Engineering-Institut Teknologi Sepuluh Nopember (DCE-ITS), and has been approved by IEEE for technical co-sponsorship. This conference is an excellent event where researchers and engineers from academia and industry, majority locally from Indonesia as well as from abroad, to meet and share their recent findings for the advancement of the field in Computer Engineering and its application. The Regional Conference Program (RC) is a platform to share the most updated technology and research in regional common issues. It aims at maximizing the outreach of the AUN/SEED-Net for stronger impacts by involving external participants such as representatives from the government, industry, community, non-Member Institutions (MIs), and other professional organizations.

Infusion is very important for patients who need additional fluids in the body. Intravenous fluids are injected into the body using needles, through veins. Delayed replacement of IV fluids can pose a very high risk for the patient's condition. One of the risk is that the blood can be sucked back and flow in the IV tube, because there is a difference fluid pressure between the vein and the infusion bag. Therefore, controlling the volume of infusion fluid is very necessary so the infusion bag containing the intravenous fluid must not be used up.To minimize the risk is by replacing the IV bag that must be done in a timely manner. So to find out the amount of infusion fluid volume in the infusion bag it will be designed and realized an instrument that can measure the volume of infusion fluid by weighing the weight of the infusion bag. This tool can stop the flow of IV fluids that flow into veins when the IV fluid will be depleted.The result of this research is that the system will stop the infusion fluid flow by activating the pinch valve by clamping the infusion hose so that the fluid can stop when the infusion fluid volume will run out. Discontinuation of infusion fluid occurs when the remaining infusion fluid volume is 10 mL

Intravenous drip diffusion is a common practice to treat patients in hospitals. During treatment, nurses must check the condition of the infusion bag frequently before running out of fluid. This research proposes a novel method of checking the infusion bag using an image processing technique on a compact Raspberry PI platform. The infusion monitoring system proposed here is based solely on capturing the image of the infusion bag and the accompanying bag/ tube. When the infusion fluid enters the patient, the surface of the liquid will decrease, and at the end will reach the bottom of the infusion bag. When the image of the fluid surface touches the bottom of the infusion bag, a mechanism will trigger a relay, and then activate a pinch valve to stop the flow of the infusion fluid before it runs out. The entire system incorporates a digital camera and Raspberry as the image processor. The surface of the liquid is determined using the Canny Edge Detection algorithm, and its relative position in the tube is determined using the Hough Line Transform. The raw picture of the infusion bag and the processed image are then sent via a wireless network to become part of a larger system and can be monitored via a simple smartphone equipped with the proper application, thus becoming an Internet of Things (IoT). With this approach, nurses can carry on other tasks in caring for the patients while this system substitutes some work on checking the infusion fluid.

When someone uses a wheelchair, there is still the possibility of an accident to the user, such as when the user suddenly falls down from the wheelchair or the user falls down along with the wheelchair. For notification of emergency conditions for wheelchair users, an alarm system is designed that can send messages to the intended mobile number. The system is designed using Wemos D1 mini, Ultrasonic, MPU-6050 and Proximity E18-D80NK sensors. The conclusion from the measurement and test results are: the value read by the MPU-6050 sensor is taken one axis for each direction when the wheelchair was falling down, Y≤180o for left falling down, X≤50o for right falling down, Z≤65o for forward falling and Z≥140o for backwards falling down. The Ultrasonic sensor works well for detecting the presence of user’s legs and the E18-D80NK proximity sensor works well for detecting the position of the user who is sitting in a wheelchair. Receiving notifications through the BLYNK server works well, not affected by distance provided there is an internet connection connected to the device.