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USABILITY AND USER EXPERIENCE TESTING OF THE THREADS APPLICATION USING THE SYSTEM USABILITY SCALE (SUS) AND USER EXPERIENCE QUESTIONNAIRE (UEQ): PENGUJIAN USABILITY DAN USER EXPERIENCE APLIKASI THREADS MENGUNAKAN SYSTEM USABILITY SCALE (SUS) DAN USER EXPERIENCE QUESTIONNAIRE (UEQ) Ayu Anggraini; Dwi Fatrianto Suyatno
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024): Vol. 05 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.63909

Abstract

Technology now plays an important role in life. So the progress of information technology is also accelerating rapidly. The latest data from the central statistics agency shows a fairly high increase in internet usage in Indonesia which can reflect the openness of the community to new technologies. From people's openness to new technology, mobile apps have become popular, one of which is the Threads application. Meta claims that Threads attracted 100 million users within a week of its launch. However, reports from online research researchers such as Sensor Tower and SimiliarWeb show that the number of Threads users has decreased significantly. On the other hand, usability and user experience are important elements in application development. The use of SUS and UEQ measurement tools allows users to test the usability and user experience of an application from the end user's perspective based on the experience after using the application. Based on the results of data processing using the System Usability Scale (SUS), the results of the calculation in the form of the number of average score values of 54.35 enter the Grade Scale with category D, Adjective Range with category OK, Acceptable with category Marginal, and NPS (Net Promoter Score) with category Ditractor. Based on the results of data processing using the User Experience Questionnaire (UEQ), the value of attractiveness (mean 0.4), perspicuity (mean 0.605), efficiency (mean 0.15), dependability (mean 0.065), stimulation (mean -0.095), and novelty (mean -0.155) has an average value between -0.8 and 0.8, which indicates a neutral evaluation level. Based on the benchmark results, the value obtained on each UEQ variable using the UEQ Data Analysis Tool gets a Bad value on all variables, namely attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. Overall, based on the user experience after using the Threads application, it is rated less by respondents so it needs to be improved to meet user expectations.
Rendering Performance Analysis of Astro JS, Next JS, Nuxt JS, and SvelteKit Frameworks Using Google Lighthouse, PageSpeed Insight, and JMeter: Rendering Performance Analysis of Astro JS, Next JS, Nuxt JS, and SvelteKit Frameworks Using Google Lighthouse, PageSpeed Insight, and JMeter Ahmad Jourji Zaidan; Dwi Fatrianto Suyatno
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 1 (2025): Vol. 06 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i1.64283

Abstract

The development and popularity of modern technology encourage innovation in developing web applications to increase loading speed and retain users. This research analyzes the performance of websites that use Astro JS, Next JS, Nuxt JS, and SvelteKit frameworks using the SSR (Server Side Rendering) technique. The advantage of the SSR technique is that it can improve website performance, SEO (Search Engine Optimization) optimization, and user experience. The tools used in this research are Google Lighthouse, PageSpeed Insight, and JMeter. The metrics measured in Google Lighthouse and PageSpeed Insight testing are FCP (First Contentful Paint), TBT (Total Blocking Time), SI (Speed Index), LCP (Large Contentful Paint), and CLS (Cumulative Layout Shift). While JMeter testing, the metrics measured are Response Time (Min, Max, Average), Error Rate, and Throughput. The development method used is the XP (Extreme Programming) method. The results of this study show Astro JS has superior performance in most Web Vitals metrics, followed by Next JS which shows superiority in several metrics. Nuxt JS and SvelteKit each only excelled in one Web Vitals metric. In stability and reliability of the system testing using JMeter, Nuxt JS showed the best performance by excelling in the response time, error rate, and throughput metrics. SvelteKit also performed well with dominance in several stability metrics, while Astro JS and Next JS only excelled in a small number of them. This research was conducted to provide insight for developers in choosing the right framework based on their needs.