About Me

A Telecommunications Engineering graduate from Telkom University with a strong interest in Internet of Things (IoT), Adaptive Networks, and intelligent network simulation. Experienced in VANET project development, various simulation platforms, and web development. Currently active as a Technical Support Broadcasting professional at Trans TV, responsible for broadcast operations, MCR system monitoring, broadcast troubleshooting, and developing web-based shift scheduling systems. Proficient in collaborative and solution oriented work environments.

My Work and Research

Throughout my academic and professional journey, I have been committed to expanding the frontiers of knowledge in the field of telecommunications and IoT.

Current Research Endeavors:

In my recent work, I have focused on developing decision support systems for complex network environments, emphasizing optimization and machine learning techniques. This foundational experience has enriched my understanding of data-driven solutions.

Smart Poultry Monitoring System (SMAJA):

I designed and developed the user interface for SMAJA, a smart poultry monitoring Android application focused on poultry investment and digital tracking. This project was built using Flutter with the Dart programming language and managed using Android Studio. The app provides an intuitive experience for users to monitor poultry asset performance, manage transactions, and visualize investment data through interactive UI components.

Simulation of Ad-Hoc On Demand Distance Vector (AODV) Routing Protocol on VANETs:

I developed a simulation system for ad-hoc vehicle networks (VANET) with AODV protocol using SUMO and OMNeT++ applications. This project involved analyzing parameters such as end-to-end delay, throughput, and packet delivery ratio, and creating a website to display simulation results and visualize parameters interactively and in real-time.

IoT-Based Soil Monitoring: I have been involved in projects that focus on enhancing soil monitoring for smart agriculture. These projects include: Smart Soil Monitoring IoT-Based NPK Detection with Python: GitHub Repository IoT-Based Soil Moisture Monitoring for Smart Agriculture: GitHub Repository These projects aim to improve the efficiency of soil management in agriculture using IoT technologies.

Future Exploration:

As I move forward in my academic and professional journey, I am motivated by my passion for exploring the cutting-edge of IoT and its applications in various fields. My research path is a reflection of my commitment to unlocking potential through data-driven innovations.

Blog Posts

Simulation of AODV Routing Protocol on VANETs

I developed a simulation system for ad-hoc vehicle networks (VANET) using the AODV protocol. This project involved configuring the simulation environment using SUMO for vehicle mobility and OMNeT++ for network simulation.

Smart Soil Monitoring IoT-Based NPK Detection with Python

I developed a system for monitoring NPK levels in soil using IoT technology. This project involved creating a device that can detect levels of Nitrogen (N), Phosphorus (P), and Potassium (K) in soil, which are essential nutrients for plant growth. The system uses Python for data processing and is designed to provide real-time monitoring of soil fertility, helping farmers make informed decisions about fertilization.

IoT-Based Soil Moisture Monitoring for Smart Agriculture

I worked on a project aimed at improving soil moisture monitoring for smart agriculture using IoT technology. This project involved developing a system that can measure and report soil moisture levels, enabling farmers to optimize irrigation schedules and conserve water. The system is designed to be cost-effective and easy to deploy, making it accessible to a wide range of agricultural operations.

Technical Operation Support Shift Schedule Website

I worked on an internal website development project aimed at displaying crew shift schedules in real time. This project involved implementing an Excel file upload feature to enable automatic updates of shift schedules and crew contact information. The system was designed to display crew details, including contact numbers, based on active shifts. Seamless data integration was ensured to support effective coordination between the production, COGF, and technical support teams.