Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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PELAKSANAAN NILAI AL-BIRR DAN ITQAN MEMPENGARUHI TINGKAHLAKU PENJAWAT AWAM SUPAYA LEBIH CEMERLANG DAN BERETIKA (THE IMPLEMENTATION OF AL- BIRR AND ITQAN VALUES INFLUENCE THE BEHAVIOR OF CIVIL SERVANTS TO BE MORE EXCELLENT AND ETHICAL)
Abstrak:Kefahaman terhadap nilai dan etika kerja sangat penting dalam menentukan arah dan memberi makna kepada pemikiran, tindakan serta perilaku penjawat awam dalam memenuhi tanggungjawab dengan ikhlas dan berdedikasi. Etika kerja ini memainkan peranan yang penting dalam organisasi dan menjadi panduan tingkah laku serta elemen perubahan sikap ke arah yang lebih baik. Pekerja yang berdisiplin tinggi akan memastikan setiap kerja dilaksanakan dengan baik meskipun tiada pengawasan terhadapnya. Beberapa konsep etika kerja yang sering diulang-ulang dalam al-Quran yang mempunyai hubungan rapat dengan kerja cemerlang adalah taqwa, amal saleh, al-Birr, al-Qist, ihsan, masuliyah, ma’ruf dan Itqan. Justeru itu, kajian ini dilakukan untuk mengenalpasti kesan pelaksanaan Etika kerja Islam yang memfokus kepada konsep al-Birr dan itqan terhadap tingkahlaku penjawat awam dalam mencapai kecemerlangan bekerja. Kajian ini menggunakan tiga kaedah penyelidikan iaitu kajian ke perpustakaan, temubual pakar dan soalselidik. Temubual telah diadakan dengan pegawai dari Suruhanjaya Pencegahan Rasuah Malaysia (SPRM), Pegawai dari Jabatan Audit Negara dan beberapa orang pensyarah dari Fakulti Tamadun Islam UTM. Manakala soal selidik telah diedarkan kepada 356 orang penjawat awam negeri Johor. Hasil kajian mendapati bahawa nilai al-Birr dan itqan mempengaruhi tingkahlaku penjawat awam dalam melaksanakan pekerjaan. Al-Birr adalah berhubung rapat dengan sifat bertolak ansur, inovasi, kebaikan, bermusyawarah dan bekerjasama. Nilai itqan pula adalah merujuk kepada ketekunan, kecekapan kerja, berdisiplin dan melaksanakan tugas dengan penuh komitmen. Nilai-nilai yang terkandung dalam al-Birr dan itqan ini akan melahirkan penjawat awam yang sentiasa mementingkan kebaikan, kesungguhan dan kecemerlangan dalam pekerjaan. Kata kunci: al-Birr, itqan, tingkahlaku penjawat awam, etika kerja Islam, kerja cemerlang dan beretikaAbstract:Understanding the value and work ethic is crucial in determining the direction and meaning of the thoughts, actions, and behavior of the civil servant in fulfilling his responsibilities with sincerity and dedication. This work ethic plays an important role in the organization and serves as a guide for behavior and an element of attitude change for the better. Highly disciplined employees will ensure that every job is performed well without any supervision. Some of the concepts of work ethic that are often repeated in the Qur'an which are closely linked to excellence are taqwa, ihsan, al-Birr, al-Qist, amal saleh, masuliyyah, ma'ruf and itqan. Therefore, this study aimed to identify the impact of implementing Islamic work ethics that focuses on al-Birr and itqan concepts on the behavior of civil servants to achieve excellence in work.This study uses three research methods: library research, expert interviews and research. Interviews were held with officials from the Malaysian Anti-Corruption Commission (MACC), officials from the National Audit Department and several lecturers from the UTM Islamic Civilization faculty. While the questionnaire was distributed to 356 Johor civil servants. The results show that al-Birr and itqan values influence the behavior of civil servants in performing their jobs. Al-Birr is closely associated with tolerance, innovation, kindness, consultation, and cooperation. The value of itqan is to refer to perseverance, work efficiency, discipline and commitment. The values embodied in al-Birr and itqan will produce civil servants who are always concerned about the good, the seriousness and the excellence of the work.Keywords: al-Birr, itqan, the behavior of civil servants , Islamic work ethics, excellence of the wor
Risk Identification And Analysis Of Precast Concrete Structure Based On Work Breakdown Structure-Risk Breakdown Structure
Because the prefabricated building started late in China, and subject to management and technical restrictions, the safety problems during the construction of the prefabricated building have not been solved effectively. In view of the problems of complex environments in precast concrete structure and many influencing factors which makes the construction risks are difficult to identify. The work breakdown structure (WBS) - risk breakdown structure (RBS) method is introduced to solve the problem. By means of analyzing the investigation data of the prefabricated building accidents, its risks during construction are identified and coupled. Then the judgment matrix is obtained and the corresponding risk factors can be established. In the meanwhile, the fault tree analysis method has been being used to analyze the sensitivity of three kinds of accidents, such as falling, striking by object and electrocution. The sensitive coefficients of risk factors are calculated and sorted. The result shows that the main risk factors of falling accident are verticality deviation of component installation, deviation of component position and unsecured mechanics. The main risk factors of striking by object/equipment are insufficient strength of components supporting, overturning components and unreasonable of suspension point. The main risk factors of electrocution are improper welding operation and short circuit. Finally, corresponding control measures are put forward according to the risk accidents. The research results provided a good theoretical basis for the risk identification of prefabricated building construction
