Priority Analysis of Community Complaints through E-Government Based on Social Media
Evaristus Didik Madyatmadja1, Jennifer Olivia2, Rizky Febriyanto Sunaryo3
1Dr. Evaristus Didik Madyatmadja, Associate Professor, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta.
2Jennifer Olivia, Research Assistant, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta.
3Rizky Febriyanto Sunaryo, Section Head, the City of Tangerang Communication and Information Agency, Tangerang City.
Manuscript received on 2 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 3345-3349 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5011098319/2019©BEIESP | DOI: 10.35940/ijrte.C5011.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Now days in this modern era of globalization, the development of information and communication technology has offered solutions to improve public service performance. This also provides new innovations for the government to be able to offer the latest solutions in improving its services. This report discusses research based on Presidential Instruction No. 3 of 2003 concerning national policies and strategies for the development of e-Government, various regions began to develop the application. The case is discussed about the application of e government in Tangerang city. LAKSA is a feature for the people of Tangerang City to convey their aspirations, aim to the government can effectively and efficiently fulfill the needs of the city of Tangerang. With this prosperity, the government response is needed in accordance with the level of urgency of the complaints conveyed by the community. This research will compare the methods that can be used to solve this problem, namely Naive Bayes and decision trees.
Keywords: E-Government, Data Mining, Social Media, Complaints, Naïve Bayes, Decision Tree.
Scope of the Article:E-Government