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All Journal Journal of Economic, Bussines and Accounting (COSTING) JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) SULTANIST: Jurnal Manajemen dan Keuangan Community Engagement and Emergence Journal (CEEJ) Jurnal Ekonomi Bisnis Manajemen Prima Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Law, Administration, and Social Science COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Ekonomika Dan Bisnis Jurnal Manajemen Stratejik dan Simulasi Bisnis Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Kegiatan Pengabdian Mahasiswa (JKPM)
Ariesa, Yeni
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Financial Performance Effect on Credit Distribution in Banking Sector Nyolinda, Jesslyn; Ariesa, Yeni; Erika, Erika; Veri, Veri
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3162

Abstract

The purpose of this research is to evaluate the relationship of_LDR, ROA, NPL, CAR towards credit supply of BEI-listed banking sector within the period of 4 years, which is during 2016-2019. The method utilized for this research is descriptive quantitative. There are 45 companies at the banking sector listed by BEI, however only 26 companies fulfill the criteria according to the sampling purposive technique; in which we will consider as the sample of this research.The data processing involves the usage of Structural Equation Model (SEM) with Partial Least Square (PLS) approach. PLS analysis is conducted by using the software SmartPLS 3.0. The result of data processing shows partially that variable LDR, ROA and NPL has positive relationship towards credit supply of the banking sector. On the other hand, variable CAR shows a partial negative relationship towards credit supply of the banking sector. Simultaneously, all four variables has a significant relationship towards the credit supply. It is signified by the amount of R2 which is 13,5%, and the rest of 86,5% is influenced by other factors.
Co-Authors Acai Sudirman Angela, Veren Angelia, Kalina Angelina, Xaviera Ansarika, Roy Dedi Aruan, Nurmaya Sopia Chandra, Joseph Paul christian christian Christina Cia, Grace Darmasaputra, Albert David Pang Emmanuel, Alexandrio Erika Erika Fahlevi, Mochammad Felim, Nicholas Fong, Fandi Fransisca Fransisca Ginting, Emya Pebina Br Ginting, Kristi Endah Ndilosa Gunawan Gunawan Hutagalung, Daffa Maulana Mirza Indra, Kelvin Handika Juli Meliza Kamal, Jakson Kendy, Kendy Lutfiana, Wina Nyolinda, Jesslyn Papili, M.Mora Syarif Prabowo, Vincent Rischa, Rischa Sahbana, Agung Sembiring, yenita Sentany, Cecilia Silitonga, Aldi Neri Simarmata, Felix Aristo Gradianto Sinulingga, Trilia Anisa Stiven, Stiven Surya, Vincent Alain Syahbana, Agung Syahputri, Nia Tambun Saribu, Holfian Daulat Tanady, Alvin Tania, Felisha Tarigan, Natalia Widya Pasca Tarigan, Sri Ninta Tri Siwi Agustina Veri, Veri Wati, Fenny Yan, Vania