###### Abstract
This explains that there is a role for TRL measurement in the incubation process, so this research uses the TRL measurement framework in compiling a model for measuring the efficiency of the incubation process in universities. The goldsmith commercialization model can integrate technical aspects, market aspects, and business aspects to commercialize into a matrix of sequential, concurrent activities [4]. This research combines the goldsmith model and the TRL measurement framework to serve as indicators in compiling this research questionnaire. The questionnaire will be used as input in compiling a performance-efficiency measurement model. Several research models for measuring performance efficiency have been established. Researchers frequently employ Data Envelopment Analysis (DEA) to assess the level of performance efficiency. DEA is used to measure the efficiency of the decision of an activity unit in charge of converting several inputs into outputs. This method works by determining the efficient decision-making unit (DMU) based on input and output criteria and then calculating the relative efficiency of each DMU to the efficient DMU. Several previous studies have developed a DEA model for measuring performance efficiency. A DEA model assuming Variable Return to Scale (VRS) in the study was carried out [6]. The Robust Data Envelopment Analysis (RDEA) approach was used in research on a case study of technical efficiency from Indonesian high schools [7]. The application of the DEA model oriented to the output of CCR and BCC with the object of research in the food industry in Croatia [8]. It is different again in research [9] using a super slack-based DEA for the largest freight train research object in Russia. It can be seen that the application of the DEAmodel is quite widely used to measure the efficiency of performance in an environment or company. Thus, the DEA method is used in research to measure the efficiency of the incubation process in universities. Based on previous research exploring the effect of organizational identification (OID) on organizational innovativeness (OINN) in universities, the findings show that the OID has a positive impact on the ORTC and OINN [10]. According to [11], developing a work-integrated learning (WIL) model for university-society research collaboration can facilitate societal impact toward short lag yet sustainable societal impact for local innovation. According to [12], the capability to create and manage innovations is recognized as an important skill not only for entrepreneurial activities but also for the survival of organizations. According to [13], organizational strategists are considered critical in determining the success or failure of organizations. Recent research using the DEA method discusses Fuzzy DEA in the Tehran Stock Market [14] and Fuzzy Stochastic in the Presence of Undesirable Outputs [15]. In addition, there is also a MOLP and DEA study based on the output-oriented CCR dual model [16] and also a DEA cross-efficiency evaluation in a study [17]. From the explanation of this previous research, it is explained that, until 2020, the theme related to innovation continues to develop and is interesting to study from the side of industry, universities, or the government. In this study, the BCC model was chosen due to the assumption that an increase in the input value will result in an increase in the output value disproportionately or will vary. This means that an increase in input of x times does not necessarily result in an increase in output of x times as well, but can be smaller or larger. This assumption is called Variable Return to Scale (VRS). The orientation used in this study refers to the output orientation, because the purpose of this study is to maximize the output of TTO performance by using existing inputs. The limitation of this method is that statistically hypothesis testing for DEA is difficult to do, and it uses a separate linear programming formulation for each DMU (and manual calculations are difficult, especially for large-scale problems).