Factor Analysis of Rumah Belajars Learning Technology Acceptance by State Civil Apparatus at Human Resources Development Agency (BPSDM) Ministry of Law and Human Rights Hasya Azqia Hanifan (a), Siska Noviaristanti (b)
Faculty of Economics and Business, Telkom University, Bandung, Indonesia
Abstract
The industrial revolution 4.0 encourages all sectors to carry out digital transformation. The government sector is no exception. Human Resources Development Agency (BPSDM) Ministry of Law and Human Rights facilitates a learning technology called Rumah Belajar to meet the mapping and competency development needs of State Civil Apparatus (ASN) within The Ministry of Law and Human Rights Republic of Indonesia. This is in line with the Smart ASN program promoted by the government as a strategy to improve the quality of human resources, which is included in the governments priority in the Making Indonesia 4.0 roadmap. BPSDM as one of the first echelon units under Ministry of Law and Human Rights is known to be the pioneer of Rumah Belajar and has the highest percentage of users reaching 85%. Therefore, this study will analyze what is the dominant factors influence the acceptance of Rumah Belajar by ASN at BPSDM Ministry of Law and Human Rights.
This research is carried out by factor analysis based on the variables in the Extended Theory of Acceptance and Use of Technology (UTAUT2) and Task-Technology Fit (TTF) models which have been proven by previous research that these two models can explain better the acceptance of technology than if only one of them was used separately. This study will use the variable Learning Value as a substitute for Price Value in UTAUT2. The method used in this research is quantitative with a questionnaire survey. The population is all users of Rumah Belajar at BPSDM totaling 350 people. While the number of samples was determined based on the Slovin formula, which was 187 people. Sampling was done by using probability sampling technique, namely simple random sampling. The results will be analyzed using Confirmatory Factor Analysis (CFA), with SPSS version 25 as a tool. This research are expected to add insight and become a reference for the development of learning technology and can be a reference for future research.
Keywords: Digital Transformation, Learning Technology, Confirmatory Factor Analysis
