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Application of Predictions for the Total Productivity of Competency Certificates Electrical Engineering Staff at PT. Eleska Iatki Using Artificial Neural Network Backpropagation Algorithm

Year: 2024

Type: article

Abstract: The productivity value is a critical performance assessment criterion for Competency Certification Institutes LSK for electrical engineering personnel in Indonesia, overseen by the Directorate General of Electricity DJK.This study aims to predict the productivity of competency certificates issued by PT Eleska Iatki using an Artificial Neural Network ANN with the Backpropagation algorithm.Accurate predictions are essential for developing business strategies and maintaining high performance amidst competitive pressures.Data from 2018 to 2022, consisting of certificate issuance records, were utilized.The study's methodology included data collection, preprocessing, prediction modeling, and accuracy testing, resulting in a prediction accuracy of 91.3 with a Mean Absolute Percentage Error MAPE of 9.7

Source: International Journal of Science and Research (IJSR)

DOI: 10.21275/sr24606084908

Authors: Rika Mulyati, Nur Ichsan Utama, Adi Raharjo, Sunaryo Marwa, Nusyirwan x

Institution: Telkom University

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4400588331

FWCI:

Cites: 2

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Related to: 10