COVID-19 is a virus causing pneumonia, also known as Corona Virus Disease. The first outbreak was found in Wuhan, China, in the province of Hubei on December 2019. The objective of this paper is to predict the death and infected COVID-19 in Indonesia using Savitzky Golay Smoothing and Long Short Term Memory Neural Network model (LSTM-NN). The dataset is obtained from Humanitarian Data Exchange (HDX), containing daily information on death and infected due to COVID-19. In Indonesia, the total data collected ranges from 2 March 2020 and by 26 July 2020, with a total of 147 records. The results of these two models are compared to determine the best fitted model. The curve of LSTM-NN shows an increase in death and infected cases and the Time Series also increases, however the smoothing shows a tendency to decrease. In conclusion, LSTM-NN prediction produce better result than the Savitzky Golay Smoothing. The LSTM-NN prediction shows a distinct rise and align with the actual Time Series data.

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University operational activities are a routine part of university operations and supervisory control and monitoring function. The low controlling and monitoring of operational activities can cause irrelevance in the teaching and learning process. A graduate may have a graduation document but has never attended the teaching and learning process. An official institution can issue this graduation document, but it is fake because no teachinglearning activity occurred. It happens because the data is easily being manipulated and changed in the current system. From the problem, this is what drives this research to be carried out. With the characteristics of distributed, secure, and traceable information, Blockchain will solve this problem. Based on a previous study, blockchain technology facilitates university operational activities so that it will solve the current problems. This research uses qualitative research methods. The research process starts with literature studies and forum group discussions conducted on nine universities in Indonesia (public and private universities). This study used the User-Centered Design Technique. This research focuses on the user, so the results possibly are applied. The research results prove that Blockchain technology can record student attendance as part of the graduation process's teaching and learning process. Blockchain's immutable, unchangeable, and distributed characteristics will ensure the student attendance record's validity in the teaching and learning process.