Solar Radiation Estimation For Modelling High Performance Photovoltaic System Designs
Estimation of solar radiation levels involves various techniques such as using data obtained from weather stations, commercial softwares, and mathematical models which cover a wide range of forms within. The limited number of weather stations as well as the cost of required equipment result in higher interest in taking advantage of estimation models due to their time and cost efficiency. However, such models heavily depend on the characteristics of the specific region to be analyzed. Geographic and climatic conditions make significant differences in terms of model accuracy. This study involves model selection for two cities in the third climatic region of Turkey and calculating the solar radiation characteristics both on horizontal and inclined surfaces. The obtained results carry the potential of serving as an integral part of constructing country-wide model for solar radiation estimation
EFFECTS OF DIFFERENT PRE-TREATMENTS ON THE PERFORMANCE OF KENAF FIBER REINFORCED ALUMINUM LAMINATES SANDWICH COMPOSITE
Fiber metal laminate (FML) offers some superior mechanical properties as compared to either conventional polymer composites or high strength monolithic aluminum. Treatment of individual elements of composites is one of the effective methods to improve the performance of composites. This study focuses on the effects of different pre-treatments of fiber and metal sheet to the performance of metal laminate composite containing kenaf reinforced epoxy as the core composite. The kenaf fibers and aluminum sheet underwent different types of treatment to improve the interfacial adhesion. The results showed that the composites with surface roughened aluminum sheets gave higher values of flexural strength than those with alodine treated aluminum sheets. However, composites with alodine treated aluminum showed the highest impact strength, contributed by interfacial delamination as a result of less firm adhesion between Al sheet and composite core. The fiber metal laminate sandwich composites also showed improvement in water resistance as compared to the kenaf fiber reinforced composite, particularly those with alkaline treated fibers. In conclusion, surface treatments on the Al sheets and kenaf fibers were effective to improve the mechanical and water absorption properties of kenaf fiber reinforced aluminum laminates (KeRALL)
THE EFFECTS OF BONDING TEMPERATURE AND SURFACE ROUGHNESS ON THE SHEAR STRENGTH OF BONDED ALUMINIUM LAMINATES USING POLYPROPYLENE BASED ADHESIVE
The high strength to weight ratio behaviour of aluminium alloys is particularly attractive in the transportation field to reduce the energy consumption. In this study, the effects of bonding temperature and the surface roughness on the single lap shear of bonded aluminium 5052 were studied. The bonding temperatures were in the range of 140 ºC to 170 ºC at an interval of 15 ºC whereas the surface roughness values were at 0.24, 0.49, 0.60 and 0.98. The bonded aluminium sheets were fabricated through the hot compression method in which the adhesives were located between the aluminium sheets. Single lap shear test was conducted at room temperature with reference to ASTM D1002. The results demonstrated that the bonding temperature and surface roughness of aluminium sheets influenced the lap shear strength. The aluminium with surface roughness value of 0.98 evidenced the highest shear strength regardless of bonding temperatures. When comparing the shear strength of aluminium laminates with different bonding temperature, aluminium with 170 ºC attested a slightly higher shear strength compared to 155 ºC and 140 ºC. The shear strength of aluminium with bonding temperature of 170 ºC was 0.71 % and 9.81 % higher than 155 ºC and 140 ºC respectively at surface roughness value of 0.98
Interactions between Crosstalk in Wavelength Division Multiplexing and Graded index Optical Fiber Parameters
In this paper, an interaction between multimode graded-index optical fiber parameters with crosstalk and spatial shift in Wavelength Division Multiplexing (WDM) technique is presented. Pulse spreading caused by linear effects in optical fiber due to dispersion is considered in this proposed system. Results show how channel spacing, fiber core radius and spatial shift affect on the crosstalk. Furthermore, the significance of fiber length, chirp parameter and refractive index profile parameter on crosstalk is presented and analyzed in detail
Convolutional Neural Network for Object Detection System for Blind People
