IMPLEMENTASI BACK-END UNTUK APLIKASI ANDROID PELAYANAN KESEHATAN MENGGUNAKAN BAHASA PEMROGRAMAN KOTLIN

SOBARNA, DWI AJI and Iskandar, Iskhaq (2021) IMPLEMENTASI BACK-END UNTUK APLIKASI ANDROID PELAYANAN KESEHATAN MENGGUNAKAN BAHASA PEMROGRAMAN KOTLIN. Undergraduate thesis, Sriwijaya University.

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Abstract

The bureaucracy that occurs in hospitals is often considered to take a long time. This android application to help manage services in hospitals requires real-time data changes. The Firebase platform offers this because firebase will provide data in real-time. To maximize consultations with doctors, we need to know the type of disease experienced so that patients can consult directly with specialists. Machine Learning models can help to make patients predict the disease they are experiencing. To implement machine learning into android applications, tensorflowLite is needed. And to get general data from hospitals requires a web API provided by Google. Web API that is applied to get the closest route from google direction and google map. To get details from the hospital such as location, hospital name, hospital number, use Google Place.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Project Aplikasi, Back-End Aplikasi
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User:	Dwi Aji Sobarna
Date Deposited:	04 Jan 2022 04:38
Last Modified:	04 Jan 2022 04:38
URI:	http://repository.unsri.ac.id/id/eprint/60309

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