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JOURNAL OF ICT APLICATIONS AND SYSTEM
Published by STKIP Rokania
ISSN : 28301404     EISSN : 2830098X     DOI : https://doi.org/10.56313/jictas
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The Journal of ICT Applications System is a scientific journal that presents original articles on computer science research. This journal is a means of publication and a place to share research and development work in the field of computers. Loading of articles in this journal is done through submit. Complete information for article loading and article writing instructions are available in each issue. Articles submitted will go through a selection process for bestari partners and/or editors. Journal of ICTAplication System is published 2 times a year, in June and December Journal of ICTAplication System Registered at PDII LIPI with Print ISSN number 2830-1404 and Online ISSN 2830-098X For practitioners, academics, teachers and students in the field of computer science who want articles on research results and ideas to be published in this journal via submit
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol 2 No 2 (2023): Journal of ICT Aplications and System" : 6 Documents clear
Visualization of Covid-19 Data in Indonesia in 2022 through the Google Data Studio Dashboard Putra, Wahyu Eka; Yanto, Budi; Erwis, Fauzi
JOURNAL OF ICT APLICATIONS AND SYSTEM Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.238

Abstract

The COVID-19 pandemic has presented significant challenges to governments, researchers and the general public in understanding and monitoring the spread of this disease. In an effort to analyse the spread of COVID-19 disease in Indonesia effectively, this study uses Google Data Studio as a tool for data visualization and better understanding. This review is based on collecting data on the spread of COVID-19 disease in Indonesia which has been collected from various reliable sources. , including the World Health Organization (WHO) and national health agencies. This data is then processed and processed using Google Data Studio to produce informative visualizations. The results of the study show that Google Data Studio can be used effectively to analyse the spread of the COVID-19 disease in Indonesia. Through the use of available features, such as interactive graphs, maps, and tables, researchers can easily describe patterns of disease spread, infection rates, and recovery rates from an area or country. The quality of data collected from different sources may vary, and this can affect the accuracy and reliability of the resulting visualizations. Elements of the Scorecard that displays some important information related to the Covid-19 pandemic from 1 January 2019 to 31 January 2022. Information regarding the Covid-19 displayed on the Scorecard is as follows. The total survivors of the Covid-19 disease are 3,234,336,858 people. This indicates the number of people who have successfully recovered and recovered from infection with the Covid-19 virus during the period in question. The total number of deaths due to Covid-19 is 89,398,496 people. This reflects the number of people who died due to complications caused by the Covid-19 virus in that period.
Effectiveness of Using Digital Technology-Based Learning Media in Increasing Student Motivation at State Elementary School 012 Ujung Batu III Rokan Hulu Wahyudi, Sri; Lubis , Adyanata; Jufri; Chandra, Detri Amelia
Journal of ICT Applications System Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.269

Abstract

This research aims to explore the effectiveness of using technology-based digital learning media, particularly video media, in enhancing students' motivation in religious education in the fourth grade of SDN 012 Ujung Batu III. The research method used was direct observation with a qualitative approach. The results of the research indicate that the use of video media in religious education is effective in increasing interest, active participation, and an engaging learning environment. In the context of religious education in the fourth grade of SDN 012 Ujung Batu III, the use of technology-based digital learning media has a significant positive impact on students' motivation and learning achievement. The recommendations of this research emphasize the importance of teachers using video media and interactive learning methods to maintain student motivation and create an interesting and inspiring learning environment.
Application of Open Street Maps Technology for Android-Based Blood Donation Applications Zulkifli, Ahmad
Journal of ICT Applications System Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.273

Abstract

Blood donation is a person's voluntary giving of blood for the purpose and purpose of blood transfusion for other people in need. These activities must be carried out by parties who are authorized and competent in their fields so that they can run and bring the expected benefits. PMI Kampar Regency through the Blood Donation Unit (UDD) in carrying out blood donation activities still uses traditional systems so it is less effective and efficient. Many people find it difficult to get information about blood donation schedules, donor data and also the latest blood stock. Based on these problems, a Blood Donation Application with Android-based Open Street Maps technology is needed. This research uses the Waterfall method by analyzing needs, designing the system, installing, testing and ending with operation. In collecting data, the author also conducted field observations, interviews and literature studies from various supporting books and previous research. This application was built based on Android using the Java programming language and MySQL database as data storage. This application must use GPS (Global Positioning System) to track the coordinates of the user's location
Data Visualization Using Google Data Studio: A Case Study of the 2019 Presidential Indonesia Election Results Bangkit Habiburrohman; Yanto, Budi; Muhammad Arif
Journal of ICT Applications System Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.396

Abstract

The 2019 Indonesian Presidential Election generated a significant amount of data requiring effective visualization for analysis and comprehension. This study demonstrates the application of Google Data Studio, a data visualization tool, for creating interactive dashboards based on election results. The dataset was sourced from the official Bureau of Statistics and processed to produce visualizations such as scorecards, bar charts, and pie charts, facilitating detailed insights into regional and candidate-specific voting patterns. The methodology includes data collection, processing, and visualization to construct a comprehensive dashboard. The findings illustrate the potential of Google Data Studio in enhancing data interpretability and decision-making through interactive visual representations. This research provides a practical guide for leveraging Google Data Studio in electoral data analysis
Projection and Visualization of Health Worker Data in Indonesia (2015–2017) Using Google Looker Studio Prasiwiningrum, Elyandri
Journal of ICT Applications System Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.398

Abstract

Projection of health worker data in Indonesia during 2015–2017 highlights the need for efficient workforce planning to address rising healthcare demands. This study examines the distribution and projection of ten healthcare professions, including nurses, midwives, pharmacists, and general practitioners, using Google Looker Studio for visualization. Secondary data analysis was utilized to process information obtained from credible sources, ensuring relevance and accuracy. The challenge lies in understanding workforce disparities and predicting future needs to optimize hospital operations effectively. Google Looker Studio was employed to create interactive dashboards, simplifying data interpretation and enhancing decision-making capabilities. Results indicate a continuous increase in healthcare personnel over time, with 2,172 professionals recorded during the observed period. Visualization provides insights into workload distribution and the adequacy of healthcare workers across regions. This research offers a scalable solution for projecting workforce trends and supports long-term healthcare planning in Indonesia
Visualization of Sales Danalyser Data in Dashboard Form Google Data Studio Agung Surya Maulana; yanto, Budi Yanto; Fauzi Erwis
Journal of ICT Applications System Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.270

Abstract

In the business sector, the use of information technology is used as a means of supporting company performance. Data visualization is the answer to simplifying complex data into a graphical format so that it is easier to understand the business. Managing sales data is an important process that must be carried out by companies. With good data management, companies get more value. This added value includes information supporting decision making, in order to increase the efficiency and effectiveness of company operations. This research uses data on sales of goods obtained from the internet, namely 69 data. The research was carried out with the help of Google Data Studio tools for creating dashboards. The results obtained are that there are several elements that help make it easier to read information, namely scorecard elements, Pie Chart elements, bar chart elements, geographic diagram elements, and table elements. The Scorecard element displays total income, average price of goods, total items sold, and total buyers. In the Pie Chart, the product insight is displayed in percent, the items that sell best are P010. The bar chart element displays total sales for each month, the highest sales were in August 2021. The geographic diagram element displays the distribution of sales to various countries. The table element displays insight information on price cuts or discounts.

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