WEB PERFORMANSI VE SEO OPTİMİZASYONU: HANGİKREDİ ÜZERİNDE GOOGLE LİGHTHOUSE UYGULAMASI

Öz

Bu çalışma, web performansının artırılmasında Google Lighthouse aracının kullanımına yenilikçi bir yaklaşımı ele almaktadır. HangiKredi, aylık 27 milyondan fazla kullanıcıya hizmet veren Türkiye’nin önde gelen finansal karşılaştırma platformlarından biridir. Bu kapsamda SEO (arama motoru optimizasyonu) performansı ve kullanıcı deneyimi, iş başarısı açısından kritik öneme sahiptir. Bu makalede, geliştirdiğimiz yenilikçi uygulama ile Google Lighthouse aracılığıyla web performansının nasıl optimize edildiğini, geliştirilen test paketleri ve entegrasyon süreçleri detaylandırılmaktadır. Çalışmanın bulguları, sürekli web performans optimizasyonu için somut adımlar sunmakta ve gelecek iyileştirmeler için rehberlik sağlamaktadır.

Anahtar Kelimeler

• Google Lighthouse
• Web Performansı
• SEO
• Kullanıcı Deneyimi

WEB PERFORMANCE AND SEO OPTIMIZATION: HANGIKREDI GOOGLE LIGHTHOUSE APPLICATION

Öz

This study examines an innovative approach to using Google Lighthouse to improve web performance. HangiKredi is one of Turkey’s leading financial comparison platforms serving over 27 million monthly users. In this context, SEO (search engine optimization) performance and user experience are critical to business success. This article details how web performance is optimized through Google Lighthouse with the innovative application we developed, the test suites developed, and the integration processes. The findings of the study provide concrete steps for continuous web performance optimization and provide guidance for future improvements.

Anahtar Kelimeler

• Google Lighthouse
• Web Performance
• SEO
• User Experience

Kaynakça

1. Bocchi, E., De Cicco, L., ve Rossi, D. (2016). Measuring the quality of experience of web users. ACM SIGCOMM Computer Communication Review, 46(4), 8-13.
2. Das, S. (2021). Search engine optimization and marketing: A recipe for success in digital marketing. Chapman and Hall/CRC.
3. Dobbala, M. K., ve Lingolu, M. S. S. (2022). Web Performance Tooling and the Importance of Web Vitals. Journal of Technological Innovations, 3(3).
4. Edgar, M. (2024). Largest Contentful Paint. In Speed Metrics Guide: Choosing the Right Metrics to Use When Evaluating Websites (pp. 137-156). Berkeley, CA: Apress.
5. Fan, W. S., ve Tsai, M. C. (2010). Factors driving website success–the key role of Internet customisation and the influence of website design quality and Internet marketing strategy. Total Quality Management, 21(11), 1141-1159.
6. Fellinger, L., ve Fronimaki, D. (2024). Enhancing user experience: Unveiling the impact of website speed optimisation on user engagement. Journal of Digital & Social Media Marketing, 11(4), 324-338.
7. GoogleChrome. (2020). lighthouse/docs/variability.md at main · GoogleChrome/lighthouse. GitHub. https://github.com/GoogleChrome/lighthouse/blob/main/docs/variability.md (2024, August 8)
8. Heričko, T., Šumak, B., ve Brdnik, S. (2021, September). Towards representative web performance measurements with google lighthouse. In Proceedings of the 2021 7th Student Computer Science Research Conference (p. 39).

9. Hernández, B., Jiménez, J., ve Martín, M. J. (2009). Key website factors in e-business strategy. International Journal of information management, 29(5), 362-371.
10. Hoßfeld, T., Metzger, F., ve Rossi, D. (2018). Speed index: Relating the industrial standard for user perceived web performance to web qoe. In 2018 Tenth international conference on quality of multimedia experience (QoMEX) (pp. 1-6). IEEE.
11. Kinnunen, M. (2020). Evaluating and improving Web performance using free-to-use tools (Master's thesis, M. Kinnunen).
12. Leuski, A., & Allan, J. (2000). Lighthouse: showing the way to relevant information. IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings, 125-129. https://doi.org/10.1109/INFVIS.2000.885099.
13. Libby, A. (2023). Implementing SEO. In Practical Next. js for E-Commerce: Create E-Commerce Sites with the Next. js Framework (pp. 205-234). Berkeley, CA: Apress.
14. Matthias, K., & Kane, S. P. (2015). Docker: Up & Running: Shipping Reliable Containers in Production. " O'Reilly Media, Inc.".
15. McGill, T., Bamgboye, O., Liu, X., & Kalutharage, C. (2023). Towards Improving Accessibility of Web Auditing with Google Lighthouse. 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 1594-1599. https://doi.org/10.1109/COMPSAC57700.2023.00246.
16. Osmani A. (2021). Lighthouse’u kullanarak Web Verileri’ni optimize etme.. web.dev. https://web.dev/articles/optimize-vitals-lighthouse?hl=tr (2024, August 8)
17. Shellhammer, A. (2016). The need for mobile speed. Google. https://blog.google/products/admanager/the-need-for-mobile-speed/#:~:text=3...&text=Slow%20page%20load%20times%20are,than%203%20seconds%20to%20load&text=One%20out%20of%20two%20people,in%20less%20than%202%20seconds&text=46%25%20of%20people%20say%20that,the%20web%20on%20mobile%20devices (2024, August 8)
18. Vasilijević, V., Kojić, N., & Vugdelija, N. (2020). New approach in quantifying user experience in web-oriented applications. . https://doi.org/10.31410/ITEMA.2020.9.
19. Yang, J., Sahni, N. S., Nair, H. S., ve Xiong, X. (2024). Advertising as information for ranking e-commerce search listings. Marketing science, 43(2), 360-377.
20. Yüksel, D., Sümbültepe, K., ve Tolon, M. (2020). Arama motoru optimizasyonu (SEO) analiz skoru ile sıralama ilişkisi: Google Lighthouse. İşletme Araştırmaları Dergisi, 12(2), 2113-2125.