JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 2 No. 1 (2023): March

Analysis of the Fletcher-Reeves Algorithm in Determining the Best Model for Predicting School Life Expectancy in North Sumatra

Jaya Tata Hardinata (Universitas HKBP Nommensen Pematangsiantar, Indonesia)
Christa Voni Roulina Sinaga (Universitas HKBP Nommensen Pematangsiantar, Indonesia)
Ferri Ojak Immanuel Pardede (Universitas HKBP Nommensen Pematangsiantar, Indonesia)
Juli Antasari Sinaga (Universitas HKBP Nommensen Pematangsiantar, Indonesia)



Article Info

Publish Date
30 Mar 2023

Abstract

Expected Length of School is the length of school (in years) that is expected to be felt by children at a certain age in the future. It is assumed that the probability that the child will remain in school at the following ages is the same as the probability of the population attending school per total population for the current age. Length of School is also a benchmark for evaluating government programs in improving Human Resources who excel in the competition of technological advances. This writing is done to implement and prove that the Fletcher-Reeves Algorithm can be used to predict Old School Expectations in North Sumatra. The research data is School Expectancy in North Sumatra which consists of 10 districts/cities, which was obtained from the Central Statistics Agency of North Sumatra from 2010 to 2020. This study uses 5 architectural models, namely 9-10-1, 9-15-1, 9-20-1, 9-25-1 and 9-30-1. From the five architectural models used, the best architectural model is 9-10-1 with an MSE of 0.0130650400. Based on this best architectural model, it will be used to predict the Expectation of Long Schools in North Sumatra for the next 5 years, from 2021 to 2025.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...