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UI/UX design in food health start up using design thinking method and gestalt principles MA, M LUTFI
Computing and Information System Journal Vol. 1 No. 3 (2025): Data Science, UI/UX, and E-Government for Decision Making
Publisher : IndoCompt Publisher

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Abstract

Healthy food is an absolute necessity and a primary need for human life. However, many foods are currently served in unhealthy ways, such as using raw materials, processing methods, and long storage times. A food retailer and food outlet must be able to meet the need for healthy food, both in terms of raw materials, processing methods, and storage times until it is served to consumers. The FoodHealth startup will provide a service for daily healthy food subscriptions for consumers. The research method used is the design thinking method, the analysis uses SWOT, the feasibility study analysis uses TELOS while User Interface has been created using the Gestalt principle. The UI design testing process uses 10 Usability Heuristic indicators with a test result of 83%. This proves that the designed digital start-up FoodHealth has answered user needs. This FoodHealth start-up is expected to provide convenience for users in finding information on healthy food programs or healthy food subscriptions, including ease of delivery.
A COMPARATIVE ANALYSIS OF SIMPLE ADDITIVE WEIGHTING, WEIGHTED PRODUCT, AND SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUES FOR SELECTING TOURIST DESTINATIONS (A CASE STUDY IN MAGELANG REGENCY) Mahasinul Akhlak, Muhammad Lutfi; Ariesta Kusuma, Ahmad Fauzi Anggi; Susilo, Gatot; Arifah, Fatimah Nur
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.451

Abstract

The large number of tourist destinations in Magelang Regency forces tourists to choose which destinations they will visit. The numerous criteria in selecting tourist destinations makes it increasingly difficult for tourists to determine which destinations they will visit. Therefore, a decision support system is needed to help tourists more effectively and efficiently in determining which tourist destinations they will visit. This study uses the Weighted Product (WP), Simple Additive Weighting (SAW), and Simple Multi-Attribute Rating Technique (SMART) methods. These three methods are then compared to determine which method is most appropriate. SAW, WP, and SMART produce identical rankings between methods, indicating consistent modeling quality. This consistency strengthens the validity of the decision results. From the comparison between the SAW, WP, and SMART methods, the total percentage of the SAW method is 99.9934%, greater than the WP and SMART methods with a percentage of 99.9933%. This shows that the data structure, criteria weights, and value ranges between alternatives are relatively uniform, so that the linear (SAW), geometric (WP), and utility-based (SMART) methods produce equivalent decision patterns to solve the problem of determining tourist destinations in Magelang