5 th International Seminar of Research Month 2020 Volume 2021 http://dx.doi.org/10.11594/nstp.2021.0914 How to cite: Putra, A. B., Mukaromah, S., Oding, M.R.R., & Anam, M.R.R. (2021). Techniques display data in a visual database programming language. 5 th International Seminar of Research Month 2020. NST Proceedings. pages 93-99. doi: 10.11594/ nstp.2021.0914 Conference Paper Techniques Display Data in A Visual Database Programming Language Agung Brastama Putra*, Siti Mukaromah, Mohamad Riza Ramadhani Oding, Muhammad Rizky Rahmatul Anam Department of Information Systems, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia *Corresponding author: ABSTRACT Many techniques of presenting information in programming languages, mainly for data that amounts to less than 100 record data. Moreover, if the data has reached more than 10,000 data, application performance will slow down. This has several factors, one of which is the process or the way data is presented by the code/algorithm in a programming language. The purpose of this paper is to show the effects of comparisons of code/algorithms in pre- senting data, expected outcome of this comparison of code/algorithm is to demonstrate increasing code/algorithm can present data faster. Keywords: Desktop programming, visual database, display data, visual pro- gramming E-mail: agungbp.si@upnjatim.ac.id Introduction Science programming is increasing and evolving. Similarly, visualizing data pro-cessed by the result of the application pro-cess, using drill-down or and what-if analy-sis (Putra et al., 2019; Putra et al., 2019; Putra et al., 2020). Programming is a basic skill in computer science; logical thinking is needed to solve problems. In another paper, data collection was carried out by inter- view (Mukaromah et al., 2018; 2020). In software requirements, data is an important item be- cause it is used by an analyst for describes and views all relationships of objects and information (Pressman, 2010). Several software development articles use data or track information contained in databases with a limited amount of data. (Nugroho & Putra, 2016; Priambodo et al., 2017) or using a data dummy. This can im-pact the outcomes of software development implementation, the implication is that if you use less than 1000 records of data, then the application or program does not look at any difference in terms of the data pro-cessing capacity of the application, the data display process, and the overall application performance. Performance testing is used to detect performance issues that could arise from a lack of server- side resources, insufficient network capacity, insufficient database ca-pacities, and defective or weak operating system capacities, poorly built web or desk-top application features, and other prob-lems with hardware or software that can lead to reduced performance of the client-server. The aim is two namely: (1) to under-stand how the system reacts as loading in-creases (i.e., num- ber of users, number of transactions, or total volume of data) and (2) to collect metrics that will lead to per-formance improvement design changes (Pressman, 2010). Based on the above, this paper provides creation and input on how to show data over 5000 data track records with the ap-propriate algorithm and will be compared to displaying data below 100, the result ob-tained is the speed at which data above 5000 records/data line is displayed. The first experiment uses data that is less than 100 rows of information in this paper using two experiments, and the volume of data above 5000 is used for the second experiment.