Designing Module E-Complaint System Based on Geotagging and Geofencing

Abstract

Abstract-The government initiative in the implementation of smart city concept is an effort in the management of a city. In the governance of a town, public service is one of the most important aspects. Improving public services requires public role because the society is the direct users of public services. One role of the community in improving public service is to provide information or complaint to the government. However, the media where the public reports such information has yet been optimum. Therefore, the researcher assumed that the public needs certain media as well as some support system where they can make complaints related to public service. The support system is in the form of e-complaint system installed on smartphones equipped with geotagging techniques to determine exactly where the complaint is made (location) and geofencing method to determine which territory the complaint belongs to. In this study, the researcher explained the process of designing module for geotagging and geofencing-based e-complaint system. Several experiments were conducted to find out the accuracy of these techniques. With 94% accuracy, geofencing was a suitable technique to apply. In addition, geotagging techniques using EXIF of a digital image was considered the most suitable technique for the e-complaint system rather than other geotagging techniques.

Peningkatan Akurasi Penanganan Pengaduan Pelayanan Publik Berbasis Lokasi Pelapor Menggunakan Geolokasi

“…Penerapan secara daring pun meluas, mulai dari pelaporan kekerasan [6], pengembangan system pelaporan cerdas [7], [8], penanganan sampah dan pengaduan berbasis IoT [9], bahkan berdasarkan penggunaan lokasi pelapor [10]. Beberapa peneliti mengajukan pendukung helpdesk untuk penanganan secara manual [11].…”

“…Dimana nantinya akan diketahui tentang keberadaan titik dengan metode raycasting. Setelah ujicoba akurasi dari teknik raycasting dilakukan, dapat diketahui bahwa metode ini memiliki akurasi sebesar 96%, terdapat peningkatan akurasi sebesar 2% dibanding penelitian sebelumnya [10]. Akurasi yang diperoleh tidak mencapai 100% karena kesulitan teknik raycasting dalam membedakan lokasi titik titik yang berada pada batas daerah polygon.…”

Smart-geofencing for system of reporting inadequate regional infrastructure using crossing and winding number

“…There have been several studies exploring the same topic as this current research. A study by Basid et al [13] became the kickoff in the development of the community complaint system which utilizes geotagging [7]. It explored the method of adding geographic information to the images of complaints sent by members of the community.…”

“…However, in this current research, the author uses two frequently-used methods to find out if a point is within the polygon, including crossing number (CN) and winding number (WN) [11]. Several other studies have pointed out that the computation rate resulted from the combination of the two methods is considerably faster than the raycasting one [13]. Therefore, the author considers the need to improve the geofence techniques for the reporting system for regional infrastructure damage.…”

PhotoStory: Mobile Application for Preserving Historical Heritage Using Timeline View

“…Although several applications have used crowdsourcing, for example, the ecomplaint system proposed by Basid [7], they have yet to specialize in historic preservation. It is hoped that the system developed will also be a reference for other researchers conducting similar research (which involves crowdsourcing).…”