Nolong.in: an android based incident notification application with push notification technology

In driving, the most important thing to be considered is safety. The incident problem can happen anytime and anywhere without anyone knowing it before, especially in Cikarang where the level of incident is quite high. It is very important for the public community to act and respond quickly at the time on and around the occurring incident. Nolong.in application is an exact solution because it can send real time notifications to its users. This response is meant to assist individuals who have been using Nolong.in to help other users who need urgent help when the time of incident in order to prevent unwanted situations. In this research, push notification method has been implemented by using Firebase Cloud Messaging (FCM). The result of the research is the notification click ratio is 90.91% and the click time is 1 minute and 27 seconds. Based on the questionnaires’ results given to the community conclude that Nolong.in application is very beneficial for Gojek Cikarang community's safety.

[1]  Qianting Liu.  The Usage of Microsoft Push Notification Service on Mobile Devices , 2011 .

[2]  Carl A. Gunter,et al.  Emergency Alerts as RSS Feeds with Interdomain Authorization , 2007, Second International Conference on Internet Monitoring and Protection (ICIMP 2007).

[3]  Paula Sullenger,et al.  Push Technology , 2000 .

[4]  R. Archanaa,et al.  An early detection-warning system to identify speed breakers and bumpy roads using sensors in smartphones , 2017 .

[5]  Jaehyun Park,et al.  Developing Elements of User Experience for Mobile Phones and Services: Survey, Interview, and Observation Approaches , 2013 .

[6]  Alireza Sahami Shirazi,et al.  Large-scale assessment of mobile notifications , 2014, CHI.

[7]  Harry Budi Santoso,et al.  Measuring User Experience of the Student-Centered e-Learning Environment , 2016 .

[8]  A. F. Kadmin,et al.  Implementation Of Algorithm For Vehicle Anti-Collision Alert System In FPGA , 2017 .

[9]  Dharmesh Shah,et al.  Real-Time Automatic Obstacle Detection and Alert System for Driver Assistance on Indian Roads , 2016 .

[10]  Dongmei Zhang,et al.  An Approach for Modeling and Analyzing Mobile Push Notification Services , 2014, 2014 IEEE International Conference on Services Computing.

[11]  S. Sarifah Radiah Shariff,et al.  Determining Hotspots of Road Accidents using Spatial Analysis , 2018 .

[12]  K. P. Vijayakumar,et al.  GPS & GSM Based Accident Detection And Auto Intimation , 2018, Indonesian Journal of Electrical Engineering and Computer Science.

[13]  Martin Schrepp,et al.  Construction and Evaluation of a User Experience Questionnaire , 2008, USAB.

[14]  Dimitrios Tzovaras,et al.  Mining traffic data for road incidents detection , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[15]  Laurence Moroney.  Firebase Cloud Messaging , 2017 .

[16]  Daniel Lechner,et al.  Towards a classification of road incidents acquired from public fleets ofvehicles , 2013 .

[17]  P. Nesi,et al.  Mobile Emergency, an Emergency Support System for Hospitals in Mobile Devices: Pilot Study , 2013, JMIR research protocols.