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All Journal Lentera Pustaka LibTech : Library and Information Science Journal
Permata, Alvin Tessar
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Education Library & Information Science

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Evaluasi Program ‘Pustakawan Terpelajar’ dengan Model Stake di MAN 1 Bandung Permata, Alvin Tessar; Hadiapurwa, Angga; Wulandari, Yayu
LIBTECH: LIBRARY AND INFORMATION SCIENCE JOURNAL Vol 6, No 1 (2025): LIBTECH : LIBRARY AND INFORMATION SCIENCE JOURNAL
Publisher : UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/libtech.v6i1.33110

Abstract

Penelitian ini mengevaluasi efektivitas program “Pustakawan Terpelajar” di MAN 1 Bandung menggunakan Model Evaluasi Ekspresi Wajah Stake. Program ini bertujuan untuk meningkatkan keterampilan literasi siswa dan kemampuan manajemen perpustakaan dengan melibatkan mereka dalam pengorganisasian sumber daya perpustakaan dan memimpin kegiatan literasi. Proses evaluasi dibagi menjadi tiga fase: antecedents (persiapan), transactions (pelaksanaan), dan outcomes (hasil). Pengumpulan data meliputi observasi, wawancara dengan pemangku kepentingan utama, dan tinjauan dokumen, dengan fokus pada partisipan siswa yang aktif. Temuan menunjukkan bahwa program ini secara signifikan meningkatkan literasi, kepemimpinan, dan keterampilan organisasi siswa. Partisipasi aktif dalam sesi literasi mingguan dan tur perpustakaan meningkatkan keterlibatan siswa dalam pengelolaan perpustakaan dan aktivitas membaca. Namun, penelitian ini mengidentifikasi tantangan seperti keterbatasan sumber daya manusia dan infrastruktur, yang mempengaruhi keberlanjutan program. Kesimpulannya, program ini berhasil mencapai tujuannya, dengan rekomendasi untuk meningkatkan alokasi sumber daya, meningkatkan keterlibatan guru, dan memperbaiki infrastruktur perpustakaan guna memastikan keberhasilan dan perluasan program di masa depan.
The Effect of Information Quality of the Instagram Account @bemhimaperpusinfo on the Fulfillment of Information Needs of its Followers Permata, Alvin Tessar; Ummatin, Kuntum Khaira; Rullyana, Gema; Oktaviani, Fikri Dwi
Lentera Pustaka: Jurnal Kajian Ilmu Perpustakaan, Informasi dan Kearsipan Vol 11, No 1 (2025): June
Publisher : Library and Information Science Study Program, Faculty of Humanities, Univ. Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/lenpust.v11i1.72859

Abstract

Background: Recent studies on social media use in academic settings underline its increasing importance in fulfilling students' information needs.  Still, few studies concentrate on student-run Instagram profiles and how well they meet these requirements.Objective: Particularly in the context of 4C Chris Heuer and Guha's four approaches, this paper sought to examine how the information material given by the Instagram account @bemhimaperpusinfo fulfills the information demands of its followers.Methods: Using a survey design, a quantitative method was applied.  Using many linear models via SPSS 27, data was gathered from 100 followers of the @bemhimaperpusinfo account and evaluated.  Tests of validity, reliability, normality, multicollinearity, and heteroskedasticity were run before the regression analysis to guarantee data quality.Results: According to the study, all four aspects of the 4C Social Media model Context, Communication, Collaboration, and Connection had a notable beneficial impact on followers' information demand fulfillment.  With Communication (β = .380) and Connection (β = .295) rising as the best predictors, the regression model accounted for 72.0% of the variation (R²= .720).  Every 4C variable showed notable correlations with various facets of Guha's information requirements Current, Every day, Exhaustive, and Catching-up.Conclusion: These findings suggest that material created and disseminated by student-led Instagram accounts can significantly help to meet academic and organizational information needs.  Different institutional and peer-managed settings should be investigated in further studies using longitudinal or mixed-method designs to more thoroughly investigate long-term impacts and user experiences.
Co-Authors Angga Hadiapurwa Oktaviani, Fikri Dwi Rullyana, Gema Ummatin, Kuntum Khaira Wulandari, Yayu