Correlation between @Infobdg Twitter Account Information Quality with Information Needs Completion
Abstract
This study discusses the information quality of the @infobdg Twitter account in fulfilling information needs. This study aims to determine whether there is a relationship between the information quality of the @infobdg Twitter account and the fulfillment of followers' information needs in Bandung city. This study adopts the theory of information quality from John Burch and Gary Grudnitski, which consists of 3 pillars: accuracy, timeliness, and relevance. The method used in this study is a quantitative correlational method. The sampling techniques used are simple random sampling techniques. The object of this study is @infobdg Twitter account followers who actively provided comments during the study period from February, 1 2020 – March, 21 2020, and included the residence domicile in Bandung on the user profile. The data collection techniques were derived from the primary data from questionnaires distributed to 82 respondents, and secondary data is literature studies. The analytical methods used are descriptive analysis and inferential analysis. The result of this insulation shows the significant relationship between the information quality of the @infobdg Twitter account, namely accuracy, timeliness, and relevance, by meeting the information needs of followers in Bandung city.
Keywords
Full Text:
PDFReferences
Abasi, N., Azad, N., & Hafashjani, K. (2015). Information systems success: the quest for the dependent variable. Uncertain Supply Chain Management, 3(2), 181-188. https://doi.org/10.1287/isre.3.1.60
Alakrash, H. M., & Abdul Razak, N. (2021). Technology-based language learning: Investigation of digital technology and digital literacy. Sustainability, 13(21), 12304. https://doi.org/10.3390/su132112304
APJII. (2019, May 1). Asosiasi penyelenggara jasa internet Indonesia. https://apjii.or.id
Apriliani, N. N. (2015). Pengaruh penggunaan media twitter @infobdg terhadap pengurangan ketidakpastian informasi. Jurnal Sosioteknologi, 14(2), 160-169. https://doi.org/10.5614/sostek.itbj.2015.14.2.6
Azmi, N. A., Fathani, A. T., Sadayi, D. P., Fitriani, I., & Adiyaksa, M. R. (2021). Social media network analysis (SNA): Identifikasi komunikasi dan penyebaran informasi melalui media sosial twitter. Jurnal Media Informatika Budidarma, 5(4), 1422-1430. https://doi.org/10.30865/mib.v5i4.3257
Brooks, S. (2015). Does personal social media usage affect efficiency and well-being?. Computers in human behavior, 46 (2015), 26-37. https://doi.org/10.1016/j.chb.2014.12.053
Dewi, Y. P., Abidin, Y., & Kurniawan, K. (2021). Penggunaan twitter terhadap pembelajaran bahasa Indonesia. In Seminar Internasional Riksa Bahasa (pp. 307-312).
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
Dijck, J. V. (2011). Tracing twitter: The rise of a microblogging platform. International Journal of Media & Cultural Politics, 7(3), 333-348. https://doi.org/10.1386/macp.7.3.333_1
Eshet, Y. (2002). Digital literacy: A new terminology framework and its application to the design of meaningful technology-based learning environments (pp. 493-498). Association for the Advancement of Computing in Education (AACE).
Garcia, K., & Berton, L. (2021). Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA. Applied soft computing, 101 (2021), 1-15. https://doi.org/10.1016/j.asoc.2020.107057
Holm, H., Sommestad, T., & Bengtsson, J. (2015, August). Requirements engineering: The quest for the dependent variable. In 2015 IEEE 23rd International Requirements Engineering Conference (RE) (pp. 16-25). IEEE.
Inayah, D., & Purba, F. L. (2020). Implementasi social network analysis dalam penyebaran informasi virus corona (covid-19) di twitter. In Seminar Nasional Official Statistics (Vol. 2020, No. 1, pp. 292-299).
Kargar, M., An, A., & Zihayat, M. (2012). Efficient bi-objective team formation in social networks. In Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II 23 (pp. 483-498). Springer Berlin Heidelberg.
Kirtiş, A. K., & Karahan, F. (2011). To be or not to be in social media arena as the most cost-efficient marketing strategy after the global recession. Procedia-Social and Behavioral Sciences, 24, 260-268. https://doi.org/10.1016/j.sbspro.2011.09.083
Kumar, N., Kumar, A., Mahto, S. K., Kandpal, M., Deshpande, S. N., & Tanwar, P. (2019). Prevalence of excessive internet use and its correlation with associated psychopathology in 11th and 12th grade students. General psychiatry, 32(2). https://doi.org/10.1136/gpsych-2018-100001
Meng, X. (2013, May). Scalable simple random sampling and stratified sampling. In International Conference on Machine Learning (pp. 531-539). PMLR.
Mondry. (2008). Pemahaman teori dan praktik jurnalistik. Bogor: Ghalia Indonesia.
Rakhmat, J. (2012). Metode penelitian komunikasi dilengkapi contoh analisis statistik. Bandung: Remaja Rosdakarya.
Olken, F., & Rotem, D. (1986). Simple random sampling from relational databases. California: University of California
Ramadani, R., & Hilmiyah, M. (2019). Pembentukan citra politik di media sosial twitter. KOMUNIDA: Media Komunikasi dan Dakwah, 9(2), 254-268. https://doi.org/10.35905/komunida.v9i2.1126
Rogova, G. L., & Bosse, E. (2010, July). Information quality in information fusion. In 2010 13th International Conference on Information Fusion (pp. 1-8). IEEE.
Solihin, F., Awaliyah, S., & Shofa, A. M. A. (2021). Pemanfaatan twitter sebagai media penyebaran informasi oleh Dinas Komunikasi dan Informatika. Journal Pendidikan Ilmu Pengetahuan Sosial, 13(1), 52-58.
Sugiyono, D. (2009). Memahami penelitian kualitatif. Bandung: Alqaprinta.
Tang, Y., & Hew, K. F. (2017). Using twitter for education: Beneficial or simply a waste of time?. Computers & education, 106, 97-118. htpps://doi.org/10.1016/j.compedu.2016.12.004
Trisanda Putra, I. (2013). Manfaat akun twitter @infobdg dalam pemenuhan kebutuhan informasi bagi para followersnya di Kota Bandung (Doctoral dissertation, Universitas Komputer Indonesia).
We Are Social & Hootsuite. (2020, February 20). We are social & hootsuite. https://wearesocial.com
Yusup, P. M., & Subekti, P. (2010). Teori & praktik penelusuran informasi (infromasi retrieval). Jakarta: Kencana Prenada Media Group
Zhang, H., & Deng, Y. (2018). Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory. Advances in Mechanical Engineering, 10(11), 1-10. https://doi.org/10.1177/1687814018809184
Zhuravskaya, E., Petrova, M., & Enikolopov, R. (2020). Political effects of the internet and social media. Annual review of economics, 12(2020), 415-438. https://doi.org/10.1146/annurev-economics-081919-050239
DOI: https://doi.org/10.17509/edulib.v12i1.43273
DOI (PDF): https://doi.org/10.17509/edulib.v12i1.43273.g27433
Refbacks
Copyright (c) 2022 Edulib
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.