Kahayya Village as a Priority Destination for Rural Tourism Development Policy in Bulukumba Regency

This study aims to analyze the potential of the village of Kahayya Sub-District, Kindang District, Bulukumba, South Sulawesi Province to be developed as a priority destination for rural tourism development policies in Bulukumba District. This research uses descriptive qualitative by using SWOT analysis to explore the potential of its village in rural tourism development policies in Bulukumba District. Kahayya Village has the power in the form of beauty, uniqueness and the preservation of natural resources that are very good, while the weaknesses include facilities and infrastructure as well as the inadequate quality of human resources. Opportunities owned include strategic location of other tourist objects and cultural values of Bulukumba people are strong while threats include pollution of the environment and shifts in local culture. Kahayya Village's natural resources have better quality than the surrounding area and have the potential for rural tourism. The Kahayya tourism village has a large influence on improving the welfare of the local village community and contributing greatly to nature conservation

Economic Recovery Efforts through Tourism in the Bira Beach Area, Bulukumba Regency

Located in the enchanting province of South Sulawesi, Indonesia, lies the captivating Bulukumba Regency, a veritable haven for discerning travelers seeking to immerse themselves in a cornucopia of awe-inspiring natural wonders and a vibrant tapestry of cultural diversity. The advent of the global pandemic has undeniably caused significant disruptions within the tourism sector, thereby exerting a profound impact on the sustenance and well-being of local communities. The study utilizes qualitative methodologies to scrutinize the multifaceted role and profound influence of tourism within the designated region. This statement highlights the crucial significance of implementing sustainable tourism practices, fostering community engagement, and promoting equitable employment opportunities. The research endeavors to delineate a myriad of tactics aimed at fostering economic resurgence, encompassing initiatives such as programs focused on enhancing capabilities, the utilization of data to inform policy decisions, and harmonized endeavors to bolster the tourism sector. The research proposes a set of strategic measures aimed at maximizing the economic prospects of the tourism industry. These measures encompass the implementation of capacity-building initiatives targeted at local communities, with the objective of augmenting their skill sets and enhancing their employability. The imperative of guaranteeing equitable employment prospects and fostering sustainable practices cannot be overstated. In addition, it is imperative for the government and key players in the tourism industry to prioritize the implementation of a data-driven strategy in policymaking and coordination efforts, with the ultimate goal of rejuvenating the tourism sector in South Sulawesi Province

Robust and reliable dual the classification system with error compensation module

The toll industry put great emphasis on preventing revenue leakage especially from fraud by toll tellers. An automatic vehicle classification system (AVC) has been developed in order to mitigate the problem based on the classes defined by Malaysian Highway Authority (MHA). The system uses treadle sensors to map tires and count the number of axles while the optical barrier is used to detect the presence of vehicle. However, since the short lifecycle because of wear and tear due to the nature of them being treaded by the vehicles, the treadle breaks quickly and needs frequent replacement. Disruptions during maintenance and replacement causing inconvenience and unreliability that results in a steady demand by worldwide toll collection industries for replacement or at least enhancement of the technology. Two approaches have been made to mitigate this problem. First, the materials in the treadle are improved and second, a system to compensate for small errors is developed. The sensor is changed from fragile contact switch to strain gage that has high fatigue limit. The new sensor housing is made out of stainless steel that has high fatigue limit of 260 MPa. Furthermore, to increase the treadle endurance, the sensors are contained in elastomeric material which possesses hardness of 70 (Shore A scale) that protects the sensors from external impact of vehicles yet still allows force to be transferred to the sensor. The new treadle sensor was tested and can last more than 5 million treading cycles as required by the industry. Moreover, a robust dual tire classification module is installed in the system that can maintain high accuracy even when some sensors have error. Test using simulated data shows that the algorithm can maintain 100% accuracy when two errors are present. The module was also tested on actual data that gives 99.83% accuracy. With these enhancements, the lifecycle of the device is elongated beyond 5 million cycles without compromising the accuracy. Thus, it prevents revenue leakage and avoids traffic disruptions that will contribute positively to the economy

System Identification Modeling for Gaseous Pilot Plant

This project is about choosing the best system identification modeling for the gaseous pilot plant in Universiti Teknologi PETRONAS (UTP). The main activity for this project is developing suitable model for process using various techniques. System identification modeling is done by conducting experiments in the pilot plant laboratory to collect all input-output data of parameters of interest. Using these input and output data, model estimation can be done by selecting appropriate range and models

Parametric Study on Volume Fraction of Representative Volume Element (RVE) CFRP and GFRP Towards Tensile Properties

