INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Vol 21 No 1 (2021): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi

Introduction to questionnaire data patterns using Perceptron Algorithm for lecturer improvement and development in higher education

Irwan Irwan (Sekolah Tinggi Ilmu Komputer Pelita Indonesia)
Rusnardi Rahmat Putra (Universitas Negeri Padang)
Krismadinata Krismadinata (Universitas Negeri Padang)
Nizwardi Jalinus (Universitas Negeri Padang)

Article Info

Publish Date
02 Feb 2021

Abstract

This artificial neural network research article aimed to overview the current teaching process focusing on lecturer performance using the perceptron algorithm, improving the teaching process, developing the lecturer based on the perceptron algorithm's results, evaluating the speed and accuracy of the perceptron algorithm in evaluating performance lecturer and learning the rules of the perceptron algorithm in processing assessment criteria for lecturers in tertiary institutions. In this case, the perceptron algorithm was used to recognize the questionnaire data input patterns. The perceptron algorithm was trained and tested to recognize input data patterns so that this neural network could identify input data patterns from questionnaire data.

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Journal Info
INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Website

Abbrev

invotek

Publisher

Universitas Negeri Padang

Subject

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Transportation

Description

INVOTEK: Jurnal Inovasi Vokasional dan Teknologi is a double blind peer-reviewed journal for Technical, Vocasional, Education and Training (VET) related research. This journal provides full open access to its content on the principle that making research freely available to the science community and ...