Regression Analysis Model for Estimating the Resource Needs of School Construction Projects

Classrooms are the main means of education and learning activities. Based on statistics from the Ministry of Education and Culture in 2018–2019, in Indonesia there were 38,960 schools, 10,125,724 students, 358,361 classrooms, and 354,518 study groups. From a number of these classrooms there are damaged classrooms with conditions, minor damage 193,927, middle damage 26,324, major damage 20,116, and totally damage 11,548. So that junior high schools in Indonesia need to add 15,931 classrooms. School construction must be self-managed, but most in the Education unit do not have adequate human resources to be able to predict the needs of construction project resources Existing methods require special expertise, need complete data, take a long time and can be declared difficult, because there is no easy and accurate formula. Based on these problems there needs to be a solution, and this research has provided a solution that is the model. In this model there is a multiplier coefficient to determine the total cost, the amount of material, and the number of manpower in a new classroom construction project. These models are obtained from the results of research using a quantitative descriptive method approach. The primary data used were 45 random sampling data, obtained directly from the school construction committee as many as 40 data, and the project documents for which the construction was carried out by researchers were 5 data. Data analysis uses a combination of BOW method, numerical method and regression analysis method. These models have been tested for validity and the results are accurate, there is only an average difference of under 5%. Using these models, to predict school construction resources, it is enough to enter the school building area data alone, can save a lot of time, and can be used without having special construction engineering expertise.