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All Journal Jurnal Ilmu Informasi Perpustakaan dan Kearsipan Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Jurnal Berkala Ilmu Perpustakaan dan Informasi Info Bibliotheca: Jurnal perpustakaan dan ilmu Informasi JESS (Journal of Education on Social Science) Tik Ilmeu : Jurnal Ilmu Perpustakaan dan Informasi JPUA: Jurnal Perpustakaan Universitas Airlangga: Media Informasi dan Komunikasi Kepustakawanan Media Informasi Priviet Social Sciences Journal Jurnal Perpustakaan dan Informasi (JAPRI) Triwikrama: Jurnal Ilmu Sosial Librarium: Library and information science journal HUMAN: Journal of Social Humanities and Science Jurnal ISO: Jurnal Ilmu Sosial, Politik dan Humaniora Jurnal Pengabdian IPTEK
Aliwijaya, Araf
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Religion Humanities Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Tren Penelitian Tantangan Profesi Jurnalis di Artificial Intelligence: Analisis Bibliometrik Artikel Terindeks Scopus Tahun 2020–2025 Taufik Hasyim; Muhamad Anggi Pratama; Anggi Saputra; Adzkiyah Mubarokah; Ari Suryadi; Araf Aliwijaya
Jurnal ISO: Jurnal Ilmu Sosial, Politik dan Humaniora Vol. 6 No. 1 (2026): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/iso.v6i1.3202

Abstract

Penelitian ini bertujuan untuk memetakan tren penelitial global mengenai tantangan profesi jurnalis di era AI. Penelitian ini menggunakan metode analisis bibliometrik. Data penelitian diambil dari publikasi artikel internasional terindeks Scopus pada periode tahun 2020–2025. Data dikumpulkan menggunakan kueri pencarian bertema “journalism,” “challenges,” dan “artificial intelligence,” dan disesuaikan untuk pencarian title-keyword-abstract. Kemudian, data hasil pencarian dianalisis menggunakan perangkat lunak VOSviewer. Dari 434 dokumen yang memenuhi kriteria, ditemukan peningkatan publikasi signifikan setiap tahun. Negara publikasi yang paling produktif adalah Amerika Serikat, India dan Spanyol. Terjadi peningkatan jumlah publikasi yang tinggi pada tahun 2024 (131 dari 60). Hasil analisis dan pemetaan kata kunci menunjukkan beberapa temuan utama terkait permasalahan tantangan profesi jurnalis di era AI yaitu: (1) Tantangan akurasi informasi, (2) Tantangan isu fakenews dan misinformasi, (3) Permasalahan dilema redaksi terkait regulasi penggunaan AI, dan (4) Permasalahan etika penggunaan AI pada produksi berita. Permasalahan ini menjadi dasar bagi profesi jurnalis untuk beradaptasi di era AI. Temuan ini menegaskan pentingnya etika, kolaborasi antara manusia dan teknologi, serta perlunya regulasi etis untuk menjaga integritas jurnalistik di tengah era otomatisasi. Untuk implikasi kebijakan maka pemerintah, Dewan Pers atau asosiasi selaku pembuat kebijakan perlu menyiapkan pedoman nasional agar penggunaan AI dalam jurnalisme tetap etis dan bertanggung jawab.
Peluang Pemanfaatan Big Data di Perpustakaan: Sebuah Kajian Literatur Aliwijaya, Araf
Media Informasi Vol 32 No 2 (2023): Media Informasi
Publisher : Perpustakaan Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mi.v32i2.6388

Abstract

The accumulation of information created and stored in organizations, including libraries, has led to the emergence of amounts of data known as big data. This research aims to describe opportunities for using big data in libraries. The method used in this research uses a qualitative approach with a literature review method. Data sources were obtained from various literature such as books, scientific articles, websites and others. The big data phenomenon has an influence on libraries in utilizing technology. Data created in libraries should be used to support library policies using data science concepts. Data science is the science used to manage data so that it is useful for libraries. Opportunities for using big data in libraries include collection recommendations, book layout based on user behavior, analysis of knowledge trends, helping with collection development policies, automatic classification and helping with library promotion. The application of big data in libraries can improve the quality of policy making, restructure library services and publications.
Menghidupkan Ekosistem Penelitian: Strategi Promosi Layanan Pendukung Penelitian di Perpustakaan Universitas Sumatera Utara Ade Yohana Lumbantoruan; Fransiska Timoria Samosir; Araf Aliwijaya
Journal of Education on Social Science (JESS) Vol 10 No 2 (2026): Public Participation in Public Service
Publisher : Faculty of Social Science, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jess.v10i2.675

