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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 11 Documents
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Search results for , issue "Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)" : 11 Documents clear
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.
Comparative Analysis of Data Visualization Tools: Tableau, Power BI & Looker Patel, Dip Bharatbhai
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.v1i01.432

Abstract

Data visualization tools are now becoming common due to the usability and function that they offer in different sectors. We are in the era of big data, which means that the usability that is needed for data visualization to work on the data is growing. Data is a growing part of our lives as there comes the need for understanding, analyzing, visualizing, and being able to use the data, which is key to how it is being used in various sectors.
The Future of SRE and Observability: Leveraging AI, Automation, and Culture for Resilience Ramdoss, Vasudevan Senathi
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.v1i01.434

Abstract

Modern systems have reached unprecedented complexity levels which requires engineering teams to implement resilient methodologies. This paper examines the evolution of Site Reliability Engineering (SRE) and observability through the lens of emerging technologies including AI and predictive analytics. The selected tools allow engineering teams to build systems which demonstrate reliability while maintaining scalability and efficiency. Modern tool adoption combined with cultural realignment and shared reliability responsibility is essential for companies to remain competitive. Site Reliability Engineering and observability practices extend beyond technical solutions to serve as mechanisms that bring teams together toward common objectives. The research indicates that organizations must both improve continuously and adjust to evolving technological advancements while meeting user expectations.
Reducing Oracle RAC Wait Events by Using Instance-Specific Block Allocation for Production Applications Natti, Murali
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.v1i01.447

Abstract

Oracle Real Application Clusters (RAC) is a robust and high-availability solution designed to enable multiple database instances to share the same physical database, offering benefits such as scalability and fault tolerance. However, while Oracle RAC can support critical production environments, it introduces significant complexities, particularly with regard to wait events. One of the primary performance bottlenecks in Oracle RAC is inter-instance communication, commonly referred to as cache fusion, where instances must exchange and synchronize shared data blocks across the cluster. This overhead becomes particularly problematic for production applications that access commonly used tables or objects, leading to increased wait times, slower response rates, and reduced throughput. This paper outlines a novel approach that aims to alleviate Oracle RAC wait events by binding specific application instances to individual Oracle RAC nodes. By allocating frequently accessed tables or objects to specific nodes, this method reduces contention, optimizes database access, and enhances overall application performance.
The Optimal Sales Funnel for a SaaS Product in Real Estate Goel, Krupa
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.v1i01.449

Abstract

The real estate industry has seen more dependence on SaaS solutions as tools for efficiencies, data, and CRM. However, the best SaaS products are the services they provide and the sales funnel that results in customer acquisition and profitability. This paper aims to review the major steps of the SaaS sales funnel and its application in the real estate industry of Reonomy Company, where these stages involve: awareness, consideration, decision, onboarding, and retention. They all have a significant function of transferring potential buyers from when they get their attention to when they become loyal customers. Many struggles often come with SaaS having high churn rates, which are dangerous for revenues. It also shows how ML can be used in this case to help predict and even prevent churn by defining high-risk customers. Promotional emails, offers, discounts, and dynamic pricing models are discussed as important techniques that address customer churn and retention. Contacting all the users based on real-time data, SaaS companies provide value to both nominally logged-in and highly active customers. Analyzing Reonomy’s application of customer retention with ML reveals the potential of a highly designed funnel for preserving customer bases and maximizing CLV. The observation supports the need to synchronize the data collected by machine learning algorithms with the company’s marketing and customer service strategies as critical for sustainable growth in the highly competitive real estate SaaS industry. Based on the analysis in this paper, it becomes clear that data analytic approaches help to cultivate sustainable consumer relationships and business profitability.
Cloud-Based Data Governance: Ensuring Security, Compliance, and Privacy Naik, Shivali
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.v1i01.452

Abstract

Cloud computing has been taken up very rapidly and has over time changed the way an organization stores, processes, and shares data towards much higher levels of efficiency, scalability, and innovation. This paradigm shift, however, bears its unique and very complex challenges towards security of data and network security. Since sensitive in- formation finds its storage and transmission increasingly on shared multi- tenant cloud environments, the potential for data breaches, unauthorized access, and other cyber threats becomes much more viable. Moreover, the shared responsibility model in real. A further layer of complexity is added to cloud computing by necessitating providers and consumers to implement robust security measures. In this chapter, the most current strategies, technologies, and frameworks that can be used to secure data and networks within cloud environments will be discussed. Challenges will be considered that will provide a rational basis for achieving the appropriate level of assurance in the security of information systems and, as a consequence, the data they process, against confidentiality, integrity, and availability threats to evolve cyber threats. This will allow the organization to take full advantage of cloud computing, keeping compliance and information confidential and resilient against ever-changing cyber threats.

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