Indonesia is currently experiencing a literacy crisis, with a significant drop in interest in reading books. Several factors contribute to this issue including a lack of intrinsic drive to read and problems in discovering books that meet personal interests. Visgastis and Tada's 2020 study found that watching progress can increase the incentive to read. However, prior systems have largely failed to successfully leverage this understanding.
To address this issue, our team developed an approach that motivates reading through progress tracking and personalized recommendations. Our mobile app, named "Memorabilia", will increase reader engagement via progress tracking and unique personalized recommendations and seeks to increase literacy rates in Indonesia by improving book availability and accessibility based on reader preferences.
- Learning Path Documentation:
- Demo Video: App Documentation
- Project Final Presentation: Memorabilia Presentation
Meet our amazing team behind this amazing project:
| Name | Learning Path | Bangkit-ID | University | Profile |
|---|---|---|---|---|
| Armond Harer | Cloud Computing | C010D4KY0674 | Universitas Indonesia | https://github.com/ArmondHarer |
| Muhammad Cavan Naufal Azizi | Cloud Computing | C010D4KY0515 | Universitas Indonesia | https://github.com/CavanNaufal |
| Dea Ramanda | Machine Learning | M193D4KX2718 | Universitas Bina Sarana Informatika | https://github.com/adnamard |
| Kamal Ibrahim | Machine Learning | M295D4KY1852 | Universitas Pembangunan Nasional Veteran Jakarta | https://github.com/kamalhaddad27 |
| Reza Khaebar Muhdam | Machine Learning | M297D4KY2884 | Universitas Pembangunan Nasional Veteran Yogyakarta | https://github.com/rezakhaebar |
| Arvin Wira Samudra | Mobile Development | A295D4KY4255 | Universitas Pembangunan Nasional Veteran Jakarta | https://github.com/arvinwira |
| Leondra Herfino Ilham | Mobile Development | A295D4KY4184 | Universitas Pembangunan Nasional Veteran Jakarta | https://github.com/leondraaa |