Angel Sri Monika Sijabat
Universitas Negeri Medan

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Studi Literatur Pengaruh Sistem Pre-Order dalam Penyusunan Anggaran Produksi Perusahaan Angel Sri Monika Sijabat; Ferdy Faith Christ Waruwu
Jurnal Ilmu Ekonomi dan Bisnis Vol 4 No 1 (2026): April, Jurnal Ilmu Ekonomi dan Bisnis
Publisher : Perkumpulan Konsultan Manajemen Pendidikan Indonesia (PKMPI)

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Abstract

Production budgeting is an important aspect of a company's operational activities because it is closely related to production planning, cost control, and resource management. Inaccurate demand forecasting may result in overproduction or underproduction, which can increase operational costs and reduce company efficiency. One strategy that can be implemented to overcome this problem is the pre-order system, which is a production system based on customer orders before the production process begins. This study aims to analyze the influence of the pre-order system on the preparation of production budgets through a literature review approach. The research method used in this study is a literature review with a descriptive qualitative approach. The data were obtained from various journals, scientific articles, books, and academic references related to the pre-order system, production planning, and production budgeting. The results of the study indicate that the pre-order system helps companies improve the accuracy of production budgeting because production quantities are adjusted to actual customer demand. In addition, the pre-order system also helps companies reduce raw material waste, minimize inventory storage costs, improve resource efficiency, and maintain cash flow stability. Therefore, the pre-order system can be considered an effective strategy in supporting more efficient, realistic, and market-oriented production budgeting.
Peran Kecerdasan Buatan dalam Inovasi Bisnis: Studi Kasus Penerapan AI di Sektor Keuangan dan E-Commerce Angel Sri Monika Sijabat; Grace Stela Zane Simamora; Leoni Geraldin Br. Simamora
Jurnal Ilmu Ekonomi dan Bisnis Vol 1 No 2 (2023): Oktober, Jurnal Ilmu Ekonomi dan Bisnis
Publisher : Perkumpulan Konsultan Manajemen Pendidikan Indonesia (PKMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65510/jieb.v1i2.114

Abstract

Artificial intelligence (AI) has become an important component in driving digital transformation and business model innovation in various industry sectors. This research aims to comprehensively examine the role and impact of AI in the finance and e-commerce sectors as two of the most dynamic areas of technology adoption. Using a desk study approach of ten recent scientific journals, this research evaluates the contribution of AI in improving operational efficiency, decision-making accuracy, customer service personalization, and financial inclusion through digitization. The results show that AI can drive risk management efficiency, accelerate digital financial services, and improve user experience in e-commerce through automation and intelligent recommendation systems. However, the implementation of AI is also faced with ethical challenges, such as data privacy issues, algorithm bias, and limited adequate regulations. This research also highlights the importance of strengthening human resource competencies and supporting MSME players in facing the AI-based business era. Thus, AI has the potential to be the main driver of innovation and business sustainability in the future if integrated ethically, inclusively, and strategically