Digitalization has become the backbone of the advancement of modern human civilization. Today, digitalization has directed various aspects of daily activities toward an era of automation and seamless data accessibility. Almost every sector has been affected by the utilization of data through the implementation of the Internet of Things (IoT) and Artificial Intelligence (AI). In the digital era, the use of data has become a central foundation not only in the field of Information and Technology (IT).

The capacity of data has now gone beyond its traditional functions such as simple recording and archiving. Over time, the rapid development of software and hardware capable of managing information more effectively, along with advancements in technology and the construction of data structures, has accelerated significantly.

As time progresses, the complexity of data has increased considerably. With the rising volume of data today, the term “Big Data” has emerged.

Although literally translated as “large data,” Big Data actually refers to much more than the sheer volume of available information. According to Wibisono (2003), the implementation of Big Data refers to the ability to extract valuable insights from existing data clusters.

Therefore, the management of Big Data has become a primary focus in gaining substantial advantages. Big Data enables not only storage, but also the utilization and integration of data from various sources to be reanalyzed according to specific needs and preferences.

According to a journal from the Informatics Engineering Program at Universitas Dian Nusantara (UNDIRA), Big Data technology has now become a focal point due to its relatively vast potential applications. Through technological innovations, we have reached a point where the management and dissemination of data can be carried out with ease, supported by IoT connectivity, the development of more powerful hardware and software, and the role of Artificial Intelligence (AI).

As Pramono et al. (2020) explain, by leveraging AI-supported management and the massive, rapid dissemination of data through IoT, it becomes possible to identify patterns, trends, and fundamental needs aligned with individual preferences.

With regard to Big Data management, accurate and thorough handling can significantly improve multiple sectors. In the field of human resource management (HRM), Big Data powered by Machine Learning and AI can generate predictive models for decision-making based on each employee’s potential and data. Meanwhile, predictive learning is also increasingly applied in the economic sector, specifically in market analysis. Detailed Big Data processing allows for deeper market understanding and assists the public in formulating data-driven and well-structured strategies.

Thus, Big Data is not merely a collection of fragmented information; with proper management, it becomes the key to progress and a source of strategic decision-making across sectors. The integration of technologies such as AI, Machine Learning, and IoT further strengthens the role of Big Data as a foundation for intelligent and adaptive decision-making.

The Informatics Engineering Program at UNDIRA offers the best solutions for students to study and understand the potential of Big Data today. Through a curriculum emphasizing analytical applications using Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning, UNDIRA aims to prepare its students to become competent professionals, ready to face the challenges of the digital era and data utilization.

Source of Reference:

Geni, Bias Yulisa, et al. Penerapan Teknologi Big Data dalam Analisis Kebutuhan Tenaga Kerja dan Perencanaan Suksesi Organisasi. Universitas Dian Nusantara, 2024. Edusaintek. 

(Danang Respati Wicaksono / Humas UNDIRA)