3 research outputs found
Pemanfaatan Metode Clustering untuk melihat pola penjualan dan perilaku pembelian konsumen, pada penjualan tiket pesawat PT. Garuda Indonesia, Cabang Batam
Full text linkAnalysis of data mining on data sales aims to process data with limited attributes to know information that can be generated from processing of such data. The utilization of Clustering Method are expected to answer the needs of processing the data to figure out the pattern of most purchases and distance of purchases up to the day of departure at the data in two years on PT Garuda Indonesia, Batam Branch. Data Mining Processing aims to process sales data into information or knowledge which plays an important role as one of the solutions in determining the future strategy. The use of the K-means algorithm aims to see algorithm processing capabilities with limited attributes. The purpose of using this method is to obtain the largest purchasing frequency information each month as well as consumer purchasing patterns as reference in establishing business recommendations as well as acquiring knowledge which will be useful for PT Garuda Indonesia, Batam Branch. By considering the existence of business competition of other airline companies, the result is expected to bring feedback as material input for the company in the future
Penggunaan Algoritma Clustering K-means Untuk Melihat Daerah-Daerah Penyuplai Mahasiswa Di Universitas Kristen Satya Wacana, Salatiga.
No full textThe use of k-means algorithm in student supply process is done to see students supply tendency in each region who study at satya wacana christian university (SWCU). This data processing with k-meansis useful for extracting information and knowledge from students data at SWCU. With data mining processing, the stakeholders at SWCU can take strategic steps for the penetration process in regions with potential student supply indication. The use of k-meansalgorithms facilitates the process of data analysis as well as grouping on student data during a 5-year period. The aim of this study is to provide on target strategic picture for regions which potentially have a significant impact on students supply each year
Analisis perbandingan Cloud DOCUMENT pada EYeOS dan Google docs
Full text linkPenelitian ini bertujuan menganalisis perbandingan antara eyeOS dengan Google Docs sebagai alternatif yang lebih baik yang harus digunakan untuk membantu pengguna dalam masalah pendokumntasian. Dokumen berupa dokumen pengolah kata, spreadsheet, dan presentation. Perbandingan antara eyeOS dengan Google Docs ini nantinya akan diketahui manakah yang paling efektif serta efisien yang dibutuhkan untuk keperluan dokumentasi dan dokumen dapat dibagikan ke para user lainnya
