This project aims to accelerate the process of identifying soil density values from the subgrade, subbase, and base course layers by integrating vibration, speed, and acceleration sensors connected to an Arduino Mega 2560 microcontroller. The data generated enables real-time monitoring and adjustment during the compaction process in accordance with SNI (Indonesian National Standard) 1738-2011.

XRC PRO is a powerful, open-source RC transmitter and receiver system using STM32 and NRF24L01. It features real-time control.

I am Abdullah, a mechanical engineer specializing in high-quality CAD modeling and design. This single-seater Formula Student style race car showcases my skills in creating precise, functional, and visually appealing models. Featuring a lightweight tubular chassis, ergonomic bucket seat, aerodynamic rear wing, and detailed suspension and drivetrain systems, it demonstrates both technical accuracy and engineering creativity. I provide CAD modeling, 3D rendering, and manufacturing-ready drawings for automotive, mechanical, and industrial projects. My focus is on precision, practicality, and performance, turning concepts into professional, manufacturable designs that exceed expectations.

WiFi-Enabled, modular prototyping platform for creating and testing electronics projects with ease.

This project aims to develop a real-time monitoring system for important water quality parameters such as temperature, turbidity (TDS & turbidity), and pH. The device utilizes sensors such as DS18B20, SEN0244, SEN0189, and pH 4052c, integrated with a WiFi-based Robotdyn Arduino Uno microcontroller, and displays data in real-time via the IoT platform Thinger.io. This system not only displays data on an LCD screen, but can also be accessed from anywhere via a cloud dashboard, and data can be downloaded at any time. Testing was conducted over 7 days and the results showed a fairly good level of accuracy and precision, as well as compliance with the BBPBAT Buleleng koi pond water quality standards. Perfect for those interested in IoT, aquaculture, agricultural automation, or electrical engineering thesis projects! ???? Jangan lupa like, follow, dan comment..

A simple but very useful Zener diode tester

This build integrates an RTL-SDR v3 (RTL2832U+R820T2) covering 500 kHz - 1.766 GHz, paired with a 100 kHz - 2 GHz, 30 dB LNA powered by an internal 5 V → 1.2 - 24 V DC converter. A second RTL-SDR DAB/DVB receiver (RTL2832U+FC0012) covering 45 - 930 MHz, feeds into the USB 3.0 hub that forms the system’s primary data bus. A M8N-type GPS USB module supplies GNSS reception on L1 band (1.559 - 1.610 GHz) along with a PPS output for precision timing. The build also incorporates an EvilCrow RF v2, using a Wi-Fi enabled ESP32-PICO-D4. The microcontroller drives two CC1101 transceivers on 300 - 348 MHz, 387 - 464 MHz, and 779 - 928 MHz, as well as a NRF24L01+PA+LNA (GT24) module for 2.400 - 2.525 GHz operation. External antennas are connected through BNC, SMA, and RP-SMA ports grouped on one side of the device. The ruggedized design and weather-sealed connectors ensure reliable radio reconnaissance in the field.

Open-source 3D printer project with CAD models and build documentation.

HackPlate is an open-source preheating station created for makers, repair technicians, and hardware enthusiasts who want full control over their tools. Built around a Raspberry Pi Pico (RP2040) and a Solid-State Relay (SSR 40A), it manages temperature control for PTC plates or heating elements with precision and reliability. HackPlate was designed as a transparent, modifiable, and educational tool — promoting the maker and hacker culture by encouraging learning, experimentation, and community-driven improvement. Anyone can modify the design, optimize performance, or contribute to its firmware and documentation.

Imagine a laboratory where valuable equipment is at risk because traditional locks offer no traceability. Anyone can enter, and if something goes missing, there’s no way to know who was last inside. We designed a smart solution: an IoT-based door security system using NodeMCU ESP8266 and RFID technology that reads electronic ID cards (e-KTP) as access keys. When a user taps their e-KTP & KTM (Student Card) on the RFID reader, the system verifies the unique ID, unlocks the door automatically, and logs the access in real-time to both a local database (XAMPP) and Google Spreadsheet. This system enhances security, enables instant user tracking, and leverages a national ID that everyone already owns—making it cost-effective and easy to implement. It’s not just a smart lock; it’s a secure, traceable, and scalable access control system for laboratories, offices, or dormitories. With this innovation, we move from blind access to intelligent, data-driven security.