Data collection has become a necessity today, especially since many sources of data on the internet can be used for various needs. The main activity in data collection is collecting quality information that can be analyzed and used to support decisions or provide evidence. The process of retrieving data from the internet is also known as web scraping. There are various methods of web scraping that are commonly used. The amount of data scattered on the internet will be quite time-consuming if the web scraping is done on a large scale. By applying the parallel concept, the multi-processing approach can help complete a job. This study aimed to determine the performance of the web scraping method with the application of multi-processing. Testing is done by doing the process of scraping data from a predetermined target web. Four web scraping methods: CSS Selector, HTML DOM, Regex, and XPath, were selected to be used in the experiment measured based on the parameters of CPU usage, memory usage, execution time, and bandwidth usage. Based on experimental data, the Regex method has the least CPU and memory usage compared to other methods. While XPath requires the least time compared to other methods. The CSS Selector method is the smallest in terms of bandwidth usage compared to other methods. The application of multi-processing techniques to each web scraping method is proven to save memory usage, reduce execution time and reduce bandwidth usage compared to only using single processing.

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There has been studied of the rock physics modelling in sand reservoir based on Voigt-Reuss and cement contact theory method case study at FRR field Kutai Basin. The objective of this study to modelling rock physics based on Voigt-Reuss and cement contact theory from geological information. Voigt-Reuss bounds model and cement contact was applied. This method related link between geological information and seismic properties. The data used in FRR field Kutai basin has the sandstone majority marked by 20 % P wave velocity. The results obtained by rock physics modelling shown modulus bulk to porosity has pattern close to lower bounds, that is existence the pore type has soft characterize and decrease bulk modulus with increase clay content and fluid saturation. The results show correlation between bulk modulus estimation and log data have good correlation. This suggests that Voigt-Reuss and cement contact theory model useful for bulk modulus estimation in sand reservoir