Abstract

The promotion of research support services at the University of North Sumatra (USU) Library has not been carried out evenly across all types of services, resulting in some services being less well known and not utilized optimally by library users. This study aims to analyze the promotion strategy for research support services at the University of North Sumatra (USU) Library based on the promotion mix framework. The research method used was descriptive qualitative through observation, document study, and interviews. Interviews were conducted with 11 informants who were selected purposively from among the leaders and service staff. The data were analyzed through the stages of reduction, presentation, and conclusion drawing. The research was mapped using the promotion mix framework. Research support services at the USU Library include subscriptions to international journal databases and various e-books, literature search ordering and assistance services, information literacy classes, article publication training, author profile development training, content similarity checking services (Turnitin), and institutional repositories. The promotion of research support services is carried out conventionally and digitally. The promotional tools used are banners, bulletin boards, socialization, websites, and social media (Instagram, Facebook, YouTube, TikTok). However, there are limitations in the form of uneven promotion between services and the fact that not all stages of the research support service cycle have been implemented. This study recommends improving the promotion strategy through personal selling and direct marketing.
Perbandingan Kecepatan Penyebaran Berita Kecelakaan antara Citizen Journalism Bengkulu Info dan Jurnalis Profesional Bengkulu Ekspress di Media Sosial Instagram Yogi Pratama; Araf Aliwijaya
HUMAN: Journal of Social Humanities and Science Vol. 3 No. 2 (2026): HUMAN: Journal of Social Humanities and Science, January 2026
Publisher : ASIAN PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58738/human.v3i2.1481

Abstract

Penelitian ini bertujuan untuk membandingkan kecepatan penyebaran berita kecelakaan antara Citizen Journalism Bengkulu Info dan jurnalis profesional Bengkulu Ekspress di platform media sosial Instagram. Pesatnya perkembangan teknologi informasi telah menghadirkan fenomena citizen journalism yang kerap lebih cepat dalam mendistribusikan informasi dibandingkan media profesional. Di Bengkulu, persaingan kecepatan informasi antara Bengkulu Info (akun Citizen Journalism) dan Bengkulu Ekspress (media profesional) di Instagram menjadi perhatian peneliti. Penelitian menggunakan pendekatan kuantitatif komparatif dengan desain survei. Populasi adalah mahasiswa aktif Prodi Jurnalistik FISIP Universitas Bengkulu tahun akademik 2025/2026 yang menggunakan Instagram. Teknik pengumpulan data menggunakan angket skala Likert 5 poin dengan 30 item pernyataan tervalidasi. Analisis data meliputi statistik deskriptif, uji normalitas (Kolmogorov-Smirnov), uji homogenitas (Levene's Test), dan uji hipotesis menggunakan Independent Sample T-Test atau Mann-Whitney U. Landasan teoritis mencakup teori gatekeeping, difusi inovasi, dan ambient journalism. Hasil yang diharapkan dapat membuktikan secara empiris ada tidaknya perbedaan signifikan kecepatan penyebaran berita antara kedua media tersebut berdasarkan persepsi mahasiswa.
JAPRI STUDI BIBLIOMETRIK PENELITIAN ARTIFICIAL INTELLIGENCE DI PERPUSTAKAAN PERGURUAN TINGGI: DATA SCOPUS TAHUN 2020–2025: BIBLIOMETRIC STUDY OF ARTIFICIAL INTELLIGENCE RESEARCH IN ACADEMIC LIBRARIES: SCOPUS DATA 2020–2025 Araf Aliwijaya; Indah Media Yulyanti; Yonna Apgeta; Nurul Syafitri
Jurnal Perpustakaan dan Informasi Vol. 8 No. 1 (2026): JAPRI: JURNAL PERPUSTAKAAN DAN INFORMASI
Publisher : UPT Perpustakaan Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the development of research on artificial intelligence (AI) in academic libraries using a bibliometric approach. Bibliographic data were collected from the Scopus database covering publications from 2020 to 2025. The analysis focused on publication trends, productive authors, leading publishers, and keyword co-occurrence to identify major research themes. The results indicate a significant increase in publications, particularly after 2023, highlighting the growing interest in AI applications such as machine learning, digital libraries, recommender systems, and information retrieval. The findings show that AI has become an essential component in enhancing library services, improving access to information, and supporting academic users. This study provides insights into research patterns and offers references for academic libraries in developing innovative AI-based services.
Analisis Ketersediaan Koleksi Buku Perpustakaan Menggunakan Bibliometrik Nicky Yasmidar; Araf Aliwijaya
Tik Ilmeu : Jurnal Ilmu Perpustakaan dan Informasi Vol. 9 No. 1 (2025): Tik Ilmeu: Jurnal Ilmu Perpustakaan dan Informasi (Juni)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/tik.v9i1.8508

