Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING

Analysis of the Influence of CAR, LDR, NIM, BOPO, and NPL on Profitability in Conventional Banking Companies Listed on the IDX in 2017-2021 Hutahuruk, Marice Br; Sudarno, Sudarno; Valencia, Erica; Angelina, Dian; Priyono, Priyono
International Conference on Business Management and Accounting Vol 2 No 2 (2024): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v2i2.4381

Abstract

This research aims to determine the effect of CAR, LDR, NIM, BOPO and NPL on profitability in conventional banking companies listed on the IDX in 2017-2021. This study uses secondary data. The sample technique in this study used purposive sampling. The number of samples obtained were 20 companies. The analytical method of this research uses descriptive analysis and several types of evaluation using the SmartPLS software. From this study it was found that only LDR and BOPO had a significant effect on profitability (ROA). Meanwhile, CAR, NIM and NPL have no significant effect on profitability (ROA).
Human Resource Analytics Strategy to Optimize Digital Business Accounting Processes SD, Surya Safari; Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Panjaitan, Harry Patuan; Hutahuruk, Marice Br; Yovita, Indri; Cecilia, Cecilia; Wahid, Nabila; Veronica, Kristy
International Conference on Business Management and Accounting Vol 3 No 2 (2025): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i2.5125

Abstract

The study seeks to generate novel insights into how HR analytics can serve as a strategic lever, moving beyond conventional HR metrics to drive improvements in process performance, employee competencies, and organizational agility. The study seeks to generate novel insights into how HR analytics can serve as a strategic lever, moving beyond conventional HR metrics to drive improvements in process performance, employee competencies, and organizational agility. This study adopts a qualitative exploratory design to understand how organizations leverage Human Resource Analytics (HRA) to optimize digital business accounting processes. To address the novelty of exploring how HRA supports digital accounting (an under-researched link), this study will focus on cross-functional perspectives, collecting data from both HR and accounting leaders rather than HR alone. The findings reveal that when HRA is applied cross-functionally, it becomes a powerful enabler of digital transformation by identifying skill gaps, informing targeted training, and improving accounting process outcomes such as accuracy and efficiency. HR and Finance leaders should collaborate to embed HR analytics into transformation projects, ensuring that skill gaps are identified and addressed proactively.