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The Eastasouth Journal of Information System and Computer Science
Published by Eastasouth Institute
ISSN : 30266041     EISSN : 3025566X     DOI : https://doi.org/10.58812/esiscs
Core Subject : Science,
Computer Science & IT
ESISCS - The Eastasouth Journal of Information System and Computer Science is a peer-reviewed journal and open access three times a year (April, August, December) published by Eastasouth Institute. ESISCS aims to publish articles in the field of Enterprise systems and applications, Database management systems, Decision support systems, Knowledge management systems, E-commerce and e-business systems, Business intelligence and analytics, Information system security and privacy, Human-computer interaction, Algorithms and data structures, Artificial intelligence and machine learning, Computer vision and image processing, Computer networks and communications, Distributed and parallel computing, Software engineering and development, Information retrieval and web mining, Cloud computing and big data. ESISCS accepts manuscripts of both quantitative and qualitative research. ESISCS publishes papers: 1) review papers, 2) basic research papers, and 3) case study papers. ESISCS has been indexed in, Crossref, and others indexing. All submissions should be formatted in accordance with ESISCS template and through Open Journal System (OJS) only.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 80 Documents
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Transforming Commerce: A Bibliometric Exploration of E-Commerce Trends and Innovations in the Digital Age Legito Legito; Eva Andriani
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i01.129

Abstract

The digital era has ushered in a transformative shift in commerce, culminating in the rise of e-commerce as a dominant force in the global market. This study employs a comprehensive bibliometric analysis, utilizing VOSviewer, to delve into the intricate fabric of e-commerce trends and innovations within the context of the digital age. Through the exploration of publication trends, co-authorship networks, keyword clustering, citation patterns, and emerging technologies, this research maps the intellectual terrain of e-commerce research. The findings illuminate the multidimensional evolution of e-commerce, from personalized mobile experiences to the integration of cutting-edge technologies. The analysis highlights pivotal contributions, collaborative dynamics, and emergent themes, providing a holistic understanding of how commerce has been reshaped in the digital age.
Emerging Technologies and Marketing Strategy: A Bibliometric Review of Digital Marketing and Innovation Legito Legito; Eva Andriani
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i01.130

Abstract

The landscape of marketing strategies is undergoing a profound transformation fueled by the rapid emergence of technologies. This study employs a comprehensive bibliometric analysis to explore the dynamic relationship between emerging technologies, marketing strategies, digital marketing, and innovation. Through co-citation analysis, bibliographic coupling, keyword co-occurrence analysis, and VOSviewer visualizations, the research objectives are achieved, unraveling trends, influential authors, institutions, and research themes within the multidimensional field. Findings underscore the multidisciplinary nature of the domain, highlighting clusters ranging from customer satisfaction and digital platforms to market orientation and social media marketing. Prominent keywords like "Social Medium," "Performance," and "Digital Transformation" reveal the industry's focus on platforms, effectiveness assessment, and adaptability. Keywords with fewer occurrences, such as "Product Innovation" and "Artificial Intelligence," pinpoint specialized areas of exploration. The study contributes a holistic understanding of the evolving relationship between emerging technologies and marketing strategies, informing future research directions and guiding innovative practices in the digital era.
Knowledge Management in the Digital Age: Harnessing Information and Innovation with Knowledge Management Systems Nurnaninsih A; Ahmad Muktamar B; Hanifah Nurul Muthmainah
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i01.131

Abstract

In the dynamic landscape of the digital age, effective knowledge management has become paramount for organizations aiming to harness information and drive innovation. This research paper delves into the intricate interplay between knowledge management, information leveraging, and innovation within the context of the digital era. Leveraging the power of bibliometric analysis, this study examines the trends, influential authors, key concepts, and research gaps in the field. Knowledge Management Systems (KMS) emerge as crucial tools, facilitating the storage, sharing, and creation of knowledge. By systematically analyzing scholarly literature, this research contributes to a comprehensive understanding of knowledge management's evolving role in the digital age, shedding light on its implications for both theory and practice.
Mapping the Landscape of E-Business Systems: A Bibliometric Review and Future Research Directions Fryda Fatmayati; Hanifah Nurul Muthmainah
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i01.133

Abstract

This research paper presents a comprehensive bibliometric review of the e-business systems landscape, analyzing publication trends, citation patterns, influential authors, and prevalent research themes. E-business systems, driven by technological advancements and changing consumer behaviors, have reshaped modern business practices. Through systematic data collection and analysis, this study reveals the evolution of research within this dynamic field. The findings underscore the interdisciplinary nature of e-business systems, spanning information technology, strategy, marketing, and more. The identification of influential authors, prevalent themes, and emerging directions provides a roadmap for scholars, practitioners, and policymakers to navigate the evolving landscape of e-business systems.
Revolutionizing Business Operations: A Bibliometric Analysis of Enterprise Systems and Organizational Efficiency Nanny Mayasari; Eva Andriani; Anas Romzy Hibrida
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i01.134

