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All Journal Jurnal Algoritma The Indonesian Journal of Computer Science
Putri, Nyayu Dwi Tarisa
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Penerapan Metode Eye Tracking dalam Evaluasi Pengalaman Pengguna pada Website Traveloka Putri, Nyayu Dwi Tarisa; Putra, Pacu; Oktadini, Nabila Rizky; Meiriza, Allsela; Sevtiyuni, Putri Eka
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.2098

Abstract

Traveloka sebagai salah satu agen perjalanan digital yang telah menyediakan fitur Rental Mobil sejak 2018. Namun, penelitian ini menunjukkan bahwa sebagian orang masih mengalami kesulitan dalam menggunakan fitur Rental Mobil pada website Traveloka. Penelitian ini bertujuan untuk mengevaluasi pengalaman pengguna pada fitur Rental Mobil website Traveloka, menggunakan metode Eye Tracking dengan melibatkan lima partisipan yang menyelesaikan tiga task scenario. Hasil penelitian ini menunjukkan bahwa rata-rata E-T data integrity adalah 84,2% dan gaze on screen sebesar 95,3% yang menghasilkan kualitas data yang baik. Namun, dari hasil analisis heatmaps menunjukkan bahwa sebagian besar partisipan cenderung mengalami kesulitan saat menyelesaikan task screnario terutama pada task 1 dan task 2. Rata-rata tingkat perhatian partisipan adalah -0,02 dengan emosi surprise yang mendominasi yang berarti bahwa sebagian besar partisipan mengalami kebingungan saat menyelesaikan task. Hasil penelitian ini menunjukkan adanya area yang perlu diperbaiki untuk meningkatkan kualitas pengalaman pengguna agar lebih intuitif dan meminimalisir kebingungan pengguna saat menggunakan website Traveloka khususnya fitur Rental Mobil.
PENGGUNAAN MIXED METHOD USABILITY TESTING (EYE TRACKING METHOD DAN COGNITIVE WALKTHROUGH (STUDI KASUS: WEBSITE JURUSAN SISTEM INFORMASI FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJAYA): Case Study: Website of The Department of Information Systems, Faculty of Computer Science, Sriwijaya University Putra, Pacu; Oktadini, Nabila Rizky; Hardiyanti, Dinna Yunika; Larasati, Salsabila; Putri, Nyayu Dwi Tarisa
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4516

Abstract

Universitas Sriwijaya is one of the state universities in Indonesia. Universitas Sriwijaya has 10 faculties, one of which is the Faculty of Computer Science. Information Systems is one of the departments in the Faculty of Computer Science, Sriwijaya University. Based on the observation results, the Department of Information Systems has just updated the appearance of its website. To determine the level of usability of the website, this research uses two methods, namely eye-tracking method and cognitive walkthrough. The activities that are the research material in this research include searching for lecturers' schedules, downloading final project guidelines and searching for course codes. As a result of the cognitive walkthrough method, the activity of searching for lecturers' timetables has the lowest success rate of 0%, followed by the activity of searching for course codes with 40% and the activity of downloading final project guidelines with 80%. In addition, the research continued using the eye-tracking method to identify areas of confusion for the respondents and to understand the emotional level of the respondents when carrying out these activities. It can be seen that the average respondent is still confused or unfocused when working on the pre-defined activities.
Co-Authors Allsela Meiriza, Allsela Dinna Yunika Hardiyanti Larasati, Salsabila Oktadini, Nabila Rizky Pacu Putra Sevtiyuni, Putri Eka