Information security incidents have increased in number and become more diverse and destructive and disrupt service availability. An incident management system is needed to detect and handle information security incidents quickly, minimize losses, reduce exploited vulnerabilities and restore infrastructure, including services. An incident management system needs to be managed with a Security Operations Center (SOC). The use of tacit knowledge has been shown to help accelerate problem-solving in SOC better than experience by adopting strategies that have been used previously. The application of knowledge management in SOC has become a basic need. An organization's ability to manage existing knowledge is a necessary strength to be able to survive in the face of incessant cyber-attacks. This study aims to examine the process of capturing tacit in SOC so that it can be used to analyze and deal with cyber threats and to lay the foundation for implicit knowledge management in organizations to increase the efficiency of work methods and processes responding to incidents efficiently and systematically.

In the Covid-19 pandemic, wearing a mask has become the obligation of Indonesian citizen,for outdoor and indoor.  Public awareness of wearing masks when leaving the house according to the government's appeal is still low.  This can be seen from the many people who do not wear masks while on the public place or in other place.  Technology that can help increase public awareness of using masks is a mask detection application.  The application to detect use of masks is made using Artificial Intelligence and uses machine learning methods from a tool that will read every use of masks on the face automatically, either using masks appropriately, using inappropriate masks or not using masks. The method used in this research is to use the Research and Development method, namely research that can produce a product. Based on the test results using masks with facial motifs, there are different results from the two samples tested depending on the quality of the image on the mask Yolo (You Only Look Once) is an object detection system in real time.  Darknet is an open source neural network framework written in the C and CUDA programming languages.  The Jetson Nano is a System On Module (SoM) and developer kit from the Nvidia Jetson family.

Storage via the cloud is very necessary which is carried out in this research can be used as a basis for research at PT. Indocode technology has a problem where the problem is that the process of storing and sharing data on storage media via the cloud can be used both on internal and external networks. Implementing cloud-based storage greatly simplifies the process of sharing files with employees or the board of directors to be able to filter which data can be accessed by all employees and limited needs.. The server is designed using the Owncloud application which aims to support the process of information or data transactions with commissioners, directors and employees using owncloud, so that the data transfer process no longer uses external storage from the internet or other physical storage media. In addition, the use of owncloud for enterprises is very helpful because it is easy to use and the file sharing capabilities can be adjusted according to the user's permissions and can be accessed anywhere and anytime.

The impact of fires causes quite large losses, often even causing fatalities. The method used in the system is monitoring the fire sensor which is used to detect a fire, the buzzer as a notification output in the form of sound, and the water pump as a fire extinguisher which will function after the fire sensor is on. detecting the presence of fire. to detect fire in realtime and 9 in the event of a fire with a research and development. Monitoring approach on fire sensors used to detect the presence of fire, buzzers as output notifications in the form of sound, and water pumps as a tool to extinguish fires which will function after the fire sensor detect the presence of fire.

This study aims to analyze the factors that influence the success of startups in helping the government increase economic growth during the Covid-19 pandemic. The Covid-19 pandemic had significantly impacted the economy, including Indonesia. Therefore, a solution is needed to improve the Indonesian economy. The variables in this study are "Strategy", "Innovation", "Experience", "Economic Growth", and as an intermediate variable, "Startup Success". Two hundred seventeen valid respondents are online business owners who answered the questionnaire correctly through online social media. To test the validity and reliability of the data received, SPES 25.0 software was used, which was then analyzed by Structural Equation Model (SEM) using Amos 23.0 software. The results of statistical data processing show that the strategy of business actors affects success in doing business and affects economic growth but has nothing to do with experience and innovation. The findings of this study have implications for the importance of strategy in dealing with future business to be achieved and successful. The advantage of this research lies in the data collected from questionnaires for Startup owners who experienced business conditions during the Covid-19 pandemic to post-pandemic. The contribution of this research is how startups must prepare business strategies to be successful so that they participate in economic improvement and improvement after the Covid-19 pandemic.