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All Journal Journal of Data Insights Journal of Computing and Smart Ecosystems
Nova Christina Sari
Universitas Muhammadiyah Semarang
Computer Science & IT Electrical & Electronics Engineering Mathematics

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Evaluating Usability And Customer Satisfaction in E-Marketplaces Using System Usability Scale and Customer Satisfaction Score Nova Christina Sari; Yusa Putra; Alfa Hikmatun Nabilah; Revania Jeni Puspitasari
Journal of Computing and Smart Ecosystems Vol. 1 No. 1 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

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Abstract

In the digital era, user experience (UX) plays a critical role in determining the success of online platforms, particularly in the highly competitive e-commerce industry. This study presents a comparative evaluation of three major e-commerce applications in Indonesia namely Shopee, Tokopedia, and Lazada using two standardized instruments: the System Usability Scale (SUS) and the Customer Satisfaction Score (CSAT). A total of 100 respondents participated in the survey, which included 10 questions mapped to SUS and 10 questions mapped to CSAT. The results revealed that all three platforms scored poorly in usability and customer satisfaction metrics. Shopee achieved the highest SUS score 51, categorized as marginal, while Tokopedia 50 and Lazada 49.55. CSAT scores followed a similar pattern, with Shopee 52%, Tokopedia 55%, and Lazada 50% falling into low or very low satisfaction categories. These findings highlight the need for substantial improvements in both usability and service quality to enhance overall user experience and engagement. This study emphasizes the importance of integrating both SUS and CSAT methods to obtain a holistic understanding of user perceptions
Deteksi Kerentanan SQL Injection pada Website Menggunakan Vulnerability Assessment Nova Christina Sari; Achmad Solichan; Basirudin Ansor; Aditya Putra Ramdani; Muhammad Zainudin Al Amin; Mulil Khaira; Auliya Rohman Riquelme Al Ubaidah
Journal of Data Insights Vol 2 No 1 (2024): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v2i1.393

Abstract

Website merupakan sumber informasi yang terus berkembang mengikuti perkembangan teknologi dimasa sekarang, dan penggunaan website telah banyak diterapkan di berbagai bidang. Penggunaan cyber security berkembang sangat pesan mengikuti perkembangan teknologi dan penelitian-penelitian dalam tema cyber security semakin banyak. Metode vulnerability asesement dalam penelitian ini digunakan untuk melakukan scanning terhadap suatu website untuk mendeteksi kerentananan website tersebut terhadap SQL Injection. SQL Injection. SQL Injection merupakan salah satu teknik peretasan dengan cara menyalahgunakan celah keamanan yang ada di lapisan SQL berbasis data pada suatu aplikasi atau website. Vulnerability scanner menggunakan Zap, memberikan hasil 22 alert, 3 diantaranya memiliki kerentanan yang tinggi (high risk). Hasil dari kerentanan website memiliki SQL Injenction yang tinggi. Terdapat 5 dari 10 ancaman yang terdapat pada OWASP Top 10
Co-Authors Achmad Solichan Aditya Putra Ramdani Alfa Hikmatun Nabilah Auliya Rohman Riquelme Al Ubaidah Basirudin Ansor Muhammad Zainudin Al Amin Mulil Khaira Revania Jeni Puspitasari Yusa Putra