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Contact Name
Rahmat Azis Nabawi
Contact Email
raazna@ft.unp.ac.id
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+6281277328670
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raazna@ft.unp.ac.id
Editorial Address
Patenggangan Street, Number B 2, Block Monang, RT.007/RW.03, Air Tawar Barat, Padang Utara, Padang, Sumatera Barat, Indonesia
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Kota padang,
Sumatera barat
INDONESIA
Journal of Computer-based Instructional Media
ISSN : -     EISSN : 30264596     DOI : https://doi.org/10.58712/jcim
The Journal of Computer-based Instructional Media aims to publish research results on Decision Science (miscellaneous) and Computer-based Instructional Media from researchers and lecturers worldwide. The editorial contents and elements that comprise the journal include theoretical articles, empirical studies, case studies, and systematic literature reviews. It welcomes all contributions to the latest innovations and developments within the following coverages Mobile technology innovation, Informatic engineering, and Augmented and Virtual Reality.
Articles 1 Documents
Search results for , issue "Vol. 4 No. 1 (2026): Regular Issue" : 1 Documents clear
Analysis of received signal strength in indoor environment of telecommunication system Mon, Myint Myint; Aye, Mya Mya; Win, Lei Lei Yin
Journal of Computer-based Instructional Media Vol. 4 No. 1 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v4i1.155

Abstract

To improve the performance of wireless communications in indoor environment, it is important to optimize the signal quality by reducing the error rate between the received signal strength based on experimental data and estimating data. Due to the complexity of modern building layouts and construction materials, estimating signal strength values based on these structural elements is challenging. The aim of this paper is to analyse received signal strength of the specific area by using the path loss exponent model of ray tracing techniques. In indoor environments, modelling radio wave propagation involves estimating the received signal strength at various points based on the layout and geometry of the space. This study involved three placements of 1.8 GHz AAU5940 Wall Mounted transmitters at height with 11.12 m and at different distances with 44.81 m, 95.4 m, and 108.2 m of specific receiver building. The Received Signal Strength Indicator (RSSI) readings are typically recorded to analyse and understand the ray tracing technique characteristics in a wireless communication environment. This paper presents analytical results of some practical experiments that help to build an optimized signal quality for indoor environment using mathematical modelling with the help of MATLAB software.

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