Jurnal Ilmiah Universitas Batanghari Jambi
Vol 23, No 3 (2023): Oktober

Prediksi Financial Distress Menggunakan Model Artificial Neural Network pada Perusahaan Perhotelan yang Terdaftar di BEI Tahun 2017-2021

Natasya Salsabila Nafis (Unknown)
Farida Titik Kristanti (Unknown)
Hanif Kurniawan Atmanto (Unknown)



Article Info

Publish Date
30 Oct 2023

Abstract

This study aims to determine early warning models, differences in calculation results, and prediction results of financial distress using the Artificial Neural Network (ANN) model on data testing of hotel industry companies listed on the Indonesia Stock Exchange (IDX) from 2017-2021. In this study, researchers used quantitative research methods where the results obtained from this study were in the form of numbers or data whose values were numbered. The population in this study are companies Hotels, Resorts & Cruise Lines which are listed on the Indonesia Stock Exchange in 2017-2021 with a total of 17 companies. The data processing procedure in this study begins with calculating financial ratios using Microsoft Excel, then analyzing descriptive statistics, and testing the artificial neural network model using the PYTHON programming language to predict financial distress conditions in companies.

Copyrights © 2023






Journal Info

Abbrev

ilmiah

Publisher

Subject

Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice

Description

Jurnal Ilmiah Universitas Batanghari Jambi adalah peer-review jurnal akses terbuka yang bertujuan untuk berbagi dan diskusi mengenai isu dan hasil penelitian yang lagi hangat pada saat ini. Jurnal ini diterbitkan oleh Lembaga Penelitian dan Pengabdian pada Masyarakat Universitas Batanghari Jambi, ...