Local.Ind

Group ID: C241-PS127

Team Members

• (ML) M446D4KY2148: Fajar Agim Sumarna – Universitas Kebangsaan Republik Indonesia
• (ML) M004D4KX2544: Bintang Bakkara – Institut Teknologi Sepuluh Nopember
• (ML) M009D4KY2782: Muhammad Hauzan Dini Fakhri – University of Gunadarma
• (CC) C009D4KY0607: Fadhil Muhammad – University of Gunadarma
• (CC) C004D4KY0700: Yoga Hartono – Institut Teknologi Sepuluh Nopember
• (MD) A009D4KY3641: Muhamad Rezqi Septiandri Putra – University of Gunadarma
• (MD) A548D4NY4634: Zildan Pandaru Sih Marginata – Universitas Islam Negeri Sunan Kalijaga

Abstract

To address the preference of 60% of Indonesians for foreign products, as reported by CNBC Indonesia, the development of an e-commerce platform supporting local fashion brands is essential. By leveraging technology and digital connectivity, such a platform can introduce, market, and support local products to domestic consumers, enhancing market reach and fostering appreciation for Indonesia's cultural diversity. User-friendly Local.Ind platforms, offering trusted transactions and innovations like digital payment systems, recommendation algorithms, and object detection, will facilitate the discovery and purchase of local products, contributing to a more inclusive and sustainable digital economy ecosystem in Indonesia.

Project Goal

Develop and launch Local.Ind, an e-commerce platform aimed at promoting local fashion brands in Indonesia, bridging the gap between consumer preferences and local offerings, while enhancing market visibility and cultural appreciation within a one-month timeframe.

Timelines

Deliverables

Mobile Development (MD)

• Create Flowchart for Application: 2 days
• Create Wireframe Application: 2 days
• Development Application: 18 days
• Testing Application: 5 days

Cloud Computing (CC)

• Cloud Architecture Design Diagram: 5 days
• Entity Relationship Diagram: 5 days
• Build Database: 6 days
• Build Backend: 12 days
• Deployment: 7 days

Machine Learning (ML)

• Prepare dataset & data gathering: 3 days
• Preprocessing & cleaning data: 4 days
• Modelling: 10 days
• Optimization: 4 days
• Deployment & Integration: 3 days

All Teams

• Report: 2 days

Scope

• Smart Recommender System
• Product Search Feature
• Category System
• Community Empowerment

Out of Scope

• Customization of individual user profiles beyond basic registration information.
• Integration with external social media platforms for sharing user activities or purchases.
• Implementation of advanced virtual try-on or augmented reality features for product visualization.