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All Journal Jurnal Mantik Jurnal Visi Pengabdian Kepada Masyarakat
Sethu Ramen
STMIK Pelita Nusantara, Medan, Indonesia
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences

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PEMANFAATAN LITERASI DIGITAL DALAM PENINGKATAN SKILL PEMROGRAMAN Anita Sindar; Arjon Samuel Sitio; Feby Ginting; Sethu Ramen
Jurnal Visi Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2023): Jurnal Visi Pengabdian Kepada Masyarakat : Edisi Agustus 2023
Publisher : LPPM Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51622/pengabdian.v4i2.1336

Abstract

The dissemination of technological, scientific, social and cultural advances is very important to inform the community so that the implementation of learning activities is integrated with the educational curriculum. The development of science and technology must be applied directly and precisely to the school environment. Policy holders carry out strict supervision of school activities, especially so that students wisely, creatively and responsibly use digital devices. Achievement-based learning expands space for activities in formulating learning objectives. This activity applies the teaching model of lectures and practice (demonstrations). The fundamental role of the target audience is to increase the use of digital literacy media as a learning tool. The target of the activities for Grade 10 SMA Gajah Mada students aims to motivate students to explore their potential and talents by utilizing internet media as a learning resource according to the topics of interest. This activity utilizes digital hard and soft computer media.
Clustering method for predicting campaign results based on voter and candidate characteristics Jonson Manurung; Sethu Ramen; Logaraj Logaraj
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.4108

Abstract

This research applies clustering method with K-Means algorithm to analyze voter preferences and predict campaign outcomes based on voter and candidate characteristics in the context of political elections. By collecting and processing data on age, education, occupation, and candidate preferences, we apply K-Means to cluster voters into groups with similar patterns. The cluster results reveal similar political views and candidate preferences within each group of voters. By correlating the cluster results with previous election data, we are able to predict campaign outcomes with an accuracy that is beneficial for more careful and effective campaign strategies. This research contributes to a deeper understanding of the use of clustering methods in the context of political elections and its relevance in formulating successful campaign strategies.
Co-Authors Anita Sindar Arjon Samuel Sitio Feby Ginting Logaraj Logaraj Manurung, Jonson