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All Journal Wahana: Jurnal Ekonomi, Manajemen dan Akuntansi Jurnal Informatika dan Rekayasa Komputer
Maria Rosario Borroek
Universitas Dinamika Bangsa
Computer Science & IT Economics, Econometrics & Finance

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Implementasi Algoritma K-Means Clustering Untuk Mengetahui Minat Pembeli di Agen Buah Melon Yudi Nanda Ghina; Najmul Laila; Marrylinteri Istoningtyas; Mayang Ruza; Errissya Rasywir; Maria Rosario Borroek; Yovi Pratama
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 2 No 2 (2022): JAKAKOM Vol 2 No 2 September 2022
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1032.104 KB) | DOI: 10.33998/jakakom.2022.2.2.116

Abstract

Abstrak - Penelitian ini dilakukan untuk mempelajari K-Means Clustering dalam pencarian knowledge (pengetahuan). Tujuan dari penelitian ini kemungkinan dapat membantu pihak Agen Buah Yudi untuk menentukan cluster minat pembeli banyak, sedang, dan sedikit diletakkan sesuai urutan minat pembeli buah yang bayak, sedang, dan sedikit di Agen Buah Yudi. Untuk itu dalam metode K-Means Clustering dimungkinkan adanya solusi dan analisa terhadap pengolahan data dan parameter-parameter yang menjadi acuan untuk mengambil keputusan. Di dalam metode ini terdapat langkah-langkah penyelesaian masalah. Adapun tools bantu untuk mengimplementasikan metode tersebut adalah Weka akan mengolah data secara tersusun atas operator-operator yang langsung didapatkan hasil secara akurat selanjutnya pada tahapan terakhir akan didapatkan knowledge baru. Kata kunci : Buah Melon, klasifikasi, Algoritma, K-means Clustering, Weka Abstract - This research was conducted to study K-Means Clustering in the search for knowledge (knowledge). The purpose of this research may be to help the Yudi Fruit Agent to determine the interest of many, medium, and few buyers according to the order of high, medium, and little interest of the Yudi Fruits Agent. For this reason, in the K-Means Clustering method, it is possible to provide solutions and analyzes for data processing and the parameters that become the reference for making decisions. In this method there are steps to solve the problem. As for the tools to implement this method, Weka will process data in an organized manner consisting of operators which immediately get accurate results, then in the last stage new knowledge will be obtained. Keywords : Buah Melon, klasifikasi, Algoritma, K-means Clustering, Weka
Pemanfaatan Teknologi Marketing Dan Inovasi Produk Terhadap Keunggulan Bersaing Untuk Meningkatkan Kinerja Pemasaran Ayu Feranika; Despita Meisak; Maria Rosario Borroek; Muthia Hanum
Wahana: Jurnal Ekonomi, Manajemen dan Akuntansi Vol 26, No 2 (2023)
Publisher : Akademi Akuntansi YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35591/wahana.v26i2.862

Abstract

This study aims to empirically prove the effect of using social media and product innovation on competitive advantage to improve marketing performance. This research is a quantitative research with data analysis tools used Structural Equation Modeling (SEM) in the AMOS 2.6 program. The results of this study prove and conclude that marketing technology and product innovation have an effect on competitive advantage, and competitive advantage has an effect on marketing performance. Theoretically, this study confirms that there is a positive relationship between factors that influence competitive advantage, namely the use of marketing technology and product innovation, as well as a positive relationship between competitive advantage and marketing performance, where the findings in this study support many similar research results.Competitive advantage plays a role in improving marketing performance, to increase competitive advantage it is necessary to utilize marketing technology and innovate products.
Co-Authors Despita Meisak Errissya Rasywir Feranika, Ayu Marrylinteri Istoningtyas Mayang Ruza Muthia Hanum Najmul Laila Nanda Ghina Yovi Pratama