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All Journal Jurnal Akuntansi dan Pajak Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS)
Eka Sri Wahyuni
Universitas Islam Negeri Fatmawati Bengkulu
Humanities Economics, Econometrics & Finance Social Sciences

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FAKTOR-FAKTOR PENYEBAB FINANCIAL DISTRESS DIUKUR MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK PADA PERBANKAN SYARIAH DIINDONESIA Eka Sri Wahyuni
Jurnal Akuntansi dan Pajak Vol 23, No 1 (2022): JAP : Vol. 23, No. 1, Februari 2022 - Juli 2022
Publisher : ITB AAS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jap.v23i1.6009

Abstract

This study aims to determine the factors that affect financial distress measured using the artificial neural network method in Islamic banking in Indonesia, where this study is a quantitative study that uses a data processing tool, namely SPSS version 20. The results of this study show that what affects financial distress when measured using the artficial neural network method is only operating income operating costs (BOPO) which have a significant positive influence while for other facto-factors such as Non Performing Financing (NPF), Financing to Deposit Ratio (FDR) does not have a significant positive influence, after being tested together the three factors that affect financial distress can produce a positive and significant influence.
Manfaat media digital dalam pengembangan promosi paket umrah di PT.AQM Tour and Travel Kota Bengkulu oktaripramudita; Eka Sri Wahyuni; Idwal B
Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS) Vol. 6 No. 1 (2023): Jurnal Ilmiah Akuntansi, Manajemen, dan Ekonomi Islam (JAM-EKIS)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to find out how much benefit digital media has in promoting Umrah packages and what forms of digital media are used by PT. AQM Tour And Travel analysis used is to use qualitative methods. Data collection techniques are carried out by interview observation techniques or direct interviews with sources so that scientific answers, documentation, and literature studies are found. The data sources of this research are primary data and secondary data from research results showing PT. AQM Tour And Travel uses more and makes great use of digital media to promote Umrah packages, and worse for pilgrims it is easier to find information about Umrah and Umrah packages with digital media.
FAKTOR-FAKTOR PENYEBAB FINANCIAL DISTRESS DIUKUR MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK PADA PERBANKAN SYARIAH DIINDONESIA Eka Sri Wahyuni
Jurnal Akuntansi dan Pajak Vol 23, No 1 (2022): JAP : Vol. 23, No. 1, Februari 2022 - Juli 2022
Publisher : ITB AAS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jap.v23i1.6009

Abstract

This study aims to determine the factors that affect financial distress measured using the artificial neural network method in Islamic banking in Indonesia, where this study is a quantitative study that uses a data processing tool, namely SPSS version 20. The results of this study show that what affects financial distress when measured using the artficial neural network method is only operating income operating costs (BOPO) which have a significant positive influence while for other facto-factors such as Non Performing Financing (NPF), Financing to Deposit Ratio (FDR) does not have a significant positive influence, after being tested together the three factors that affect financial distress can produce a positive and significant influence.
Co-Authors Idwal B oktaripramudita