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ANALISA PENGARUH KUALITAS MAKANAN TERHADAP KEPUASAN KONSUMEN DI YOSHINOYA GALAXY MALL SURABAYA Willy Wijaya
Jurnal Hospitality dan Manajemen Jasa Vol 5, No 2 (2017): Jurnal Hospitality dan Manajemen Jasa
Publisher : Jurnal Hospitality dan Manajemen Jasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.11 KB)

Abstract

Abstrak : Penelitian ini dilakukan untuk menganalisis pengaruh kualitas makanan melalui variabel freshness, presentation, well cooked, dan variety of food terhadap kepuasan konsumen di Yoshinoya Galaxy Mall Surabaya. Jenis penelitian ini adalah penelitian kausal dan bersifat kuantitatif, dengan menggunakan teknik analisa deskriptif dan regresi linier berganda. Hasil penelitian menunjukkan bahwa keempat variabel kualitas makanan secara parsial dan simultan memiliki pengaruh yang positif dan signifikan terhadap kepuasan konsumen. Sedangkan presentation adalah faktor yang paling dominan dalam mempengaruhi kepuasan konsumen.Kata Kunci : Kualitas Makanan, Kepuasan KonsumenAbstract : This research was conducted to analyze the influence of food quality through 4 variables which were freshness, presentation, well cooked, and variety of food on customer satisfaction at Yoshinoya Galaxy Mall Surabaya. This type of research is a causal research and quantitative, by using descriptive analysis techniques and multiple linear regression. The result showed that partially and simultaneously 4 variables of food quality had a positive and significant effect on customer satisfaction. While presentation was the most dominant factor that influence customer satisfaction.Keywords : Food Quality, Customer Satisfaction
PENGENALAN BENTUK TANGAN DENGAN METODE PCA DAN NFL SEBAGAI PENGGANTI MOUSE KOMPUTER Willy Wijaya; Chairisni Lubis; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 5, No 1 (2017): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v5i1.795

Abstract

Humans who always do the daily activities with computers, need some ways and means to be able to interact (give inputs and receive outputs) with the computers. This program is made so the people can interact with the computers, using their hand gestures instead of a computer mouse. The program uses the hand image as an input. And then the program uses Principal Component Analysis and Nearest Feature Line methods to recognize user’s hand gestures. The testing of the program is carried out with four scenarios. The first and second scenario with Database of the hand images of one man, show hand gesture recognition success rate of 92% and 76%, respectively. Then the follow-up testing is carried out with two more additional scenarios. The third and fourth scenario is hand gesture recognition testing with Database of the hand images of two people combined (balanced composition).