Aziah Khamis
Universiti Teknikal Malaysia Melaka

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Performance of double chamber microbial fuel cell: effect of waste water, electrode thickness and distance Aziah Khamis; Nur Diana Nordin; Mohamad Hafiszi Mokhtar
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp619-626

Abstract

This paper presents the performance evaluation of a double chamber microbial fuel cell (MFC) to obtain the maximum amount of power production. Previous works have shown that the performance of a double chamber MFC varies depending on the design of the MFC and the type of waste water. Therefore, various MFC tests were conducted to obtain the maximum amount of power production by varying the distance of electrodes and thickness of the electrode. The types of water were also varied (i.e., fertilizer water, lake water, and soil water) to highlight the effect of the expected different amount of microbes. The experimental results demonstrated that the thicker anode (0.6 cm) and the shorter distances between electrodes (15 cm) showed higher amount of power production in all the three types of waste water. Furthermore, the fertilizer water generated a higher amount of power compared to the soil and lake water.
Individual student key performance using mobile web apps based on knowledge profile and cumulative grade point average Aziah Khamis; Muhammad Suhaizan Sulong; Nur Ilyana Anwar Apandi; Azrita Alias
International Journal of Evaluation and Research in Education (IJERE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v12i3.25003

Abstract

This study investigated the performance of individual students toward the knowledge profile and cumulative grade point average or known as CGPA. The proposal of this paper involves two major components. The first component is investigating the individual student performance based on the knowledge profile and CGPA. The performance of students from cohort 2017 for the program Bachelor of Electrical Engineering (BEKG) courses in the Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka (UTeM) was used as the dataset. The case study separates into various groups (excellent, honors and pass). Secondly, the study proposed a responsive web application leveraging a Google Visualization Feature to self-check individual academic performance. The goal of this app is to assist users in evaluating individual student performance and assist management in planning for continual quality improvement using the web and mobile apps. The marketing segments include students, academics, university, and school administration for analysis and evaluate the individual student’s performance.