A New Electrostatic Field Measuring Instrument

A single program has been developed to ensure that the final result of the data processing of the measurement calibration protocol is obtained under normal conditions. The calibration result contains a calibration function or a correction function in the form of a continuous sedate series and a calibration chart based on typical additive error probabilities. Solved the problem of the statistical treatment of the calibration protocol measuring in normal conditions within a single program “MMI–calibration 3.0” that includes identification of the calibration function in a continuous power series of indications of a measuring instrument and chart calibration. An example of solving the problem of calibration of the thermometer by the working standard of the 3rd grade with the help of the “MMI-calibration 3.0” program.

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Optimization of the verification of the measuring instrument way of rejection method

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2019-2-3-5 ◽

2019 ◽

pp. 3-5

Author(s):

L. V. Yurov ◽

Keyword(s):

Measuring Instrument ◽

Rejection Method

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Analysis of significant measures for thermal conductivity

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2020-3-35-42 ◽

2020 ◽

pp. 35-42

Author(s):

Yuri P. Zarichnyak ◽

Vyacheslav P. Khodunkov

Keyword(s):

Thermal Conductivity ◽

Heat Flux ◽

Surface Heat Flux ◽

Heat Flux Density ◽

Measurement Method ◽

Conductivity Measurement ◽

Surface Heat ◽

Measuring Instrument ◽

New Class ◽

Achievable Accuracy

The analysis of a new class of measuring instrument for heat quantities based on the use of multi-valued measures of heat conductivity of solids. For example, measuring thermal conductivity of solids shown the fallacy of the proposed approach and the illegality of the use of the principle of ambiguity to intensive thermal quantities. As a proof of the error of the approach, the relations for the thermal conductivities of the component elements of a heat pump that implements a multi-valued measure of thermal conductivity are given, and the limiting cases are considered. In two ways, it is established that the thermal conductivity of the specified measure does not depend on the value of the supplied heat flow. It is shown that the declared accuracy of the thermal conductivity measurement method does not correspond to the actual achievable accuracy values and the standard for the unit of surface heat flux density GET 172-2016. The estimation of the currently achievable accuracy of measuring the thermal conductivity of solids is given. The directions of further research and possible solutions to the problem are given.

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PENGARUH INPUT PROSES RELATIONSHIP MARKETING TERHADAP OUTPUT PROSES RELATIONSHIP MARKETING

Kajian Bisnis STIE Widya Wiwaha ◽

10.32477/jkb.v27i2.349 ◽

2019 ◽

Vol 27 (2) ◽

pp. 190-206

Author(s):

Surawan Setya Budi S

Keyword(s):

Relationship Marketing ◽

Research Use ◽

Measuring Instrument ◽

Total Quality ◽

Input Process ◽

Customer Expectations ◽

Simultaneous Test ◽

Marketing Process ◽

Process Understanding ◽

The Relationship

This research use relationship marketing teory which applied 4 factor of input process understanding customer expectations, building service partnerships, empowiring employers, and total quality management, and output relationship marketing process: customer satisfaction and customer layalty. The objective of this research is to find out wich factors of input process that has more impact on the output process in relationship marketing. There are 60 trusted correspondencea from Grand Inna Malioboro Hotel customer whom at least have been stayed at the hotel three times. The method of collecting data in these research use questioners and Likert scale measuring instrument 5 points that will be tested by the instrument and analyzed by using regressision analysi the simultaneous test of variabel for the relationship marketing input s. The result of the instrument shows the items used are valid and reliable. It displays the outpout process passed the assumtions test, while the signifikacant relationship marketingto the output of relationtionship marketing, For the passive test of vareable input process relationship marketing with the ouput process relationship marketing shows all significant variables unless vareabel understands customer expectations does not have a significant effect on the process of output relationship marketing

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Management Measurement Scale As A Reference To Determine Interval In A Variable

Aptisi Transactions on Management (ATM) ◽

10.33050/atm.v2i1.775 ◽

2018 ◽

Vol 2 (1) ◽

pp. 45-54

Author(s):

Qurotul Aini ◽

Siti Ria Zuliana ◽

Nuke Puji Lestari Santoso

Keyword(s):

Information Technology ◽

Quantitative Data ◽

Rating Scale ◽

Semantic Differential ◽

Short Length ◽

Measurement Scale ◽

Measuring Instrument ◽

Guttman Scale ◽

Measurement Scales ◽

Thurstone Scale

The scale is usually used to check and determine the value of a qualitative factor in quantitative measures. The measurement scale is a management in agreement that is used as a reference to determine the short length of the interval that is in the measuring instrument, so that the measuring instrument when used in measurements will produce quantitative data. The results of the scale management calculation must be interpreted carefully because in addition to producing a rough picture, the respondent's answers are not just straightforward to be trusted. Types of measurement scales: Likert scale, Guttman scale, semantic differential scale, rating scale, Thurstone scale, Borgadus scale, and various other measurement management scales. One of the most difficult jobs for information technology researchers faced with the necessity of measuring variables is: finding directions in the midst of many existing sizes. If there is a good size for a particular variable, it seems that there are not many reasons to compile a new size yourself. Keywords: Scale, Measurement, Variables.

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