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Journal : Journal of Applied Computer Science and Technology (JACOST)

Perancangan Sistem Informasi Pengolahan Data Akademik Pada Pendidikan Anak Usia Dini Berbasis Website Fikastiana Cahya; Theresia Wati; Erly Krisnanik
Journal of Applied Computer Science and Technology Vol 2 No 1 (2021): Juni 2021
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v2i1.137

Abstract

The use of information technology, especially in education, is very important today, because almost all educational institutions use technology to support the performance of employees and teachers. Academic data processing in educational institutions, especially in early childhood education needs to be considered because currently in implementing student data processing is still done manually. Manual data collection is considered quite slow because it requires very high accuracy to reduce the occurrence of errors, duplication of data, and to maintain the accuracy of the data. Data recording and reports on ledgers often experience loss because each year the data continues to increase and it is difficult to find and require long student data. The solution to the problems that occur in early childhood education is to build a website-based academic data processing information system that can adjust to needs and overcome problems that occur. So, the purpose of this study is to design a website-based academic data processing information system to facilitate PAUD in processing student academic data. In developing this system using the prototype method and the programming language PHP. The results of the study show that the use of the prototype method is very helpful in the design process where it functions in the relationship between the user and the designer in order to know what is needed so that the application built will be appropriate and can function as a medium of information and communication to parents of students with schools and to help PAUD processing student data
Analisis Trafik Pengguna XL Axiata Jakarta Selama Pandemi Covid-19 dengan Menggunakan Metode Regresi Linier Diana Dyah Damayanti; Theresiawati; Kraugusteeliana
Journal of Applied Computer Science and Technology Vol 2 No 1 (2021): Juni 2021
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v2i1.158

Abstract

2020 is a very disturbing year for the whole world because in 2020 there is a deadly virus, the virus is called Covid-19. The Indonesian government has a strategy to deal with the Covid-19 virus, namely by implementing Large-Scale Social Restrictions (PSBB). Where the implementation of this PSBB requires residents to do more activities at home. To carry out activities at home, internet access is needed. Therefore, providers are the companies that benefit the most, providers are companies that provide internet services, one of which is XL Axiata. During the Covid-19 pandemic, XL Axiata company wants to conduct analysis for XL Axiata in the next year, whether the traffic of XL Axiata users has increased or decreased and how many devices need to be upgraded or safe. In conducting this analysis, it is necessary to perform fast data processing, data processing using the Data Mining method with Linear Regression techniques. The data to be processed will be obtained from the XL Axiata company, namely XL Axiata traffic data. By processing data using Linear Regression results in future predictions, the West Jakarta Municipality has increased per week by an average of 0.12%, the East Jakarta Municipality has decreased per week by an average of 0.27%, the Central Jakarta Municipality experiences the decline per week by an average of 2.31%, the South Jakarta Municipality experienced an increase per week by an average of 1.17%, and in the North Jakarta Municipality it decreased per week by an average of 0.12%.