Pemilihan Waitress Resto Akul Terbaik Menerapkan Metode WASPAS dengan Pembobotan ROC

Puspa Ayu Soleha, Rima Tamara Aldisa, Mohammad Aldinugroho Abdullah
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Abstract

The restaurant is an area that serves culinary delights for public consumption and also has various services to make customers feel at home while eating. One of the factors that determines the success of a restaurant in the food industry is the quality of the waitress service. An employee who serves customers in a restaurant, cafe, dining room or hotel is known as a waitress. These are the people who will approach a client as they walk in to take their order, give them a menu, and be available if they need more. Because it generates data that can be used for administrative decisions such as promotion, training, awards and other assessments, selecting the best restaurant waiter is a very important process in management. The obstacle in choosing the best restaurant waitress is the difficulty for restaurant management to make decisions regarding the best restaurant waitress because of the large amount of data which results in a long processing time. The Weighted Aggregated Sum Product Assessment (WASPAS) approach and the Rank Order Centroid (ROC) weighting method are the two methods used in this study to apply a decision support system to the challenge of selecting the best restaurant waiter. In this study, a number of factors, including appearance, responsibility, discipline, teamwork, high initiative, and multitasking skills, were taken into consideration in selecting the best restaurant servers. The W8 alternative, Ratih Setyowati with a value of 0.9341, which has the right to be chosen as the best restaurant waitress, is the result of a ranking to choose the best restaurant waitress with the highest preference after applying the WASPAS method and ROC weighting.
Waitress Resto Akul选择最好的方法是通过侵入中华民国
餐厅是一个为公众提供美食的地方,也有各种服务,让顾客在吃饭的时候有宾至如归的感觉。在食品行业,决定一家餐厅成功与否的因素之一是服务员的服务质量。在餐馆、咖啡馆、餐厅或酒店为顾客服务的员工被称为女服务员。这些人会在客户走进来的时候接近他们,为他们点单,给他们菜单,如果他们需要更多的东西,他们就会出现。因为它产生的数据可以用于行政决策,如晋升,培训,奖励和其他评估,选择最好的餐厅服务员是一个非常重要的管理过程。选择最佳餐厅服务员的障碍在于,由于数据量大,处理时间长,餐厅管理层很难做出最佳餐厅服务员的决定。本研究采用加权总和产品评估(WASPAS)方法和秩序质心(ROC)加权方法,将决策支持系统应用于选择最佳餐厅服务员的挑战。在这项研究中,在选择最好的餐厅服务员时,考虑了许多因素,包括外表、责任、纪律、团队合作、高度主动性和多任务处理技能。W8选项rah Setyowati的值为0.9341,有权被选为最佳餐厅服务员,这是应用WASPAS方法和ROC加权后,以最高偏好选择最佳餐厅服务员的排名结果。
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