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Penerapan Sistem Akuntansi pada Perusahaan “Mie Baso Akung” Aiva Tyanka Farahdiva; Fahmi Ilham; Fiqri Cahya Maulana; Neng Anisa Nurul Fadilah
Moneter : Jurnal Ekonomi dan Keuangan Vol. 3 No. 1 (2025): Januari : Moneter : Jurnal Ekonomi dan Keuangan
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/moneter.v3i1.1242

Abstract

This study aims to analyze the implementation of the accounting system at Mie Baso Akung, which is part of the Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. The main focus of this report is to explain the accounting system in the cash sales, purchasing, inventory, and payroll and wages sections. In its work, the author uses qualitative methods through interview techniques and also observation. Based on the results of the study, it was found that most of the processes are still carried out manually by the owner who does not comply with the proper procedures. This indicates the need for the implementation of a more structured system to improve operational efficiency. In addition, this study also identified obstacles in inventory management, which is very important to maintain the availability of raw materials and production efficiency. Therefore, Mie Baso Akung needs to implement a more detailed accounting information system and better internal control in order to improve operational efficiency that can help Mie Baso Akung in managing its finances and operations more effectively.
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