Claim Missing Document
Check
Articles

Found 5 Documents
Search

Apply the Search Engine Optimization (SEO) Method to determine Website Ranking on Search Engines Fifin Alfiana; Nimatul Khofifah; Tarisya Ramadhan; Nanda Septiani; Wahyuningsih Wahyuningsih; Nadia Nur Azizah; Nova Ramadhona
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 3 No. 1 (2023): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v3i1.126

Abstract

In today's digital age, the internet has become an essential tool for various activities, including business promotion. One effective way to promote your business online is by creating a website that offers useful information to visitors. However, simply having a website is not enough; it is crucial to ensure that your website ranks high on search engine results pages (SERPs) in order to attract more visitors. One of the most effective methods to optimize a website for search engines is through search engine optimization (SEO) techniques. These techniques aim to improve a website's visibility on SERPs by using various tactics, such as keyword research, content optimization, and link building. However, it is important to note that SEO optimization is not a one-time task but rather an ongoing process. It requires constant attention and effort to maintain high search engine rankings and ensure the continued success of your online business. By optimizing your website, you can improve its visibility on search engines, attract more visitors, and ultimately drive business growth. It is important to remain vigilant in implementing SEO techniques to maintain high search engine rankings and ensure the continued success of your online business.
Enhancing Cybersecurity Information Sharing: A Secure and Decentralized Approach with Four-Node IPFS Zaleha Fauziah; Novi Putri Anggraini; Yulia Putri Ayu Sanjaya; Tarisya Ramadhan
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 3 No. 2 (2023): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v3i2.139

Abstract

The act of sharing cybersecurity information plays a proactive and collaborative role in bolstering organizational security through the exchange of data using a centralized repository service. However, the real-world application of centralized services comes with certain risks. It leaves organizations vulnerable to distributed denial-of-service (DDoS) attacks, leading to system failures and creating a single point of failure. Additionally, it opens the door to man-in-the-middle (MITM) attacks, potentially altering or pilfering exchanged information. These threats undermine user confidence in the confidentiality, integrity, and availability of their data. This study presents a secure solution, the design of a Cybersecurity Information Sharing (CyberShare) system that employs a private interplanetary file system (IPFS) network as a decentralized information storage solution. Unlike centralized storage, which relies on a single node, the CyberShare system utilizes a four-node IPFS network interconnected with swarm keys for authentication. This design enables users to store and share information securely from sender to recipient, eliminating the need for reliance on a central server and reducing the server load. An analysis of the proposed CyberShare system demonstrates its capability to ensure the confidentiality, integrity, and availability of cybersecurity information. By enhancing information security, CyberShare systems empower organizations to securely share and utilize cybersecurity data.
Digital Business Entrepreneurship Decisions: An E-Business Analysis (A Study Literature Review) Arzo Himki; Tarisya Ramadhan; Yusuf Durachman; Erry Sigit Pramono
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1258.77 KB) | DOI: 10.33050/sabda.v1i1.77

Abstract

This research is a review of the literature on digital business as a subset of e-business, which has a significant impact on the fast-paced evolution of the business world today. Because of the rise of online shopping and selling, a wide range of products can now be viewed and pricing may be negotiated without having to travel to the location where the goods are sold. Detik.com, Vivanews.com, Tibunnews.com, Goals.com, Kapanlagi.com, tokobagus.com, online palasari, inexpensive online books, and various other media of various forms are a form of community search in a more ordered, efficient, and effective manner of living. The utilization of e-business in a business unit might result in profits or losses for that particular business unit. However, a closer examination reveals that the beneficial effects outnumber the negative effects. The poll results show that firms who use internet devices as a promotional medium have better sales growth than enterprises that employ traditional formats. Thousands of suppliers and millions of buyers are always available on the digital business market, allowing them to purchase goods that meet their needs. This situation demonstrates that digital business has evolved into a business that has a significant impact on entrepreneurship, resulting in a model and format that is significantly more flexible and accessible to all sectors of consumers, regardless of location.
Leveraging Big Data Analytics for Strategic Marketing Optimization: Insights and Impacts Muhammad Faizal Fazri; Tarisya Ramadhan; Dwi Apriliasari; Dwi Julianingsih; Arabella Fitzroy
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.
Big Data Analytics: Transforming Business Intelligence and Decision Making Wendi Usino; Dhiyah Ayu Rini Kusumawardhani; Tarisya Ramadhan; Aptanta Pratiangga; Olivia Qurotulain
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/2wf1s376

Abstract

In today's rapidly evolving digital landscape, organizations are increasingly leveraging Big Data Analytics to transform business intelligence and enhance decision-making processes. This study explores how businesses utilize Big Data to gain insights into operations, customer behaviors, and market trends, specifically focusing on the retail, healthcare, and financial sectors. By employing a mixed-method approach that combines qualitative and quantitative data, the research analyzes case studies from a major international retailer, a leading healthcare provider, and a global bank. Data sources include semi-structured interviews with industry experts, surveys, and secondary data from existing literature. The findings indicate significant improvements in customer retention (20\%), operational efficiency (with a 15\% reduction in inventory costs in retail and a 10\% reduction in hospitalization rates in healthcare), and fraud reduction (a 25\% decrease in fraudulent transactions in financial services). However, the study also identifies ongoing challenges such as data quality issues, high implementation costs, and complexities in integrating Big Data Analytics with existing systems. The research concludes by emphasizing the importance of addressing these challenges to fully capitalize on Big Data's potential for competitive advantage and suggests that future studies should explore the ethical implications and the impact of emerging technologies on Big Data Analytics to further enhance its effectiveness in business intelligence.