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All Journal CCIT (Creative Communication and Innovative Technology) Journal Journal Sensi: Strategic of Education in Information System
Atmojo, Tito Tri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Automatic Machine Control System Using Arduino Microcontroller Harfizar, Harfizar; Wardoyo, Rizky Adytya; Atmojo, Tito Tri; Supriyono, Ignatius Agus
Journal Sensi: Strategic of Education in Information System Vol 10 No 2 (2024): Journal Sensi
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sensi.v10i2.3473

Abstract

Filling the tank with water uses a water machine to suck and put water into it. Water tanks are used to store clean water for household needs, especially from wells. This system requires manual supervision. The machine must be turned on if the tank is empty and turned off if it is full. If you forget to turn off the machine, the water will overflow and cause waste of water and electricity. Technological developments encourage the use of microcontrollers to overcome this problem. A microcontroller is a chip that processes digital data with a special language. Microcontrollers can be used as electronic controllers and to store programs. By using this technology, the problem of wasting water can be reduced. An automatic control system with an Arduino microcontroller can turn the water machine on and off automatically when the tank is empty and full. It is hoped that this system can help humans use water and electricity effectively and efficiently.
Sentiment Analysis of Twitter Data on the 2024 Indonesian Presidential Election Using BERT Roihan, Ahmad; Atmojo, Tito Tri; Wardoyo, Rizky A; Saputra, Muhamad Stabil Tanwin
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3210

Abstract

Social media platforms, particularly Twitter, are frequently employed by individuals to articulate their opinions on various subjects in textual form. The proliferation of viewpoints from diverse sources can influence public perceptions on these topics. The greater the popularity of a topic, the more abundant the opinions generated. Currently, the most widely discussed topic is the 2024 Indonesian presidential election. Sentiment analysis, or opinion mining, is an academic discipline that examines sentiments towards a given entity, while text mining involves the extraction of information through processing, classifying, and analyzing extensive datasets. This study will utilize data crawling techniques to gather data from Twitter which will subsequently undergo preprocessing and cleaning. Following this, the cleaned data will be classified by sentiment (positive, negative, or neutral) using a pre-trained language model (BERT) and Natural Language Toolkit (NLTK). The classified data will then be visualized with tools such as Matplotlib and Wordcloud to elucidate the data distribution.
Co-Authors Ahmad Roihan, Ahmad Harfizar, Harfizar Saputra, Muhamad Stabil Tanwin Supriyono, Ignatius Agus Wardoyo, Rizky A Wardoyo, Rizky Adytya