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Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 29649846     DOI : https://doi.org/10.55927/snimekb.v2i2
Core Subject : Economy, Science, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences
Prosiding ini berisi makalah-makalah yang telah dipaparkan dalam kegiatan Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis (IMEKB) yang diselenggarakan setiap 2 semester, tema IMEKB akan berbeda-beda sesuai dengan isu-isu bisnis-ekonomi terbaru yang sedang terjadi di sekitar kita. Prosiding IMEKB tahun 2022 merupakan prosiding pertama Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis (IMEKB) yang diselenggarakan oleh Formosa Publisher pada tahun 2022. Saat ini Prosiding terdaftar dengan E-ISSN 2964-9846. Prosiding SN-IMEKB bertujuan untuk menyediakan media bagi para pendidik, peneliti, cendekiawan, praktisi, dan mahasiswa dari berbagai latar belakang untuk mempresentasikan dan mendiskusikan penelitian, pengetahuan, dan inovasi mereka yang relevan dengan tema seminar. Berbagai makalah hasil penelitian dan pendampingan masyarakat di bidang ilmu ekonomi, bisnis, keuangan, manajemen, . Seluruh makalah telah mengalami proses peer review dan telah dipresentasikan dalam sesi Call for Proposal.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 3 No. 2 (2024): November 2024" : 5 Documents clear
Application of Artificial Intelligence Technology to Improve Responsiveness and Speed of Operations in Organizations Silalahi, Verry Albert Jekson Mardame; Wardani, Febri Pramudya
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 2 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i2.12645

Abstract

This research explores the application of artificial intelligence (AI) to improve the responsiveness and speed of organizational operations. In the digital era, AI is crucial in optimizing business processes by automating tasks, analyzing real-time data, and supporting data-driven decision-making. The study shows that AI plays a crucial role in accelerating market response, supply chain efficiency, and human resource management. While AI provides a competitive advantage, its success requires infrastructure readiness, workforce skills, and risk management. The results of this study offer effective AI implementation strategies and recommendations for further research on the long-term impact of AI on organizations and employees.
Application of Artificial Intelligence Technology to Improve Responsiveness and Speed of Operations in Organizations Bakar, Rochmad Abu; Hadiyati, Ayuni Asita
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 2 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i2.12646

Abstract

This service aims to encourage the use of Artificial Intelligence (AI) technology in increasing the effectiveness of Advocates' work. The service process is carried out through literature studies and qualitative analysis that identify the role of AI in the four stages of Advocate case management. Of the four stages, not all can be assisted by AI because they are limited in handling complex human, intuitive, and ethical aspects. The implementation method includes collecting data from journals, books, and legal sources, processed to develop an effective AI application strategy for Advocates. The service is carried out in stages over several months. The results show that AI can accelerate legal analysis and support strategy in the planning stage, but still requires human involvement at other stages. The implication of using AI is increased efficiency, without replacing the important role of Advocates in aspects of legal complexity.
Artificial Intelligence (AI) as a Predictive Tool to Anticipate Future HR Management Needs Muliarta, I Nengah
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 2 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i2.12647

Abstract

Artificial intelligence (AI) in human resource management (HR) opens up opportunities for increased effectiveness and efficiency in various tasks, such as training, recruitment, and performance management. The purpose of this article is to look at and analyze how AI can serve as a predictive tool to anticipate future HR needs. This includes identifying the problems organizations face when implementing AI and providing solutions. The role of AI as a predictor tool in determining future human resource needs is discussed in this article through a literature review. This methodology aims to provide a comprehensive understanding of how AI can be used to predict future needs and work styles. As a result, AI has the potential to be a predictive tool for HR development, as it can assist organizations in designing the right training programs, managing employee careers, and improving performance analysis. Including the ability to analyze data and provide valuable insights.
AI-Based Digital Literacy Development Strategy in Preparing Students to Be Globally Competitive: A Case Study at the Institute of Islamic Religion At Taqwa Bondowoso Hadi, Mokhamad Yaurizqika; Muhlishoh, Humairoul
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 2 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i2.12648

Abstract

This research formulates a strategy for developing AI-based digital literacy to prepare globally competitive students at At Taqwa Bondowoso Islamic Institute. Digitalization in higher education is an urgent need so that graduates have skills according to the demands of the times. A qualitative method with a case study approach was used through interviews, observation, and documentation. The results found three main strategies: (1) increasing digital literacy for the entire academic community, (2) integrating an information and communication technology-based curriculum that supports religious knowledge and global skills, and (3) institutional collaboration with external parties to support digital transformation. The implementation of this strategy is expected to create religious higher education institutions that are adaptive to the digital era and produce globally competitive graduates.
Application of the Resource Base View-Based Artificial Intelligence Model to Create Competitive Advantage for MSME Exports in Pontianak City Hasibuan, Rizki Alfitra; Hasbyanti, Hasbyanti; Fariyanda, Rosan; Jeffy, Izha Fadlam; Narandi, Thomas
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 2 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i2.12649

Abstract

The performance of Indonesian MSMEs plays an important role in economic growth, with their contribution to GDP reaching 60.34% in 2017. However, Indonesian MSMEs still face challenges, such as low product quality and limited competitiveness, especially in the global market. One proposed solution is the Resource-Based View (RBV) method to improve the competitive advantage of MSMEs. This research develops an RBV model with the support of Artificial Intelligence (AI) technology, aimed at mapping the strategic resources of MSMEs. This research focuses on Pontianak City MSMEs that have carried out export activities analyzed using the Analytical Hierarchy Process (AHP) method. This research created an RBV-based AI framework to assess and manage strategic resources to gain competitive advantage.

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