Based on data on routine maintenance records for Indonesian Commuter Trains from 2015 - 2017, it is known that the number of realized train availability levels is still below the company’s standards and targets. In addition, there is a potential risk of a backlog or train queues that are not handled properly in overhaul maintenance which is increasing yearly. The main objective of this research is to measure the technological capability of the routine maintenance of the Indonesian Commuter Train which is located at Dipo Depok. The method used in this paper is the Technometrics model approach which will produce a Technology Contribution Coefficient (TCC) value. The method describes the level of technology applied by routine maintenance of TCC obtained by identifying and assessing the technological components of Technoware (tool facilities), Humanware (HR), Infoware (information), and Orgaware (organization) involved in the routine maintenance operation process of commuter trains by measuring the Degree of Sophistication, State of the Art (SOTA) and Contribution Assessment, as well as the intensity of the contribution of technology components using an Analytical Hierarchy Process (AHP). The results of this study identified 11 operating processes in maintenance activities. The SOTA values are T = 0.3857, H = 0.7750, I = 0.7111 and O = 0.633, with the contribution value being 0.4190, 0.6059, 0.5667 and 0.5862, and the contribution intensity is 0.301, 0.438, 0.132 and 0.030. Therefore, the TCC value for routine maintenance of Indonesian Commuter Trains with a value of 0.5 (TCC 0.3 ≤ TCC≤ 0.5) is categorized as low. With these results, the priority order of technology component development is humanware, technology, orgaware and infoware.

The tourism industry is important and strategic in the implementation of development in Indonesia because it is able to bring in large amounts of foreign exchange for the country. Tourist satisfaction is met will have an impact on the emergence of revisit interest (Revisit Intention), as a spontaneous response to the object of visitors because the expression of satisfaction felt during the initial visit is appropriate and even exceeds expectations. This research aims to be able to find ways and strategies to increase Revisit Intention for tourists, so that methods are found that can be recommended to interested parties through research on the variables that affect Revisit Intention, such as Promotion, Servicescape, Destination Image and Perceived Values. This research was conducted in the Kepulauan Seribu tourism destination in DKI-Jakarta with a total of 400 samples, using the Random Sampling. The research method used SEM with the LISREL program. The results of the research obtained the following data, such as (1) There is an effect Promotion on Revisit Intention (β = 0.62); (2) There is an effect Servicescape on Revisit Intention; (3) There is no effect of Destination Image on Revisit Intention (β = 0.21 ); (4) There is an effect Promotion on Perceived Value  (β =- 0.21); (5) There is an influence Servicescape on Perceived Value (        ); (6) There is no influence of Destination Image on Perceived Value (β =-0.14); and (7) There is an effect of Perceived Value on Revisit Intention (β = 0.0552).