Corruption Cases Mapping Based on Indonesia's Corruption Perception Index

International Conference on Computing and Applied Informatics 2016

物理学;计算机科学

Noerlina^1 ; Wulandhari, L.A.^2 ; Sasmoko^3,4 ; Muqsith, A.M.^2 ; Alamsyah, M.^2

School of Information System, Bina Nusantara University, Indonesia^1

School of Computer Science, Bina Nusantara University, Indonesia^2

Faculty of Humanities, Bina Nusantara University, Indonesia^3

Research Interest Group in Education Technology, Bina Nusantara University, Indonesia^4

关键词: Bayes Classifier;    Central government;    Corruption perception indices;    Economic growths;    Mapping systems;    News articles;    News media;    Tokenizing;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/801/1/012019/pdf
DOI  :  10.1088/1742-6596/801/1/012019

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Government plays an important role in nation economic growth. Nevertheless, there are still many occurrences of government officers abusing their offices to do an act of corruption. In this order, the central government should pay attention to every area in the nation to avoid corruption case. Meanwhile, the news media always constantly preach about corruption case, this makes the news media relevant for being one of the sources of measurement of corruption perception index (CPI). It is required to map the corruption case in Indonesia so the central government can pay attention to every region in Indonesia. To develop the mapping system, researchers use Naïve Bayes Classifier to classify which news articles talk about corruption and which news articles are not, before implementing a Naïve Bayes Classifier there are some text processing such as tokenizing, stopping, and stemming.