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All Journal U-NET Jurnal Teknik Informatika
Shabrina Rasyid Munthe
Teknik Informatika - Universitas Al Washliyah
Computer Science & IT

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Algoritma K-Means Untuk Analisis Presepsi Masyarakat Labuhanbatu Dalam Promosi Produk Berbasis Digital Pasca COVID-19 Shabrina Rasyid Munthe; Sudi Suryadi; Muhammad Irwansyah Hasibuan; Ibnu Rasyid Munthe; Ronal Watrianthos
U-NET Jurnal Teknik Informatika Vol. 5 No. 2 (2021): U-NET Jurnal Teknik Informatika | Agustus
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v5i2.346

Abstract

The Labuhanbatu community who do business by promoting products utilize digital products with 142 post-covid-19 business actors where the attributes used are the use of the internet, social media, and product promotion. A total of 47 people took advantage, and as many as 95 business actors did not take advantage of product promotion opportunities. The method used for clustering is the K-Means algorithm and the process uses the CRISP-DM model. It is known that the results are processed using the rapidminer tool.
Co-Authors Ibnu Rasyid Munthe Muhammad Irwansyah Hasibuan, Ira Triyana Dewi, Ronal Watrianthos Suryadi, Sudi