DESAIN WEBSITE PEMESANAN JASA PERAWATAN KECANTIKAN DAN PENJUALAN PRODUK KECANTIKAN PADA GONOVA BEAUTY CARE

Gonova Beauty Care is a beauty clinic that offers various types of beauty care services, consultations and beauty products, which was established on September 14, 2016. Where all transaction activities at the clinic still use the traditional process where customers must first come to the clinic. To help overcome the problem in Gonova Beauty Care, the author tries to analyze and design a new system using the system development methodology, namely the System Development Life Cycle (SDLC) method. The proposed new system is based on the website to manage transactions that occur at the clinic and can make it easier for customers to place an order. The website is designed to serve the transaction of sales of beauty products and ordering beauty services. The design of this system uses the Bootstrap application for input and output design.Keywords: Website, Gonova Beauty Care, Order Service, Selling Beauty Products

Simulation-Based and Experimental Studies of Subjective Clustering and Bootstrap Application to Subjective Clustering

The success of any product in today’s competitive market is dictated by its ability to satisfy the needs of the customers. In this effort, it is important to group similar needs to recognize representative needs, and then identify product requirements that can fulfill these representative needs. One approach to this is to apply Subjective Clustering (SC) to sample data (grouping of customer needs by a sample of customers); however, clusters obtained by SC give only a point estimate of the primary clusters of customer needs by the entire population of customers (population primary clusters). Applying Bootstrap to SC (BS-SC) helps engineers to make inferences on the population primary clusters. In this paper, we randomly pulled out samples of different sizes from both the simulation approach using simulation-generated population data and the empirical approach using experimental population data, and compared the accuracies of SC and BS-SC. Regardless of population sizes, when the sample size was small, BS-SC was more accurate than SC in estimating the population primary clusters. Also, the BS-SC and SC estimates were similar for both simulation and empirical approaches.