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

Skripsi

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

Sobarna, Dwi Aji - Personal Name;

Penilaian

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Penilaian anda saat ini :  

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.


Availability
Inventory Code Barcode Call Number Location Status
2107003850T60309T603092021Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T603092021
Publisher
Indralaya : Prodi Ilmu Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2021
Collation
ix, 43 hlm,: ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
530..028 507
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Ilmu Fisika
Pengolahan dan Analisa Data di Bidang Fisika
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

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