PERANCANGAN INFRASTRUKTUR API UNTUK APLIKASI MOBILE 'NOURISHPATH' DALAM PENCEGAHAN STUNTING MENGGUNAKAN GOOGLE CLOUD SERVICES” BANGKIT ACADEMY

Anwar, Naufal Hanggara Putra and Pratama, Dika Maulana Putra (2024) PERANCANGAN INFRASTRUKTUR API UNTUK APLIKASI MOBILE 'NOURISHPATH' DALAM PENCEGAHAN STUNTING MENGGUNAKAN GOOGLE CLOUD SERVICES” BANGKIT ACADEMY. Project Report (Praktek Kerja Lapang dan Magang). UPN "Veteran" Jawa Timur. (Unpublished)

[img] Text (Cover)
Cover.pdf

Download (4MB)
[img] Text (Bab 1)
Bab1.pdf

Download (304kB)
[img] Text (Bab 2)
Bab2.pdf

Download (523kB)
[img] Text (Bab 3)
Bab3.pdf
Restricted to Repository staff only until 13 July 2029.

Download (492kB)
[img] Text (Bab 4)
Bab4.pdf
Restricted to Repository staff only until 13 July 2029.

Download (2MB)
[img] Text (Bab 5)
Bab5.pdf
Restricted to Repository staff only until 13 July 2029.

Download (332kB)
[img] Text (Daftar Pustaka)
DaftarPustaka.pdf

Download (278kB)
[img] Text (Lampiran)
Lampiran.pdf
Restricted to Repository staff only

Download (1MB)

Abstract

Stunting is a major public health issue in Indonesia that affects children's physical growth and cognitive development. Limited access to accurate nutrition information and education remains a key challenge in preventing stunting. To address this issue, the NourishPath mobile application was developed using Google Cloud-based API infrastructure. The application aims to provide educational content on stunting prevention and children's nutrition through cloud computing and machine learning technologies. It enables users to access educational articles, analyze children's nutritional needs, and predict the risk of stunting. The system was developed using Google Cloud Platform, with Cloud Endpoints connecting the mobile application to the backend, Firebase Authentication for user authentication, and Firestore as the database. The machine learning model was deployed using Cloud Run to analyze user data and generate nutritional recommendations. The implementation results show that NourishPath performs effectively, delivering real-time information with optimal performance. User data security is ensured through Identity and Access Management (IAM) and Firebase Authentication, while the application's scalability can be adjusted based on demand. Overall, NourishPath successfully leverages cloud computing to support stunting prevention in Indonesia by providing an accurate, scalable, and cost-effective data-driven solution.

Item Type: Monograph (Project Report (Praktek Kerja Lapang dan Magang))
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorAulia, Virdha Rahma6925417virdha.rahma.fasilkom@upnjatim.ac.id
Subjects: T Technology > T Technology (General) > T58.6-58.62 Management Information Systems
Divisions: Faculty of Computer Science > Departemen of Information Systems
Depositing User: Hanggara Putra Anwar
Date Deposited: 20 Jul 2026 01:32
Last Modified: 20 Jul 2026 01:32
URI: https://repository.upnjatim.ac.id/id/eprint/55289

Actions (login required)

View Item View Item