autobase@collegemenfess, A Twitter Account Used as Information Retrieval Tool

  • Nanda Khaerunnisa Syafitri Universitas Pendidikan Indonesia
    (ID)
  • Gema Rullyana Universitas Pendidikan Indonesia
    (ID)
  • Ardiansah Ardiansah Universitas Pendidikan Indonesia
    (ID)

Abstract

The development of technology and information has led to the emergence of many media that can be used as information sources, including social media. Twitter has started an automatic base (autobase) system with has automenfess feature. This study aims to see the level of users' ability and the use of autobase as an information retrieval system. Respondents were users or followers of the @collegemenfess Twitter account. This study used a quantitative approach with descriptive analysis. The data were obtained through an online survey of 70 followers of the @collegemenfess account. The study found that users' ability level was in the intermediate user category and the use of information retrieval system on this autobase was to send messages with a certain format which then that message will be a confession mention.

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References

Agoestin, M. A. (2019) Motif followers dalam mengakses@ collegemenfess di media sosial Twitter. Universitas Katolik Widya Mandala Surabaya.

Ajjronisa, S. (2016) ‘Sistem temu balik informasi menggunakan google scholar’.

Anggreini, N. M., Nasir, B. M. S. and Noor, I. L. S. S. M. (2016) ‘Pemanfaatan Media Sosial Twitter di Kalangan Pelajar SMK Negeri 5 Samarinda’, eJournal Sosiatri-Sosiologi, 4(2), pp. 239–251.

Clement, J. (2019) Twitter : number of monthly active users 2010-2019, statista. Available at: https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/.

Clinten, B. and Nistanto, R. K. (2019) Pengguna Aktif Harian Twitter Indonesia Diklaim Terbanyak, kompas.com. Available at: https://tekno.kompas.com/read/2019/10/30/16062477/pengguna-aktif-harian-twitter-indonesia-diklaim-terbanyak.

Devita Kusumawardani (2013) ‘Temu Kembali Informasi dengan keyword (Studi deskriptif tentang sistem temu kembali informasi dengan controlled vocabulary pada field judul, subyek, dan pengarang di Perpustakaan Universitas Airlangga)’, Journal Universitas Airlangga, Vol.2(1), pp. 1–20.

Emarita, N., Suryana, A. and Aristi, N. (2012) ‘Hubungan antara Pencarian Informasi Melalui Twitter @BdgBerkebun dengan Pemenuhan Kebutuhan Informasi’, Jurnal Mahasiswa Universitas Padjadjaran, 1(1), pp. 1–14. Available at: http://jurnal.unpad.ac.id.

Fatmawati, S. ; and Salmiyah, D. (2017) ‘Motif Interaksi Sosial Role-player Pada Mahasiswa Universitas Telkom Di Social Networking Twitter’, e-Proceeding of Management, 4(3), pp. 3345–3352.

Kurniasih, N. (2014) Jenis-jenis sistem temu kembali informasi, Academia Edu.

Noza, C. and Primayanti, A. (2019) ‘Pemanfaatan Akun Twitter@ Womanfeeds Sebagai Media Informasi Dikalangan Followersnya’, eProceedings of Management, 6(3), pp. 6404–6411.

Nugraha, H. (2020) PERANCANGAN SISTEM INFORMASI PROMOSI MUSEUM BERBASIS WEBSITE : design and development sistem informasi promosi museum di Kota Bandung. Universitas Pendidikan Indonesia.

Riani, N. (2017) ‘Model Perilaku Pencarian Informasi Guna Memenuhi Kebutuhan Informasi (Studi Literatur)’, Publication Library and Information Science, 1(2), pp. 14–20. doi: 10.24269/pls.v1i2.693.

Rosalina, R., Auzar, A. and Hermandra, H. (2020) ‘Penggunaan Bahasa Slang di Media Sosial Twitter’, JURNAL TUAH: Pendidikan dan Pengajaran Bahasa, 2(1), pp. 248–255.

Tawaf and Alimin, K. (2012) ‘Kebutuhan Informasi Manusia: Sebuah Pendekatan Kepustakaan’, Kutubkhanah, 15(1), pp. 50–59. Available at: http://akreditasi.web.id.

Yusup, P. and Subekti, P. (2010) Teori & Praktik Penelusuran Informasi (Information Retrieval). Jakarta: Prenada Media.

Published
2020-12-13
How to Cite
Syafitri, N. K., Rullyana, G., & Ardiansah, A. (2020). autobase@collegemenfess, A Twitter Account Used as Information Retrieval Tool. Khizanah Al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, Dan Kearsipan, 8(2), 161-172. https://doi.org/10.24252/kah.v8i2a6
Section
Articles
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