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All Journal Jurnal Ilmiah Ekonomi dan Manajemen JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI
Devita Nurwulan
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Other

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PENERAPAN SISTEM AKUNTANSI PADA PERUSAHAAN “ROTI BAKAR PANJO” Tika Permata Asri; Tri Handoyo; Devita Nurwulan; Oon Feryanto
JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Vol. 2 No. 2 (2025): Maret
Publisher : CV. KAMPUSA AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jemba.v2i2.769

Abstract

The research discusses the implementation of sales, purchasing and payroll accounting systems at the Roti Bakar Panjo UMKM company which uses the Moka and Microsoft Excel applications as operational tools. The research was conducted using qualitative methods through interviews and observations. The research results show that in the Moka application there is still a problem of mismatching inventory data with physical conditions and the manual payroll system with Excel becomes less efficient as the number of employees increases. To overcome these obstacles, it is recommended to implement a more integrated application, such as Talenta for the payroll system, as well as improving features in the Moka application to support more accurate and efficient data management. With this step, the company is expected to be able to improve the performance of its accounting system and support sustainable business growth.
INOVASI TANPA BATAS POTENSI AI DALAM MENCIPTAKAN SISTEM TRANSAKSI KEUANGAN DIGITAL Devita Nurwulan; Fiqri Cahya Maulana; Tri Handoyo Prisasti
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 3 No. 6 (2025): Juni
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v3i6.5401

Abstract

In this era of digitalization, artificial intelligence (AI) has emerged as one of the most revolutionary innovations, paving the way for efficiency, speed, and security in various financial transactions. This study employs a literature review method with a qualitative approach. According to Sugiyono (2019), descriptive qualitative research aims to gain a deep understanding of phenomena through the analysis of secondary data such as books, journals, and related documents. The advancement of AI in creating financial reports minimizes human error and increases the speed of completion. Additionally, this technology is capable of performing predictive analysis, providing companies with deeper insights into their financial conditions. The implementation of artificial intelligence (AI) in digital financial transaction systems has opened a new chapter in the financial world, making it more efficient, secure, and inclusive. AI enables process automation, enhanced data security, and personalized services that address the needs of modern society
Co-Authors Fiqri Cahya Maulana Oon Feryanto Tika Permata Asri Tri Handoyo Tri Handoyo Prisasti