Adaptive Greenhouse Control Using Embedded Fuzzy Logic
Project Overview This project aims to develop an automatic irrigation system that uses fuzzy logic to adjust plant watering according to environmental conditions, such as air temperature, soil moisture, and air humidity. This system is designed to overcome the problems of manual irrigation, which is inefficient and unresponsive to changes in environmental conditions. Problems Encountered […]
DurianLeaf AI: Automatic Detection of Durian Leaf Disease
Overview of DurianLeaf AI DurianLeaf AI is a website designed to help durian farmers detect diseases on durian leaves using just one photo. This system utilizes AI technology to recognize infected areas and provide information about the type of disease detected on the durian leaves automatically and quickly. Key Features Why Was DurianLeaf AI Created? […]
Water Feasibility Detection Tool for Bathing using Decision Tree Algorithm and Mobile-Based Monitoring
Overview of the Water Feasibility Detection Tool This water feasibility detection tool is designed to measure the quality of water used for bathing using PH-450C, DS18B20, and TDS sensors, and is supported by the Decision Tree algorithm for automatic decision-making. This project also integrates a mobile application that allows users to monitor the water quality […]
PEKAMAS: Carbon Emission Mapping of Banyumas Regency Based on Machine Learning
Overview of PEKAMAS PEKAMAS is a website project created as part of a Capstone Project to map carbon emissions in Banyumas Regency. This project stems from the increasing global and local carbon emissions triggered by infrastructure growth and the reduction of green areas. To support more precise spatial planning and environmental policies, PEKAMAS utilizes a […]
AI Implementation for Job Applicant CV Screening using the SVM Method
Project Overview This project is a website created as part of a Capstone Project to assist the initial screening process of job applicants’ CVs automatically, quickly, and more objectively. The system utilizes an Artificial Intelligence approach with the Support Vector Machine (SVM) method to analyze CV content, assess candidate suitability against job criteria, and provide […]
SADAR: Early Depression Detection and Student Recommendation Website
Overview of SADAR SADAR is a website created as part of a Capstone Project to help students detect depression risk earlier based on completing a questionnaire. The answers are processed using a Machine Learning algorithm, and the system then displays the prediction category and appropriate educational recommendations so that users receive clearer guidance after performing […]