基于渐进式web app的Gunungkidul文化潜能应用开发及性能分析

P. Setialana, Muhammad Nurwidya Ardiansyah, Nova Suparmanto
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引用次数: 2

摘要

Gunungkidul具有丰富的文化潜力,是旅游胜地。为了方便游客访问和获取旅游目的地信息,一些研究人员开发了一个基于移动应用程序的信息系统。然而,移动应用程序有一些缺点,比如用户必须安装应用程序,并且只能在特定的操作系统上使用。此次研究的目的是开发并分析以先进的网络应用程序(app)为基础的、不需要安装应用程序就可以使用、可以在所有操作系统(os)上运行的有关Gunungkidul文化潜力的应用程序。应用程序开发方法使用Scrum和Ionic框架作为应用程序的框架。性能分析方法在运行时性能(加载、脚本、渲染、绘画、系统)和内存使用(最小JS堆和最大JS堆)上使用Chrome Developer Tools进行了30次测试。开发结果表明,该应用程序具有7个特征,即:(1)Peta;(2)悠久;(3) Daerah;(4)迦迦布达亚;(5) Kuliner;(6) Seni Adat Tradisi;(7)议程。运行时性能和内存使用测试结果显示(1)加载:33.60 ms;(2)脚本:1069.20 ms;(3)渲染:84.90 ms;(4)绘画:22.33;(5)系统:429.67 ms;(6)最小JS堆:8.05 MB;(8)最大JS堆:19.51 MB。
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Development and performance analysis of the Gunungkidul cultural potential application based on progressive web apps
Gunungkidul has various cultural potentials that make it a tourist destination. To make it easier for tourists to visit and get tourist destination information, several researchers developed a mobile application-based information system. However, mobile applications have several drawbacks as such as the user must install the application and can only be used on specific operating systems. The purpose of this research is to develop and analyze applications regarding the potential of Gunungkidul culture based on progressive web apps and which can be used without having to install applications and can run in all operating systems. The application development method uses Scrum and Ionic Framework as a framework for the application. The performance analysis method was tested on runtime performance (loading, scripting, rendering, painting, system) and memory usage (min JS Heap and max JS Heap) by using Chrome Developer Tools for 30 tests. The results of the development show that there are 7 features in the application, namely (1) Peta; (2) Geoheritage; (3) Daerah; (4) Cagar Budaya; (5) Kuliner; (6) Seni Adat Tradisi; (7) Agenda. Runtime performance and memory usage test results show the average value on aspects (1) Loading: 33.60 ms; (2) Scripting: 1069.20 ms; (3) Rendering: 84.90 ms; (4) Painting: 22.33; (5) System: 429.67 ms; (6) Min JS Heap: 8.05 MB; and (8) Max JS Heap: 19.51 MB.
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