Analysis of Location Determination Using Wireless Signals at Low Range Using Third Order Polynomial Regression

Authors

  • Sutiyo Telkom University
  • Yogi Yudo PT Telkom, Indonesia

DOI:

https://doi.org/10.25134/ilkom.v20i1.509

Keywords:

Wireless, Polynomial, Location

Abstract

At short range, Location Determination Using Wireless Signals is considered a quite challenging problem. This paper discusses Location Determination Using Wireless Signals at short range with a Polynomial approach. The combination of retained independent effect of each component measure from Polynomial Regression and positioning in wireless fingerprinting produces a Polynomial that can provide good results for Location Determination Using Wireless Signals at short range. The measurement was conducted at Samas Beach Road, Yogyakarta, within a 0–100-meter range divided into 11 measurement points spaced every 10 meters. Validation results indicated that the third-order polynomial regression achieved a determination coefficient (R²) of 0.9982, confirming its high accuracy in representing the measured signal strength variations at short range

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Published

20-01-2026

How to Cite

Sutiyo, & Yudo, Y. (2026). Analysis of Location Determination Using Wireless Signals at Low Range Using Third Order Polynomial Regression. NUANSA INFORMATIKA, 20(1), 11–16. https://doi.org/10.25134/ilkom.v20i1.509