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BIAYA PROMOSI, PANGSA PASAR DAN PROFITABILITAS PERBANKAN INDONESIA TAHUN 2010-2017 Andi Ruslan; Cepi Pahlevi; Syamsu Alam; Mursalim Nohong
SIMAK Vol 17 No 01 (2019): Jurnal Sistem Informasi, Manajemen dan Akuntansi (SIMAK)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35129/simak.v17i01.65

Abstract

The purpose of this study is to obtain empirical evidence of the effect of promotional costs on market share of third party funds and bank profitability (ROA). The sample using bank that publishes financial statements in full during 2010-2017 and is included in Books 3 and 4 categories related to business activities and office networks based on bank core capital. The data analysis technique in this study is path analysis with AMOS software (Analysis of Moment Structure). The results show that promotion costs have a positive and significant effect on DPK market share, promotion costs have a positive but not significant effect on bank profitability, market share deposits have a positive and significant effect on bank profitability. Promotion costs have a positive and significant positive effect on bank profitability through DPK market share.
Determinan Capital Buffer Pada Industri Perbankan Di Indonesia Lasty Agustuty; Andi Ruslan
Movere Journal Vol 1 No 2 (2019)
Publisher : Sekolah Tinggi Ilmu Ekonomi (STIE) Tri Dharma Nusantara Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53654/mv.v1i2.43

Abstract

This study aims to analyze the factors that influence capital buffers in the banking industry in Indonesia. Research variables include bank size, liquidity, credit risk, efficiency and profitability as independent variables and capital buffers as the dependent variable. The method used in this study is quantitative research. This research was conducted at public banks on the Indonesia Stock Exchange category BOOK 3 and BOOK 4, with the 2014-2018 research period using multiple linear regression analysis techniques. The results showed that the size of the company did not have a significant effect on capital buffer, while liquidity, credit risk, efficiency and profitability had a significant effect on capital buffer.