Analisis Pengaruh Tarif,Kualitas Pelayanan dan Kepuasan Konsumen Terhadap Loyalitas Konsumen Pada PO.Rosalia Indah di Surakarta

The purpose of this study was to determine the effect of price, quality of service and customer satisfaction on consumer loyalty on a beautiful PO.Rosalia In Surakarta. In this study, the sampling technique used is purposiv Sampling. Data types and sources of data in this study using primary data obtained from the respondents that are the result of filling out the questionnaire. Data analysis techniques used are validity with all the variables declared valid by the value corrected item-total correlation of each variable above 0.256, reliability test with the test results of this study each variable is declared reliable by Cronbach Alpha above 0.600. With the criteria that the variable rate is negative and no significant effect on consumer loyalty, while the quality of service and customer satisfaction is positive and significant effect on consumer loyalty, hypothesis testing by t-test at variable rates is not significant, while in the variable quality of service and customer satisfaction significantly , From the calculation of F Test F> F table (19.236> 2.76) means that together variable rates, service quality and customer satisfaction have a significant effect on consumer loyalty. shows that the results of the analysis of data obtained R square (R2) of 0.375, meaning variation change of 0.375 Consumer Loyalty variables can be explained by the variable price, quality of service, customer satisfaction have a significant effect on consumer loyalty of 37.5%. While the rest of 62.5% is explained by other variables outside the mode

The use of reflection mode ultrasonic transceiver sensor in pipeline inspection guage to monitor pipeline internal corrosion

Aging gas transmission pipelines are prone to internal corrosion due to the presence of carbon dioxide and hydrogen sulphide in the natural gas constituents. Commonly, the in-line inspection tool known as Pipeline Inspection Gauge (PIG) is applied to perform the corrosion inspection of the pipeline. This paper describes an ultrasonic instrumentation system for PIG to monitor internal corrosion of pipeline. The system consists of ultrasonic transceiver sensor, ultrasonic driving circuitry and data acquisition system. The hardware is equipped with a sensor carrier which is propelled along the test pipeline. The time of flight (TOF) of the ultrasonic wave is measured and was used to evaluate the internal corrosion of pipeline. An initial experimental instrument was set up to perform the distance measurement test at a frequency of 390 kHz, to simulate the changes of pipe wall thickness due to corrosion effect. Surface anomalies were created at different positions to simulate the changes of pipe wall thickness due to the corrosion effect. Variation in measured distances implied the existence of the surface anomalies. The results of the simulated surface anomalies showed that the percentage error was less than + 5%. The large value of average DC voltage gave indication of distance increment due to the depth of the surface anomalies. The developed ultrasonic instrumentation system is capable to monitor the internal corrosion of pipeline

The Effectiveness of Utilising the Building Information Modelling Based Tools for Safety Training and Job Hazard İdentification

The fields of architecture, engineering and construction (AEC) have kept pace with recent technological developments in design and construction. However, it is difficult to obtain information on the breadth of applications of BIM -based tools throughout the life cycle of construction projects. Hence, this study attempts to empirically identify and evaluate the applications of pre-construction tools, with a focus on safety training and workplace hazard recognition. A questionnaire in the form of a survey was used to collect data. The results show that the ten predictors account for 52.3% of the variation in BIM knowledge (F (10, 56) = 6.133, p < 0.001). It is also found that site analysis and safety instructions have no effect on the measured variable. The study represented a comprehensive blend of research to improve the use of BIM -based tools for safety training and workplace hazard identification. It also contributed to the knowledge of how to use BIM -based tools in the pre-construction phase. The development of the BIM -process flow framework for safety training and hazard identification will be the main focus of future work

Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage

A Partial Discharge (PD) is an unwanted phenomenon in electrical equipment. Therefore it is of great importance to identify different types of PD and assess their severity. This paper investigates the acoustic emissions associated with Internal Discharge (ID) from different types of sources in the time-domain. An experimental setup was arranged in the high voltage laboratory, a chamber with an electrode configuration attached to it was connected to a high voltage transformer for generating various types of PD. A laboratory experiment was done by making the models of these discharges. The test equipment including antennas as a means of detection and digital processing techniques for signal analysis were used. Wavelet signal processing was used to recover the internal discharge acoustic signal by eliminating the noises of many natures

1,1-Dibenzyl-3-(4-fluoro­benzo­yl)thio­urea

In the title compound, C22H19FN2OS, the 2-fluoro­benzoyl group adopts a trans conformation with respect to the thiono S atom across the N—C bond. In the crystal, inter­molecular N—H⋯S, C—H⋯S and C—H⋯O hydrogen bonds link the mol­ecules, forming a two-dimensional network parallel to (101)

3-(3-Meth­oxy­benzo­yl)-1,1-diphenyl­thio­urea

The thiono and carbonyl groups in the title compound, C21H18N2O2S, adopt an anti disposition with respect to the central C—N bond. The diphenyl­amine rings are twisted relative to each other by a dihedral angle of 82.55 (10)°. The 3-meth­oxy­benzoyl fragment is twisted relative to one of the diphenyl­amine rings, forming a dihedral angle of 74.04 (9)°. In the crystal, pairs of inter­molecular N—H⋯S hydrogen bonds link the mol­ecules into centrosymmetric dimers, forming columns parallel to the a axis

Rehabilitation system for paraplegic patients using mind machine interface; a conceptual framework

Mind-Machine Interface (MMI) is a newly surfaced term in the field of control engineering and rehabilitation systems. This technique, coupled with the existing functional electrical stimulation (FES) systems, can be very beneficial for effective rehabilitation of disabled patients. This paper presents a conceptual framework for the development of MMI based FES systems for therapeutic aid and function restoration in spinal cord injured (SCI) paraplegic patients. It is intended to acquire thought modulated signals from human brain and then use these signals to command and control FES as desired by the patient. The proposed setup can significantly assist the rehabilitation and recovery of paraplegic patients due to the ease of control for the user

Expert system for early diagnosis of eye diseases infecting the Malaysian population

This paper describes a knowledge based system employing certain expert system rules to detect different kind of eye diseases found in Malaysia. The types of eye diseases that can be detected with this system are allergic or infectious conjunctivitis, secondary and senile cataract, open angle glaucoma and acute glaucoma, keratitis and dry eyes syndrome. These are the most frequent eye diseases infecting the Malaysian population. The project was designed and programmed via the object-oriented expert system shell software, EXSYS. Expert rules were developed based on the symptoms of each type of the eye diseases, and they were presented using a tree graph forward chaining with depth search first method. In order to enhance user interaction with the system, graphical user interfaces were employed. Previously, several similar works have been published, but they are limited to detecting a single disease and also required expert medical officer to operate. The expert system described in this paper is able to detect and gives early diagnosis of five types of eye diseases; inclusive of senile, secondary, open angle, acute, allergic and infections

Expert system for early diagnosis of eye diseases infecting the Malaysian population

This paper describes a knowledge based system employing certain expert system rules to detect different kind of eye diseases found in Malaysia. The types of eye diseases that can be detected with this system are allergic or infectious conjunctivitis, secondary and senile cataract, open angle glaucoma and acute glaucoma, keratitis and dry eyes syndrome. These are the most frequent eye diseases infecting the Malaysian population. The project was designed and programmed via the object-oriented expert system shell software, EXSYS. Expert rules were developed based on the symptoms of each type of the eye diseases, and they were presented using a tree graph forward chaining with depth search first method. In order to enhance user interaction with the system, graphical user interfaces were employed. Previously, several similar works have been published, but they are limited to detecting a single disease and also required expert medical officer to operate. The expert system described in this paper is able to detect and gives early diagnosis of five types of eye diseases; inclusive of senile, secondary, open angle, acute, allergic and infections