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All Journal Smart Techno (Smart Technology, Informatic and Technopreneurship) Jurnal Pengabdian Indonesia
Putri, Fiddar Tahwifa
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Humanities Computer Science & IT Education Social Sciences

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Peran Sosialisasi serta Revitalisasi Pojok Literasi dalam Meningkatkan Minat Baca Siswa SDN Kaliboto Lor 04 Ishaq , Hasbi Maulana; Sejati, Lintang Wahyu; Firmansyah , Moh Adi; Azza Ikfani, Firsa Zerlinda; Wicaksana, Aditya Wira; Putri, Fiddar Tahwifa; Reykasari, Yunita
Jurnal Pengabdian Indonesia Vol. 2 No. 1 (2024): Desember
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jpi.v2i1.3643

Abstract

Artikel ini membahas program sosialisasi dan revitalisasi pojok literasi yang dilaksanakan oleh mahasiswa KKN-T 25 Universitas Muhammadiyah Jember di SDN Kaliboto Lor 04. Program ini bertujuan untuk meningkatkan minat baca siswa, khususnya di kalangan siswa kelas 6, dengan menekankan pentingnya literasi dan memperbaiki fasilitas pojok literasi di sekolah. Mengingat rendahnya minat baca di Indonesia, di mana hanya satu dari seribu penduduk yang memiliki minat baca serius, program ini melibatkan tiga tahap utama: observasi kondisi pojok literasi, penyuluhan tentang pentingnya literasi, dan revitalisasi pojok literasi dengan penambahan koleksi buku serta perbaikan ruang baca agar lebih menarik. Kegiatan sosialisasi literasi melibatkan 58 siswa yang dibagi menjadi empat kelompok untuk membaca dan mendiskusikan buku, dengan fokus pada kebiasaan membaca dan komunikasi hasil bacaan. Selain itu, pembuatan pojok baca yang menarik di kelas menggunakan bahan-bahan daur ulang juga dilakukan. Hasil dari program ini diharapkan dapat meningkatkan budaya literasi di kalangan siswa dan memberikan dampak positif jangka panjang terhadap pendidikan di Indonesia.
Implementation of Latent Dirichlet Allocation in a Cookie-Based Final Project Topic Recommendation System Putri, Fiddar Tahwifa; Yanuarti, Rosita; Warisaji, Taufiq Timur
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

The selection of a final project topic is a crucial stage in the academic journey of students, as it determines the direction of research while serving as a means to apply the knowledge acquired during their studies. However, in practice, many students experience difficulties in choosing a topic that aligns with their interests and areas of expertise. This challenge is largely attributed to the absence of systems capable of providing personalized recommendations. To address this issue, this study develops a final project topic recommendation system by integrating the Latent Dirichlet Allocation (LDA) algorithm with a cookie-based approach to accommodate user preferences. The dataset used consists of 200 final project documents from the Informatics Engineering program, with titles and abstracts serving as the primary features for topic modeling during model training and perplexity evaluation. In addition, users’ search histories and relevance feedback stored in cookie sessions are utilized as personalization features to generate more tailored recommendations. FastText is employed to produce more contextual word vector representations, while cosine similarity is applied to measure the closeness between search keywords and final project topic documents. Evaluation results based on perplexity indicate that the model with 22 topics yields the most statistically optimal performance. Furthermore, testing using Click-Through Rate (CTR) demonstrates that the combination of topic modeling and user preference personalization produces the highest relevance, achieving a CTR of 15.6%, which is significantly higher than the baseline CTR of 2.2%. These findings confirm that the proposed system is capable of delivering more relevant, adaptive, and user-oriented final project topic recommendations.
Co-Authors Azza Ikfani, Firsa Zerlinda Firmansyah , Moh Adi Ishaq , Hasbi Maulana Reykasari, Yunita Sejati, Lintang Wahyu Warisaji, Taufiq Timur Wicaksana, Aditya Wira Yanuarti, Rosita