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Articles by Anwar Fitrianto
Total Records ( 4 ) for Anwar Fitrianto
  Bonaventura Ngarawula and Anwar Fitrianto
  Studies of nationalism in understanding the relationship between state and citizens in general, showed that it is a construction which has been built by the most dominant external forces that is the power of the state or government. No studies discussed specifically about the existence of local values, customs and religion which are the most essential element in understanding nationalism. In this research which took a case study in the village Peniwen and we found that the understanding nationalism in local community of village Peniwen, through the proposition can be formulated as follows: the values that emerge through the local customs, habits and religion is the most elementary and essential elements in understanding local kominitas nationalism, life in harmony and peace, unity which has been developed in the local community and union tool in the context of pluralism and if the can be maintained well and not on state intervention will be the truest spirit of nationalism and the role of government will be synergical when the direction of the local values, customs and religions are valid and will be biased if the opposite is true.
  Heyvon Herdhayinta , Grahita Chandrarin , Sumiyana and Anwar Fitrianto
  The study investigates board diversity and its influence on financial performance. The main purpose is to examine influence of nationality and gender diversity on financial performance according to Tobin’s Q of 50 largest Asia-Pacific companies according to Forbes magazine. Data analysis is performed using Ordinary Least Square (OLS) and Two-Stage Least Square (2SLS) regressions analysis. The results show that gender diversity of board member has positive influence on financial performance. It is found that having female member in board of director provides various perspectives in decision making and leads to better financial performance. However, nationality of board member contributes no significant influence on financial performance. In addition, it is also emphasized that an economic objective should not be the only reason for increasing board diversity.
  Leong Jin Hoong , Ong Keat Khim , Wan Md Zin Wan Yunus , Anwar Fitrianto , Teoh Chin Chuang , Abdul Ghapor Hussin , Mansor Ahmad and Siti Aminah Mohd Noor
  Colorimetric method is one of the common methods used for the environmental monitoring of Arsenic on-site. However, the results that are mainly based on interpretation of the operator are less accurate and reliable. This study describes a more reliable approach to determine Arsenic (V) concentrations whereby an image processing technique is incorporated into a colorimetric method. In this approach, Arsenic (V) concentrations are quantitatively determined by digitized the color formed by the reaction of arsine gas generated from the ion with silver ion impregnated on the filter study. Multiple regression analysis is used to develop a mathematical model to analyze Arsenic (V) concentration by Minitab software. Validation of the developed mathematical model is performed by evaluating the model with the data from the Arsenic (V) standard solutions. The developed mathematical model to determine Arsenic (V) concentration is: Arsenic (V) concentration = 916-2.19 Red -2.30 Green -1.667 Blue. The correlation between the calculated Arsenic (V) and known Arsenic (V) concentration was high (R2 = 0.9997). The results also revealed that relative bias (0.2 to 3.8%) and relative standard deviation (0.2 to 2.7%) of calculated Arsenic (V) concentrations are low. The accuracy of the Arsenic (V) concentration estimation by the model is between 96 to 99%. It can be concluded that the developed mathematical model is able to estimate the Arsenic (V) concentration accurately and precisely.
  Soleha Mohamat Yusuff , Ong Keat Khim , Wan Mad Zin Wan Yunus , Jahwarhar Izuan Abdul Rashid , Anwar Fitrianto , Mansor Ahmad , Nor Azowa Ibrahim , Syed Mohd Shafiq Syed Ahmad and Chin Chuang Teoh
  Dewatered alum sludge from drinking water treatment plants was exploited as carbon dioxide (CO2) adsorbent in a fixed-bed (CO2)lumn system. In this study, the effects of 6 parameters including particle size of adsorbent, heat treatment of adsorbent, adsorbents dosage, adsorption temperature, flow rate of adsorbate and (CO2) ncentration on the fixed-bed adsorption of (CO2) were investigated using Response Surface Methodology 2 2 (RSM). The experimental data was successfully fitted with the regression model to identify the significant parameters and predict the optimum value parameters for maximizing (CO2) adsorption capacity. Analysis of 2 Variance (ANOVA) revealed that (CO2) ncentration was the most significant factor influenced the (CO2) adsorption capacity. The experimental data of (CO2) adsorption capacity were in a good agreement with the 2 predicted data from the regression model. The highest fixed-bed (CO2) adsorption capacity of 10.028 mmol.g 2 –1 (441.24 mg.g–1) was achieved using 1 g of 450-500 μm of 800°C thermally treated alum sludge at (CO2) ncentration of 8000 mg.L–1 with a flow rate of 90 mL.min–1 at 25°C. The results suggested that thermally treated alum sludge is a promising solid adsorbent for (CO2) capture.
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