Digital libraries are another form of a library. The development of information technology brings changes to the form of libraries. The desire to provide library resources that are not limited by space and time also drives the rapid development of digital libraries. By utilizing a digital library-based information system, teachers can obtain appropriate and useful teaching materials. In Malang, so far digital books as a support for Javanese language learning are minimal, and it is not possible to duplicate them through conventional libraries because book financing is too expensive. This fact makes digital libraries a solution that can be built to bridge the shortage of teaching materials among Javanese teaching teachers. The method used in this research is the Technology Acceptance Model (TAM) method. From the results and discussion obtained problem-solving, database design, how the system works, and the display of the digital library system. The hope of this research is that the information system created can be applied to all Javanese MGMPs to support cheap, easy, and paperless information systems.

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The development of local culture-based learning is needed to support meaningful learning. Festival or competition-based learning systems are expected to increase the frequency of the learning process, enrich learning materials, and create a flexible and fun learning environment. The purpose of this study was to determine the implementation of festival-based learning in Javanese language subjects at SMK Negeri 3 Malang. The type of research applied is research and development. This research consists of three stages, namely a conceptual model, a hypothetical model, and an empirical model. The hypothetical model was tested on a small group scale to obtain an empirical model and an empirical model was tested in the field to obtain a festival-based learning model. The results showed that competition-based learning was considered good. This can be seen from several aspects of whether or not it is applied in SMK N 3 Malang, its application is a fun learning model, both in terms of readiness and supporting factors. competition-based learning can be recommended as a local culture-based learning model equipped with guided outreach and training.

Stochastic model checking is the extension and generalization of the classical model checking. Compared with classical model checking, stochastic model checking faces more severe state explosion problem, because it combines classical model checking algorithms and numerical methods for calculating probabilities. For dealing with this, we first apply symmetric assume-guarantee rule symmetric (SYM) for two-component systems and symmetric assume-guarantee rule for n-component systems into stochastic model checking in this paper, and propose a compositional stochastic model checking framework of probabilistic automata based on the NL * algorithm. It optimizes the existed compositional stochastic model checking process to draw a conclusion quickly, in cases the system model does not satisfy the quantitative properties. We implement the framework based on the PRISM tool, and several large cases are used to demonstrate the performance of it.