10+
Downloads
Content rating
Everyone
Screenshot image
Screenshot image

About this app

Check Coffee

This application was developed with the main feature of identifying Arabica, Robusta and Liberica coffee types based on Visual Images (Photos) based on the physical characteristics of the seeds, fruit and leaves of the coffee plant.

Some of the main features that can be used in this application include:

1. Detection
This feature is the main feature in the application to detect the type of coffee plant by uploading photos or taking photos directly with the camera. The objects in the photo are seeds, fruit or leaves from coffee plants. Detection results can be saved in detection history if you have logged in to your account.

2. Quiz
This feature is an additional feature to find out the type if you don't have a copy of the photo or don't have an object to photograph. This can be done by answering questions based on the physical characteristics of the coffee.

3. Products
This feature contains several coffee-based menu preparations which can be an inspiration for home preparations or business preparations using coffee-based ingredients.

4. Plantation & Processing
This feature is used to find out how to farm and process coffee products. In the plantation menu there are stages from planting to the process of harvesting the coffee cherries. For processing there are stages from harvesting until it is ready for consumption.


Development team:
- Supervisor:
1. Pradita Eko Prasetyo Utomo, S.Pd., M.Cs.
2. Benedika Ferdian Hutabarat, S.Komp., M.Kom.

- Programmer:
1. M. Taufik Hidayat

- Modeling:
1. Amanda Setiawan
Updated on
Mar 26, 2024

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
Learn more about how developers declare sharing
This app may collect these data types
Personal info and App activity
Data is encrypted in transit
You can request that data be deleted

App support

About the developer
UNIVERSITAS JAMBI
anugrah.mukti@unja.ac.id
Jl. Raya Jambi, Kampus Pinang Masak, Muara Bulian Km. 15 Mendalo Kota Jambi Jambi 36361 Indonesia
+62 823-7773-5310

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