ANGGAR.IN MOBILE DEVELOPMENT DOCUMENTATION

Team Profile

Team ID : C242-PS048

These Are Our Team Members in the Mobile Development Division:

• (MD) A783B4KX1433 - Fathiya Salsabila - Institut Teknologi Sains dan Kesehatan PKU Muhammadiyah Surakarta
• (MD) A133B4KY2721 - Muhammad Alvin Nugraha Sujana - Politeknik Negeri Samarinda

Roles

• login features - Muhammad Alvin Nugraha Sujana (A133B4KY2721)

• register features - Muhammad Alvin Nugraha Sujana (A133B4KY2721)

• OTP verification features - Muhammad Alvin Nugraha Sujana (A133B4KY2721)

• stock predictions features - Muhammad Alvin Nugraha Sujana (A133B4KY2721)

• savings targets features - Muhammad Alvin Nugraha Sujana (A133B4KY2721)

• Roles

• Home features - Fathiya Salsabila (A783B4KX1433)

• Transaction features - Fathiya Salsabila (A783B4KX1433)

• Budgeting features - Fathiya Salsabila (A783B4KX1433)

• OCR and Audio Input features - Fathiya Salsabila (A783B4KX1433)

Anggar.In Mobile Development Project Explanation

This project is our final project for Google Bangkit Academy 2024 Batch 2.

Project Background:

Financial stability is crucial for personal and societal well-being, yet many Indonesians face challenges in achieving it. Data from BPS and a 2023 DBS survey indicate a large portion of household income is spent on non-essential items without proper planning. This issue is compounded by low financial literacy, leading to unnecessary spending and limiting the ability to save. If left unaddressed, these problems may prolong financial instability and negatively affect the quality of life in Indonesia.

To tackle this issue, our team developed Anggar.In, a comprehensive financial management solution. The app helps users track income and expenses through manual input, receipt scanning, and voice commands, offering a clear view of spending patterns. Its personalized budgeting feature aids in managing spending limits, while savings goal planning supports consistent savings. Anggar.In also provides financial analysis tools, presenting spending trends and insights to help users become more aware of their finances. The investment recommendation system can also guide users towards financial freedom.

Leveraging machine learning, cloud computing, and mobile technology, Anggar.In aims to boost financial awareness, foster sustainable habits, and support informed decision-making, helping Indonesians navigate economic challenges and build long-term financial resilience.

Mobile Development:

from the beginning our team created a project theme about a transaction recording application, then we as mobile developers, first created a UI/UX design using figma from the application, then discussed with the team whether they agreed with the design. Then after the UI design was completed, we created a prototype as the application flow runs on the device later. Then after that we implemented the UI into the application using Android Studio using XML. Then after the machine learning team finished creating the model, then the cloud computing team created the API to be given to the mobile development team. We immediately integrated the API using the retrofit library from Android, which means that this application is used online using the internet.

Screenshots App

How to Use The Code

Requirement:

1. Android studio
2. Internet Network
3. min sdk 24 (android 7)

How to install this application:

1. download the code in zip form from the github repository or git clone the repository from your local git

2. then run the application in android studio

3. make sure your internet is on and stable

Other Path Documentation

Cloud Computing: Anggar.In Cloud Computing Repository

Machine Learning: Anggar.In Machine Learning Repository