SERVICE ROBOT, DISCRETE CHOICE MODEL, SIGNIFICANT ATTRIBUTE, ELASTICITY

• Main Author: Pratiwi Ferdianti Firdaus, Ezra
• Format: Theses
• Language: Indonesia
• Subjects: Manajemen umum
• Online Access: https://digilib.itb.ac.id/gdl/view/57331
• Institution: Institut Teknologi Bandung

The development of technology in the world is growing very rapidly. One of these technological developments is in the service robot industry. In Indonesia, the development of robots is increasing one of which is marked by the existence of campuses that make robots and participate in championships abroad. Telkom plans to enter a new industry, namely service robots. Of the various service robots that are already running on the market, Telkom will focus on Companion Robot. Companion Robots also vary, but in this study the author wants to examine three types of Companion Robots with different functions, namely Educational Robots, Personal Assistant Robots, and Entertaining Robots. The method used in this study is a discrete choice model. The discrete choice model method is used to understand and predict the choice of a decision maker from a discrete alternative from a set of choices. The choice set was made with the help of Ngene software with the Defficient design method and then made into a questionnaire and distributed. The results of the questionnaire were processed using Python-Biogeme software to look for significant attributes and then look for the elasticity of the significant attributes. Significant attributes of Companion Robot defined by T-test are basic robot look (3.86), battery life (5.45), robot's price (9.16), walking computer look (6.10), robot's weight (8.38). The suggested strategy of the three types of companion robots is to focus on the personal assistant robot with the highest T-test score by paying attention to the resources that the company already has.