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All Journal IJID (International Journal on Informatics for Development) Kaunia: Integration and Interconnection of Islam and Science Journal
M. Didik R. Wahyudi
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Religion Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

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ANALISIS PEMANFAATAN INFRASTRUKUR TEKNOLOGI INFORMASI UNTUK MENDUKUNG PROGRAM E-GOVERNMENT PADA KANTOR KEMENTERIAN AGAMA DI WILAYAH PROVINSI DI YOGYAKARTA M. Didik R. Wahyudi
Kaunia: Integration and Interconnection Islam and Science Vol. 11 No. 2 (2015)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.1028

Abstract

The rapid development of information technology and almost all institutions have implemented information technology in the processing of data and information. Office of the minister of religion as government agencies committed to improving service to the community as well as providing actual information from the government in real-time. Therefore the use of information technology is needed to help employees do the work. The use of information technology in an institution due to several factors, such as social aspect, affect (feelings of people), complexity, long-term consequences, the suitability of the task and the conditions that facilitate the use of information technology. Based on these aspects, the research conducted to see the effect of the use of information technology to social factors, the complexity of the system and the conditions that facilitate the use of information technology on the religious ministries in the area of Yogyakarta Special Region.
Analysis of Personality Characteristic Using the Naïve Bayess Classifier Algorithm (Case Study Official Twitter of Basuki Tjahaja Purnama's and Anies Baswedan) Ireicca Agustiorini Harsehanto; M. Didik R. Wahyudi
IJID (International Journal on Informatics for Development) Vol. 7 No. 2 (2018): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.65 KB) | DOI: 10.14421/ijid.2018.07203

Abstract

This research uses data from social media Twitter based on the results of tweets from user_timeline @basuki_btp and @aniesbaswedan. This study uses 2100 tweet data. Data that has been collected is then pre-processed first and labeled manually. The next process is classification using the Naïve Bayes Classifier Algorithm using the Big Five Personality Theory. Based on the test results using 500 tweet data as training data and 1600 tweet data as testing data. The classification results obtained by using the Naïve Bayes Classifier Method and grouped in the "Big Five" personality groups: Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism on tweet data in Indonesian.
Co-Authors Ireicca Agustiorini Harsehanto