This research is aimed to developed and evaluate a competency model of production engineer in the automotive industry. The data is collected from Amata City Rayong. The research is performed with two steps: 1) create an engineering competency in the automotive industry using Delphi technique with 17 experts. Then 2) review the engineering competency with the focus group of management staffs from automotive industry in Amata City Rayong. The statistics used in the analysis were percentile median and inter-quartile range. The results show that competency is consist of three parts. Part 1: management competency Part 2: functional competency Part 3: production engineering characteristic and consisted of four parts 1) the management of operational performance 2) production engineering 3) engineering knowledge 4) personal characteristics. Examining results in the competency model of production engineer in the automotive industry: the data is collected from Amata City Rayong created are appropriate and feasible in practice and performance as a performance model is built according to expert opinion.

Nowadays Eye Tracking Technology is one main challenge for developers of new human-computer interface. This technology provides a more natural way of interacting with a computer system by user’s eye. Now commercially available systems exist; however they are not widely used because of expensiveness. This paper describes a tutorial that shows step by step how to build a low-cost eye tracker using eyeglass setup. The glasses are designed to work with video-oculography technique (VOG) in the infrared spectrum. The key features of the eye is a center of the pupil. The gaze point of users are estimated based on order polynomial regression (linear quadratic and cubic). This research conducted an experiment with 30 participants tested eye-gaze calibration. Consequently the experimental results showed that eye-gaze can be estimated in real-time while the cubic function can be accurate eye-gaze position more than the other function.

This research aims to study the using cassava pit wastes mixed with cement to particle board walls. The Portland cement type1: fine sand: tap water ratio is equal to 1: 0.5: 0.416 by weight. The ratios of cassava pit wastes to cement are used following: 0.05 0.06 0.07 0.08 0.09 and 0.10 by weight. The cassava pit wastes are crushed by plastic plastics granulators (pass sieve no.4). The casting of particle board walls use the compression machine in room temperature (30 – 35 degree of Celsius) and control 0.75 g/cm3 of density. The TIS 878-2537 standard (cement bonded particle board: high density) is followed to test the properties of particle board wall. Resulting the cassava pit wastes mixed with cement can cast to particle board walls and have good properties especially the thermal insulation property.

The objectives of this research were (1) To study the influence of the service quality which consisted of the dimensions of tangible reliability responsiveness assurance and empathy on customer trust; (2) To study the influence of the service quality and customer trust on customer satisfaction; (3) To study the influence of customer trust and satisfaction on the positive word of mouth; (4) To study the influence of customer trust and satisfaction on customer revisit and (5) To validate the causal relationship model of the influence of service quality on trust customer satisfaction customer positive word of mouth and revisit of Rama II Hospital with empirical data. The variables in this investigation consisted of the following; service quality which consisted of the dimensions of (1) tangible; (2) reliability (3) responsiveness (4) assurance and (5) empathy as the independent variable; customer trust and satisfaction as mediating variables and customer positive word of mouth and revisit as dependent variables.

The objectives of this research were (1) To study the influence of the after sales service quality which consisted of the dimensions of tangible reliability responsiveness assurance and empathy on customer trust; (2) To study the influence of the aftersales service quality and customer trust on customer satisfaction; (3) To study the influence of customer trust and satisfaction on customer loyalty and (4) To validate the causal relationship model of the influence of aftersales service quality on trust customer satisfaction and customer loyalty of medical’s equipment business with empirical data. The variables in this investigation consisted of the following; aftersales service quality which consisted of the dimensions of (1) tangible; (2) reliability; (3) responsiveness ;(4) assurance and (5) empathy as the independent variable; customer trust and satisfaction as mediating variables and customer loyalty as dependent variable.