PENERAPAN JARINGAN SYARAF TIRUAN BACKPROPAGATION UNTUK PREDIKSI PERTUMBUHAN PERUSAHAAN BERDASARKAN FAKTOR PROFITABILITAS

MAHMUJI, Ali and Mustafid, Mustafid and Farikhin, Farikhin (2017) PENERAPAN JARINGAN SYARAF TIRUAN BACKPROPAGATION UNTUK PREDIKSI PERTUMBUHAN PERUSAHAAN BERDASARKAN FAKTOR PROFITABILITAS. Masters thesis, School of Postgraduate.

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Abstract

Pertumbuhan perusahaan merupakan tolok ukur keberhasilan suatu badan usaha, tolok ukur pertumbuhan dapat diukur melalui faktor probitabilitas, empat faktor profitabilitas yang mempengaruhi pertumbuhan perusahaan yaitu profit margin on sales, profit margin on sales sebelumnya, basic earning power dan return on asset. Empat faktor tersebut sangat penting bagi perusahaan demi berkembangnya suatu badan usaha. Oleh karena itu, setiap badan usaha berusaha mengetahui profitabilitas melalui analisa dan prediksi. Penelitian ini bertujuan untuk menerapkan jaringan syaraf tiruan dalam sistem prediksi pertumbuhan perusahaan berdasarkan faktor profitabilitas. Variabel dalam profitabilitas menggunakan profit margin on sales, profit margin on sales sebelumnya, basic earning power dan return on asset. Komputasi model prediksi menggunakan fungsi sigmoid yang diselesaikan dengan algoritma jaringan syaraf tiruan backpropagation. Nilai prediksi pertumbuhan perusahaan dikatakan turun jika output nilai kurang dari 0, naik jika lebih besar dari 0 dan tetap jika bernilai 0. Dari hasil penerapan jaringan syaraf tiruan backpropagation didapat hasil MAPE saat Training data 0.4% dari total 49 data. Dan MAPE pada data yang belum ditraining 11,1% dengan akurasi 88,9% dengan hasil sangat memuaskan. Dari hasil implementasi tersebut metode backpropagation dapat digunakan untuk memprediksi pertumbuhan perusahaan berdasarkan faktor profitabilitas. Kata kunci: Profitabilitas, Backpropagation, MAPE, Prediksi, Training. Growth of company is a benchmark for the success of a business entity, growth benchmarks can be measured through probitability factors, four profitability factors that affect the growth of the company that is profit margin on sales, profit margin on sales before, basic earning power and return on assets. Four factors are very important for the company for the development of a business entity. Therefore, every business entity tries to know profitability through analysis and prediction. The aim of this research is to apply artificial neural network in prediction system of company growth based on profitability factor. Variables in profitability use profit margin on sales, profit margin on sales before, basic earning power and return on assets. Computational model prediction using sigmoid function that is solved with artificial neural network backpropagation algorithm. The value predicted growth of the company is said decrease if the output value is less than 0, increase if greater than 0 and remain if the value is 0. From the application of artificial neural network backpropagation obtained MAPE results when Training data 0.4% of total 49 data. And MAPE on data that has not been trained 11.1% with an accuracy of 88.9% with very satisfactory results. From the implementation result, backpropagation method can be used to predict company growth based on profitability factor. Keywords: Profitability, Backpropagation, MAPE, Prediction, Train.

Item Type:Thesis (Masters)
Subjects:T Technology > Computer engineering. Embedded system. Network. Softwares. Robotics. Multimedia
Divisions:School of Postgraduate (mixed) > Master Program in Information System
ID Code:57995
Deposited By:Mrs Ekana Perpus Pasca
Deposited On:13 Nov 2017 11:13
Last Modified:13 Nov 2017 11:13

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