CUSTOMER ATTITUDES AND INTENTION TOWARDS SHARIA COMPLIANT HOTEL

The purpose of this study is to investigate the effect of customer’s attitudes on costumer intention towards sharia compliant hotel. This hotel arranged to serve customers creatively, based on sharia principles. The dimensions of the customer attitudes variable are customer attitudes of hotel operating, hotel design and hotel finance. This study applied convenience sampling to choose the members of samples. 183 hotel costumers were collected to be respondents. Data used is primary data. These data is collected by distributing questionnaires. This study applied partial least square to analyze data. Partial least square appropriate for small size sample. It also appropriate for communication and behavior research. The results of the study shows that customer attitudes of hotel operating, hotel design and hotel finance influenced customer intentions towards sharia compliant hotel positively and significantly. This moderate effect of customers attitude to their intention indicated that there are other factors that might affect customers intention such as price and hotel position.

Evaluation of Tensile Properties of Pressure Vessel Materials by Shear Punch Test Method

A shear punch test is a very useful small specimen test method for evaluating the mechanical properties of in-service components, in view of the requirements of small size sample material. This paper presents the results of shear punch tests on five grades of steels used in boiler construction, along with the correlation with yield stress and ultimate tensile stress obtained ASTM standard specimens. The design of the shear punch fixture and procedure to carry out the shear punch test is also highlighted.

EXPLOSIVE DAMAGE TO INDUSTRIAL BUILDINGS: ASSESSMENT BY RESAMPLING LIMITED EXPERIMENTAL DATA ON BLAST LOADING

Assessment of damage to industrial buildings due to accidental explosions in air is considered. It is suggested to formulate the result of the damage assessment in the form of risk. The expression of risk embraces probabilities of foreseeable damage events (damage probabilities) and outcomes (consequences) of suffering these events. The situation is examined when blast loading imposed by an accidental explosion is predicted by a series of experiments. They yield a small‐size sample of blast loading characteristics. It is suggested to idealise the formation of explosive damage to industrial buildings by means of event trees diagrams. A quantitative analysis of these diagrams can be carried out by developing fragility functions for their branching points. Each branching point is used to represent a structural failure contributing to the final explosive damage. The fragility functions are applied to expressing the conditional probabilities of explosive damage. With these probabilities, a technique of frequentist (Fisherian) inference is applied to assessing the explosive damage. This technique is called statistical resampling (Efron's bootstrap) and applied as a practical, albeit not equivalent alternative to the Bayesian approaches. It is shown that statistical resampling is capable to yield confidence intervals of damage probabilities and can be applied almost automatically. It operates without using cumbersome methods of statistical inference developed in the classical statistics. The bootstrap confidence intervals do not contain any subjective information except the degree of confidence for which these intervals are computed. The degree of confidence must be chosen by the engineer. The bootstrap confidence intervals are applied to estimating damage probabilities on the basis of the small‐size sample of blast loading characteristics. An estimate of the risk of explosive damage is expressed as a set of bootstrap confidence intervals computed for damage probabilities and related outcomes of this damage.