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Prismahardi Aji Riyantoko
Department of Data Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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A Simple Data Sentiment Analysis using Bjorka phenomenon on Twitter Prismahardi Aji Riyantoko; Amri Muhaimin
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3353

Abstract

Social media is one of the means used by netizens to access, share and discuss the latest and hottest news issues. Twitter as one of the social media is a platform that in real-time is often chosen to communicate that matter. Through sentiment analysis with the text method mining on Twitter, we can understand how people describe and express their perceptions of obesity both positively and negatively nor neutral. This analysis is important to see the extent to which social media such as Twitter is used today. Those are one of the instruments for disseminating information data security in Indonesia. Research objectives for identifying sentiment analysis on related Twitter the Bjorka phenomenon in Indonesia using the text mining method. The type of research is cross-sectional. This research plan was chosen because of the data taken from Twitter in the last four-month time series (June 2022 - October 2022). The result of web scraping on Twitter is 998 Indonesian tweets. Taking data using the Twitter Scraping extension pack and analyzing using Python 3.7.2. Based on the results of sentiment analysis tweets got a neutral sentiment of 744 (75%) tweets, followed by negative sentiment of as much as 175 (18%) tweets and positive sentiment by the number 75 (8%) of a total of 994 tweets. The conclusion was presented the modelling in based on the topic, and we got three topic most relevant terms for topic 0, 1, or 2 with 35,3%, 33%, 31,7% of tokens, respectively.
Internet of Things ESP8266 Module for Vocational High School Student Prismahardi Aji Riyantoko; Ahmad Khairul Faizin; Burhan Syarif Acarya; Fairuz Mumtaz Idhizar Farraz
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3354

Abstract

The development of information and communication technology in the industrial era 4.0 is very rapid, especially in the field of IoT (Internet of Things). To get data and process data very quickly and in real-time, it takes a device that is connected to the internet network that will be able to provide information to anyone who is connected to the IoT device. IoT is the development of a system that can monitor and control from a remote place via the internet. In the current era, almost all people can access the internet easily, so by utilizing and optimizing the use of communication through the internet network by connecting sensor and actuator devices to the internet network. With this development, we need to provide the community with knowledge and skills about IoT through workshops, training and mentoring. The training includes knowledge of sensors, microcontrollers, and actuators that can be programmed and connected to the internet network. The ESP8266 microcontroller is a control device that can be filled with a program for controlling and monitoring devices installed on the internet network
A Simple Data Sentiment Analysis using Bjorka phenomenon on Twitter Prismahardi Aji Riyantoko; Amri Muhaimin
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3353

Abstract

Social media is one of the means used by netizens to access, share and discuss the latest and hottest news issues. Twitter as one of the social media is a platform that in real-time is often chosen to communicate that matter. Through sentiment analysis with the text method mining on Twitter, we can understand how people describe and express their perceptions of obesity both positively and negatively nor neutral. This analysis is important to see the extent to which social media such as Twitter is used today. Those are one of the instruments for disseminating information data security in Indonesia. Research objectives for identifying sentiment analysis on related Twitter the Bjorka phenomenon in Indonesia using the text mining method. The type of research is cross-sectional. This research plan was chosen because of the data taken from Twitter in the last four-month time series (June 2022 - October 2022). The result of web scraping on Twitter is 998 Indonesian tweets. Taking data using the Twitter Scraping extension pack and analyzing using Python 3.7.2. Based on the results of sentiment analysis tweets got a neutral sentiment of 744 (75%) tweets, followed by negative sentiment of as much as 175 (18%) tweets and positive sentiment by the number 75 (8%) of a total of 994 tweets. The conclusion was presented the modelling in based on the topic, and we got three topic most relevant terms for topic 0, 1, or 2 with 35,3%, 33%, 31,7% of tokens, respectively.
Internet of Things ESP8266 Module for Vocational High School Student Prismahardi Aji Riyantoko; Ahmad Khairul Faizin; Burhan Syarif Acarya; Fairuz Mumtaz Idhizar Farraz
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3354

Abstract

The development of information and communication technology in the industrial era 4.0 is very rapid, especially in the field of IoT (Internet of Things). To get data and process data very quickly and in real-time, it takes a device that is connected to the internet network that will be able to provide information to anyone who is connected to the IoT device. IoT is the development of a system that can monitor and control from a remote place via the internet. In the current era, almost all people can access the internet easily, so by utilizing and optimizing the use of communication through the internet network by connecting sensor and actuator devices to the internet network. With this development, we need to provide the community with knowledge and skills about IoT through workshops, training and mentoring. The training includes knowledge of sensors, microcontrollers, and actuators that can be programmed and connected to the internet network. The ESP8266 microcontroller is a control device that can be filled with a program for controlling and monitoring devices installed on the internet network
Co-Authors Ahmad Khairul Faizin Amri Muhaimin Burhan Syarif Acarya Fairuz Mumtaz Idhizar Farraz