Exploring Total Quality Management Implementation Levels in I.T. Industry Using Machine Learning Models

2021 ◽  
pp. 769-784
Author(s):  
Kapil Jaiswal ◽  
Sameer Anand ◽  
Rupali Arora
Keyword(s):  
Machine Learning ◽  
Quality Management ◽  
Total Quality Management ◽  
Total Quality ◽  
Learning Models ◽  
Machine Learning Models

PENGARUH TOTAL QUALITY MANAGEMENT (TQM) TERHADAP KINERJA PERUSAHAAN MELALUI PERILAKU PRODUKTIF KARYAWAN PADA PT. TOMORROW’S ANTIQUES INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-20
Author(s):  
I Wayan Suartina ◽  
Ni Nyoman Adityarini Abiyoga Vena Swara ◽  
Ni Luh Sri Astiti
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Path Analysis ◽  
Quantitative Method ◽  
Descriptive Analysis ◽  
Company Performance ◽  
Total Quality ◽  
Analysis Technique ◽  
Z Value

This study aims to determine the effect of Total Quality Management (TQM) on employee productive behavior and company performance at PT. Tomorrow’s Antiques Indonesia. This study uses a quantitative method with a sample of 104 employees. Data was collected by observation, interviews, documentation, literature, and questionnaires. The analysis technique used descriptive analysis, path analysis (analysis path), and sobell test. The results of the total quality management (TQM) research have a positive and significant effect on employee productive behaviour at PT. Tomorrow's Antiques with coefficient of 0.986 and a sig value of 0.00 <0.05; employee productive behavior has a positive and significant effect on company performance at PT. Tomorrow's Antiques with coefficient of 0.606 and a sig value of 0.00 <0.05; total quality management (TQM) has a positive and significant effect on company performance at PT. Tomorrow's Antiques with coefficient of 0.396 and a sig value of 0.00 <0.05, and employee productive behaviour can mediate the effect of total quality management (TQM) on company performance at PT. Tomorrow's Antiques with Z value (17,311) > Z table (1,96).

Improving XGBoost with Imagination Sampling

2020 ◽  
Vol 2 (1) ◽  
pp. 3-6
Author(s):  
Eric Holloway
Keyword(s):  
Machine Learning ◽  
General System ◽  
Learning Models ◽  
Starting Point ◽  
Machine Learning Models

Imagination Sampling is the usage of a person as an oracle for generating or improving machine learning models. Previous work demonstrated a general system for using Imagination Sampling for obtaining multibox models. Here, the possibility of importing such models as the starting point for further automatic enhancement is explored.

Miejsce zarządzania bezpieczeństwem pracy w wymaganiach Total Quality Management

2002 ◽  
pp. 60-63
Author(s):  
Adam Górny
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Total Quality

Miejsce zarządzania bezpieczeństwem pracy w wymaganiach Total Quality Management

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