Article Per Year (5 Year)
p-Index From 2020 - 2025
2.619
P-Index
This Author published in this journals
All Journal Journal of Accounting and Investment Technomedia Journal JURNAL PENDIDIKAN TAMBUSAI Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Engineering, Science and Information Technology Startupreneur Business Digital (SABDA Journal) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Julianingsih, Dwi
Unknown Affiliation
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Computer Science and Technology Application

 1 
Leveraging Blockchain Technology to Strengthen Cybersecurity in Financial Transactions: A Comprehensive Analysis Yusuf, David Arian; Wahyudin Anugrah, Rio; Arif Komara, Maulana; Julianingsih, Dwi; Garcia, Emily
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.33

Abstract

In the rapidly evolving digital landscape, financial transactions are increasingly vulnerable to cyber threats, necessitating advanced security measures beyond traditional methods like encryption and firewalls. This study explores the potential of blockchain technology as a robust framework for enhancing cybersecurity protocols in financial transactions. The primary objective is to assess how blockchain’s decentralized, transparent, and cryptographic features can mitigate risks such as fraud, unauthorized access, and data breaches. Employing a quantitative experimental design, the study simulated financial transactions on a blockchain platform and analyzed historical data on security breaches. The results indicate that blockchain technology significantly improves data security, with a 98\% effectiveness rate in preventing and detecting breaches. However, challenges such as scalability, regulatory compliance, and high energy consumption were also identified. The findings suggest that while blockchain holds considerable promise for securing financial transactions, further innovation is necessary to address its limitations and fully leverage its capabilities in the financial sector.
Leveraging Big Data Analytics for Strategic Marketing Optimization: Insights and Impacts Fazri, Muhammad Faizal; Ramadhan, Tarisya; Apriliasari, Dwi; Julianingsih, Dwi; Fitzroy, Arabella
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.39

Abstract

In the digital era, Big Data Analytics has emerged as a crucial tool for optimizing marketing strategies. This research explores the integration of Big Data into marketing, aiming to identify effective analytical techniques and their impact on marketing outcomes. The study utilized secondary data from various sources, including sales transactions, social media interactions, customer demographics, and web analytics. The analysis process involved data cleaning, integration, predictive modeling, clustering, sentiment analysis, and data visualization. The findings reveal that promotional campaigns and seasonal discounts significantly boost sales, with customer segmentation identifying three key groups: discount hunters, loyal customers, and occasional shoppers. Sentiment analysis shows positive customer feedback, though logistics-related issues warrant improvement. These results underscore the importance of targeted and personalized marketing strategies driven by data insights. The research contributes to marketing theories by providing empirical evidence on the effectiveness of Big Data Analytics in enhancing marketing strategies. Further research is recommended to explore its applicability across different industries, incorporate more diverse data sources, and utilize advanced analytical techniques to refine marketing strategies.
Challenges and Opportunities in Implementing Big Data for Small and Medium Enterprises (SMEs) Cahyono, Dwi; Sijabat, Apriani; Panjaitan, Muktar Bahruddin; Julianingsih, Dwi; Lorenzo, Agung
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.74

Abstract

Small and Medium Enterprises (SMEs) play a crucial role in the global economy but often face significant challenges when adopting new technologies like Big Data. While Big Data offers opportunities for improving decision-making, operational efficiency, and gaining a competitive edge, many SMEs struggle due to financial constraints, limited technical expertise, and concerns over data security and privacy. This paper explores the challenges SMEs encounter in adopting Big Data and identifies the opportunities it provides for growth and innovation. A mixed-methods approach is employed, combining qualitative interviews with SME managers and quantitative surveys from 150 SMEs to gather comprehensive data. The findings reveal that SMEs face barriers such as high implementation costs and lack of skilled personnel, but they also recognize the potential for Big Data to enhance customer insights, improve business processes, and foster new business models. Recommendations include exploring cost-effective solutions, investing in employee training, strengthening data security, and adopting modular systems that integrate easily with existing operations. This study underscores the importance of overcoming these challenges and leveraging Big Data as a key driver of digital transformation for SMEs, ultimately helping them to compete more effectively in an increasingly data-driven marketplace.
Co-Authors Abdul Baqi , Muhamad Puad Andriyansah . Apriani Sijabat Apriliasari, Dwi Arif Komara, Maulana Azz, Istajib Kulla Himmy Bibils, Natalie Bintoro, B. P. Kusumo Budiarto, Mukti Danny Manongga Dudi Rudianto DWI CAHYONO Fazri, Muhammad Faizal Fernando Fitzroy, Arabella Garcia, Emily Gunawan, ⁠Ahmad Hadi Nugroho HARYANTO Hua, Chua Toh Huda, Asrul Huda, Asrul Ivanov, Nikita Jayanagara, Oscar Khansa, Fathya Lena Magdalena, Lena Lorenzo, Agung Lutfiyah, Konita Marviola Hardini Maryanti, Tatik Maulana, Aryo Setyo Meria, Lista Mustopa, Muhamad Ikhsan Natalia, Elisa Ananda Ninda Lutfiani Nur Azizah PANJAITAN, MUKTAR B Paramitha AH, Dina Po Abas Sunarya Pramono, Erry Sigit Putri, Adinda Adia Queen, Zabenaso Qurotul Aini Ramadhan, Tarisya Riya Widayanti Ruhiyat, Imam Saputra, Didi Rahmat Siboro, Fernando Sri Watini Untung Rahardja Wahyu Sejati Wahyudi, Otniel Feliks Putra Wahyudin Anugrah, Rio Williams, Alexander Wirjawan, Tri Wahyu Yusuf, David Arian