When Big Data Becomes a Supporter of the Phenomenon

“Data is a new type of wealth for this nation. Now data is more valuable than oil. Therefore, data sovereignty must be realized. Citizens' rights to personal data must be protected. The regulations must be prepared immediately and there must be no compromise” (Excerpt from the speech of the President of the Republic of Indonesia, Joko Widodo in his State of the Union address, August 2019). Data has become an item that many people are starting to look at. Data is considered important in planning an activity, becomes a determinant in policy making and the basis for publicity. What was stated by the president in his speech became a whip for BPS to present quality data. BPS apart from being a data producer, its role in fostering literacy and statistical awareness is a determinant of the quality of the National Statistical System (SSN). Quality statistics are not only seen from accuracy, speed and up to date. There is another side where the statistical dimension must also be viewed in terms of time. The rapid development that goes with the times is in line with the need for a very rapid increase in data. In the millennial era, everyone can be a data producer. Each individual has a major contribution in producing very large data with the term "big data". Big data is data that is very large, fast and complex so that it is difficult or even impossible to process conventionally using traditional methods. Actually big data is so close to everyday life. Without us realizing it, every beat of our fingers per second on our smart phones and social media can create thousands of zettabytes of data every day. Comments, emoticons, conversations and statuses can be transformed into data with enormous volume, diversity, speed. Big data is an alternative and support for official statistics managed by BPS. Using certain techniques, big data is transformed into information that helps data users to gain a lot of insight. The development of big data combined with the disciplines of programming, machine learning and conventional statistics will become a more powerful and meaningful source of information. The use of big data has become popular since 2010. At that time, 1 terabyte of data could be processed in 3 hours at a speed of 100 megabytes per second. However, now with hadoop technology 1 terabyte of data can be processed in 2 minutes. Big data users are also from various parties. The era of the Covid-19 pandemic is an important moment for the health sector to take advantage of big data. With real time data, the number exposed to the corona virus can be seen at any time. The public can easily visit a special site for Covid-19 victims, see which areas have the largest distribution of Covid cases and the statistical movement of how many died and how many recovered. Other parties who take advantage of big data are retail business players. Using advanced technology they are able to study the market and changing consumer behavior. For example, consumers research the current menu topics they want, with the review “food hits in 2022”. When entrepreneurs seize this opportunity, they will create a food menu that suits the tastes of the market.

The era of digitalization has also penetrated the world of construction. The use of big data for construction development prioritizes a combination of voluntary and mandatory that is able to accelerate the physical development of roads and bridges. Also used sensor technology to be included in the new bridge which can provide continuous feedback on the current state of the structure. Big data from these sensors is able to help the design team to identify and solve problems before the bridge endangers the safety of the general public. BPS also does not want to be outdated. Through the deputy of Methodology and Statistical Information (MIS), BPS builds big data to support official statistics. The use of big data is realized in the form of data collection through crawling, scraping and retrieval of other sources from cellular operators or applications that care to protect. Crawling data retrieves data from the internet by accessing social media such as Facebook or Twitter. Meanwhile, scraping is more about extracting data through certain websites. Big data is also used by BPS to add to economic phenomena. Google trend or Google Mobility Index (GMI) is often used to see the movement of people's mobility. During the pandemic, the tightening of travel rules reduces mobility, along with the implementation of health protocols and massive vaccinations, the relaxation of PSBB and PPKM is carried out. This can be captured through big data technology. With the help of GMI, it is possible to observe trends in community movements. If retail & recreation in the GMI index label is already crowded, it is certain that the economy will begin to recover. In this case, there are 5 places in GMI whose movement can be measured, namely: residential & workplace, groceries & pharmacy, parks, retail & recreation and transit stations. Likewise, to see changes in the business of providing accommodation and eating and drinking. BPS captures a visualization of the movement of hotel and restaurant bookings. Is the trend increasing or decreasing? In this case, Big data is used to support the phenomenon of the crowded or sluggish hotel business. There are still many BPS activities that utilize big data, all of which can be accessed easily and for free at www.bigdata.bps.go.id retail&recreation. (Jambi/Intermediate data)