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All Journal Jurnal Riset Informatika RISTEC : Research in Information Systems and Technology
Minarto Minarto
Sekolah Tinggi Teknologi Wastukancana
Computer Science & IT

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Design Of Data Acquisition And Electrical Equipment Controller Systems In Classroom Arduino Mega And NodeMCU ESP8266 Based Minarto Minarto; Imay Kurniawan; Candra Dewi Lestari; Lise Sri Andar Muni
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3164

Abstract

The method of class preparation in tertiary institutions especially in Purwakarta Regency still uses conventional methods. At Purwakarta Wastukancana College of Technology, conventional  class preparation activities have a problems. An electricequipment being turned on too early and also the possibility of a delay in turning it off, this could result in the use of inefficient electrical equipment and also an effect on electricity costs.The authors conducted research with the aim of designing and building a system that functions to acquire and control electrical devices in the form of lamps and air conditioners in desktop-based classrooms with the method of developing Pressman waterfall 2010, designing models using a unified modeling language (UML) ) namely use case diagrams, activity diagrams, sequence diagrams, and class diagrams. Built using the PHP programming language and Visual Basic.Net, for databases using MySQL, and testing applications using black-box testing, for hardware implementation, the authors use Arduino Mega, Nodemcu ESP8266.With the creation of a data acquisition system and control of classroom arduino mega and nodemcu esp8266 electrical devices for the Purwakarta Wastukancana College of Technology will advance the means for regulating the use of electricity, thereby increasing electricity efficiency. Furthermore, it can provide cost efficiency in electricity payments. Keywords: Data acquisition, monitoring system, application, Waterfall, Arduino mega, Nodemcu ESP8266, MySQL.
Sentiment Analysis of Telemedicine Applications on Twitter Using Lexicon-Based and Naive Bayes Classifier Methods Arid Hasan; Yudhi Raymond Ramadhan; Minarto Minarto
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.857 KB) | DOI: 10.34288/jri.v5i4.244

Abstract

Since the onset of the COVID-19 pandemic in Indonesia, many people have turned to telemedicine programs as an alternative to minimize social interactions, opting for consultations from the safety of their homes using smartphones and internet connectivity. Given the necessity for physical distancing and avoiding crowded places, these applications have become indispensable substitutes for in-person medical consultations. Numerous apps facilitating access to healthcare services have been introduced in Indonesia, ranging from business startups to initiatives by the Ministry of Health. Telemedicine can potentially revolutionize healthcare in Indonesia, addressing critical health challenges. A significant issue within Indonesia's healthcare system is the scarcity of doctors and their uneven distribution. With only four doctors per 10,000 people, this figure falls far below the WHO guideline of 10 doctors per 1,000. Sentiment analysis of these applications was conducted to evaluate how telemedicine applications meet public needs and offer an alternative solution. Lexicon-based and naive Bayes methods were employed to classify tweet data into positive, neutral, and negative sentiments. The results revealed 908 positive tweets, 172 negative tweets, and 168 neutral tweets, indicating predominantly positive public perceptions of telemedicine applications. The naive Bayes classifier exhibited a 74% accuracy rate, with a precision of 98% and a recall of 86%. These findings underscore the positive impact and acceptance of telemedicine applications among the Indonesian populace, emphasizing their significance in augmenting the nation's healthcare landscape.
Co-Authors Arid Hasan Candra Dewi Lestari Imay Kurniawan Lise Sri Andar Muni Yudhi Raymond Ramadhan