Article Per Year (5 Year)
p-Index From 2019 - 2024
3.225
P-Index
This Author published in this journals
All Journal JIMAT (Jurnal Ilmiah Mahasiswa Akuntansi) Undiksha Vokasi: Jurnal Riset Akuntansi Jurnal Ilmiah Akuntansi dan Humanika Jurnal Akuntansi Profesi Ekuitas: Jurnal Pendidikan Ekonomi Journal of Economics, Business, & Accountancy Ventura The Indonesian Accounting Review JIA (Jurnal Ilmiah Akuntansi) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Manajemen Perhotelan dan Pariwisata Ekuitas Jurnal Pnedidikan Ekonomi
Putu Riesty Masdiantini
Universitas Pendidikan Ganesha
Humanities Economics, Econometrics & Finance Education Engineering Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JIA (Jurnal Ilmiah Akuntansi)

 1 
Laporan Keuangan dan Prediksi Kebangkrutan Perusahaan Putu Riesty Masdiantini; Ni Made Sindy Warasniasih
Jurnal Ilmiah Akuntansi Vol 5 No 1: Juni 2020
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jia.v5i1.25119

Abstract

This study aims to determine differences in bankruptcy predictions at company’s sub-sector of cosmetics and household listed on the Indonesia Stock Exchange (IDX) using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model, and to determine the bankruptcy prediction model that is the most accurate of the five bankruptcy prediction models. This study uses secondary data in the form of company financial statements for the period 2014-2018. Data analysis techniques in this study used the Kruskal-Wallis test. The results showed there were differences in bankruptcy predictions using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model. The Zmijewski, Taffler, and Fulmer models have the same accuracy level of 100% so that the three prediction models are the most accurate prediction models for predicting the potential bankruptcy at companies sub-sector of cosmetics and household listed on the IDX.
Credit Decisions Making Through the Use of Information Company’s Financial Performance and Environmental Performance Putu Riesty Masdiantini; Ni Luh Asri Savitri; Sunitha Devi
Jurnal Ilmiah Akuntansi Vol 8 No 1 (2023)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jia.v8i1.53882

Abstract

Before credit is given, the bank must first conduct a credit analysis to ensure that the customer can really be trusted. It is important for loan officers to understand other information or the latest information related to lending. Through the use of data on the company's financial performance and environmental performance, this study seeks to obtain empirical evidence about the provision of loan decisions. This study uses a quasi-experimental design with a 2X2 factorial layout, which is an experimental method. 81 students enrolled in the Bachelor of Accounting Program comprised the sample for this study, which was chosen using a purposive sampling technique and the non-probability method. The Two-Way Analysis of Variance (ANOVA) test was employed in the data analysis process. The study's findings show that credit decisions are significantly impacted by both financial and environmental performance.
Co-Authors Ayu Ladya Sintya Dewi Dewa Ayu Kade Oka Krisnawati Dewi, Gusti Ayu Ketut Rencana Sari Dewi, Putu Eka Dianita Marvilianti I Gede Yoga Ari Punia Nugraha I Gusti Ayu Putri Yuniantari Kadek Sri Wahyuni Komang Buda Mertayasa Lucy Sri Musmini Luh Ari Arini Luh Gede Kusuma Dewi Luh Putu Ayu Kusuma Wardani Luh Putu Ratiani Made Aristia Prayudi Made Riki Ponga Kusyanda Ni Luh Asri Savitri Ni Made Sindy Warasniasih Putu Eka Noviyanti Putu Tia Kertiani Sunitha Devi Tri Wahyuni Oktavia