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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer J-Intech (Journal of Information and Technology)
Rahmandita, Prasetya Naufal
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science

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Analisis Kualitas Aplikasi Menggunakan Karakteristik Quality In Use Satisfaction dan Efficiency Berdasarkan Ulasan Pengguna (Studi Kasus Aplikasi Pembelajaran: Khan Academy) Rahmandita, Prasetya Naufal; Saputra, Mochamad Chandra; Setiawan, Nanang Yudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 8 No 3 (2024): Maret 2024
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pembelajaran adalah salah satu hal yang tidak akan lepas oleh manusia baik dari kecil sampai dewasa. Dengan era digitalisasi ini semua hal dapat dilakukan dimanapun dan kapanpun, dengan hadirnya smartphone semua dapat diakses hanya dalam genggaman tangan saja. Salah satunya adalah aplikasi pembelajaran bernama Khan Academy. Dengan bertujuan untuk memperbaiki aplikasi menuju ke arah yang lebih baik, komentar pengguna sangat bernilai baik itu komentar positif atau negatif untuk dijadikan poin utama dalam melakukan perbaikan aplikasi. Metode klasifikasi yang akan digunakan pada 5803 data review akan dilakukan data cleansing dan text preprocessing terlebih dahulu untuk memilah data yang penting dalam penelitian. Pendekatan menggunakan pelabelan manual dari expert membantu dalam klasifikasi aspek kualitas yang digunakan yakni ISO/IEC 25010 Quality In Use serta dalam pelabelan sentimen dibantu dengan model distilbert. Klasifikasi sentimen menggunakan confusion matrix untuk sentimen positif dan negatif memperoleh hasil accuracy 84%. Dengan jumlah data yang berhasil terlabel 224 efficiency dan 572 satisfaction dari expert. Persebaran sentimennya melalui model distilbert didapatkan hasil aspek satisfaction 84.4% positif dan 15.6% negatif. Sementara untuk aspek efficiency 42.4% positif dan 57.6% negatif. Perolehan data yang berhasil terlabel dapat dilakukan langkah lebih lanjut untuk mencari kekurangan dari aplikasi baik itu dari sisi efficiency maupun satisfaction.
Quality Analysis of an Interactive Programming Learning Platform Based on ISO/IEC 25010 Using a String-Matching Approach on User Reviews Saputra, Mochamad Chandra; Wicaksono, Satrio Agung; Wijoyo, Satrio Hadi; Rahmandita, Prasetya Naufal; Hanggara, Buce Trias
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.2003

Abstract

This study aims to analyze user perceptions of Quality in Use of the Khan Academy e-learning platform, focusing on two key characteristics defined in the ISO/IEC 25010 standard: satisfaction and efficiency. Based on the analysis of user review data, there is a clear difference in volume between the two aspects: 539 reviews (65%) reflected the satisfaction aspect, while only 290 reviews (35%) were related to efficiency. This indicates that users are approximately 1.86 times more likely to comment on satisfaction than on efficiency. For satisfaction, most of reviews were positive (420 reviews, or 77.9%), while 119 reviews (22.1%) expressed negative sentiments. These results suggest that most users are satisfied with their experience using Khan Academy, particularly due to factors such as flexible access time, user convenience, and the wide availability of learning materials. In contrast, the efficiency- related reviews exhibited a more even distribution, with 154 positive reviews (53.1%) and 136 negative reviews (46.9%). This closer balance indicates that while some users appreciate the platform's performance, others report encountering technical issues, including slow access speeds, navigation difficulties, and system instability. Overall, user perception of the Khan Academy e-learning system is generally positive, especially regarding satisfaction. However, the findings also underscore the importance of addressing technical performance challenges to improve efficiency and ensure a seamless learning experience. These insights provide a valuable basis for the development of user-centered e-learning systems and contribute to the evaluation of system quality from the Quality in Use perspective.
Co-Authors Hanggara, Buce Trias Mochamad Chandra Saputra, Mochamad Chandra Nanang Yudi Setiawan Satrio Agung Wicaksono Satrio Hadi Wijoyo