I am a Programmer and Developer with expertise in building web, desktop, mobile applications, and Internet of Things systems. Passionate about machine learning, I focus on creating intelligent, data driven solutions. With a strong foundation in software development and a commitment to continuous learning, I strive to deliver innovative solutions across various platforms.
Universitas Borneo Tarakan — Bachelor of Computer Engineering.
Developed a strong academic foundation with a focus on software engineering, data processing,
and embedded systems. Engaged in various academic projects and research activities that applied
technology to real-world problem solving. Actively participated in student organizations, fostering
leadership, collaboration, and professional growth throughout the academic journey.
Technical
Non-Technical
Interests
Developed a Radiosonde Data Recording and Analysis System for the Meteorological Station of BMKG Tarakan City. Developed the official website for BMKG Tarakan City. Conducted weather observations at the BMKG Tarakan City station.
Responsible for managing organizational administration and supporting coordination among board members. Assisted the chairman in ensuring that each work program runs according to plan, is well-coordinated, and meets the set objectives.
Designed and implemented division work programs, managed task distribution, and ensured all activities were carried out according to plans and objectives.
My Recent
A desktop application developed for BMKG Tarakan to automate the recording and analysis of atmospheric data from Radiosonde instruments. This system features data visualization, input modules, and classification using the Random Forest algorithm. Built for efficient data handling and decision support in meteorological analysis.
Professional car rental website for CV Tujuh Sembilan, offering easy booking, detailed vehicle information, and trusted transportation services across Tarakan and surrounding areas.
This Arduino line follower robot uses a 5-channel line tracking sensor TRCT5000L for precise path detection. The OLED display (0.96 inch) shows the robot's mode — either in manual mode via IR remote control or automatic line-following mode. The L298N motor driver controls the speed and direction of the DC motors, making the robot responsive and efficient.
This project is an Air Quality and Temperature Monitoring System with Arduino Uno, DS18B20, DHT22, and MQ135, to measure environmental parameters such as temperature and air quality. The data is displayed on a PyQt5-based graphical user interface (GUI), enabling real-time monitoring and analysis.
This project implements an expert system using Python, leveraging a knowledge base in JSON format to perform diagnoses or provide recommendations based on predefined rules. The system is fully customizable, allowing users to modify symptoms, conditions, and even the system's name or title.
Enhanced ML Platform is a Streamlit app for building and evaluating machine learning models. It supports data upload, preprocessing, feature selection, training, evaluation, and prediction using internal or external models with no coding required.
My Recent
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