Article Per Year (5 Year)
p-Index From 2019 - 2024
1.235
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL FIAT JUSTISIA Seminar Nasional Informatika (SEMNASIF) PADJADJARAN Jurnal Ilmu Hukum (Journal of Law) Jurnal Salaka : Jurnal Bahasa, Sastra, dan Budaya Indonesia Jurnal Performa : Jurnal Manajemen dan Start-up Bisnis Jurnal Ilmiah Teknik Mesin Poros Jurnal Teknik Industri Jurnal Pengabdian Mitra Masyarakat (JPMM) JURNAL SALAKA Jurnal Bahasa, Sastra, dan Studi Amerika JURNAL MITRA MANAJEMEN
Rudy Rudy
Unknown Affiliation
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Teknik Industri

 1 
ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE ALTMAN MODIFIKASI, SPRINGATE, DAN GROVER PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA MULYADI MULYADI; RUDY RUDY; HIDAYAT DARWIS
JURNAL TEKNIK INDUSTRI Vol 6, No 2 (2017): JURNAL TEKNIK INDUSTRI
Publisher : JURNAL TEKNIK INDUSTRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jtin.v6i2.228

Abstract

The purpose of this study is to find out how the condition of the company after using the prediction model Altman Modified, Springate, Grover and to see which prediction model has the highest level of accuracy in predicting the potential occurrence of financial distress on property and real estate companies. The method used is quantitative descriptive method. The results obtained from this study are Model Altman Modified predicts 9 samples potentially experiencing financial distress, 12 samples are in the gray zone, and 49 samples are predicted not potentially experiencing financial distress. In Springate Model predicts 43 samples potentially experiencing financial distress and 27 other samples did not have the potential to experience financial distress. While the Grover Model predicts 62 samples are not potentially experiencing financial distress and 8 others are predicted to potentially experience financial distress. Of the three prediction models, the Springate Model received the lowest error rate in predicting financial distress with a percentage error of 31% so that this prediction model was selected as a recommendation in predicting financial distress in property and real estate firms.Keywords: Financial Distress, Altman Modified, Springate, Grover
Co-Authors Adi Chandra Aditya Riky Nugroho Agustinus Agustinus Agustinus Purna Irawan Anita Novianti Choriana Choriana HIDAYAT DARWIS Indra Iman Sumantri Jeremy Stanley Jusri Efendi Pohan Martha Riananda Mulyadi Mulyadi Natalini Natalini Ratih Wihardani Reinaldi Reinaldi Retno Wahyudiarti Sadieli Telaumbanua Sasmita Sari Ardaninggar Suyan alias Wati Teguh Trianton Utama, Didi Widya utia meylina Victorano Megaputri Yuan Setyadi Zara Elisabeth Tanring