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All Journal Building of Informatics, Technology and Science COMMICAST
Maulana, Pandu
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Humanities Computer Science & IT Languange, Linguistic, Communication & Media Social Sciences

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Journal : building of informatics technology and science

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Rancangan Ikat Pinggang Ultrasonik untuk Membantu Tunanetra Berjalan dengan Arduino Uno R3 dan Modul HC-SR04 Aldisa, Rima Tamara; Abdullah, Mohammad Aldinugroho; Maulana, Pandu
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.157 KB) | DOI: 10.47065/bits.v3i4.1304

Abstract

Blind is a condition of a person who has a disturbance in his vision, obstacles in seeing. The blind are divided into two categories, those who are totally blind and those with residual vision. For this problem, we need an assembly tool that is smart, automatic and makes it easier for blind people and can assist in the activities of a blind person in walking and help tell if there is an object in front of him, this tool will emit a loud sound sensor so that the blind person can hear it. The author designed an Ultrasonic Belt to help the Blind Walk with Arduino Uno R3 and the HC-SR04 Module by using a proximity sensor to determine the presence of objects in front of it, the buzzer immediately emits a sound with a minimum or closest distance of 1 cm and the furthest distance of 1.5 meters is still detected if there are objects in the area. in front of him.
Analisis Sentimen Opini Masyarakat Terhadap Vaksinasi Booster COVID-19 Dengan Perbandingan Metode Naive Bayes, Decision Tree dan SVM Aldisa, Rima Tamara; Maulana, Pandu
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.051 KB) | DOI: 10.47065/bits.v4i1.1581

Abstract

The impact of the COVID-19 pandemic is very broad, especially in Indonesia. In early 2022, Indonesia entered the early stages of recovering conditions caused by the pandemic. The government has an option for the community to carry out a third dose of vaccination (booster). However, there are a number of pros and cons in the community regarding the booster vaccine. This study aims to conduct sentiment analysis related to public opinion on the COVID-19 booster vaccination in Indonesia with Naive Bayes model. The data source used comes from Twitter. The workflow of this research includes data crawling, labeling, preprocessing, dataset sharing, and model testing and comparison with other models, namely Decision Tree and SVM. The results of this study indicate that the largest AUC score falls to the SVM model (75.40%), but for more accurate precision falls to the Naive Bayes model (83.81%). In addition, there is a confusion matrix which shows that the Naive Bayes model trial is running well.
Co-Authors Abdullah, Mohammad Aldinugroho Aldisa, Rima Tamara Dani Fadillah