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All Journal Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA)
Abdillah, Junindo
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Computer Science & IT Control & Systems Engineering

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Rancang Bangun Alat Sortir Jeruk Medan Berdasarkan Luas Lingkar Berbasis Mikrokontroler ATMega2560 Ginting, Yafet Nikolas; Abdillah, Junindo; Sarimole, Frencis Matheos
Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December
Publisher : FIKOM Universitas Bung Karno

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59039/sikomtia.v1i3.18

Abstract

The increasing demand in the agricultural sector demands efficient fruit sorting solutions. This study considered the design and implementation of a orange fruit sorter combining ultrasonic sensor technology, servo motor, and infrared proximity. This tool aims to measure small to large dimensions of orange fruits. The use of infrared proximity aims to counter the fruit in each path where the orange runs to its container, and then the calculated information is displayed on the LCD screen to provide clear information for farmers. The main advantage of this tool is its ability to automatically classify orange fruits by size and amount. The integration of ultrasonic sensors and infrared proximity provides accuracy in distance measurement and fruit counting. This tool innovation provides unprecedented solutions and potential in orange fruit sorting, and can increase productivity in the agricultural industry. This research uses a technology design and implementation approach by integrating ultrasonic sensors, servo motors, IR proximity, on microcontrollers. The designed tool is able to classify orange fruits automatically by size and number. The design of this orange sorter promises to increase efficiency in the agricultural industry. The implementation of sensor technology and automation systems has the potential to provide the right solution for fruit sorting needs.
Optimalisasi Alat Monitoring Tetes Infus Kristaloid Berbasis Mikrokontroler ATMega328 Mokodompit, Hudi Prayoga; Asruddin, Asruddin; Abdillah, Junindo
Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December
Publisher : FIKOM Universitas Bung Karno

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59039/sikomtia.v1i3.23

Abstract

In the medical world, supervision of intravenous devices is a priority and the main one to ensure proper and measurable fluid delivery to patients. This research focuses on the development of a crystalloid infusion drip monitoring device using a microcontroller. The background of this research arises from the need for a device that is able to monitor drip infusions automatically, reduce the workload of medical personnel and increase patient safety. The methods used in this study include designing, manufacturing, and testing on tools. Photodiode sensors are selected as the main component in detecting drops of crystalloid liquid. This tool is designed to optimize other supporting sensors to be integrated as instruction modules in counting infusion fluid drops. The application of microcontroller technology in affordable infusion monitoring devices has not been widely adopted in medical practice. This research is driven by the need for reliable monitoring tools in a fast-paced medical environment and requires precision. The results of this study showed that the developed tool succeeded in optimizing the function of the photodiode sensor in counting drops of 99% crystalloid liquid produced accurately. This tool is able to operate in accordance with its original purpose, namely as a monitoring tool as well as a reminder for patient safety. The conclusion is that this microcontroller-based crystalloid infusion drip monitoring device is an innovation and good practice in the medical field. This tool not only increases efficiency in infusion monitoring but also provides additional safety for patients.
Co-Authors Asruddin, Asruddin Ginting, Yafet Nikolas Mokodompit, Hudi Prayoga Sarimole, Frencis Matheos