Makhson, Mokhamad Zulkifli (2022) Analisis Pengaruh Desain Chart Dan Time Interval Pada Usabilitas Visualisasi Big Data Dalam Kegiatan Investasi Atau Trading Pada Cryptocurrency. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Berdasarkan google trends penelusuran terkait cryptocurrency terdapat peningkatan yang signifikan dalam 1 tahun terakhir. Hasil preliminary study menunjukkan 85% responden menyatakan bahwa visualisasi data diperlukan dalam kegiatan ini dan visualisasi data pada cryptocurrency implementasi dari visualisasi big data. Permasalahan mengenenai visualisasi big data seperti visual noise dan information loss kerap terjadi. Hal tersebut menyebabkan kesalahan persepsi dan kognitif pembaca data, oleh karena itu diperlukan visualisasi yang baik agar tidak terjadi kesalahan dalam pengambilan keputusan. Terdapat berbagai jenis tipe visualisasi, penelitian ini bertujuan untuk mengetahui usabilitas dari beberapa tipe visualisasi yang dikombinasikan dengan beberapa time interval namun tetap menggunakan data yang sama. Dalam penelitian terdapat skenario adanya batasan waktu dalam menjawab pertanyaan untuk mengukur kemampuan manusia untuk penyerapan informasi dengan ada atau tanpa adanya batasan waktu. Penelitian juga dilakukan pada 2 jenis responden yang berbeda, yaitu awam dan berpengalaman. Pengujian usabilitas menggunakan alat eye-tracker dan untuk penilaian kualitatif menggunakan kuisioner System Usability Scale (SUS). Terdapat 4 parameter kuantitatif yang digunakan, yaitu response time, number of errors, number of fixations, dan time to first fixation. Dari hasil pengujian, faktor yang mempengaruhi adalah time interval dan time pressure dalam penyerapan informasi. Faktor tipe visualisasi tidak banyak mempengaruhi dalam parameter yang digunakan namun tipe visualisasi candle chart lebih baik dibandingkan line chart. Berdasarkan 4 parameter yang digunakan, tampilan visualisasi kombinasi candle chart dengan time interval 1 jam dan 4 jam memberikan hasil terbaik untuk kedua jenis responden maupun gabungan berdasarkan skor SUS.
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Based on Google trends, searches related to cryptocurrencies have seen a significant increase in the last year. The results of the preliminary study show that 85% of respondents stated that data visualization is needed in this activity, and data visualization on cryptocurrency is the implementation of big data visualization. Problems regarding big data visualization, such as visual noise and information loss, often occur. This causes perception and cognitive errors in data readers. Therefore, good visualization is needed so that there are no errors in decision making. There are various types of visualization. This study aims to determine the usability of several types of visualization combined with several time intervals but still using the same data. In this study, there is a scenario where there is a time limit on answering questions to measure the human ability to absorb information with or without a time limit. The study was also conducted on two types of respondents, namely lay and experienced. Usability testing uses an eye-tracker and for qualitative assessment, it uses a System Usability Scale (SUS) questionnaire. There are four quantitative parameters used, namely response time, number of errors, number of fixations, and time to first fixation. From the test results, the influencing factors are time interval and time pressure in the absorption of information. The visualization type doesn't have much influence on the parameters used, but the visualization type candle chart is better than the line chart. Based on the 4 parameters used, the visualization display of the combination candle chart with time intervals of 1 hour and 4 hours gives the best results for both types of respondents or combinations of the two respondents based on the SUS score.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | big data, visualisasi, eye-tracker, usability, cryptocurrency,big data, visualization, eye-tracker, usability, cryptocurrency |
| Subjects: | T Technology > T Technology (General) > T385 Visualization--Technique |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Mokhamad Zulkifli Makhson |
| Date Deposited: | 11 Feb 2022 00:50 |
| Last Modified: | 01 Nov 2022 01:02 |
| URI: | http://repository.its.ac.id/id/eprint/93573 |
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