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All Journal IJIIS: International Journal of Informatics and Information Systems
Taqwa Hariguna
Amikom University Purwokerto, Indonesia
Computer Science & IT

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Community Opinion Sentiment Analysis on Social Media Using Naive Bayes Algorithm Methods Taqwa Hariguna; Vera Rachmawati
International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.11

Abstract

The election of Governor is an election event for the Regional Head for the future of the region and the country. The Central Java Governor election in 2018 was held jointly on 27 June 2018, which was followed by 2 candidate pairs of the governor. Its many responses from people through twitter's social media to bring up opinions from the public. Sentiment analysis of 2 research objects of Central Java Governor 2018 candidates with a total of 400 tweets with each candidate being 200 tweets. The used of tweets are divided into 3 classes: positive class, neutral class and negative class. In this study the classification process used the Naive Bayes Classifier (NBC) method, while for data preprocessing is using Cleansing, Punctuation Removal, Stopword Removal, and Tokenisation, to determine the sentiment class with the Lexicon Based method produces the highest accuracy in the Ganjar Pranowo dataset with an accuracy of 87,9545%, Precision value is 0.891%, Recall value is 0.88% and F-Measure is 0.851% while Sudirman Said dataset has an accuracy rate of 84.322%, Precision value of 0.867%, Recall value of 0.843% and F-Measure of 0.815%. From these results, we can conclude that the Ganjar Pranowo dataset was higher compared to Sudirman Said's dataset.
E-Government Asset Management Using the Extreme Programming Taqwa Hariguna; Mirra Tsamara
International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.1

Abstract

Village Asset Management is a village property derived from the original property of the village, purchased or acquired for the expense of the village's income and expenditure budget (APBDes) or other legitimate acquisition of rights. In this study is the management of the village assets Kebumen Baturraden subdistrict and The problems acquired are the recording of village assets and the realization of the budget of the village assets that are still written so it takes A long time, Therefore the purpose in This research is to help and facilitate management performance in village Asset listing. Methods of collecting data using observations, interviews and Library studies. System development method using the Extreme programming method consisting of four phases of system development, namely planning, design, coding and test. The result of this research is a Village Asset Management E-Government using the Extreme Programming method of the Kebumen Village case study. The conclusion of this research is that it can simplify the management and realization of village assets budget due to the two interconnected reporting are reports of budget realization and village Asset report.
Co-Authors Mirra Tsamara Vera Rachmawati