Gerakan Daya Wawasan (GDW) sebagai pemangkin pembinaan nilai-nilai proaktif, kreatif, inovatif dan cemerlang komuniti luar bandar di Malaysia

Kertas kerja ini melihat sejauhmanakah nilai-nilai proaktif, kreatif, inovatif dan cemerlang telah berjaya ditanamkan ke dalam komuniti luar bandar di Malaysia sejak Gerakan Desa Wawasan dilancarkan pada 4 hb Julai 1996. Matlamat Gerakan Desa Wawasan antara lain adalah untuk menimbulkan kesedaran bagi melakukan perubahan nilai, paradigma, sikap, amalan dan aspirasi di kalangan komuniti di luar bandar yang juga selari dengan matlamat Transformasi Kedua Pembangunan Luar Bandar dan Wawasan 2020. Lantaran itu Gerakan Daya Wawasan merupakan satu mekanisme penting bagi menyediakan komuniti luar bandar ke arah pencapaian Wawasan 2020 bagi membentuk komuniti luar bandar yang memiliki nilai-nilai proaktif, berdaya tahan, berinisiatif, berdikari, berilmu dan berdisiplin. Objektif Gerakan Daya Wawasan ialah bagi meningkatkan nilai berdikari di kalangan komuniti luar bandar dengan mengikis mentaliti subsidi, meningkatkan penglibatan masyarakat dalam pembangunan komuniti, meningkatkan keupayaan komuniti luar bandar untuk maju dan mampu menggunakan teknologi komunikasi dan maklumat (ICT). Menyedari betapa pentingnya Gerakan Desa Wawasan ini dalam pembangunan insan bagi membina komuniti luar bandar yang proaktif dan berdaya tahan dalam dunia yang serba mencabar hari ini menyebabkan kerajaan telah bersetuju menukar nama Gerakan Desa Wawasan kepada Gerakan Daya Wawasan bagi mempertegaskan usaha anjakan paradigma dan nilai di kalangan komuniti luar bandar

Simultaneous analysis of conductivity and concentration of saline solutions and sea water at microwave frequencies from dielectric investigation.

Prediction of conductivity and concentration of saline solutions and sea water are calculated from dielectric spectra at microwave frequencies of 2 GHz and 5 GHz respectively. The calculation is based on two different previously published empirical models relating to conductivity and concentration. An empirical relationship is established and is used to find corrected calculated conductivity and concentration. The expected results are verified with standard measurement where correlation coefficient of given is 0.98 and above. The data is useful as tools for quality indication of liquid samples

In search of Malay landscape design : characteristic and identification of traditional landscape at Sungai Perak / Mohd Khazli Aswad Khalid, Mohd Sabrizaa Abd Rashid and Ahmad Zamil Zakaria

Foreign landscape designs such as Balinese, Japanese and English style have a big influence on the local landscape design setting. Even after more than five decades of independence, most of the key and national level projects do not have a clear direction on the national landscape identity. Putrajaya itself for example, adopted foreign landscape design to develop the federal administrative centre of Malaysia. Furthermore, there is no understandable guideline in respect for national landscape identity or local characteristic by the Institute of Landscape Architects Malaysia (ILAM). Malay landscape design should become the main direction towards creating national identity. Moreover, Malay landscape design should be preserved as national heritage for future generations. This paper discusses an exploration that is undertaken to identify and establish the characteristics of Malay landscape design. The study includes observations on the characteristic and identity of Malay landscape design that is based on the functions and cultural community in Perak, at present. The objective of this study is to identify important elements and components in the establishment of Malay landscapes such as the types of vegetation and hardscapeat the old houses compound along Sungai Perak in Perak Tengah district. Eighteen (18) Kutai houses were selected as case study, using a quantitative method for the distribution of the components found in residential Malay house to determine the nature, function and overall similarity for each sample. At the end of the study, some characteristics could be obtained particularly Malay landscape to hardscape element and favorite vegetation that was found in the house compound. Result from this research can be used as a guide to design an appropriate Malay landscape which suits current lifestyle and also to introduce the identity of Malay landscape desig

