THE EFFECT OF DIGITALIZATION FOR EMPLOYEES IN MANUFACTURING COMPANIES IN THE ERA OF INDUSTRIAL REVOLUTION 4.0 USING THE CFA (CONFIRMATORY FACTOR ANALYSIS) CALCULATION METHOD
Journal Title: Engineering and Technology Journal - Year 2024, Vol 9, Issue 01
Abstract
Industrial digitalization 4.0 is a change in communication, function and interaction in industry to digital. So, this is an industrial transformation from a conventional concept to a virtual one. The purpose of this research is to examine the benefits of digitalization for employees in various manufacturing companies. This aim provides quite effective benefits in optimizing many things so that we don't need to spend a lot of time and effort to achieve the targets of our work. This research uses the Validity Test and Reliability Test method with a purposive sampling approach technique of 75 respondents from various employees in manufacturing companies. In this study, researchers used the JASP program version 0.17 with CFA (Confirmatory Factor Analysis) calculations. Of the 40 items that describe 3 components including the company's digitalization system, work productivity, job satisfaction. In the trial of the measuring instrument, it was reliable because the results were above 0.07, but the quality of the items was not good because there were still items whose benchmark was below 0.05. This measuring instrument was tested on 75 respondents. Based on the measuring instrument test, in the first stage 14 items were obtained that could be used and 26 items that could not be used with a validity value of 0 out of the 40 items that had been tested.
Authors and Affiliations
Angga Pradana Fajriyah Amanatus Muhamad Rifaldi Yudi Prastyo Tri Ngudi Wiyatno
Keywords
Related Articles
- EP ID EP726866
- DOI 10.47191/etj/v9i01.04
- Views 79
- Downloads 0
Mechanistic Modeling of Hydraulic Energy Transmission Technology of an Improved Dental Patient Chair Design
This work focused on mechanistic modeling of hydraulic technology of an improved dental chair design. ISO 6385 standard for P(M)95 patient were basis for system parameters, and fathom masses between 60kg-93kg, correspond...
VISUALIZING COATNET PREDICTIONS FOR AIDING MELANOMA DETECTION
Melanoma is considered to be the most aggressive form of skin cancer. At present, the evaluation of malignancy is performed primarily by invasive histological examination of the suspicious lesion. Developing an accurate...
Temporal and Spatial Analysis of Temperature and Precipitation in Henan Province
Using the monthly precipitation data of 15 national basic meteorological stations in Henan Province from 1960 to 2021, the MK abrupt change test and EOF analysis were used to analyze the trend of temperature and precipit...
KINETICS LEACHING STUDY OF URANIUM FROM ALGERIAN PHOSPHATE BY SULFURIC ACID
The kinetics of dissolution of an Algerian phosphate in sulfuric acid has been investigated in the presence of hydrogen peroxide (H2O2) as oxidant. The effect of different parameters such as leaching time, sulfuric acid...
Automated Detection and Classification of Tomato Leaf Diseases Using Convolutional Neural Networks
Tomato (Solanum lycopersicum) is one of the most important vegetable crops globally, but its production is significantly affected by various foliar diseases such as Early Blight, Late Blight, and Septoria Leaf Spot. Time...