TY - GEN
T1 - Combining entropy and importance performance analysis (IPA) method for improving information quality on government’s social media
T2 - 10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
AU - Tju, Hendry
AU - Setyaningrum, Ima Zanu
AU - Putri, Arifianita Febrina
AU - Nasution, Faizal
AU - Hidayanto, Achmad Nizar
AU - Ayuning Budi, Nur Fitriah
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In the implementation of Indonesia’s eGovernment, the presence of social media helps the government provide an information channel to the public, with great efficiency and low cost, and it stimulates participation from the public. In using social media as an information channel, the information quality (IQ) becomes one of the key factors affecting the level of user satisfaction. Therefore, in this study, we aim to investigate the core dimensions that affect user satisfaction by using a case study from the Ministry of Finance (Kemenkeu) and introducing the entropy method. Accordingly, an online survey was conducted with 173 participants between the users who followed Kemenkeu’s social media. The results show that completeness, novelty, and popularity are the core dimensions affecting user satisfaction. Then, by looking at the realities and expectations of the users, we made the mapping of the importance performance analysis (IPA) as a suggestion for the development strategy for Kemenkeu’s social media in improving their IQ. We found that the top dimensions for improvement strategy are the amount of appropriate information, ease of processing, and objectivity. This paper provides the groundwork to rank the IQ of social media, with a potential future research area.
AB - In the implementation of Indonesia’s eGovernment, the presence of social media helps the government provide an information channel to the public, with great efficiency and low cost, and it stimulates participation from the public. In using social media as an information channel, the information quality (IQ) becomes one of the key factors affecting the level of user satisfaction. Therefore, in this study, we aim to investigate the core dimensions that affect user satisfaction by using a case study from the Ministry of Finance (Kemenkeu) and introducing the entropy method. Accordingly, an online survey was conducted with 173 participants between the users who followed Kemenkeu’s social media. The results show that completeness, novelty, and popularity are the core dimensions affecting user satisfaction. Then, by looking at the realities and expectations of the users, we made the mapping of the importance performance analysis (IPA) as a suggestion for the development strategy for Kemenkeu’s social media in improving their IQ. We found that the top dimensions for improvement strategy are the amount of appropriate information, ease of processing, and objectivity. This paper provides the groundwork to rank the IQ of social media, with a potential future research area.
KW - Entropy
KW - Importance Performance Analysis
KW - Ministry of Finance
KW - Social Media
UR - http://www.scopus.com/inward/record.url?scp=85062383675&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2018.8618221
DO - 10.1109/ICACSIS.2018.8618221
M3 - Conference contribution
AN - SCOPUS:85062383675
T3 - 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
SP - 51
EP - 56
BT - 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 October 2018 through 28 October 2018
ER -