TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 23, No 3: June 2025

Enhanced microwave absorption in partition walls using rice husk biomass composites

Norhayati Mohamad Noor (Universiti Teknologi MARA Cawangan Pulau Pinang)
Hasnain Abdullah@Idris (Universiti Teknologi MARA Cawangan Pulau Pinang)
Mohd Nasir Taib (Universiti Teknologi MARA Shah Alam)
Nurin Sabihah Shamshul Bahari (Universiti Teknologi MARA Cawangan Pulau Pinang)
Linda Mohd Kasim (Universiti Teknologi MARA Cawangan Pulau Pinang)
Azizah Ahmad (Universiti Teknologi MARA Cawangan Pulau Pinang)
Nazirah Mohamat Kasim (Universiti Teknologi MARA Cawangan Pulau Pinang)
Noor Azila Ismail (Universiti Teknologi MARA Cawangan Pulau Pinang)
Nur Shafikah Rosli (Universiti Teknologi MARA Cawangan Pulau Pinang)



Article Info

Publish Date
01 Jun 2025

Abstract

Currently, electromagnetic pollution (EM) has shown adverse complications and resulted in very negative effects on human health. Therefore, developing efficient microwave absorbers to reduce EM is important. This study aims to produce an anti-microwave partition wall using a biomass composite, which is a combination of rice husk and palm oil fuel ash (POFA). The goal of this project is to produce a partition wall that can act as a microwave absorber and create a healthy and safe environment. The anti-microwave radiation partition wall is designed using rice husk, POFA, cement, water, aluminium, and gypsum board. The composition ratios tested were rice husk content (5% and 20%) and POFA content (25%, 35%, and 45%). This mixture is also supplemented with aluminum (0.5% and 3.0%). The Naval Research Laboratory (NRL) Arch free space method determines the reflectivity performance of anti-microwave partition walls in the frequency range from 1 GHz to 12 GHz. Observation shows that the anti-microwave radiation partition wall for prototype BR5 containing 5% rice husk, 25% POFA, and 0.5% aluminium has the best reflectivity performance.

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Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...