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All Journal Jurnal Berkala Ilmu Perpustakaan dan Informasi Register: Jurnal Ilmiah Teknologi Sistem Informasi JIPI (Jurnal Ilmu Perpustakaan dan Informasi) Al-Ma`mun: Jurnal Kajian Kepustakawanan dan Informasi Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan Governance IT Adoption and Technology Advance JPP (Jurnal Pendidikan dan Pembelajaran)
Wiwit Ratnasari
Department Of Library And Information Science, Universitas Indonesia
Computer Science & IT Library & Information Science

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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.
Exploring the Development of Bibliometric Research in Indonesia Ratnasari, Wiwit; Amriza, Rona Nisa Sofia
Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan Vol. 28, No. 1
Publisher : UI Scholars Hub

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Abstract

The growing availability of large bibliographic databases and analytical tools has accelerated the adoption of bibliometric methods across research fields worldwide. In Indonesia, bibliometric approaches have been widely applied across diverse domains; however, existing studies remain largely discipline-specific and lack a comprehensive national-level overview of how bibliometric research itself has developed. This study addresses this gap by conducting a systematic bibliometric analysis of bibliometric publications produced by Indonesian researchers. A total of 532 publications published between 2017 and 2025 were retrieved from the Scopus database and analyzed using bibliometric techniques, including descriptive analysis of study characteristics, co-authorship analysis, co-citation analysis, and keyword co-occurrence analysis with VOSviewer. The findings reveal that the development of bibliometric research in Indonesia has progressed through two phases: an initiation phase (2017–2020), characterized by relatively few but highly cited publications, and an expansion phase (2021–2026), marked by rapid growth and broader adoption across disciplines. These findings indicate that bibliometrics has evolved into a cross-disciplinary methodological bridge within the Indonesian research landscape, although its future development may depend on stronger integration between quantitative mapping techniques and theoretically grounded domain analysis.
Prediksi Korupsi Menggunakan Indikator tata Kelola Publik (Public Governance) Berbasis Machine Learning Intan Azizah; Rona Nisa Sofia Amriza; Wiwit Ratnasari
Governance IT Adoption and Technology Advance Vol. 1 No. 1 (2026)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/govita.v1i1.10401

Abstract

Corruption is a global problem faced by almost all countries and has a significant impact on development. Corruption is known to hamper economic growth by disrupting production efficiency and reducing innovation. Therefore, early detection of potential corruption is crucial.  The purpose of this study is to predict corruption levels using  public governance indicators through a machine learning approach. The models used include Random Forest Regression, Decision Tree Regression, XGBoost Regression, and Gradient Boosting Regression. The results show that  Random Forest Regression has the best predictive performance, as indicated by an R² value of 0.9802, higher than the other models. Furthermore, the results of the feature importance analysis indicate that the control of corruption dimension is the most dominant factor in determining the Corruption Perception Index (CPI) value. The predictive model allows for early warning of potential increases in corruption and helps focus improvements in governance by strengthening corruption control to support  sustainable development.
ALTERNATIVE CLASSIFICATION FOR ELEMENTARY SCHOOL LIBRARIES: A NARRATIVE LITERATURE REVIEW Boby Prabowo; Wiwit Ratnasari
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.
Teachers’ Readiness to Adopt AI for Teaching Materials Development: The Impact of AI Literacy Training at a Senior High School in Depok Kiki Fauziah; Hanif Inamullah; Aviazka Firdhaussi; Wiwit Ratnasari; Sadewa Ersa Pamungkas; Annisa Rizky
JPP (Jurnal Pendidikan dan Pembelajaran) Vol. 33 No. 1 (2026)
Publisher : Lembaga Pengembangan Pendidikan dan Pembelajaran, Universitas Negeri Malang in Collaboration with Asosiasi Pendidik dan Pengembang Pendidikan Indonesia (APPI)

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Abstract

Background: This article analyses teachers’ readiness to adopt artificial intelligence when developing teaching materials. It explicitly measures teachers’ competency after participating in AI literacy training. Objective: This study aimed to determine whether the training can improve high school teachers’ understanding and competence in utilising generative artificial intelligence as a tool for developing teaching materials. Method: This quantitative study employed a one-group pretest–posttest design and a pre-experimental method. Fifty teachers at SMAN 1 Depok were chosen as responders using a total sampling technique. A questionnaire was used to gather information in order to assess the effectiveness of the AI literacy training program. In order to supplement the quantitative data, observations and interviews were also carried out. Results: The study's findings show that instructors at SMAN 1 Depok are highly prepared to incorporate AI into the creation of instructional materials. The AI literacy training has effectively improved the teachers’ perceptions, knowledge, and skills while applying AI in educational contexts. Conclusion: Seven variables measured in this study, which include aspects of understanding, skills, views, ethics, threat perception, innovation, and job satisfaction, experienced a statistically significant increase (p < 0.05), with a large effect size (Cohen’s d > 0.8) in almost all aspects, indicating a substantial practical impact of the training.
Pengaruh Kekhawatiran Privasi dan Kepercayaan terhadap Institusi terhadap Penerimaan Kebijakan Wajib Unggah Skripsi di Perguruan Tinggi: Pendekatan Kerangka APCO Ayuk Kusum Ningrum; Ari Nugraha; Wiwit Ratnasari
Al-Ma mun Jurnal Kajian Kepustakawanan dan Informasi Vol. 7 No. 1 (2026)
Publisher : Program Studi Perpustakaan dan Sains Informasi UIN Prof. K.H. Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/jkki.v7i1.16446

