The standard of living in the Society 4.0 era has evolved into massive metadata. Undeniably, the world now revolves around the existence of data as a justifiable form of accountability. Besides being accurate, data also plays a crucial role in supporting information. When someone reads the necessary data, they obtain substantial information according to the required search.

Time is essential in life management, so obtaining quick and accurate information is paramount in Society 4.0. With the abundance of information sources needed and data frequently updated every second, data storage is required to achieve quick information retrieval, especially in the context of work or research that is very time-sensitive. Moreover, data mapping is also needed to ensure that information retrieval is done correctly, so the information obtained is relevant to the search.

To achieve maximum productivity, it is necessary to have proper data distribution to avoid centralization that burdens the main system. Network architecture is the solution for optimizing data distribution. Network architecture includes security measures to protect data during transmission, such as encryption, firewalls, and intrusion detection systems (IDS). With guaranteed data distribution, it can be ensured that the distributed data remains secure and not accessed by unauthorized parties.

Network architecture also plays a role in facilitating data accessibility, allowing for the prioritization of more important or time-sensitive data. Integration of collaboration platforms such as Google Workspace can support team cooperation and real-time information sharing, enhancing accessibility and productivity for all data users.

Additionally, to facilitate data accessibility, data mapping is also required to ensure that the obtained information meets the criteria. Data modeling enables the creation of data models used to describe the structure and relationships between data in a system or database. This process involves data analysis and design to ensure data is organized logically, efficiently, and is easily accessible. Data modeling can be applied in various examples, from system query inputs (SQL) in inventory data collection, archival data documentation, to programming.

To enhance mastery and prepare competent students in facing Society 4.0 and 5.0, Universitas Dian Nusantara (UNDIRA) continues to promote knowledge-based and science-based education. UNDIRA's Informatics Engineering study program emphasizes the development of database management skills as well as mastery of software algorithms, which are highly sought after, especially in the 4.0 and 5.0 eras. Additionally, through webinars and guest lectures, such as the one titled "Advancing IT Infrastructure: Network Optimization, Database Management, Security, and Emerging Technology Trends," UNDIRA continues to provide the best and most reliable knowledge.

In the era of Society 4.0, which is filled with massive data, the role of network architecture in informatics systems becomes very crucial. Data not only serves as accurate evidence but also supports the information needed by users to make precise and quick decisions. With efficient and timely access to information, we can optimize time management, which is essential in the modern world. Therefore, network architecture not only forms the foundation for efficient and secure data distribution but also becomes a vital pillar in advancing science and technology for societal welfare.

By understanding the importance of network architecture, especially for people with high mobility and usage for tech such as students and lecturers can be more prudent in managing and optimizing data to achieve maximum results.