Open AccessMachine learning approach for lecture’s performance based on supervision and job satisfaction
Author(s) -
Anda Yanny,
Anggiat Hatuaon Sihite,
Sumiaty Adelina Hutabarat,
Henry Kristian Siburian,
Ikhsan Amri Parinduri,
Siti Nurhabibah Hutagalung
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/725/1/012116
Subject(s) - cluster sampling , job satisfaction , psychology , sample (material) , simple random sample , cluster (spacecraft) , population , correlation , medical education , applied psychology , computer science , social psychology , mathematics , medicine , demography , sociology , chemistry , geometry , chromatography , programming language
The objectives of the research were to discover the correlation of supervision, performance and job satisfaction. Population consisted of 74 correspondents were taken as the sample through cluster random sampling technique. The results of research concluded, there was significantly positive correlation between supervision and job satisfaction as shown by coefficient correlation 3.74.Job satisfaction provided by the institution made Lecturers feel dissatisfied. Job satisfaction is reviewed in terms of income, respect, comfort in teaching. Partially positive and significant supervision of the performance of lecturers at the College of Computer Information Management in Medan Budi Darma. Partially positive and significant satisfaction towards the performance of lecturers of the Computer Information Management College in Medan Budi Darma.