Implementation of Progressive Web App-Based Applications for Vehicle Tracking Systems

被引:0
|
作者
Hasanuddin, Muhammad Ogin [1 ]
Arham, Andaru Purwarangga [1 ]
Prakoso, Gotawa Aryo [1 ]
Hermanto, Beni Rio [1 ]
机构
[1] Inst Teknol Bandung, Sch Elect Engn & Informat, Bandung, Indonesia
关键词
Interface; Progressive Web App; Maps; Car Owner; Provider;
D O I
10.1109/ICSET57543.2022.10010767
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The user has to be able to see the information from the server with ease, so the device's information sent from the server has to be easily accessed by the user. The application has to be made so that users across all platforms can easily access the application. Developing an application that can be accessed on all platforms can make the time to make the app a lot less consuming. Nowadays, web application development has supported web pages with capabilities close to natively developed applications. Progressive Web App, commonly known as PWA, allows for the integration of web-based applications with native applications. PWA is a web application that can enable native applications, especially in developing multi-platform applications that can be accessed by various platforms. In this project, the PWA application was developed in the form of a vehicle-based supporting device that can monitor car location from Internet-of-Things (IoT) devices and prevent an attempt to steal the vehicle. Two interfaces will be made in this project for the car's owner and the police. The car owner can access the car location, and the police can also access it when the car owner makes a report. The police interface is made so that it can track the stolen car with a legal approach. The car owner can access the web application and then change the desired device mode so that when there is a theft indication car owner can report it to the police, and the police can investigate it. The result of this implementation is that the user, who is a car owner and police, can both access the location visualization in the interface, and the interface can be accessed on all platforms.
引用
收藏
页码:6 / 12
页数:7
相关论文
共 50 条
  • [21] App-Based Tracking of Self-Reported COVID-19 Symptoms: Analysis of Questionnaire Data
    Zens, Martin
    Brammertz, Arne
    Herpich, Juliane
    Suedkamp, Norbert
    Hinterseer, Martin
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (09)
  • [22] A Literature Review to Identify Effective Web- and App-Based mHealth Interventions for Stress Management at Work
    Egger, Selina Marita
    Frey, Sara
    Sauerzopf, Lena
    Meidert, Ursula
    [J]. WORKPLACE HEALTH & SAFETY, 2023, 71 (10) : 452 - 463
  • [23] Real time web based vehicle tracking using GPS
    Muruganandham, P.R. Mukesh
    [J]. World Academy of Science, Engineering and Technology, 2010, 37 : 91 - 99
  • [24] IMPLEMENTATION AND PRELIMINARY FINDINGS OF FERTIQOL, A FERTILITY QUALITY OF LIFE TOOL, VIA AN APP-BASED FERTILITY SERVICE
    Steyn, Francesca
    Da Silva, Kelly M.
    Owen, Julie Anne
    Dunn, Chantel
    Yates, Emily
    [J]. FERTILITY AND STERILITY, 2023, 120 (04) : E106 - E106
  • [25] Design and Implementation of Vehicle Tracking System Based on Depth Learning
    Zhao, Yali
    [J]. ICAIP 2018: 2018 THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN IMAGE PROCESSING, 2018, : 138 - 143
  • [26] "FUNNY, I LIKE TRACKING MY FOOD AND I HATE TRACKING MY FOOD!" PERSPECTIVES ON AN APP-BASED DASHTRIAL FOR HYPERTENSION MANAGEMENT
    Trefney, Elizabeth
    Berger, Miriam B.
    Askew, Sandy
    Miller, Hailey N.
    Parnell, Heather E.
    Bennett, Gary G.
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2024, 58 : S171 - S171
  • [27] REVERSE VEHICLE TRACKING METHOD IN HOSPITAL PARKING LOT BASED ON MOBILE APP
    Zhu, D. J.
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2016, 119 : 56 - 56
  • [28] Assessing the Impact of App-Based Ride Share Systems in an Urban Context: Findings from Austin
    Komanduri, Anurag
    Wafa, Zeina
    Proussaloglou, Kimon
    Jacobs, Simon
    [J]. TRANSPORTATION RESEARCH RECORD, 2018, 2672 (07) : 34 - 46
  • [29] The association of COVID-19 vaccination and menstrual health: A period-tracking app-based cohort study
    Ramaiyer, Malini
    El Sabeh, Malak
    Zhu, Jiafeng
    Shea, Amanda
    Segev, Dorry
    Yenokyan, Gayane
    Borahay, Mostafa A.
    [J]. VACCINE: X, 2024, 19
  • [30] App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning
    Dantas, Leila F.
    Peres, Igor T.
    Bastos, Leonardo S. L.
    Marchesi, Janaina F.
    de Souza, Guilherme F. G.
    Gelli, Joao Gabriel M.
    Baiao, Fernanda A.
    Macaira, Paula
    Hamacher, Silvio
    Bozza, Fernando A.
    [J]. PLOS ONE, 2021, 16 (03):