Abstract: STMIK BANJARBARU has acquired less number of new students for the last three years compared to the previous years. The numbers of new student acquisition are not always the same every year. The unstable number of new student acquisition made the difficulty in designing classes, lecturers, and other charges. Knowing the prediction number of new student acquisition for the coming period is very important as a basis for further decision making. Least Square method as the method of calculation to determine the scores prediction is often used to have a prediction, because the calculation is more accurate then moving average. The study was aimed to help the private colleges or universities, especially STMIK BANJARBARU, in predicting the number of new students who are accepted, so it will be easier to make decisions in determining the next steps and estimating the financial matters. The prediction of the number of new student acquisition will facilitates STMIK BANJARBARU to determine the number of classes, scheduling, etc. From the results of the study, it can be concluded that prediction analysis by using Least Square Method can be used to predict the number of new students acquisition for the coming period based on the student data in the previous years, because it produces valid results or closer to the truth. From the test results in the last 3 years, the validity shows 97.8%, so it can be said valid.

Dwi Mulyani, “Prediction of New Student Numbers using Least Square Method” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(11), 2015. http://dx.doi.org/10.14569/IJARAI.2015.041105

@article{Mulyani2015,
title = {Prediction of New Student Numbers using Least Square Method},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.041105},
url = {http://dx.doi.org/10.14569/IJARAI.2015.041105},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {11},
author = {Dwi Mulyani}
}