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All Journal Jurnal Pengembangan Rekayasa dan Teknologi RANDANG TANA - Jurnal Pengabdian Masyarakat
Vensy Vydia
Fakultas Teknologi Informasi dan Komunikasi, Universitas Semarang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation

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PENGGUNAAN METODE K-MEANS PADA ANALISA DAN KLASIFIKASI CAPRES 2019 DI TWITTER Ahmad Rifa i; Galet Guntoro Setiaji; Vensy Vydia
Jurnal Pengembangan Rekayasa dan Teknologi Vol 3, No 1 (2019): Mei (2019)
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jprt.v15i1.1489

Abstract

Media sosial merupakan wadah untuk mencurahkan kata-kata melalui tulisan pada dunia maya (online), sehingga pada nantinya akan dapat dilihat oleh banyak orang baik yang dikenal maupun tidak dikenal. Twitter merupakan jejaring sosial atau media sosial yang memiliki teks terbatas, yaitu memiliki   Panjang teks sebanyak 280 karakter. Metode crawling merupakan metode yag digunakan untuk pengambilan data dari media sosial yang dapat digunakan sebagai developer application.Crawling data pada media sosial twitter ini menggunakan aplikasi spyder python 3.7 yang berada didalam aplikasi anaconda. Dengan aplikasi tersebut akan di dapatkan data-data berkenaan dengan capres 2019. data-data tersebut akan diolah menggunakan metode K-Means. Setelah dilakukan pengolahan data menggunakan K-Means di dapatkan untuk cluster 1 (Jokowi) muncul sebanyak 3 kali sedangkan untuk cluster 2 (Prabowo) muncul sebanyak 1 kali.
PENINGKATAN PENGETAHUAN IMPLEMENTASI SENSOR-SENSOR PENDUKUNG TEKNOLOGI INTERNET OF THINGS BAGI GURU SMK WALISONGO SEMARANG Febrian Wahyu Christanto; April Firman Daru; Vensy Vydia
Randang Tana - Jurnal Pengabdian Masyarakat Vol 5 No 2 (2022): Randang Tana - Jurnal Pengabdian Masyarakat
Publisher : Unika Santu Paulus Ruteng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36928/jrt.v5i2.1017

Abstract

Internet of Things is a phenomenon of information technology not only playing a role in the economic field, but also in the field of education. Today every teacher, especially at Vocational High Schools (SMK) is required to teach information technology, one of which is the Internet of Things. As such, it meets the needs of the industrial world which requiring skills and competitiveness in the technology from the vocational school graduates. This encourages teachers to always update knowledge about the development of information technology. However, not all information technology can be taught optimally, especially sensors material and its implementation on the Internet of Things. This occurs as the Internet of Things is a fairly new technology. In addition, the time for teachers to learn the latest technology is limited due to unsupported facilities and administrative tasks that need to be completed immediately. This has an impact on the minimum level of teacher mastery for sensors that support Internet of Things technology including teachers at the SMK Walisongo Semarang. Through the Community Service (PkM) program at the Universitas Semarang which was held on Tuesday, November 2, 2021, the PkM team expected an increasing knowledge of the implementation of sensors supporting Internet of Things technology for teachers at SMK Walisongo Semarang. There are 4 types of sensors used in this PkM program, namely proximity sensors, humidity sensors, temperature sensors, and light sensors which will be presented using the practical method. The PkM that has been carried out, it is found that the results of this service is that the knowledge of teachers on Internet of Things sensors has increased up to 75%.. It is hoped that this program will be a will increase teacher knowledge at the SMK Walisongo Semarang and can help them create vocational graduates who have the skills and competitiveness in the world of technology.
Co-Authors Ahmad Rifa i April Firman Daru Febrian Wahyu Christanto Galet Guntoro Setiaji