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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control)
Mohd Nasir Taib
Universiti Teknologi MARA Shah Alam
Computer Science & IT Electrical & Electronics Engineering

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Intelligent grading of kaffir lime oil quality using non-linear support vector machine Nor Syahira Jak Jailani; Zuraida Muhammad; Mohd Hezri Fazalul Rahiman; Mohd Nasir Taib
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp6716-6723

Abstract

This paper presents kaffir lime oil quality grading using the intelligent system classification method, a non-linear support vector machine (NSVM). This method classifies the quality kaffir lime oil into two groups: high and low quality, based on their significant chemical compounds. The 90 data of kaffir lime oil were used in this project from high to low quality. The abundance (%) of significant chemical compounds will act as the input and high or low quality as an output. The 90 data will be divided into two sets: training and testing data sets with a ratio of 8:2. The radial basis function (RBF) optimization kernel parameters in NSVM. Using the implementation of MATLAB software version R2020a, all data and analysis work was performed automatically. The results showed that the NSVM model met all performance criteria for 100% accuracy, sensitivity, specificity, and precision.
Enhanced microwave absorption in partition walls using rice husk biomass composites Norhayati Mohamad Noor; Hasnain Abdullah@Idris; Mohd Nasir Taib; Nurin Sabihah Shamshul Bahari; Linda Mohd Kasim; Azizah Ahmad; Nazirah Mohamat Kasim; Noor Azila Ismail; Nur Shafikah Rosli
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 3: June 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i3.26706

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.
Co-Authors Azizah Ahmad Hasnain Abdullah@Idris Linda Mohd Kasim Mohd Hezri Fazalul Rahiman Nazirah Mohamat Kasim Noor Azila Ismail Nor Syahira Jak Jailani Norhayati Mohamad Noor Nur Shafikah Rosli Nurin Sabihah Shamshul Bahari Zuraida Muhammad