Siti Hajar Yusoff
International Islamic University Malaysia

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Journal : Bulletin of Electrical Engineering and Informatics

Classification of different types of metal from recyclable household waste for automatic waste separation system Siti Hajar Yusoff; Sazali Mahat; Nur Shahida Midi; Sarah Yasmin Mohamad; Syasya Azra Zaini
Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (944.738 KB) | DOI: 10.11591/eei.v8i2.1488

Abstract

Nowadays, solid waste has become a major problem in Malaysia. However, most people in Malaysia are not aware and take this problem for granted. The rising number of population and massive development in recent years indirectly generated an enormous value of household waste, making the household waste the main generator for solid waste in Malaysia. It stated that only 5 percent of an average 30,000 tons of waste have been recycled in Malaysia. The purpose of the paper is to design a system to separate the metal recyclable household waste automatically and record the data waste collected. There are total of four detectors used to separate the non-metal, steel, copper and aluminum metal waste. The average time used to complete metal separation process by using the proposed prototype is 14.5 seconds. This paper includes a mechanical part, programming part, an electronic design and also the data collected from this proposed system. The system will be programmed using Arduino Mega as a microcontroller to control all the electronic component in the system.
Long range channel characteristics through foliage Nurul Afifah Binti Masadan; Mohamed Hadi Habaebi; Siti Hajar Yusoff
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (861.181 KB) | DOI: 10.11591/eei.v8i3.1489

Abstract

Long Range Low Power Wide Area Network (LoRa LPWAN) technology is unique and remarkable technology because of its long-range coverage, low power consumption and low cost system architecture. These features have allowed Lora LPWAN to become a favorable option for performing communication in most of IoT wireless applications. In this paper, the foliage effect has been studied in terms of attenuation and its overall contribution to the path-loss and link budget calculations. Specifically, 5 tree types were studied and their contribution to the path loss were quantified for different path crossings (e.g., trunk, tree-top and branches). The trees are Licuala Grandis, Mimusops Elengi, Mangifera Indica, Cyrtostachys Renda and Livistona Chinensis. Mimusops Elengi tree gave the strongest mean foliage attenuation accumulating up to 20 dB, due to its big size and crown density. Trunks contribute even higher attenuation in comparison to tree-tops and branches. The Okumura/Hata, Log-normal shadowing and foliage models are used as references for this propagation models development in this paper. Our study showed that Okumura fails to capture the effect of foliage in an environment rich in trees and biodiversity. This demonstrates the need for considering the tropical environment where the characterization of foliage attenuation plays an important role in determining the propagation model path-loss and link budget needed for network design and planning.
Recyclable waste separation system based on material classification using weight and size of waste Nur Shahida Midi; Muhammad Aizat Rahmad; Siti Hajar Yusoff; Sarah Yasmin Mohamad
Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (906.185 KB) | DOI: 10.11591/eei.v8i2.1523

Abstract

Insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the community is still low. One of the possible reasons to this is lack of effort to categorize the waste into the designated category which are paper, glass, plastic and metal. In order to address this problem, it is important to design a system that will ease the process of categorizing the waste. This can be achieve by the automation of the said process. In this work, a system consist of an algorithm and hardware to automatically categorize recyclable waste is proposed. The proposed system are utilizing weight sensor and ultrasonic sensors in order to capture the characteristics of the waste item, which are weight and size so that it can be categorized into paper, glass, plastic and metal. Here, a sytem to automatically separate household waste item is presented by combining an algorithm with a set of hardware consist of minimal number of sensors, conveyer belt and servor motors.
Automatic household waste separation system based on resistance value and moisture content Nurul Nazihah Ahamad; Sarah Yasmin Mohamad; Nur Shahida Midi; Siti Hajar Yusoff; Faridah Abd Rahman
Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.204 KB) | DOI: 10.11591/eei.v8i2.1491

Abstract

In the new era of globalization, waste disposal has turned into an immense concern among the nation. Nowadays, almost every part of the world is confronting a huge issue of improper disposal, segregation and recycling solid waste. Due to rapid growth in economy, industrialization and urbanization, there is also a rapid increase of capacity and volume of solid waste. As a result, improper management of solid waste lead to disturbance to the environment and human health. In this paper, a fully automated waste separation system to discriminate residual and recyclable waste is proposed. The system is designed to focus on household waste, since household waste ranks the highest volume of waste among others. It is designed to separate household waste into recyclable and residual waste according to the materials’ state, which is dry and wet, by employing a moisture sensor to the waste separation system.