Article Per Year (5 Year)
p-Index From 2019 - 2024
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This Author published in this journals
All Journal West Science Interdisciplinary Studies The Eastasouth Journal of Learning and Educations West Science Interdisciplinary Studies West Science Social and Humanities Studies Science Information System and Technology The Eastasouth Journal of Social Science and Humanities
Adit Mohammad Aziz
Institut Agama Islam Muhammadiyah Kotamobagu
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : Science Information System and Technology

 1 
Analysis of Information System Development in the Context of the Latest Technological Era: Challenges and Potential for Success Adi Nugroho Susanto Putro; Sabil Mokodenseho; Adit Mohammad Aziz
West Science Information System and Technology Vol. 1 No. 01 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i01.168

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are integral to economic growth, and in the current technological era, information system development has become crucial for their success. This research explores the challenges faced by MSMEs in West Java regarding information system development and examines the potential impact on business performance. Through mixed-methods research involving literature review, case studies, and surveys, the study reveals that financial constraints, lack of expertise, resistance to change, integration issues, and cybersecurity concerns hinder information system adoption. However, successful integration leads to improved efficiency, customer engagement, and innovation. The findings offer strategic insights for fostering MSME growth through technology in West Java.
Data Encryption and Anonymization Techniques for Enhanced Information System Security and Privacy Arief Budi Pratomo; Sabil Mokodenseho; Adit Mohammad Aziz
West Science Information System and Technology Vol. 1 No. 01 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i01.176

Abstract

The rapid evolution of digital technology has ushered in a new era of data-driven information systems, bringing both unprecedented convenience and complex challenges to the forefront. This research delves into the realm of data encryption and anonymization techniques to enhance the security and privacy of information systems. The study encompasses a comprehensive exploration of diverse encryption and anonymization methods, evaluating their effectiveness through qualitative and quantitative analysis. A bibliometric analysis, facilitated by VOSviewer, unveils influential authors, research trends, and collaborative networks in the field. The research sheds light on the practical implications of encryption and anonymization techniques through real-world case studies and offers insights into the multidimensional landscape of information system security and user privacy.
Big Data Analysis and Its Utilization for Business Decision-Making Astika Ayuningtyas; Sabil Mokodenseho; Adit Mohammad Aziz; Dwi Nugraheny; Nurcahyani Dewi Retnowati
West Science Information System and Technology Vol. 1 No. 01 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i01.177

Abstract

In today's data-driven business landscape, the analysis of big data has become a pivotal tool for making informed decisions across industries. This research method paper explores the methodologies employed in big data analysis for business decision-making and conducts a bibliometric analysis using VOSviewer to map the scholarly landscape of this field. The systematic literature review identifies key methodologies, including descriptive, predictive, and prescriptive analytics, text analysis, and network analysis. Real-world case studies demonstrate their practical applications in diverse sectors such as retail, finance, healthcare, and more. The bibliometric analysis unveils influential authors, collaborative networks, research clusters, and trends within the academic discourse on big data analysis and business decision-making. By integrating empirical research, systematic review, and bibliometric analysis, this paper offers a comprehensive understanding of the role of big data analysis in shaping contemporary business decisions.
Co-Authors Achmad Zahruddin Adi Nugroho Susanto Putro Ahmad Labib Majdi Andika Isma ARIEF BUDI PRATOMO Arief Yanto Rukmana Astika Ayuningtyas Dhiana Ekowati Dwi Nugraheny Endang Supriatna Falimu Falimu Hartin Kurniawati Herni Ramayanti Ika Rahayu Satyaninrum Koko Komaruddin Lasino Nurcahyani Dewi Retnowati Prasetio Rumondor Ratna Dewi Sabil Mokodenseho