Kakarobot ID
- Hybrid of for-profit and nonprofit
Kakarobot is a startup engaged in robotics and industrial automation. Kakarobot creates robots for learning (Kakarobot IoTA) that are much cheaper than market robots so that everyone, especially Indonesian children in all corners, can learn robotics and computational thinking easily. Preparing Indonesian children, especially girls and 3T areas, for the digital industry by applying computational thinking. The problem is that in Indonesia it is still difficult to access the science of robotics and computational thinking and also robots for learning are imported products with relatively expensive prices. Therefore, Kakarobot presents a solution by creating a robot for learning which is an original work from Indonesia which is significantly cheaper and also facilitates a better understanding of robotics and computational thinking.
- Growth: An organization with an established product or program that is rolled out in one or more communities.
Kakarobot's Team Lead is a hardworking woman who loves to innovate with IoT, AI, and robotics with a master's background in robotic and control systems from Sepuluh Nopember Institute of Technology where she has more than 10 awards in the robotics field while studying and has become the most outstanding student in her campus. She is responsible for creating learning materials and serving as an assessor to assess learning outcomes. And also conduct training for trainers so that they can convey robotics and computational thinking properly and correctly. She assists in the design of learning robots and also as a tester to check the quality of the robot to be used.
We will create a structured schedule and KPIs so that each person can be responsible for their role and also implement this solution in parallel so that the results are maximized and goals are achieved
Make everyone can learn robotics and computational thinking, preparing Indonesian children, especially girls and rural areas for digital industry skills
- Robotics and computational thinking are still difficult to access in Indonesia
- Robotics and computational thinking learning modules on the market still tend to be expensive
- Most learning modules are overseas products
- Creating an educational robot that is easily understood by all ages, especially children aged 2-12
- Creating a robot with a relatively low price compared to educational robots on the market
- Provide mentor who are experienced in robotics
- This robot teach children to implement the basic logic of computational thinking, so they can make a simple code to run the robot directly from the robot interface because we develop the robot by ourselves and its operating system
- Women & Girls
- Pre-primary age children (ages 2-5)
- Primary school children (ages 5-12)
- Rural
- Peri-Urban
- Poor
- Low-Income
- Middle-Income
- High-Income
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- Level 3: You can demonstrate causality using a control or comparison group.
For now, the effectiveness of the solution we offer is only in the form of data such as skill development, ability to participate in competitions, and implementing computational thinking in the daily lives of these children
With our solution, we really want to make all Indonesian children become drivers in the field of robotics and industrial automation. However, Indonesia is an archipelago where education for areas far from the city center has an underdeveloped education. So there needs to be a movement that cares about the education of children in these rural areas so that education in Indonesia can be more equitable. Because we believe that all children are born smart, but have limited opportunities.
We need access support to be able to reach rural areas of Indonesia due to the difficulty of transportation to some areas because Indonesia is an archipelago, support in the form of finance, exposure, and also regional permits
- how many children in rural areas in Indonesia are likely to have the opportunity to learn advanced technology?
- how interested the children are in learning advanced technology?
- how much do these children want to contribute to developing Indonesia?
- Foundational research (literature reviews, desktop research)
in weeks 1-2 we will prepare as many robots and learning materials as needed, then weeks 2-5 we will spread awareness about our solution to rural areas by meeting and working with local stakeholders. in weeks 6-11 we will apply the learning materials to children in the area. in week 12 we will evaluate what the children have understood and their ability to implement it themselves.
By doing according to the schedule that we apply for this solution and setting short-term targets which will be the things that we realize in this solution. making clear KPIs and each person can be responsible according to their respective jobs.
- Short-term results: children in rural areas can recognize robotics and computational thinking, understand the fundamentals, and can be interested in continuing to learn.
- long term result: we want these children to be confident with their knowledge and continue to develop new knowledge so that they can adapt to the digital industry and can implement it to contribute in developing Indonesia.
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B. Eng
M. Eng