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How to cite (IEEE):
L. Triyono, -. Prayitno, M. Rahaman, -. Sukamto, & A. Yobioktabera
"Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI," JOIV : International Journal on Informatics Visualization, vol. 6, no. 4, , pp. 829-834, Dec. 2022.
https://doi.org/10.30630/joiv.6.4.1528
How to cite (APA):
Triyono, L., Prayitno, -., Rahaman, M., Sukamto, -., & Yobioktabera, A.
(2022).
Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI.
JOIV : International Journal on Informatics Visualization, 6(4), 829-834.
https://doi.org/10.30630/joiv.6.4.1528
How to cite (Chicago):
Triyono, Liliek, Prayitno, -, Rahaman, Mosiur, Sukamto, -, AND Yobioktabera, Amran.
"Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI" JOIV : International Journal on Informatics Visualization [Online], Volume 6 Number 4 (31 December 2022)
https://doi.org/10.30630/joiv.6.4.1528
How to cite (Vancouver):
Triyono L, Prayitno -, Rahaman M, Sukamto -, & Yobioktabera A .
Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI.
JOIV : International Journal on Informatics Visualization [Online]. 2022 Dec;
6(4):829-834.
https://doi.org/10.30630/joiv.6.4.1528
How to cite (Harvard):
Triyono, L., Prayitno, -., Rahaman, M., Sukamto, -., & Yobioktabera, A.
,2022.
Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI.
JOIV : International Journal on Informatics Visualization, [Online] 6(4), pp. 829-834.
https://doi.org/10.30630/joiv.6.4.1528
How to cite (MLA8):
Triyono, Liliek, - Prayitno, Mosiur Rahaman, - Sukamto, & Amran Yobioktabera.
"Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI." JOIV : International Journal on Informatics Visualization [Online], 6.4 (2022): 829-834. Web. 3 Oct. 2023
, https://doi.org/10.30630/joiv.6.4.1528
BibTex Citation Data :
@article{JOIV1528,
author = {Liliek Triyono and - Prayitno and Mosiur Rahaman and - Sukamto and Amran Yobioktabera},
title = {Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {6},
number = {4},
year = {2022},
keywords = {Navigation; RSSI; positioning; smartphone; wireless technologies.},
abstract = {This study investigates a Wi-Fi-based indoor navigation system to determine building locations. The system was developed using the fingerprint method from the Received Signal Strength Indication (RSSI) of each Access Point (AP). The main components of a smartphone-based system use data from Wi-Fi and the Global Positioning System (GPS). The system developed for navigation is designed and implemented as an element of a dynamic, seamless mobility planning and building location route guidance application. Building map data is collected from Google Map data and enhanced by coloring the geographic location of buildings displayed on mobile devices. Navigational aids collected from sensors provide trip orientation and position updates. The approach of measuring the distance between known positions is compared to those displayed in the application with the haversine formula to measure the accuracy of the position displayed. A series of experiments were conducted in the Politeknik Negeri Semarang area, Indonesia. The experiment results showed that the Wi-Fi-based indoor positioning system was accurate within 7.050 meters of the error for that location, thus proving the system's usefulness for determining the location of buildings in the campus area. The measurement has not adopted the maximum APs placement for signal coverage and strength, only using the existing APs positions. The temperature nor humidity was neither measured in each area where the AP was installed, which is discussed later. This system can help visitors without asking, even though they have only visited once.},
issn = {2549-9904}, pages = {829--834}, doi = {10.30630/joiv.6.4.1528},
url = {https://joiv.org/index.php/joiv/article/view/1528}
}
Refworks Citation Data :
@article{{JOIV}{1528}, author = {Triyono, L., Prayitno, -., Rahaman, M., Sukamto, -., Yobioktabera, A.}, title = {Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {6}, number = {4}, year = {2022}, doi = {10.30630/joiv.6.4.1528}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.