The properties such as fibre content, orientation, dimension of constituent fibres (diameter), level of intermixing of fibres, interface bonding between fibre and matrix, and arrangement of fibres between different types of fibres, influences the mechanical properties of hybrid composite.Representative Volume Element (RVE) for each constituent CFRP and GFRP assumed isotropic behavior for carbon fibre, glass fibre and epoxy resin matrix and assumed to be perfectly bonded interface between fibre and matrix region i.e. strain compatibility at the interface. The scope of study on the micro mechanical modelling via representative volume element (RVE) is limited only to unidirectional composites

Carbon Dioxide Separation from Methane Using Covalent Organic Polymer Adsorbent

In 21st century, many industrial area in the world trying to produce the technology which is low cost, easier to handle and user friendly. Basically this Final Year Project’s objectives are to synthesis and characterize Covalent Organic Polymer as adsorbent for removal of carbon dioxide from methane. Besides that, the new synthesis Covalent Organic Polymer will be investigate its capturing ability in ambient condition. Previous research on the adsorbent for the capturing carbon dioxide had been widely executed. But there are different problem with different materials used. Metal based adsorbent had the problem with its weight thus polymer based is chosen to overcome weight problem. Besides that, use of amine solvent as the material had the flaws on its recyclability of the solvent. Thus, Covalent Organic Polymer has a great potential to overcome this problem. The scope of study of this project will covered the synthesis of new Covalent Organic Polymer, Characterization of new develop polymer and test the ability of material to capture carbon dioxide. For the characterization of this new polymer will use FTIR, SEM, TGA and BET

Environmental management activities of an infrastructure development project: the case of Beris Dam, Malaysia

Development projects need to integrate environmental dimensions into project management functions to ensure successful implementation of environmental management and control practices throughout the development process. The management functions include the scope of work for environmental control, the quality of work or performance to be delivered, the scheduling for environmental works, and the most important one is the budget for environmental control. The aim of this paper is to examine and discuss about the environmental dimensions of Beris Dam during its construction and development process. The environmental dimension criteria and elements of the project were examined by means of reviewing environmental control documents used in the project’s construction and development, and site visits. The review reveals that in general the Beris Dam EIA and EMP reports scored between ‘unsatisfactory’ to ‘good’ for the criteria and elements of good environmental practice. These findings indicate the need to increase both effort and implementation of environmental dimensions in project management to help improve the success of implementing environmental management activities in the construction and development of a projec

Modelling Housing Demand Factors for Affordable Units in Malaysia

The Malaysian government is prioritizing the development of affordable housing units to cater to the needs of the underprivileged. However, it is not sufficient to merely meet the required number of units; it is crucial for developers to understand the actual demand for affordable housing in urban areas. This is because even middle-class homebuyers have their own preferences when it comes to purchasing a home at an affordable price. Therefore, this study aims to investigate the current demand attributes that contribute to the affordable housing demand model in urban areas, using Wangsa Maju, Kuala Lumpur, Malaysia as a case study. Data was collected from 400 potential buyers of affordable housing units, and 25 significant attributes of housing demand were examined. Partial Least Square Equation Modelling (PLS-SEM) was used to develop the housing demand model. The findings revealed that a total of five factors with nine attributes in housing demand significantly contribute to the affordable housing demand model in urban areas, as determined by the coefficient’s determination, path coefficient, effect size, and predictive relevance towards endogenous variables of housing demand. Overall, the result has confirmed that government intervention has play major role in supporting affordable housing development and at the same time has encourage the potential buyer form the right group to have their own house at affordable price

The AGE iterative methods for solving large linear systems occurring in differential equations

The work presented in this thesis is wholly concerned with the Alternating Group Explicit (AGE) iterative methods for solving large linear systems occurring in solving Ordinary and Partial Differential Equations (ODEs and PDEs) using finite difference approximations. [Continues.

Job satisfaction and teaching role attributes of instructors in higher learning institutions of Malaysia

The purpose of the study is to examine the relationships between job satisfaction and four teaching role attributes of instructors. The study was conducted in Malaysia and the respondents (sample of 292 instructors) were instructors in the higher learning institutions who are working in universities and university colleges. Four instructor roles were studied (pedagogical, managerial, technical and subject designing) and their characteristics are individually measured using Hackman and Oldham’ Job Diagnostic Survey (1980). Each instructor role was measured for their degree of skill variety, task significance, task identity, autonomy and feedback from the job. The correlation tests indicate that all the four role attributes are significant and positively related with job satisfaction. Multiple linear regression tests output show pedagogical role attributes serve as the strongest predictor of job satisfaction (beta = .289, p = .000) followed by subject design role attributes (beta = .199. p = .000)