Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : MDP Student Conference

Perancangan Sistem Pakar Penyakit Demam Berdarah Menggunakan Metode Gradient Boosting Decision Tree Valentina, Cecilia; Tjen, Jimmy
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11200

Abstract

Dengue fever is a disease transmitted through mosquito bites and can cause high death rates in several countries . This disease is most commonly found in countries with a tropical climate. Therefore, technology utilization has been implemented to help people to predict dengue fever. This research design an expert system using the Gradient Boosting Decision Tree (GBDT) method to classification a symptoms of dengue fever. This research used a dataset from Kaggle website and this data was analyzed and resulted in accuracy of 89%, a recall of 88,79%, and a precision of 69,96%. So, it was able to provide an accurate prediction of dengue fever through the GBDT method. The classification result was then adapted into mobile based application with a UI/UX design so that it can directly interact with users.
Perancangan UIUX Aplikasi Pemantau Kelembaban Tanah dan Suhu Udara Pada Tanaman Buah Naga Sabila, Qolbi Sin; Tjen, Jimmy
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11201

Abstract

The increase in the number of dragon fruit commodities is greatly influenced by the growth and quality of the plant itself. Soil moisture and air temperature are the main factors that must be considered by farmers in the cultivation of dragon fruit plants. There is a need for regular monitoring of dragon fruit plants to maximize the growth of these plants. This research aims to design a User Interface (UI) display for the application of monitoring soil moisture and air temperature in dragon fruit plants. This application is based on Android to be more flexible when used. This monitoring application is supported by the use of IoT technology sensor devices connected to a microcontroller, this application can present real-time data about plant conditions, such as soil moisture levels and air temperature in a visual form that is easy to understand for users. The result of this research is a UI design with ease of providing information to users so that it can enable users to improve decision-making accuracy in monitoring soil moisture and air temperature in dragon fruit plants. This is expected to have a positive impact on the productivity of users in caring for dragon fruit plants and can maintain the quality of the harvest.