The growth of the elderly in Indonesia in 2019 around 9.6% of the total population of Indonesia is a population of more than 60 years of age, of which 27.88% are elderly in the community. The problem of elderly health is an important aspect that will have an impact on the quality of life of the elderly. In 2019, there were about one in four elderly people suffering from pain in the past month. Lantera is a mobile application that can be used for the early detection of complaints experienced by the elderly can be done by volunteers to the community. This study aims to detect factors that influence the use of the Lantera application based on the UTAUT model. This study was conducted on 30 health volunteers who were in South Tangerang City area after using Lantera application for the detection of health problems of elderly in the community using a questionnaire that assesses four components on UTAUT models. Based on the Goodness fit model, it shows that the FIT value reaches .685. While based on the suitability test the structural model shows that the model is good with GFI value of .996 and .348 SRMR value. The negative effect that occurs on the user's habits factor against the use of a system (-.060), probably because the health volunteers not accustomed to using applications to detect health problems of the elderly. This problem can be overcome with the training and mentoring process and will then be re-evaluated after the health volunteers do it repeatedly for the next 6 months.