Article Per Year (5 Year)
p-Index From 2021 - 2026
1.909
P-Index
This Author published in this journals
All Journal JUPIIS: Jurnal Pendidikan Ilmu-ilmu Sosial Equilibrium: Jurnal Ilmiah Ekonomi, Manajemen dan Akuntansi CIVITAS: Jurnal Studi Manajemen PERSPEKTIF Enrichment : Journal of Management Jurnal Manajemen, Ekonomi, Keuangan dan Akuntansi EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) Insight Management Journal JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat Inovasi Jurnal Ilman: Jurnal Ilmu Manajemen Jurnal Manajemen Dan Akuntansi Medan
Wardayani
Sekolah Tinggi Ilmu Manajamen Sukma
Humanities Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : PERSPEKTIF

 1 
Analisis Potensi Kebangkrutan: Perbandingan Model Altman dengan Zavgren Wardayani Wardayani; Azhar Maksum
PERSPEKTIF Vol 9, No 2 (2020): PERSPEKTIF Juli
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3946

Abstract

This study is aimed to compare two methods to determine the potential for bankruptcy of the company. The method used is the Altman (Z Score) and Zavgren (Logit Analysis) models. The Z Score model is a method to predict the financial difficulties, where the score value on the Altman Z Score classifies whether a company being bankrupt or not. Zavgren developed bankruptcy prediction model with Logit Analysis which divide bankruptcy classifications. The identification problem in this research are the decline in profits occurred from the end of 2016 until 2018, and the mismatch of the increase in profits to the increase the number of assets in the Cosmetics Company, through the use of secondary data from the Indonesia Stock Exchange of companies with code MRAT, KINO, TCID, dan MBTO. Thus, the financial state of cosmetics companies listed on the Indonesia Stock Exchange (BEI) during the 2016 to2018, according to the Altman Z Score model can be categorized into 2 criteria, they are: Gray Area; MBTO and Sound Area: MRAT, KINO and TCID. Meanwhile, based on the Zavgren model, MRAT, KINO, TCID and MBTO were declared as Sound.
Pengukuran Kinerja Bank Perkreditan Rakyat di Indonesia dengan Pendekatan Quantitative Aspect Supriyanto Supriyanto; Sisca Mediyanti; Ramadhan Razali; Rita Nengsih; Wardayani Wardayani
PERSPEKTIF Vol 9, No 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3934

Abstract

This study is aimed to measure Rural Bank performance through a Quantitative Aspect approach based on the RGEC Methods. The financial ratios used are Loan to Deposit Ratio, Non-Performing Loans, and Return on Assets, The objects of the research are the Conventional Rural Banks in Indonesia with totally 1,545 companies, where whole population being the study sample. The data calculated were conveyed from the Indonesian Banking Statistics Period 2015 - 2019, through the Financial Services Authority website, then being analyzed by using Descriptive Statistics method. Descriptive statistical method is a way of collecting and presenting data in the form of data centralization so that the data provide useful information. The results of the study shows that the Performance of Rural Credit Banks in Indonesia in the 2015 - 2018 period based on the quantitative aspect approach was generally stated as good category. By considering the height of NPL, it is indicated that Rural Bank Management is more prudent in providing financing which is marked by good category LDR value.. The positive impact of the management's prudent way is the high level of Rural Banks profitability that is measured by the ROA value in good category.
Pengukuran Kinerja Bank Perkreditan Rakyat di Indonesia dengan Pendekatan Quantitative Aspect Supriyanto Supriyanto; Sisca Mediyanti; Ramadhan Razali; Rita Nengsih; Wardayani Wardayani
PERSPEKTIF Vol. 9 No. 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3934

Abstract

This study is aimed to measure Rural Bank performance through a Quantitative Aspect approach based on the RGEC Methods. The financial ratios used are Loan to Deposit Ratio, Non-Performing Loans, and Return on Assets, The objects of the research are the Conventional Rural Banks in Indonesia with totally 1,545 companies, where whole population being the study sample. The data calculated were conveyed from the Indonesian Banking Statistics Period 2015 - 2019, through the Financial Services Authority website, then being analyzed by using Descriptive Statistics method. Descriptive statistical method is a way of collecting and presenting data in the form of data centralization so that the data provide useful information. The results of the study shows that the Performance of Rural Credit Banks in Indonesia in the 2015 - 2018 period based on the quantitative aspect approach was generally stated as good category. By considering the height of NPL, it is indicated that Rural Bank Management is more prudent in providing financing which is marked by good category LDR value.. The positive impact of the management's prudent way is the high level of Rural Banks profitability that is measured by the ROA value in good category.
Analisis Potensi Kebangkrutan: Perbandingan Model Altman dengan Zavgren Wardayani Wardayani; Azhar Maksum
PERSPEKTIF Vol. 9 No. 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3946

Abstract

This study is aimed to compare two methods to determine the potential for bankruptcy of the company. The method used is the Altman (Z Score) and Zavgren (Logit Analysis) models. The Z Score model is a method to predict the financial difficulties, where the score value on the Altman Z Score classifies whether a company being bankrupt or not. Zavgren developed bankruptcy prediction model with Logit Analysis which divide bankruptcy classifications. The identification problem in this research are the decline in profits occurred from the end of 2016 until 2018, and the mismatch of the increase in profits to the increase the number of assets in the Cosmetics Company, through the use of secondary data from the Indonesia Stock Exchange of companies with code MRAT, KINO, TCID, dan MBTO. Thus, the financial state of cosmetics companies listed on the Indonesia Stock Exchange (BEI) during the 2016 to2018, according to the Altman Z Score model can be categorized into 2 criteria, they are: Gray Area; MBTO and Sound Area: MRAT, KINO and TCID. Meanwhile, based on the Zavgren model, MRAT, KINO, TCID and MBTO were declared as Sound.
Co-Authors Aida Kartika Surya Anis Kurni Azhar Maksum Cindy Arfiana Deni Syahputra Deswita Maharani Dewi Anggraini Dian Sri Wahyuni Dina Hasanah Eliana Eliana Elserra Siemin Ciamas Emilda Kadriyani Ermad M.J Fani Sartika Iga Faradila Iin Manisna Nainggolan Intan Novia Astuti Irfan Febrianto Lia Suci Ramadhani Miswanto Miswanto Nurhayati Nurhayati Nurlinda Putra, Rismaja Rahmadani Rahmadani Razali, Ramadhan Rita Nengsih Rita Nengsih Rizki Kumala Sepdwiyana Donargo Sisca Mediyanti Sisca Mediyanti Sri Delima Wati Sugianto Supriyanto Supriyanto Syahmalia Putri Ulfa Maulidza Shafira Yuliyasari Br Ginting Zainal Ziekri R Praya Zulkifli Umar