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BREAK-EVEN POINT (BEP) ANALYSIS OF THE IMPACT OF PAYMENT METHODS AND SALES VOLUME ON HEIHO HEALTHY FOOD CATERING BUSINESS IN DEPOK, 2024 Mutawaqil Bilah Tumanggor; Suhaila Husna Samosir; Sri Fitria Jayusman; Lienda Millania Ladya
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 2 (2026): April
Publisher : CV. Radja Publika

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Abstract

Advances in digital technology have encouraged small and medium-sized enterprises (SMEs) to shift to cashless payment systems, including the Quick Response Code Indonesian Standard (QRIS). This study aims to assess the effect of QRIS implementation on the cost structure, profitability, and break-even point (BEP) of Heiho Healthy Food Catering in Depok in 2024. The method used is BEP analysis, taking into account an additional cost of 0.3% in the form of the Merchant Discount Rate (MDR) for QRIS transactions. The results show that before implementing QRIS, the contribution margin per unit was IDR 21,451.61 with a BEP of 3,131 units. After using QRIS without any adjustment to the selling price, the margin decreased to IDR 21,296.77, and the BEP increased to 3,155 units, indicating a higher risk to profitability if sales decline. However, increasing the selling price by 0.3% to IDR 50,150 per unit raised the margin to IDR 21,446.77, and the BEP decreased to 3,134 units, approaching the level before QRIS implementation. The findings indicate that QRIS can still generate profit, provided that it is accompanied by an appropriate pricing adjustment strategy to maintain margins and business efficiency.
MANAJEMEN TALENTA BERBASIS AI (ARTIFICIAL INTELLIGENCE) DALAM MENINGKATKAN KOMPETENSI SUMBER DAYA MANUSIA (SDM) PADA BANK WAKAF MIKRO MAWARIDRUSSALAM KECAMATAN BATANG KUIS Suhaila Husna Samosir; Mutawaqil Bilah Tumanggor; Muhammad Radian Syah; Riska Dwi Ananda; Maulida Syahputri
Journal Economic Management and Business Vol 5, No 1 (2026)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/jfeb.v5i1.8806

Abstract

Artificial Intelligence (AI) has become one of the most influential technological innovations in the digital era, significantly transforming various sectors, including human resource management. AI technology enables organizations to analyze data rapidly, identify patterns, and support automated decision-making processes, thereby improving employee competency development and talent management effectiveness. The implementation of AI in talent management allows Human Resources (HR) departments to identify employee potential more accurately and design personalized development programs. However, despite its benefits, AI adoption also presents challenges such as algorithmic bias and data privacy issues that may affect employee trust and the credibility of HR management. This research aims to analyze employee competency development in relation to talent management through the application of AI technology. The study applies a literature review approach, followed by interviews, Focus Group Discussions (FGD), and questionnaire development to identify research gaps and gain deeper insights. The expected outputs include scientific publications in accredited national journals and an ISBN-registered book, while the planned Technology Readiness Level (TRL) is at Level 1, focusing on the fundamental understanding of AI technology in talent management.