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Journal : Journal of Technology Research in Information System and Engineering

ANALISIS PENGALAMAN PENGGUNA PADA FITUR SHOPEE FOOD MENGGUNAKAN METODE HEURISTIC EVALUATION Triana, Ananda; Afifah, Afifah; Pontoh, Zaenab
JTRISTE Vol 11 No 1 (2024): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v11i1.508

Abstract

This research focuses on user experience through the Shopee Food feature, the aim is to determine the extent of the user experience of the Shopee Food feature service in several categories, namely gender, age and profession. In this research, the method used by the author is the heuristic evaluation method which consists of 10 aspect stages, which will be calculated based on the severity ratings formula for assessing. So the results obtained are: 10 aspects of this heuristic evaluation method, namely the first aspect: Visibility of System Status with a value of 7.863%, the second aspect: Match between the System and the Real World with a value of 8.063% , third aspect: User control and freedom with a value of 8.400%, fourth aspect consistency and standards with a value of 11.813%, fifth aspect: Error prevention with a value of 7.338%, sixth aspect: Understanding rather than warning (Recognition rather than recall) with a value of 7.413%, seventh aspect: Flexibility and efficiency of use (Flexibility and efficiency of use) with a value of 7.925%, eighth aspect: Aesthetic and minimalist design (Aesthetic and Minimalist Design) with a value of 6.275%, ninth aspect: Help users, recognize, diagnose and recover from awareness (Help user recognize, diagnose and recover from errors) with a value of 7.675%, tenth aspect: Help and documentation (Help and documentation) with a value of 8.063%.
REKOMENDASI LAPTOP TERHADAP CALON PEMBELI PT. GENIUS COMPUTER CENTRE MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Ursipuny, Natasha; Angriani, Husni; Pontoh, Zaenab
JTRISTE Vol 11 No 1 (2024): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v11i1.512

Abstract

This research aims to implement the Simple Additive Weighting (SAW) method in providing recommendations to potential laptop buyers at PT.Genius Computer Centre. Various laptop variants with different brands and specifications make it difficult for potential buyers to choose a laptop that suits their needs. The implementation of the SAW method is used as a basis for recommending laptops based on user requirements. SAW is a commonly used method in decision-making and involves assessments based on predefined criteria weights. The results of the SAW calculations provide recommendations for laptops that meet the user's needs, helping potential buyers choose a laptop that fits their requirements. The implementation of the SAW method in the decision support system can address the difficulties faced by potential laptop buyers at PT. Genius Computer Centre in choosing a suitable laptop and provide recommendations that can enhance their understanding of the required laptop specifications. This research has the potential to significantly improve the laptop shopping experience for potential buyers.