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Usability Evaluation of Tokopedia Application Version 3.242 Using System Usability Scale (SUS) Method Manurung, Romarta Yemima; Dwi Krisbiantoro; Dias Ayu Budi Utami
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13191

Abstract

Indonesia is currently experiencing rapid growth in the e-commerce sector. Its One of the existing e-commerce is the Tokopedia application, Users of this application reach more than 10 million users so that there are a lot of positive and negative reviews given by users. After manually analyzing there are still many negative reviews on the application, not only that, there are still other problems found such as expeditions that cannot be selected, then payment methods that cannot COD or pay on the spot, and sometimes force closes that come out by themselves suddenly. Therefore, researchers tried to conduct a study on Tokopedia application user satisfaction with the SUS method to measure the level of usability of the application. System Usability Scale (SUS) method to evaluate its usability aspect. The evaluation results showed that the app earned an SUS score of 55, with a percentile rank of about 30%, placing it at grade D. Although still above average, the slight difference with the standard SUS score (68) indicates a potential improvement. In interpretation based on nature (Adjective), the application is in the OK category, with the level of acceptance (Acceptable) is in the Marginal category. The Net Promoter Score (NPS) results show the Detractor category, indicating a tendency to lack user enthusiasm for the application. Further evaluation is needed to identify aspects of usability that affect user perception and cause unsatisfactory NPS categories. Future research can design improvement strategies based on these findings, with the aim of increasing SUS scores and changing the NPS category to be more positive
Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm Manurung, Romarta Yemima; Sari, Dewi Purwita; Agustinah, Nabila; Syanahieskara, Razel; Tahyudin , Imam; Nurfaizah, Nurfaizah; Alvi Sholikhatin, Siti
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.3 KB) | DOI: 10.31763/iota.v2i4.550

Abstract

Data Analysis of the Number of Tourism Businesses in the Entertainment and Recreation Sector is used as data sources for extracting information. In this study, data on the number of tourism businesses in the entertainment and recreation sector will be mined to support decision-making information. This research purpose is to analyze the tourism business number in the entertainment and recreation sectors. The method is using predictive Apriori algorithm. The data has been tested using Knime software to process data on the number of tourism businesses in the entertainment and recreation sector at the domestic level by using business data whose numbers are increasing or decreasing. Starting from entering nodes 1, 2 and 3 to getting node 4, which is the final result. The results obtained show the data set that produces the final result for every 1 tourism business data. The result obtained that the tourism number in entertainment and recreation sectors are increasing. Furthermore, the prediction result of entertainment and recreation which have best accuracy are balls, discotheques, massage parlors, karaoke, live music, massage parlors, sports and physical fitness centers, family recreation facilities and spa