Blind or visually impaired people are usually unaware of the danger that they are facing in their daily life. They may face many challenges when performing their daily activity even in familiar environments. This work proposed a smart object detection system based on Convolutional Neural Network (CNN) to provide a smart and safe living for visually impaired people. To reduce the complexity load, region proposals from the edge maps of each image were produced using edge box algorithm. Then, the proposals passed through a fine-tuned CaffeNet model. The object scene was captured by the webcam in real time and the feature of the image was extracted. After that, audio-based detector was generated on the detected object to notify the visually impaired people about the identified object. The result was evaluated by using mean average precision (mAP) and frame-per-second and it was found that the Single Shot MultiBox Detector (SSD) reduces the complexity and achieves higher accuracy as well as faster speed in object detection compared to Fast R-CNN
Optimization of Current-Reused LNA with PSO Algorithm
This paper presents a tunable narrow band Low Noise Amplifier (LNA), which is optimized at the frequency of 4.4 GHz. Relating to the proposed low noise amplifier that has current-reused structure drawn from the auxiliary gate-source capacitor of the main transistor and the bypass capacitor, the performance of the LNA is tuned. The temperature and source variations can change the operational frequency and desired parameters. In this paper, the shift of the frequency is compensated using the particle swarm optimization (PSO) algorithm. The designed low noise amplifier with particle swarm optimization algorithm in the present of PVT (Process, Voltage, and Temperature) variations achieves a voltage gain of 12.52 dB, with corresponding noise figure (NF) of 1.80 dB, input return loss (S11) of -37 dB, and output return loss (S22) of -42 dB at the frequency of 4.4 GHz. The die area of the designed LNA is 939.5µm*746.83µm
CHALLENGES FACED BY TECHNICAL-SKILL-BASED SMEIS IN DEVELOPING ECONOMIES: INSIGHTS FROM SOUTH-SOUTH NIGERIA
The purpose of this paper was to identify the challenges of technical-skill-based small- and medium-sized entrepreneurs and industrialists (TS-SMEIs) in the South-South region of Nigeria. Adopting a mixed methodology, one hundred ninety-eight TS-SMEIs were surveyed. Over thirty focus group discussions consisting of craftsmen and artisan grouped were held. Like in other climes, SMEIs in South-South Nigeria are beset with many challenges including: inadequate institutional support, poor infrastructure, limited access to finance, low level of technology adoption, and insufficient innovation. However, contrary to previously held positions, TS-SMEIs listed lack of workspace as the most important impediment to their business success. Expanding technopreneurship ecosystem in South-South Nigeria will mean addressing many problems that current and potential TS-SMEIs face. We recommend the: provision of access to affordable financial services; building the technological infrastructure; supporting the entrepreneurial process; and building capacity of the TS-SMEIs. Lastly, this study provides an opportunity to gain insight directly from the voice of the TS-SMEIs in South-South Nigeria themselves, to understand better their needs, and make relevant recommendations for improvements. It is envisaged that this will lead to technology driven development of the region
Global Uncertainty and Sensitivity Analysis of a Reduced Chemical Kinetic Mechanism of a Gasoline, N-Butanol Blend in a High Pressure Rapid Compression Machine
A detailed evaluation of a recently developed combined n-butanol/toluene reference fuel (TRF) reduced chemical kinetic mechanism (Agbro, 2017) describing the low temperature oxidation of n-butanol, gasoline and a gasoline/n-butanol blend was performed using both global uncertainty and sensitivity methods with ignition delays as the predicted output for the temperature range 678 - 858 K, and an equivalence ratio of 1 at 20 bar. A global sampling technique was applied in the simulations in order to quantify the uncertainties of the predicted ignition delays when incorporating the effects of uncertainties in forward rate constants in the simulations. In addition, a variance-based global sensitivity analysis using a high dimensional model representation (HDMR) method was carried out to understand and rank the parameters responsible for the predicted uncertainties. The results showed that uncertainties in predicting key target quantities for the various fuels studied are currently large but driven by few reactions. Global sensitivity analysis of the mechanism based on predicted ignition delays of stoichiometric TRF mixtures, showed the toluene + OH route = phenol + CH3 to be among the most dominant pathways in terms of the predicted output uncertainties but an update on the mechanism based on recent data from the study of Seta led to the toluene + OH hydrogen abstraction reaction becoming the most dominant reaction as expected. For the TRF/n-butanol blend, hydrogen abstraction reactions by OH from n-butanol appear to be key in predicting the effect of blending. Uncertainties in the temperature dependence of relative abstraction rates from the α and γ sites may still be present within current mechanisms, and in particular may affect the ability of the mechanisms to capture the low temperature delay times for n-butanol. Further studies of the product channels for n-butanol + OH for temperatures of relevance to combustion applications could help to improve current mechanisms. At higher temperatures, the reactions of HO2 and that of formaldehyde with OH also became critical and attempts to reduce uncertainties in the temperature dependent rates of these reactions would be useful