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All Journal Journal of International Conference Proceedings
Dini Fakta Sari
STMIK AKAKOM Yogyakarta
Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Test of Easy Factors and The Utilization of University Website in Supporting Student Learning Processes Edy Prayitno; Deborah Kurniawati; Dini Fakta Sari; Muhammad Abdullah Alhusni
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.422

Abstract

The existence of a university website is an integral part of the existence of the university itself. But it is necessary to test the acceptance of the website for the user, how does the influence of the university website on student learning. The study was conducted using a quantitative descriptive approach with multiple linear regression analysis tools. Questionnaires were conducted on students as one of the website users by asking about the ease and usefulness of the website. Simultaneous test results on perceptions of benefits and perceptions of convenience show the results of Fcount in column F as much as 149,180, with a significance of 0,000, greater than the value of Ftable which is 0,139 with an error rate of 5% or in other words Fcount> Ftable (149,180> 0,139). Based on hypothesis testing criteria if Fcount> Ftable with a significance level of 0.000 Ftable (149,180> 0,139). Based on hypothesis testing criteria if Fcount> Ftable with a significance level of 0.000
Sentiment Analysis of Twitter Use on Policy Institution Services using Naïve Bayes Classifier Method Deborah Kurniawati; Edy Prayitno; Dini Fakta Sari; Septian Narsa Putra
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.409

Abstract

Twitter is one of the social media used to respond to various services of public service institutions, including the police. The research aims to determine the community's assessment of the services and performance of police institutions delivered via Twitter. This study uses the Naïve Bayes Classifier algorithm to classify topics and public sentiment towards tweets from police agencies. The results obtained were 181 positive tweets, 322 negative tweets, and 33 neutral tweets. Sentiment analysis showed 55% responded positively to police activities, 19.1% responded positively to public comments, and 91.8% responded positively to social services. It can be concluded that most people support police activities and services, but most people are still dissatisfied with police performance.
Sentiment Analysis of Twitter Social Media to Online Transportation in Indonesia Using Naïve Bayes Classifier Dini Fakta Sari; Deborah Kurniawati; Edy Prayitno; Irfangi Irfangi
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.410

Abstract

The application of information technology in transportation services is a positive development felt by the community with the emergence of various online transportation services. On the other hand, nowadays society cannot escape the use of social media in communicating and interacting with other parties. This research was conducted to determine the relationship between the use of social media and the use of online transportation services. The study was conducted using the Naïve Bayes Classifier method to analyze Twitter social media sentiment towards online transportation in Indonesia. The study was conducted by processing 1009 data, consisting of 900 training data and 109 test data. From the results of testing of 109 training data obtained 11% had a positive value, 14% negative value, and the rest, which is 75% neutral value. While the test accuracy test for 109 data resulted in an accuracy of 84%. The results of the study show that most of the use of Twitter social media in Indonesia does not affect the user's decision to utilize online transportation services.
Co-Authors Deborah Kurniawati, Deborah Edy Prayitno Irfangi Irfangi Muhammad Abdullah Alhusni Septian Narsa Putra