Assemble of Information Technology (AIT) as School Infrastructure Optimization

Abstract

Disruption to the learning process occurs during a pandemic. All educational arrangements are changing. Along with these changes, the independent learning curriculum is trying to be implemented. The purpose of this study was to analyze the state and availability of school infrastructure related to IT in Vocational High Schools in Central Java, to develop an assemble of information technology (A-IT) manual as an effort to optimize school infrastructure in online learning. Evaluating the assemble of information technology (A-IT) manual as an effort to optimize school infrastructure in online learning. This research is development research with a mixed-method approach, namely qualitative and quantitative. A qualitative approach is used. The subject of this research is the Principal of Vocational Schools in Central Java, while the object of this research is the optimization of information infrastructure in schools. Data collection techniques used questionnaires and interviews with principals of SMK schools in Central Java. Qualitative data analysis was carried out by collecting data, reducing data (data reduction), presenting data (data display), and drawing conclusions or verification (conclusions). The results showed that the condition and availability of IT infrastructure in Vocational High Schools in Central Java were quite good but still required the development of IT infrastructure in a better and more structured manner. Development of guidebooks the development of assembling of information technology (A-IT) manuals can be well structured through the results of FGDs with SMK principals so that the final model of the manual can be compiled and used as guidelines in the development of IT infrastructure in schools. The assembly of information technology (A-IT) manual is very useful in compiling and preparing school infrastructure properly and making it easier for schools to develop IT infrastructure so that learning becomes more optimal.