Abstract

A B S T R A C T Open access institutional repositories contribute to knowledge dissemination in higher education; however, mandatory thesis deposit policies may raise students’ concerns about personal data privacy. This study examines factors influencing students’ acceptance of a mandatory undergraduate thesis upload policy using the Antecedents–Privacy Concerns–Outcomes (APCO) framework. An explanatory quantitative survey was conducted with 364 fresh graduates who had recently completed the undergraduate thesis upload process at Universitas Prof. K.H. Saifuddin Zuhri, selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4. The results show that privacy awareness positively and significantly affects privacy concern (β = 0.484; T = 9.910; p < 0.001). Furthermore, trust in the institution has a direct positive and significant effect on policy acceptance (β = 0.534; T = 10.133; p < 0.001). In contrast, privacy concern does not significantly affect policy acceptance (β = −0.032; T = 0.590; p = 0.555). The structural model explains 28.6% of the variance in policy acceptance (R² = 0.286). These findings suggest that strengthening institutional trust in repository governance is more critical for policy acceptance than reducing students’ Privacy Concerns. Therefore, higher education institutions are encouraged to enhance transparency and data governance practices to maintain trust and mitigate privacy risks. Keywords: institutional repository; mandatory thesis upload; Policy Acceptance; privacy concern; trust A B S T R A K Repositori institusi berbasis open access berkontribusi terhadap diseminasi pengetahuan di perguruan tinggi, tetapi kebijakan wajib unggah skripsi berpotensi memunculkan kekhawatiran mahasiswa terkait privasi data pribadi. Penelitian ini menganalisis faktor-faktor yang memengaruhi penerimaan mahasiswa terhadap kebijakan wajib unggah skripsi menggunakan kerangka Antecedents–Privacy Concerns–Outcomes (APCO). Penelitian menggunakan pendekatan kuantitatif eksplanatori melalui survei daring terhadap 364 mahasiswa lulusan baru Universitas Prof. K.H. Saifuddin Zuhri yang dipilih dengan teknik purposive sampling. Data dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan SmartPLS 4. Hasil penelitian menunjukkan bahwa indikator proksi privacy awareness berpengaruh positif dan signifikan terhadap privacy concern (β = 0,484; T = 9,910; p < 0,001). Selanjutnya, trust in institution berpengaruh positif dan signifikan secara langsung terhadap policy acceptance (β = 0,534; T = 10,133; p < 0,001). Sebaliknya, privacy concern tidak berpengaruh signifikan terhadap policy acceptance (β = −0,032; T = 0,590; p = 0,555). Model struktural mampu menjelaskan varians policy acceptance sebesar 28,6% (R² = 0,286). Temuan ini menegaskan bahwa penguatan kepercayaan terhadap tata kelola repositori institusi lebih krusial dalam mendorong penerimaan kebijakan dibandingkan upaya menurunkan kekhawatiran privasi mahasiswa. Oleh karena itu, perguruan tinggi perlu meningkatkan transparansi kebijakan dan tata kelola data untuk menjaga kepercayaan sekaligus meminimalkan risiko privasi. Kata Kunci: kebijakan wajib unggah skripsi, penerimaan kebijakan, kekhawatiran privasi, repositori institusi, trust
The information culture in developing self-resilience among visually impaired adolescents at model special schools Fuad Gani; Laksmi Laksmi; Ike Iswary Lawanda; Wiwit Ratnasari; Tamara Adriani Salim; Margareta Aulia Rachman; Yeni Budi Rachman; Kiki Fauziah
Berkala Ilmu Perpustakaan dan Informasi Vol 22 No 2 (2026): December (In Press)
Publisher : Library and Archive, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bip.v22i2.26920

Abstract

Introduction. This study aims to explore information culture among visually impaired adolescents at SLB-A and investigate how they engage with information to foster self-resilience. Research Methods. The research method used was qualitative, with a cultural studies approach. Data was collected through interviews, observation, and document analysis from August-September 2025. Informants consisted of 15 students and three teachers. Data analysis. The data obtained were analyzed, which started with open coding by organizing fieldnotes; axial coding synthesized the data by identifying relationships between codes. Selective coding derived meaning within the context of information culture. Results. The process of constructing an information culture among visually impaired adolescents is built around a series of rituals and customs within a small world, with identities, values, and norms inherited from their environment. Habits of managing information are supported by assistive technology, bringing them from that small world to the outside world. Conclusion. The information culture constructed among visually impaired adolescents at SLB-A within the small world was conducted through habits or rituals implemented by teachers and parents, in the context of lower-middle-class families. Their information reception is influenced by stigma and pressure of non-inclusive infrastructure and marginalization, preventing the formation of a new awareness of identity, self-meaning, and resilience.
Co-Authors Annisa Rizky Ari Nugraha Aviazka Firdhaussi Ayuk Kusum Ningrum Boby Prabowo Gani, Fuad Hanif Inamullah Ike Iswary Lawanda Intan Azizah Khairun Nisa Meiah Ngafidin Kiki Fauziah Kiki Fauziah, Kiki Laksmi, Laksmi Rachman, Margareta Aulia Rachman, Yeni Budi Rona Nisa Sofia Amriza Sadewa Ersa Pamungkas Salim, Tamara Adriani