Sharing Statistika Eps. Sumber Data

Summary

This video explains the various sources of data used by BPS (Statistics Indonesia). It covers four main data collection methods: censuses, surveys, administrative data compilation, and big data. The video highlights the three types of censuses conducted in Indonesia, the surveys like the National Social Economic Survey (Susenas), and how administrative data is compiled. It also touches on the challenges of working with big data due to its vast volume, speed, and variety. The video aims to provide a clear understanding of how BPS collects and processes data to serve national statistics.

Takeaways

• 😀 BPS (Statistics Indonesia) gathers data from three main sources: censuses, surveys, and administrative data compilations.
• 😀 Big data is increasingly used by BPS to adapt to modern times and developments in data collection methods.
• 😀 Census data is collected by counting all units in the population across Indonesia to gather population characteristics at a specific time.
• 😀 There are three types of censuses in Indonesia: Population Census (held every year ending in '0'), Agricultural Census (held every year ending in '3'), and Economic Census (held every year ending in '6').
• 😀 Surveys are conducted by sampling a subset of the population to estimate the characteristics of the larger population at a given point in time.
• 😀 Some major surveys conducted by BPS include the National Socio-Economic Survey (Susenas), Agricultural Survey between Censuses (Sutas), and the Consumer Price Index Survey.
• 😀 Administrative data compilation involves collecting, processing, and analyzing data from government or public records, such as export data and the number of hospitals.
• 😀 Big data is challenging to collect, store, and process with conventional statistical systems due to its high volume, speed, and variety of data sources.
• 😀 Sources of big data include social media, sensors, websites, satellites, and transaction records.
• 😀 The evolution of data collection methods ensures that BPS can keep pace with the technological advancements and the growing complexity of data.

Q & A

What are the main sources of data collected by BPS (Statistics Indonesia)?

BPS collects data from three main sources: 1) Census data, 2) Survey data, and 3) Administrative data compilation. Additionally, they use big data to adapt to the evolving needs of the times.

What is a census, and how is it conducted by BPS?

A census is a data collection method where all units of a population are counted and recorded to gather information about the population's characteristics at a specific time. BPS conducts censuses across all regions of Indonesia.

How often are different censuses carried out in Indonesia?

In Indonesia, there are three main censuses: the Population Census, which happens every year ending in '0'; the Agricultural Census, held every year ending in '3'; and the Economic Census, which takes place every year ending in '6'.

What are surveys, and how does BPS use them for data collection?

Surveys involve collecting data from a sample of the population to estimate the characteristics of the entire population. BPS conducts several surveys, including the National Social Economic Survey (Susenas), the Agricultural Survey between censuses (Sutas), and the Consumer Price Survey.

What is administrative data, and how is it used by BPS?

Administrative data is information collected through government or societal administrative records. BPS compiles and analyzes data such as export statistics and the number of hospitals, which are based on existing administrative records.

How does BPS incorporate big data into its operations?

Big data involves large volumes of fast-moving, varied data, and BPS uses it to enhance the accuracy of data collection. This data can come from sources like social media, sensors, websites, satellites, and transaction records.

Why is big data difficult to handle with traditional statistical systems?

Big data is challenging for conventional statistical systems due to its high volume, speed, and diversity. The data is generated from multiple sources and often requires specialized tools to process and analyze effectively.

What are some examples of big data sources that BPS might use?

Examples of big data sources include social media, sensor tools, websites, satellite images, and transaction records, all of which provide real-time, diverse data for analysis.

Why is it important for BPS to adapt to the use of big data?

As technology and data sources evolve, the use of big data helps BPS remain relevant and accurate in their data collection methods. It allows them to adapt to new trends and gather data that reflects modern conditions.

What was the main message of the video shared by BPS?

The main message of the video was to explain where BPS gets its data from—censuses, surveys, administrative data, and big data—and how these sources contribute to understanding the population and economy of Indonesia.