Arsy Opraza Akma
Arsy Opraza Akma is currently a Curriculum Developer at Dicoding, write a high material content to help student learn programming. Currently, the course is enrolled by hundreds of thousands of students.
I’m a passionate software engineer. I participated in mentorship programs such as Bangkit Academy as Advisor Capstone Project. I’m long life learner, i love to learn about software engineering, and self development.
I actively engaged in several tech communities and regularly shares insights through GitHub, LinkedIn, and his Medium blog.
Session
Agricultural commodities such as shallots, red chili, and cayenne pepper are highly produced, serving not only the local community but also neighboring districts and cities. However, farmers often face income losses as their selling prices are dictated by collectors, deviating from the actual market prices. This discrepancy negatively impacts farmers' productivity. Our proposed research aims to address this issue by developing a predictive system for commodity selling prices using data mining techniques, specifically multiple linear regression. This method will analyze factors such as rainfall and total production to forecast prices, enabling us to provide farmers with accurate selling price recommendations for specific periods. By aligning farmers' selling prices with market trends, this system aims to minimize their losses and enhance productivity. This proposal outlines the development and implementation of this predictive system, highlighting its potential benefits for the agricultural sector.