Open access Journal SINTA 1
The Hadith Digitization in Millennial Era: A Study at Center for Hadith Studies, Indonesia
QIJIS (Qudus International Journal Of Islamic Studies) · Vol. 7 No. 1 (2019) · pp. 25–44
- ISSN
- 2476-9304, 2355-1895
- Published
- 2019-06-03
- Publisher
- IAIN Kudus
- Language
- eng
Abstract
The millennial era has been initially marked by the development of information technology. This article mainly explores the opportunities and challenges of digitizing hadith in the millennial era. This study belongs to a descriptive qualitative method. In-depth interviews with the Programmers of the Center for the study of Hadith in Jakarta, observation and documentation were conducted to gather data. The result reveals that digitizing the books of hadith provides an opportunity for everyone to access the books of hadith by downloading the hadith digitization application freely. Therefore, people can access the hadith books in both PDF and digital formats. On the contrary, it may lead to academic anxiety or challenges. This is because the hadith books in both PDF and digital formats can be deliberately changed by irresponsible people so that the authenticity of the information and the accuracy of the data will be questionable. Further, this tendency could be misused by certain people, by changing its contents and then disseminating it for the certain purposes. Regarding this, one of the ways to overcome this is by maintaining its authenticity, updating the content, and adding the copyright to the data source reference using the source check method.
Keywords
Collaboration network of the authors
40 authors · 75 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Universitas Halu Oleo
- Universitas Gadjah Mada
- Padjadjaran University
- Sultan Agung Islamic University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Mahfut Mahfut | Affiliation unknown | 3 |
| Mohammad Hoesain | Affiliation unknown | 2 |
| Fariz Kustiawan Alfarisy | Affiliation unknown | 2 |
| Ankardiansyah Pandu Pradana | Affiliation unknown | 2 |
| Asrul Sani | Universitas Halu Oleo | 1 |
| Muhammad Sudia | Affiliation unknown | 1 |
| Ahmad Sofwan | Affiliation unknown | 1 |
| Eka Haryani | Affiliation unknown | 1 |
| Ihsan Nuril Hikam | Affiliation unknown | 1 |
| Asep Sutarman | Affiliation unknown | 1 |
| Zaharuddin Zaharuddin | Affiliation unknown | 1 |
| Joko Widodo | Affiliation unknown | 1 |
| Eko Prasetya | Affiliation unknown | 1 |
| Sudarmin Sudarmin | Affiliation unknown | 1 |
| Sri Wardani | Affiliation unknown | 1 |
| Ani Rusilowati | State University of Semarang | 1 |
| Nathan Hindarto | State University of Semarang | 1 |
| Mila Citrawati | Affiliation unknown | 1 |
| Agneta Irmarahayu Irawan | Affiliation unknown | 1 |
| Hikmah Muktamiroh | Affiliation unknown | 1 |
| Tiwuk Susantiningsih | Affiliation unknown | 1 |
| Devian Ayu Putri Efendi | Affiliation unknown | 1 |
| Maulida Ayu Fitriani | Universitas Gadjah Mada | 1 |
| Lailiyatun Nafisah | Affiliation unknown | 1 |
| Tatang Hidayat | Affiliation unknown | 1 |
| Gian Resa Priyadi | Affiliation unknown | 1 |
| Nurlita Endah Karunia | Affiliation unknown | 1 |
| Salsabilah Salsabilah | Affiliation unknown | 1 |
| Iwan Setiawan | Padjadjaran University | 1 |
| Jumanah Jumanah | Affiliation unknown | 1 |
| Julizar Idris | Affiliation unknown | 1 |
| Anita Tina | Affiliation unknown | 1 |
| Ficka Yulia Badariyah | Affiliation unknown | 1 |
| Maria Paristiowati | Affiliation unknown | 1 |
| Dian Ilmiyati | Affiliation unknown | 1 |
| Elsyafahriza Risky | Affiliation unknown | 1 |
| Uwes Anis Chaeruman | Affiliation unknown | 1 |
| Muhamad Afandi | Sultan Agung Islamic University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.