Algoritma K-Means Untuk Analisis Presepsi Masyarakat Labuhanbatu Dalam Promosi Produk Berbasis Digital Pasca COVID-19
Keywords:
kmeans, covid19
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.
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References
A. Kadir and T. Triwahyuni, Pengantar Teknologi Informasi Edisi Revisi. 2014.
V. Aris, “PENGARUH PERSEPSI KEGUNAAN DAN KETERSEDIAAN TEKNOLOGI INFORMASI TERHADAP PENERIMAAN PENGGUNAAN INTERNET PADA STISIP VETERAN PALOPO,” J. Manaj. STIE Muhammadiyah Palopo, vol. 2, no. 1, Aug. 2016, doi: 10.35906/jm001.v2i1.162.
J. Weenas, “KUALITAS PRODUK, HARGA, PROMOSI DAN KUALITAS PELAYANAN PENGARUHNYA TERHADAP KEPUTUSAN PEMBELIAN SPRING BED COMFORTA,” J. Ris. Ekon. Manajemen, Bisnis dan Akunt., vol. 1, no. 4, 2013, doi: 10.35794/emba.v1i4.2741.
R. R. Putra and C. Wadisman, “Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K Means,” INTECOMS J. Inf. Technol. Comput. Sci., vol. 1, no. 1, pp. 72–77, 2018, doi: 10.31539/intecoms.v1i1.141.
N. Evelina, H. Dw, S. Listyorini, J. Administrasi, and B. Fakultas, “PENGARUH CITRA MEREK, KUALITAS PRODUK, HARGA, DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN KARTU PERDANA TELKOMFLEXI (Studi kasus pada konsumen TelkomFlexi di Kecamatan Kota Kudus Kabupaten Kudus),” J. Ilmu Adm. Bisnis, vol. 1, no. 1, pp. 203–213, 2013.
A. Harisah and Z. Masiming, “PERSEPSI MANUSIA TERHADAP TANDA,SIMBOL DAN SPASIAL,” SMARTek, vol. 6, no. 1, 2012.
I. Binanto, Multimedia Digital - Dasar Teori dan Pengembangannya, I. Andi, 2010.
B. M. Metisen and H. L. Sari, “ANALISIS CLUSTERING MENGGUNAKAN METODE K-MEANS DALAM PENGELOMPOKKAN PENJUALAN PRODUK PADA SWALAYAN FADHILA,” JURNAL MEDIA INFOTAMA, 2015. [Online]. Available: https://jurnal.unived.ac.id/index.php/jmi/article/view/258.
N. Mara and N. S. Intisari, “PENGKLASIFIKASIAN KARAKTERISTIK DENGAN METODE K-MEANS CLUSTER ANALYSIS,” 2013.
V. Aris, “PENGARUH PERSEPSI KEGUNAAN DAN KETERSEDIAAN TEKNOLOGI INFORMASI TERHADAP PENERIMAAN PENGGUNAAN INTERNET PADA STISIP VETERAN PALOPO,” J. Manaj. STIE Muhammadiyah Palopo, vol. 2, no. 1, Aug. 2016, doi: 10.35906/jm001.v2i1.162.
J. Weenas, “KUALITAS PRODUK, HARGA, PROMOSI DAN KUALITAS PELAYANAN PENGARUHNYA TERHADAP KEPUTUSAN PEMBELIAN SPRING BED COMFORTA,” J. Ris. Ekon. Manajemen, Bisnis dan Akunt., vol. 1, no. 4, 2013, doi: 10.35794/emba.v1i4.2741.
R. R. Putra and C. Wadisman, “Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K Means,” INTECOMS J. Inf. Technol. Comput. Sci., vol. 1, no. 1, pp. 72–77, 2018, doi: 10.31539/intecoms.v1i1.141.
N. Evelina, H. Dw, S. Listyorini, J. Administrasi, and B. Fakultas, “PENGARUH CITRA MEREK, KUALITAS PRODUK, HARGA, DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN KARTU PERDANA TELKOMFLEXI (Studi kasus pada konsumen TelkomFlexi di Kecamatan Kota Kudus Kabupaten Kudus),” J. Ilmu Adm. Bisnis, vol. 1, no. 1, pp. 203–213, 2013.
A. Harisah and Z. Masiming, “PERSEPSI MANUSIA TERHADAP TANDA,SIMBOL DAN SPASIAL,” SMARTek, vol. 6, no. 1, 2012.
I. Binanto, Multimedia Digital - Dasar Teori dan Pengembangannya, I. Andi, 2010.
B. M. Metisen and H. L. Sari, “ANALISIS CLUSTERING MENGGUNAKAN METODE K-MEANS DALAM PENGELOMPOKKAN PENJUALAN PRODUK PADA SWALAYAN FADHILA,” JURNAL MEDIA INFOTAMA, 2015. [Online]. Available: https://jurnal.unived.ac.id/index.php/jmi/article/view/258.
N. Mara and N. S. Intisari, “PENGKLASIFIKASIAN KARAKTERISTIK DENGAN METODE K-MEANS CLUSTER ANALYSIS,” 2013.
Published
2021-08-06
How to Cite
[1]
S. R. Munthe, S. Suryadi, M. I. Hasibuan, I. R. Munthe, and R. Watrianthos, “Algoritma K-Means Untuk Analisis Presepsi Masyarakat Labuhanbatu Dalam Promosi Produk Berbasis Digital Pasca COVID-19”, u-net, vol. 5, no. 2, pp. 14-24, Aug. 2021.
Section
Research Article
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