Design And Implementation Of A Frontend For Recommending Healthier Alternatives In An Alcohol Management Application

Putri, Khairiya Maisa (2025) Design And Implementation Of A Frontend For Recommending Healthier Alternatives In An Alcohol Management Application. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5025211192-Undergraduate_Thesis.pdf - Accepted Version Download (1MB)

Abstract

Young adults face increasing alcohol abuse problems due to social influences alongside their poor understanding of individual drinking patterns. Many existing intervention methods focus on treating developed alcohol-related problems instead of creating initial prevention measures. The research presents DrinkWise as a mobile application that tracks alcohol consumption while suggesting healthier alternatives to users. Through its user-friendly dashboard, users can track their alcohol consumption while setting weekly goals and receive personalised recommendations for healthier alternatives.
The application development uses React Native with Expo Framework and NativeWind to seamlessly bring DrinkWise to Android and iOS platforms. The app leverages real-time tracking, personalised notifications, and interactive features to encourage users to make informed decisions about their alcohol consumption. By integrating behaviour-change strategies and data-driven insights, DrinkWise supports users in gradually reducing their intake in a natural and sustainable way.
This research emphasises the role of digital tools in promoting responsible drinking habits. DrinkWise creates a proactive yet straightforward user interface that enables young adults to excel in managing their alcohol use while selecting better lifestyle options. The research explores the app’s potential in encouraging long-term behavioural change and fostering a more mindful approach to drinking.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Alcohol Consumption Monitoring, Frontend Development, Digital Intervention, Mobile Application, React Native.
Subjects:	T Technology > T Technology (General) > T59.7 Human-machine systems.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Khairiya Maisa Putri
Date Deposited:	04 Aug 2025 07:34
Last Modified:	04 Aug 2025 07:34
URI:	http://repository.its.ac.id/id/eprint/124740

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