The study aims to investigate the analysis of student metacognition skill in solving the rainbow connection problem under the implementation of the research-based learning model. The method used in this study is a mixed method. The research subjects were the 4th semester of students of higher education consisting of 30 students of experimental class and 45 students of the control class. The instruments of this research are a test, an observation, and an interview. Quantitative method is applied to analyze the difference of student achievement result among two classes, while the qualitative method is applied to analysis the students' metacognitive skills. The results show that there are significant differences between the two classes that applied research-based learning and conventional learning models. The conventional model refers to student-centered learning of Think-Pair-Shares (TPS) model. The statistical result indicates that the (2-tailed) significance of the independent sample t-test in the pre-test was 0.000 or α ≤ 0.05. It implies that the implementation of RBL significantly affects the students' metacognition skill in solving the rainbow connection problem.

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Of the several benefits of cryptographic techniques is data authentication. Before the digital era, signatures were used as a means to prove the authenticity of printed documents such as letters, certificates, certificates, books and so on. Documents that do not have a signature will be doubtful for their authenticity. One of the characteristics of these signatures is that all the signature patterns are the same, so this situation can easily be manipulated with signature forgery, if the related parties use a different signature on each document that is signed it will also have an impact on changing doubts on the parties who are signed. reserves the right to verify. To overcome the need, documents should be given a digital signature. The intended digital signature is not a manual signature that is scanned and then embedded in a digital document. Digital signatures will be built from cryptographic techniques. In this study, the signature that will be used is a signature with a combination of a hash function algorithm and a web-based public-key cryptography. The methods used are the MD5 algorithm and Paillier Cryptosystem. Paillier cryposystem is a public-key cryptographic algorithm which is believed to be difficult to attack because it uses n-residue class calculations so that it will be very difficult to find the key pair used, this is known as the Composite Residuosity (CR) assumption.