Analysist Dashboard of Export Import Data of Indonesian Commodity Trade

Machine Learning Ops Final Project - Electronic Engineering Polytechnic Institute of Surabaya
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Table Of Contents

• Table Of Contents
• About The Project
• Built With
• Getting Started
  • Prerequisites
  • Installation
• License
• Authors
• Acknowledgements

About The Project

Screenshot

This is Final Project at Machine Learning Ops Subject. The goals of this project is to build analysist of Indonesia export import comodity data using interactive dashboard with Fuzzy Time Series Method

Built With

Application deployed is build with python using streamlit library for the dash app and plotly library for the chart

Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• python

for Windows OS

python --version 

for Unix Based OS (Linux, MacOS, etc)

python3 --version 

• git

git --version 

note: if you don't have python installed, you can download it here and if you don't have git installed, you can download it here

Installation

1. Clone the repo

git clone https://github.com/dzalhaqi/pa-mlops.git

2. Create python environment

python -m venv env

3. Activate python environment

for Windows OS

env\Scripts\activate

for Unix Based OS (Linux, MacOS, etc)

source env/bin/activate

4. Install python library

pip install -r requirements.txt

5. Get into web directory and run the app

cd web && streamlit run main.py

License

Distributed under the MIT License. See LICENSE for more information.

Authors

• Muhammad Dzalhaqi - Applied Data Science Student (EEPIS) - Muhammad Dzalhaqi - Build dash app
• Much. Toriqul Muchlisin - Applied Data Science Student (EEPIS) - Much. Toriqul Muchlisin - Build model
• Rifda Quratul 'Ain - Applied Data Science Student (EEPIS) - Rifda Quratul 'Ain - Build analytical report

Acknowledgements

• Muhammad Dzalhaqi
• Moch. Toriqul Muhclissin
• Rifda Quratul 'Ain