scholarly journals IMPROVEMENT OF WORK METHOD TO REDUCE REPETITIVE WORK IN PT. TRIJAYA PLASTIK UTAMA WITH OCRA METHOD

2020 ◽  
Vol 18 (2) ◽  
pp. 103
Author(s):  
Bambang Suhardi ◽  
Syafiya Maharani ◽  
Rahmaniyah Dwi Astuti
Keyword(s):  
Author(s):  
Lesja Kosmii

Goal. The purpose of this work is to analyze the norms of the current labor legislation regarding the regulation of the relations between the employee and the employer in the introduction of any restrictions and anti-epidemic measures in the conditions of national quarantine and prevention in such conditions of violations of labor rights of employees. It is important that during the course of the COVID-19 coronary pandemic measures, they were not only effective but also violated human rights, including work. Method. The methodology includes a comprehensive analysis and generalization of available scientific and theoretical material, experience of foreign countries and formulation of relevant conclusions and recommendations. During the research the following methods of scientific knowledge were used: terminological, comparative, functional, system-structural, logical-normative. Results. During the research it was found that the Ukrainian legislature, including foreign experience, was able to respond promptly to the quarantine situation by adopting anti-crisis laws, which did not neglect labor legislation. This is understandable, because in connection with the announcement of quarantine in the whole territory of Ukraine, employers had to make personnel decisions, and the current legislative framework did not clearly regulate the issues that arose. Scientific novelty. The study found that the updating of labor legislation in the area of labor relations regulation during the national quarantine period allows the employer to use certain forms of labor organization, in which the basic labor rights and guarantees of employees can be preserved. Practical importance. The results of the study can be used in law-making and law enforcement activities, as well as by employers in regulating labor relations with employees during the quarantine period.


2019 ◽  
Vol 1 (2) ◽  
pp. 151-164
Author(s):  
Watini Watini

The reason underlying the implementation of the present study was because there was a finding revealing that there were still several students from cross-economics class of XI MIPA having difficulties in understanding the lessons. In addition, the students also had a kind of thought that economics was just about memorizing things which was not interesting and challenging that resulted in their unsatisfied learning outcomes. Therefore, the SIM-OVG model needed to be implemented in the learning process. The instruments of the present study were observation and, students’ learning reports and work method. The population of the study was the second grade students (4 classes) who enrolled economics subject at SMA Negeri 10 Samarinda, whereas the samples of the study were the students of XI MIPA-1 class (cross-economics class) at SMA Negeri 10 Samarinda. The number of the population and samples was 101 and 23 students respectively. The study lasted for one semester. The description of the classroom observation, the students’ scores and the group presentation were obtained for the data analysis. After implementing the SIM-OVG model, the results showed that; 1) in the affective aspect, the students showed a better attitude, 2) in the cognitive aspect, there was an improvement on the students’ learning outcomes (before the implementation of SIM-OVG model in XI MIPA-1 class, 52,17% of the students did not reach the passing-grade, but after the implementation, 100% of the students reached the passing-grade, and they also looked enthusiastic in doing their assignments, and 3) in the psychomotor aspect, the students became more skillful, creative, and be able to perform high level thinking. The researcher suggested that the dissemination should be done through MGMP forum and SIM-OVG model workshop. In addition, the researcher also suggested the integration of SIM-OVG model with other learning models and hoped that every school provided adequate facilities to support the implementation of SIM-OVG model.


Work & Stress ◽  
2003 ◽  
Vol 17 (3) ◽  
pp. 264-276 ◽  
Author(s):  
Åse Marie Hansen ◽  
Anette Kaergaard ◽  
Johan Hviid Andersen ◽  
Bo Netterstrøm
Keyword(s):  

2016 ◽  
Vol 29 ◽  
pp. 34-41 ◽  
Author(s):  
Calvin T.F. Tse ◽  
Alison C. McDonald ◽  
Peter J. Keir
Keyword(s):  

2014 ◽  
Vol 644-650 ◽  
pp. 290-293
Author(s):  
Zhi Hui Deng ◽  
Yun Hang Zhu

A robot based on STC12C5A60S2 single-chip-microcomputer is designed for improving the production efficiency and reducing repetitive work. The system could identify path by detecting metal using eddy current sensor. By ways of the single-chip-microcomputer controlling stepper motor, the robot can run according to the predetermined route, judge independently cargo range and deliver the goods to the designated location. The implementation methods of the important links, such as mechanical structure design, path recognition and steering engine driving and so on are introduced, the system of which make the information interaction with computer through ISP-module (In-system-programming).by testing the model, it shows that the system can meet the design goals of handling goods automatically, and it has higher application value of reducing the accident rate of worker in repeated works and improving labor productivity.


2021 ◽  
Vol 15 (04) ◽  
pp. 513-537
Author(s):  
Marcel Tiator ◽  
Anna Maria Kerkmann ◽  
Christian Geiger ◽  
Paul Grimm

The creation of interactive virtual reality (VR) applications from 3D scanned content usually includes a lot of manual and repetitive work. Our research aim is to develop agents that recognize objects to enhance the creation of interactive VR applications. We trained partition agents in our superpoint growing environment that we extended with an expert function. This expert function solves the sparse reward signal problem of the previous approaches and enables to use a variant of imitation learning and deep reinforcement learning with dense feedback. Additionally, the function allows to calculate a performance metric for the degree of imitation for different partitions. Furthermore, we introduce an environment to optimize the superpoint generation. We trained our agents with 1182 scenes of the ScanNet data set. More specifically, we trained different neural network architectures with 1170 scenes and tested their performance with 12 scenes. Our intermediate results are promising such that our partition system might be able to assist the VR application development from 3D scanned content in near future.


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