Abstract

This research paper presents a comprehensive bibliometric analysis focused on the intersection of enterprise systems and organizational efficiency, with the aim of understanding their role in revolutionizing business operations. The study examines the scholarly landscape surrounding Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM) systems. Through a meticulous exploration of peer-reviewed articles, the analysis identifies key trends, influential authors, significant themes, and research gaps within the domain. By synthesizing and analyzing a vast body of literature, this study offers insights into the evolution of enterprise systems, their implications for organizational efficiency, and directions for future research.
Implementation of Enterprise Resource Planning (ERP) Based Information System Using Odoo Software Mega Putri Utami; Ivana Lucia Kharisma
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.161

Abstract

Management and good data management is something that is very important for the continuity of a company. With management in a company, it is expected that all actions or activities carried out will run well and be controlled. The research focused on the use of an Enterprise Resource Planning (ERP) Based Information System using the odoo software used in the Purchasing & Materials department or more specifically known as PPIC. The purpose of this research is to find out how the use of ERP technology can facilitate coordination and communication between users so as to produce fast decision making. The implementation of this information system is expected to be one of the solutions in overcoming the problems that exist at PT Longvin Indonesia, especially the PPIC department.
Ethics of Artificial Intelligence: Dialectics of Artificial Intelligence Policy for Humanity Khairul Syafuddin
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.178

Abstract

Artificial Intelligence is now widely used by humans. The use of this technology is based on the view that Artificial Intelligence can make their lives easier. Many sectors have utilized this technology, including government, private, social, health, to education. Even though Artificial Intelligence is felt to have many benefits, there are perceived threats so that appropriate policies are needed. Thus, the aim of this research is to find out policies that can be recommended for the use of Artificial Intelligence that focus on humanitarian aspects. This research uses a qualitative approach to deepen the literature review that has been carried out. The results of this research show that the presence of Artificial Intelligence provides quite large benefits, especially as a technology for predicting the future. However, to regulate the use of this technology, appropriate policies are needed to avoid increasingly widespread digital crimes. In formulating Artificial Intelligence policies, humanitarian aspects need to be considered to provide appropriate protection. Especially for vulnerable groups who have low access to the use of Artificial Intelligence.
The Influence of Strategic Planning and Analytical Maturity on Organizational Performance in Implementing Business Intelligence in Indonesia Eri Mardiani; Ivon Arisanti; Diky Wardhani; Ni Desak Made Santi Diwyarthi
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.180

Abstract

This research delves into the dynamics of intricate Business Intelligence (BI) deployments in Indonesian startups, emphasizing the interplay of organizational performance, analytical maturity, and strategic planning. Structural Equation Modeling with Partial Least Squares (SEM-PLS) was utilized in the study, which had 187 individuals from several industries, to examine the linkages and extract significant findings. The results showed three strong positive relationships: organizational performance is positively impacted by strategic planning, analytic maturity has a considerable impact on organizational performance, and strategic planning influences analytic maturity. Large impact sizes and statistical robustness characterize these practically meaningful associations. This study adds to our understanding of BI adoption in the particular setting of startups by highlighting the crucial roles that mature analytics and strategic planning play in fostering organizational success.
The Impact of Scalability and Consistency Management on Database Management System Performance in Big Data Environment in Indonesia Eri Mardiani; Yesi Sriyeni; Astrid Napita Sitorus; Hanifah Nurul Muthmainah
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.181

Abstract

The swift expansion of technology start-up enterprises in Indonesia demands a deep comprehension of the variables impacting the functionality of Big Data Environments (BDE) and Database Management Systems (DMS). In the context of Indonesian start-ups, this study examines the effects of scalability and consistency management on DMS and BDE. Data from 134 participants were examined using Structural Equation Modeling (SEM-PLS) in a quantitative manner. The findings showed a strong favorable correlation between DMS -> BDE, Scalability -> DMS, and Consistency Management -> DMS. Strong reliability was exhibited by the measurement model, and discriminant validity was verified. While the model fit indices revealed places for improvement, the R Square values indicated an effective explanation of variation. An overview of Indonesian start-up characteristics that is representative was given by the demographic sample study. This research adds knowledge for improving big data and database operations in the dynamic startup environment.
The Influence of Data Quality and Machine Learning Algorithms on AI Prediction Performance in Business Analysis in Indonesia Loso Judijanto; Donny Muda Priyangan; Hanifah Nurul Muthmainah; I Wayan Jata
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.182

Abstract

This research investigates the intricate relationships among AI prediction performance, business analysis, data quality, and machine learning algorithms within the manufacturing sector in Indonesia. Through structural equation modeling analysis, the study explores the impact of these variables on one another, shedding light on the dynamics that contribute to successful AI adoption and business decision-making. The findings underscore the pivotal role of data quality in influencing AI prediction performance and machine learning algorithms, ultimately shaping the effectiveness of business analysis. The results provide practical insights for manufacturing companies seeking to optimize their data management practices and harness the potential of advanced technologies for strategic decision-making.

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