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Improving Student’s Coding Skill with Gamification Website-based Program Rizal, Rahmat; Susilo, Edi; Nasution, Salhazan
International Journal of Electrical, Energy and Power System Engineering Vol. 4 No. 3 (2021): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.4.3.191-195

Abstract

People's dependence on digital technology has increased rapidly since the global Covid-19 pandemic. This causes the world's need for digital products and human resources to make digital products higher. Informatics Engineering Program is one of the providers of human resources who are proficient in the field of information technology. One of the basic skills that must be possessed to create digital products is programming or coding skills. The more skilled a person is at typing and understanding coding, the more complex the digital products he can create. This is why the coding ability of students in the Informatics Engineering Program must be improved. This website-based coding training program aims to improve the coding skills of Informatics Engineering students with interesting and fun gamification methods. Gamification methodology will greatly benefit student of Informatics Engineering Program in Riau University to improve his or her coding skill without consuming too much time and energy.
Analisis Sentimen Twitter dan Pengaruhnya Kepada Masyarakat Terhadap Jatuhnya Cryptocurrency Oktasia Nasution, Hafiza; Noviasari, Henni; Nasution, Salhazan; Melinda, Lisa
IT Journal Research and Development Vol. 7 No. 1 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.10599

Abstract

Cryptocurrency has become a global phenomenon nowadays. Based on the results of the GlobalWebIndex Survey, around 10% of internet users in Indonesia have digital currencies. But in recent years, the price of the cryptocurrency has fallen. It has resulted in people starting to hesitate to invest in crypto. This problem causes responses from the community, such as positive, negative, and neutral responses. This study aims to classify public opinion through the response to the fall of crypto by applying sentiment analysis through Twitter social media. Sentiment analysis data collection on Twitter uses the python programming language. There are three stages in the data analysis process: data crawling, preprocessing, and the results of classification and visualization. Based on research from sentiment analysis through social media Twitter, it was obtained that 57.9% produced a neutral value, 35.7% produced a positive value, and 6.4% produced a negative value.