A simple method to screen for azo-dye-degrading bacteria

A stab-culture method was adapted to screen for azo dyes-decolorizing bacteria from soil and water samples. Decolorized azo dye in the lower portion of the solid media indicates the presence of anaerobic azo dyes-decolorizing bacteria, while aerobic decolorizing bacteria decolorizes the surface portion of the solid media. Of twenty soil samples tested, one soil sample shows positive results for the decolourisation of two azo dyes; Biebrich scarlet (BS) and Direct blue 71 (DB) under anaerobic conditions. A gram negative and oxidase negative bacterial isolate was found to be the principal azo dyes degrader The isolate was identified by using the Biolog identification system as Serratia marcescens

Data Selection and Fuzzy-Rules Generation for Short-Term Load Forecasting Using ANFIS

Forecasting accuracy depends on data identification and model parameters. Volume of data and good analysis are the key factors that influence the accuracy of forecasting algorithm. This paper focused on data analysis with aim of determining the actual variables that affect the load consumption. Correlation analysis was used to determine how the load consumption is related to the forecasting variables (model inputs), and hypothesis test to justify the correlation coefficient of each variable. This produced tree different scenarios which ware used to forecast the load within short-term time frame. On the other hand, subtractive clustering and Fuzzy c-means (FCM) algorithms ware compared in fuzzy rules generation using Adaptive Neuro-Fuzzy Inference System (ANFIS) model, for short term electric load forecasting. Forecasting using Hypothesis test data with Subtractive clustering algorithm gave better accuracy compared to the other two approaches. But FCM algorithm is faster in all the three approaches. In conclusion, hypothesis test on the correlation coefficient of the data is a commendable practice for data selection and analysis in short-term load forecasting. Also, subtractive clustering algorithm is good in generating appropriate number of fuzzy rules, and the number depends on the number of input variables. Fuzzy c-means algorithm reduces the number of the rules irrespective of the number of input variables.

Classification Techniques In Blood Donors Sector – A Survey

This paper focuses on the classification and the recent trends associated with it. It presents a survey of the classification system and clarifies how classification and data mining are related both to each other. Classification is arranging the blood donor dataset into the predefined group and helpful to predict group membership for data instances. This enables users to search target donors become easier because the blood stocks always required replacing expired stocks after a certain period and useful in emergency demands such as surgery and blood transfusion. This paper has also sought to identify the research area in classification to fulfill gaps where further work can be carried on

Prediction of Damage Cost of Bronchitis Due to Haze in Malaysia

Awareness of haze pollution and management increased in Southeast Asia since 1990. However, the focus on environmental management is decreasing especially in Malaysia due to the abundant resources and increased development pressure. The total health damage cost because of haze in the country became significantly high due to the long duration of haze events year by year. This paper discusses the health damage caused by bronchitis due to the haze events in Malaysia. The analysis shows positive coefficient of independent variables which indicates the positive relationship between dependent variable and independent variables. Multiple linear regression analysis shows that 45.3% variation in damage cost of bronchitis could be explained by FAI, GDPPC, and CO2. Keywords: Health damage cost; environmental management; haze; Malaysia; prediction

An ANFIS approach for real power transfer allocation

This paper proposes an adaptive neurofuzzy interface system (ANFIS) approach to identify the real power transfer between generators. Based on solved load flow results, it first uses modified nodal equation method (MNE) to determine real power contribution from each generator to loads. Then the results of MNE method and load flow information are utilized to train the designed ANFIS. It also incorporated an enhanced feature extraction method called principle component analysis (PCA) to reduce the input features to the ANFIS. The 25-bus equivalent system of south Malaysia is utilized as a test system to illustrate the effectiveness of the ANFIS output compared to that of the MNE method. The ANFIS output provides promising results in terms of accuracy and computation time. Furthermore, it can be concluded that the ANFIS with enhanced feature extraction method reduces the time taken to train the ANFIS without affecting the accuracy of the results

On estimate of Malaysian mortality rates using interpolation methods

Life table is a table that shows mortality experience of a nation. However, in Malaysia, the information in this table is provided in the five-years age groups (abridged) instead of every one-year age. Hence, this study aims to estimate the one-year age mor- tality rates from the abridged mortality rates using several interpolation methods. We applied Kostaki method and the Akima spline method to five sets of Malaysian group mortality rates ranging from period of 2012 to 2016. The result were then compared with the one-year mortality rates. We found that the method by Akima is the best method for Malaysian mortality experience as it gives the least minimum of sum of square errors. The method does not only provide a good fit but also, shows a smooth mortality curve