Learning skills models for children with special needs (ABK) in recent years have been widely developed. The model is oriented towards the development of self-help skills and vocational abilities (economic skills) so that ABK can achieve independence of adaptability. In addition to being able to serve coffee, a barista must have the skills to recognize, differentiate and compare types of coffee products. The purpose of this study is to develop supporting technologies in the formation of coffee sensory skills for deaf people. This type of research is developing supporting facilities in the form of array technology of sensory sensors as work electrodes, reference electrodes, data acquisition systems, and artificial intelligence (AI) systems that connect to computers or Android smartphones wirelessly. Technology trials were conducted on 20 deaf people under the auspices of the AORA special education and skills institute. The technology developed is tailored to the needs of various types of identical flavors in coffee such as bitter, salty, sour, sweet, and savory. The target of achieving RIIM's target product from this research activity is to create coffee sensory technology to support barista training for deaf people in AORA's special education and skills institutions. Research outputs other than appropriate technology, activity reports, product patents, tool use modules and reputable international journals.