed and grouped into four categories of alternative classification systems: visual (color and symbol-based), interest-based, culturally-based, and locally contextualized systems. Findings indicate that alternative classification systems are more inclusive, intuitive, and aligned with how children perceive and interact with information. Visual systems facilitate independent searching and boost reading interest, while interest- and culture-based systems enhance emotional engagement. Locally contextualized systems allow school libraries to adapt to real-world needs. Based on these findings, the study recommends that the National Library provide greater flexibility and innovation opportunities in classification for school libraries, instead of enforcing a single, universal model. Classification systems should be adaptive and centered on students' needs, enabling school libraries to serve as meaningful, engaging learning spaces.
The Impact of Personal, Environmental, and Information Platform Factors on Disaster Information Sharing on Twitter Amriza, Rona Nisa Sofia; Ngafidin, Khairun Nisa Meiah; Ratnasari, Wiwit
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.2540

Abstract

Twitter has become a major platform for disseminating disaster news, providing people with disaster information quickly and precisely. A lot of essential and valuable information can be obtained from this online platform. Twitter users might be able to help with warnings and submit specific and accurate information in a disaster situation. This research attempts to examine factors that affect disaster information-sharing behavior. Furthermore, this study aims to integrate personal, environmental, and information platform factors to gain more insight into the factors influencing Twitter users' willingness to share disaster information. The hypotheses were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The result showed that Altruism, Self-efficacy, Community Identity, and Information Platforms significantly influence people's decisions to share disaster information on Twitter.
Co-Authors Khairun Nisa Meiah Ngafidin Prabowo, Boby Rona Nisa Sofia Amriza