Turkish Journal of Forestry (Dec 2021)
Comparison of time measurement and recording tools with each other and stopwatch in terms of data sensitivity
Abstract
The aim of the study is to compare the android-based “time measurement and recording tool" (ZÖKA) application which has been developed to be used in time studies in forestry works and the "time analysis" (TA) program, which is a Windows operating system-based time recording software, with each other and with a digital stopwatch in terms of data precision and usage characteristics. This study was carried out in order to eliminate the questions about the performance of ZÖKA and TA program developed for the purpose of time studies, their positive and negative aspects compared to the chronometer, and which one could be more effective. During the wood-based harvesting activities, the working times of the debarking work were recorded with real-time by video recorders. The recorded images were watched with the help of video player software and the actual times of the work elements (which were later used as control data) were determined by the indirect observation method. Time measurements were made on the same images with the same surveyor using a digital stopwatch, ZÖKA application and TA program. The obtained data were compared with the control data and with each other in terms of data sensitivity. A simple comparison was made by considering the usage features of the stopwatch, ZÖKA application and TA program, and the structural characteristics of these three tools. It has been determined that the ZÖKA application can measure and record more sensitive data and is more effective with eye-hand and ear-hand coordination in time measurements of jobs with short-term work periods (3 seconds and less). It has been revealed that the TA software is also more sensitive than the digital chronometer and has the advantage of recording data, especially in cases where the duration of the work slices exceeds 5 seconds and especially indirect observations are made. ZÖKA application can be used with precision in time studies, especially in measuring short-term work cycles.
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