Blockchain turns both currencies and commodities into a digital form without relying on middleman which allows one person to trade with another include trading the renewable energy. Blockchain technology as a secure and low-cost platform to track the billions of eventual transactions in a distributed energy economy has attracted the attention of experts in various fields of science. The current form of centralized energy trading system is still suffering from security concerns, quality of service, and to name a few. A decentralized energy system using blockchain technology allows the parties to create a trading energy transaction via microgrid. The blockchain technology offers the promise of an immutable, single source of truth from multiple sources without a third-party involvement. In this paper, we describe, explore and analyze the prominent implementation of blockchain technology in the energy sector. Furthermore, we analyze the security issues and highlight the performance of several attacks that might be occurred in the proposed system.
Making lecture schedules is a complicated matter because it involves many parties and resources. In order to arrange the schedule optimally, a method is needed that can produce the best optimization value. In this paper, we will discuss the comparison of Genetic Algorithms and Particle Swarm Optimization to design lecture schedules. Once implemented, then comparative analysis of the results of the course scheduling process is carried out by comparing the fitness value and execution speed of the two algorithms. The results showed that in the 25th iteration the Genetic algorithm succeeded in compiling a lecture schedule with the best fitness value of 0.021 and 9.36 second execution time compared to the PSO algorithm which produced a fitness value of 0.099 and execution time of 61.95 seconds in the same iteration. This proves that the PSO fitness value outperforms the Genetic Algorithm, but the Genetic Algorithm execution time is faster than the PSO algorithm.
As a country that has its language, English is an international language that needs to be mastered. Until now, the mastery of English in Indonesian on an international scale is in a low category. Learning English should be taught to children from an early age. For children with special needs, special learning methods are needed so that the material is conveyed. Educational games can be used as an interesting learning media. In this study, an English educational game was created that had the concepts of a quiz, rearrange, and matching. Fisher-Yates algorithm was applied to randomize the questions so that the questions that came out varied. Fuzzy Sugeno algorithm is also applied to the scoring calculation, with input variables of time, value, and the number of stars obtained. The system test outcomes show that the application of the Fisher-Yates algorithm was successful because every question that came out was randomized. The application of the Fuzzy Sugeno algorithm happened also successful because of the high degree of accuracy. Besides, the use of games shows there is an increase in student understanding as evidenced by the acquisition of grades. The results of the average value in doing the test is from 80.41 to 88.3 after playing the game.
Makharijul huruf is the place of the letter hijaiyah (Arabic letters) from alif to ya. If someone mistakes in reciting a letter on al-Qur’an then the meaning of the word or sentence may be different from the meaning of the original word. Few learning media that provides information about makharijul huruf such as school academic books, books of tajwid al-Qur’an, etc. However, to make terms of visual and audio clearer we can use augmented reality technology as a learning media. Augmented reality for makharijul huruf requires a marker of hijaiyah in printing form. Tracking marker in this research using Natural Feature Tracking (NFT) method. In the application of learning this makharijul huruf will produce a 3D object visualization of the oral organs and audio sounds hijaiyah letters and explanations about makharijul huruf. The results of black box testing and beta testing states that this application can be accepted by users by obtaining a percentage of 91%. It can be concluded that applications built functionally have produced results as expected.
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