Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Journal of Information Systems and Informatics Jurnal Transformasi Bisnis Digital
Aisya Tyanafisya
IPB University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Design and Development of an E-Commerce Website Using the Waterfall Method with the Laravel Framework Gema Parasti Mindara; Aisya Tyanafisya; Siti Farah Fakhirah; Azhar Nadhif Annaufal; Ibnu Aqil Mahendar; Aditya Wicaksono
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4570

Abstract

The e-commerce sector has experienced significant growth in Indonesia in recent years. However, many small business owners still rely on manual operations through social media platforms. This study focuses on the design and implementation of an e-commerce website for Comot Langsung, a local thrifting business, using the Waterfall methodology and the Laravel framework. The sequential nature of the Waterfall method is applied through six phases: requirement analysis, system design, development, testing, deployment, and ongoing maintenance. In the analysis phase, several key features were identified, including user registration, product catalog, shopping cart, ordering system, and QRIS payment integration. The design process utilized UML diagrams to clearly and structurally visualize the system architecture and user flow. The results show that all features were successfully implemented, offering high responsiveness and ease of navigation. This website is expected to expand market reach for thrifting entrepreneurs while enhancing the online shopping experience for consumers in selecting and purchasing vintage fashion products efficiently and conveniently.
Analisis SWOT dalam Membangun Strategi Pemasaran yang Efektif pada Tagify Aisya Tyanafisya; Siti Farah Fakhirah; Asa Yuaziva; Wien Kuntari
Jurnal Transformasi Bisnis Digital Vol. 1 No. 6 (2024): November : Jurnal Transformasi Bisnis Digital (JUTRABIDI)
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jutrabidi.v1i6.397

Abstract

This study aims to analyze the internal and external factors influencing the marketing strategy of Tagify, a business engaged in the design of lanyards and ID cards. Using a descriptive qualitative analysis method, the study collects secondary data from literature reviews related to marketing strategies and SWOT analysis. The findings reveal that Tagify's strengths lie in creative design, fast production capability, and flexibility in meeting customer demands. However, the main challenges are limited production capacity and suboptimal use of social media for marketing. Significant opportunities exist in the growing demand for custom products in corporate sectors and large events, while the primary threat comes from intense price competition. The implications of this research show that SWOT analysis is crucial in formulating effective marketing strategies to address challenges, seize available opportunities, and strengthen Tagify's competitive position in the market.
Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV Rizki Juliansyah; Muhammad Aqil Musthafa Ar Rachman; Muhammad Al Amin; Aisya Tyanafisya; Nurrizkyta Aulia Hanifah; Endang Purnama Giri; Gema Parasti Mindara
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.912

Abstract

This study introduces a real-time traffic density monitoring system utilizing YOLOv8-based digital image processing to improve traffic management efficiency. By leveraging YOLOv8’s enhanced speed and precision, the system detects and classifies five types of vehicles and displays traffic data through a web interface developed with OpenCV and Flask. Key implementation features include real-time video streaming and accurate detection metrics, with the system achieving 96% Precision, 84% Recall, and an F1 Score of 90% during field testing in Bogor. This indicates the system’s potential for minimizing manual traffic monitoring and aiding traffic authorities in making data-driven decisions. The research also discusses the system’s integration into urban traffic management and its scalability for diverse environments.
Co-Authors Aditya Wicaksono Asa Yuaziva Azhar Nadhif Annaufal Endang Purnama Giri Gema Parasti Mindara Ibnu Aqil Mahendar Muhammad Al Amin Muhammad Aqil Musthafa Ar Rachman Nurrizkyta Aulia Hanifah Rizki Juliansyah Siti Farah Fakhirah Wien Kuntari