Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Sistemasi: Jurnal Sistem Informasi

Evaluation of User Experience for the OVO Application using the User Experience Questionnaire Method (UEQ) Fariha, Umi; Saputra, Eki; Hamzah, Muhammad Lutfi; Fronita, Mona
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4588

Abstract

Along with advances in digital technology, the ease of carrying out payment transaction processes via digital wallet applications is increasing. OVO is one of the leading digital wallet applications in Indonesia. However, there are several users who complain and report problems such as difficulties in upgrading, login problems, transaction failures, and applications that respond slowly. These reviews can be seen through the comments column in the OVO application on Google Playstore. Application representation can influence user perceptions of an application. This research aims to assess the user experience of the OVO application using the User Experience Questionnaire (UEQ) method, which involves six aspects of assessment: attractiveness, clarity, efficiency, stimulation and innovation. The research results obtained show that the overall user assessment of the evaluation that has been carried out on the OVO application is positive. This research is expected to be able to provide important insights and information regarding user satisfaction with digital wallet applications. Apart from that, it is also hoped that this research can become a reference for subsequent research and further development related to the OVO application, with the aim of improving the user experience.
Market Basket Analysis for Determine Goods Layout Using FP-Growth Algorithm Alfitra, Domi; M. Afdal, M. Afdal; Fronita, Mona; Saputra, Eki
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.4268

Abstract

The retail industry has undergone a significant transformation. Jumbo Mart is one of the retail businesses that consistently meet customer needs in Pekanbaru city. The number of similar businesses makes Jumbo Mart need to have a competitive advantage to compete. One of them is by improving the shopping experience, especially in the aspect of goods layout. However, based on observations and interviews, the determination of the layout of goods at Jumbo Mart is still not optimal. The number of products and variety of items sold is one of the reasons. In addition, customer transaction history has not been used further and is only stored as an archive of monthly reports. Whereas analyzing the data can be an effective solution in arranging the layout of goods based on customer behavior. Therefore, this research proposes a data mining technique with the FP-Growth algorithm to find association rules between categories of goods. The implementation results with a minimum support value of 15% and confidence of 50% get 7 association rules, but only 6 are proven valid. The valid association rules are then proposed to be placed close together so that it can make it easier for buyers to find the desired items. In addition, items with the consumption category are dominant as consequents, which can be found in the four association rules. This indicates that items with consumption categories have great appeal and are an important part of customers' shopping behavior and habits.