Abstract
This research uses multiple linear regression methods. research is useful to predicate the average number of people's arrival. this research uses Microsoft Excel 2010 and Rapid miner applications. The variables used are independent variables, free: stock blangko, operator, and working time. predicted to use sample x1 = 795,x2= 3 people, x3= 7 hours , and y= 296 people. Prediction result is -92.2484452, error value data 0.548 and 0.548 for public arrivals.
Highlights
This research uses multiple linear regression methods. research is useful to predicate the average number of people's arrival. this research uses Microsoft Excel 2010 and Rapid miner applications
"Penerapan Data Mining Untuk Peramalan Penjualan Obat dengan Menggunakan Single Exponential Smoothing di Apotek Hamzah Farma." Prosiding Seminar Nasional Darmajaya
Summary
"Pengaruh Promotion Mix Terhadap Brand Awareness Pt Hm Sampoerna Tbk Melalui Produk Terbaru Sampoerna A Platinum." Jurnal Strategi Pemasaran 5.2 (2018). [5] Syahra, Yohanni, Ismawardi Santoso, And Rini Kustini. "Implementasi Data Mining Untuk Prediksi Angka Kelahiran Bayi Pada Desa Sibolangit Menggunakan Multi Regresi." Seminar Nasional Sains Dan Teknologi Informasi (Sensasi).
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