Factors affecting MOOC and LMS acceptance in basic training of newcomer civil servants in Indonesia

Pelatihan dasar calon pegawai negeri sipil (Latsar CPNS) is basic training for newcomer civil servants that must be followed during the pre-service period. The coronavirus disease 2019 (COVID-19) outbreak has caused face-to-face learning in the classroom to be canceled, so the learning process in the training organization must be replaced with a learning process using massive open online course (MOOC) and learning management system (LMS) with a distance learning system. This study used a modified form of the unified theory of acceptance and use of technology (UTAUT) model framework. The core factors in the UTAUT framework called facilitating conditions, will be divided into two factors. The two factors are the availability of infrastructure and devices, and internet capability (IC). The respondents of this study are newly recruited civil servants at the Ministry of Transportation of the Republic of Indonesia with 400 respondents used in the analysis process. We found that performance expectation (PE), effort expectation (EE), social influence (SI), and self-efficacy (SE) affect student behavior (SB). In addition, SI and IC affect SE. Meanwhile, the relationship between infrastructure and device availability (IDA) with SE has an insignificant result. In improving Latsar CPNS services, training organizations should pay attention to several factors that can influence SB.

Authors

Institutions

Publication Details

Journal
Indonesian Journal of Electrical Engineering and Computer Science
Published
2024-08-30
DOI
https://doi.org/10.11591/ijeecs.v36.i2.pp1002-1011
Citations
1
Primary Topic
Education and Vocational Training
Type
article
Field-Weighted Citation Impact
2.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors affecting MOOC and LMS acceptance in basic training of newcomer civil servants in Indonesia

Agustinus Subarsono, Dewi Haryani Susilastuti, Achmad Djunaedi, Robby Cahyawan
1 citations
Indonesian Journal of Electrical Engineering and Computer Science
Education and Vocational Training
2.10
article

Factors affecting MOOC and LMS acceptance in basic training of newcomer civil servants in Indonesia

Agustinus Subarsono, Dewi Haryani Susilastuti, Achmad Djunaedi, Robby Cahyawan
article en
1 citations

Abstract

Pelatihan dasar calon pegawai negeri sipil (Latsar CPNS) is basic training for newcomer civil servants that must be followed during the pre-service period. The coronavirus disease 2019 (COVID-19) outbreak has caused face-to-face learning in the classroom to be canceled, so the learning process in the training organization must be replaced with a learning process using massive open online course (MOOC) and learning management system (LMS) with a distance learning system. This study used a modified form of the unified theory of acceptance and use of technology (UTAUT) model framework. The core factors in the UTAUT framework called facilitating conditions, will be divided into two factors. The two factors are the availability of infrastructure and devices, and internet capability (IC). The respondents of this study are newly recruited civil servants at the Ministry of Transportation of the Republic of Indonesia with 400 respondents used in the analysis process. We found that performance expectation (PE), effort expectation (EE), social influence (SI), and self-efficacy (SE) affect student behavior (SB). In addition, SI and IC affect SE. Meanwhile, the relationship between infrastructure and device availability (IDA) with SE has an insignificant result. In improving Latsar CPNS services, training organizations should pay attention to several factors that can influence SB.

Indonesian Journal of Electrical Engineering and Computer ScienceVol. 36(2)
Universitas Gadjah Mada (ID)
Universitas Gadjah Mada, Division of Human Resource Development
Openalex Percentile: Top 12%
Education and Vocational Training
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.