http://umt-ir.umt.edu.my:8080/handle/123456789/11312 Sun, 05 Apr 2026 16:57:29 GMT 2026-04-05T16:57:29Z http://umt-ir.umt.edu.my:8080/handle/123456789/16414 Title: ALGORITMA PENGECAMAN ERTI KATA PERKATAAN POLISEMI BAHASA MELAYU MENGGUNAKAN KAEDAH HIBRID Authors: MOHD ARIZAL SHAMSUL BIN MAT RIFIN Wed, 01 Jan 2020 00:00:00 GMT http://umt-ir.umt.edu.my:8080/handle/123456789/16414 2020-01-01T00:00:00Z http://umt-ir.umt.edu.my:8080/handle/123456789/11368 Title: Study on methylene blue dye removal by eco-friendly adsorbents produced from coastal plant casuarina equaisetifolia seeds Authors: Nor Atiera Nabila Ismail Abstract: Water is one of the precious sources to all living things and its consumption increases as human population increases. However, water becomes polluted by anthropogenic influences in domestic, agriculture, commercial and industrial sectors especially in batik industry which consumes a large amount of water. The high color of water discharge from batik effluent can reduce the light penetration to aquatic life. Color is also most notorious characteristics of dye wastewater and has a strong negative impact to aquatic life. Methylene Blue (MB) is a common pollutant material in textile wastewater and frequently used in textile industries especially. Therefore, this study was conducted to examine the potential of C. equisetifo/ia seeds treated p-toluene sulfonic acid monohydrate as an eco-friendly adsorbent to remove the color of MB by adsorption process. Fri, 01 Jan 2016 00:00:00 GMT http://umt-ir.umt.edu.my:8080/handle/123456789/11368 2016-01-01T00:00:00Z http://umt-ir.umt.edu.my:8080/handle/123456789/11367 Title: Production and optimization of activated carbon from waste orange peels using microwave pyrolysis Authors: Wong Yee Mun Abstract: Global production of oranges is massive due to the high consumer demands in orange fruit and its by-products. Over 40 % of the orange fruit is disposed as fruit waste after industrial processing, and this could decrease landfill capacity and create environmental pollution problems. Recent researches have discovered the potential of converting waste orange peels (WOP) into orange peel activated carbon (OPAC). Hence, the aim of this research is to optimize the production of activated carbon from WOP using response surface methodology. WOP will be carbonized at 700 W for 20 minutes using microwave pyrolysis. Next, the orange peel char (OPC) produced will be chemically activated using sodium hydroxide and potassium hydroxide via microwave pyrolysis, under different conditions. The chemical activation of OPC will be conducted with optimization of three parameters: microwave power (W) (x1), microwave irradiation time (min) (x2) and impregnation ratio between OPC and chemical (x3). The activated carbon produced from optimized operating parameter set has a high AC yield of97 %wt and an adsorption efficiency of 28.5 mg/g on removal of Malachite Green (MG) in water. All in all, the research is able to recycle WOP into useful material (activated carbon) for other applications. Fri, 01 Jan 2016 00:00:00 GMT http://umt-ir.umt.edu.my:8080/handle/123456789/11367 2016-01-01T00:00:00Z http://umt-ir.umt.edu.my:8080/handle/123456789/11366 Title: Forecasting of particulate matter (PM0) concentration by ultilizing PCR and MLR two different locations in Kelantan Authors: Wan Hafizah Wan Zakaria Abstract: Air quality is one of the most important indicators to evaluate the country's environment quality. However, the air pollution issue is rising due to the uncontrolled chemical gases release from the industrial area, burning of fossil fuels, forest fires and motor vehicles. One of the pollutants is PM10. PM1 o is the particulate matter that can be found in air which the aerodynamic diameter is less than 1 Oµm. PM10 is the major pollutant in Malaysia especially in Kelantan known to gives significant impact to human and environment. The aim of this study is to forecast daily average of PM 10 concentration by utilizing Principal Component Regression (PCR) and Multiple Linear Regression (MLR). This study focused on the trend of PM 10 concentration for 4 years starting on January 2011 until December 2014, select the significant factors that influence PM10 concentrations (meteorological and gaseous pollutant factors) and establish PM10 concentration by utilizing PCR and MLR. It was conducted at two sites in Kelantan which having different background activities of urban and industrial. Secondary data of PM1 o concentration, meteorological and also gaseous pollutants was acquired from Malaysian Department of Environment (DOE). Fri, 01 Jan 2016 00:00:00 GMT http://umt-ir.umt.edu.my:8080/handle/123456789/11366 2016-01-01T00:00:00Z