Abstract

Books are one of the main collections served by libraries. There are books that are often used as reference material, but there are also books that are used sparingly. On the other hand, there are books that are used as references by users that have not been provided by the library. This research aims to see the availability of book collections based on the number of student thesis citations. This research uses a quantitative approach with bibliometric methods. The main data for this research are citations from student theses from the Universitas Medan Area communication science study program for 2020-2022. The data collected is in the form of a list of citations contained in the thesis. Search, collection and filtering of thesis citation data was carried out. After filtering, the data was tabulated using Ms. Excel will then be compared with the availability of the UMA Library collection via the library's OPAC. The number of book citations contained in communication science students' theses for 2020-2022 in the UMA repository has reached 1,928. Measurements were carried out to evaluate the availability of book collections in the library and provide 44 recommendations for book procurement as improvement steps. Bibliometrics can be used as a tool to measure the usefulness of collections and provide recommendations for the procurement of library collections. However, research involving more research report and study program is expected to produce more comprehensive recommendations.
Enhancing Digital Literacy Among Rural Women to Detect AI-Generated Hoax Videos on Social Media Araf Aliwijaya; Khalishah Allya Rahmadhina; Ahmad Adriel; M Fabil Rayhan; Mawarilli Juhia; Neti Marlina; Yoselina Nur; Daffa Alfatezha; Puspita Septian Rahmawati
Jurnal Pengabdian IPTEK Vol. 1 No. 3 (2026): August 2026
Publisher : Sah Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Advances in artificial intelligence (AI) technology, particularly deepfake technology, have increased the risk of hoaxes and disinformation spreading on social media, making it necessary to improve the public’s digital literacy. This community service project aims to enhance the ability of homemakers to detect AI-generated hoax videos in Sidodadi Village, Bengkulu Tengah Regency. The activity was conducted using the Participatory Action Research (PAR) approach, which includes the stages of To Know, To Understand, To Plan, To Act, and To Change. The target participants were 20 housewives who are active social media users. The program began with observations and Focus Group Discussions (FGDs) to identify digital literacy issues, followed by the development of training materials, interactive training sessions, hands-on practice in identifying AI-generated (deepfake) videos, and an evaluation using pre-test and post-test methods. The results showed that the training successfully improved participants’ skills across all digital literacy indicators. Before the training, participants’ average proficiency scores ranged from 3.2 to 3.7 (moderate category), while after the training, they increased to 4.4–4.6 (high category). The greatest improvements were observed in the ability to recognize the characteristics of AI-generated videos, distinguish between authentic and manipulated videos, verify information sources, and exercise greater caution before sharing content on social media. In addition to enhancing knowledge, this activity also fostered participants’ critical thinking when evaluating digital information. This community service program demonstrates that needs-based digital literacy training effectively strengthens community resilience against the spread of AI-based hoaxes and encourages homemakers to become agents of digital literacy within their families and communities.
Sense of Place among Students in a Multi-Functional Library Building Setting: A Study at UIN Mahmud Yunus Batusangkar Nurrahma Yanti; Haerul Hamka; Araf Aliwijaya; Muhammad Fadhli
Librarium: Library and Information Science Journal Vol. 3 No. 2 (2026): Librarium: Library and Information Science Journal
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/librarium.v3i2.3649

Abstract

This study analyzes students' sense of place toward the library of UIN Mahmud Yunus Batusangkar, which occupies the second and third floors of the Integrated Lecture Building (Gedung Kuliah Terpadu) on Campus II — a building that also serves as classrooms, the LPPM office, a communication center, an auditorium, and a podcast room. Using a qualitative descriptive approach, data were collected through field observation and in-depth interviews with active library users selected through purposive sampling. Findings show that students build sense of place through three main dimensions: physical-spatial, functional, and social. Contrary to initial assumptions, the multi-function building context does not weaken the library's sense of place; rather, it actively strengthens users' attachment through a contrast effect between the library's quietness and the surrounding rooms' liveliness. The third-floor thesis collection introduces a distinctive temporal dimension, forming a layer of attachment that extends beyond mere physical experience. This study contributes to the theoretical understanding of the library as a place within an integrated academic building setting.
Co-Authors Ade Yohana Lumbantoruan Adzkiyah Mubarokah Adzkiyah Mubarokah Ahmad Adriel Anggi Saputra Anggi Saputra anggi saputra Ari Suryadi Ari Suryadi Daffa Alfatezha Desy Natalia Anggorowati, Desy Natalia Fransiska Timoria Samosir Fransiska Timoria Samosir, Fransiska Timoria Haerul Hamka Hanny Chairany Suyono Indah Media Yulyanti Khalishah Allya Rahmadhina Lumbantobing, Sarmianta M Fabil Rayhan Mawarilli Juhia Mubarokah, Adzkiyah Muhamad Anggi Pratama Muhammad Fadhli Neti Marlina Nicky Yasmidar Nicky Yasmidar Nurrahma Yanti Nurrahma Yanti Nurul Syafitri Puspita Septian Rahmawati Safirotu Khoir, Safirotu Siregar, Yoan Berliana Suryadi, Ari Suyono, Hanny Chairany Syahfitri, Dwi Retno Taufik Hasyim Yanti, Nurrahma Yasmidar, Nicky Yoan Berliana Siregar Yogi Pratama Yonna Apgeta Yoselina Nur Zuraida, Shinta Sisca