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Rancang Bangun Alat Surgical Smoke Evakuator dengan Hepa Filter sebagai Penyaring Udara Muhammad Adham Fathurozi Ramadhan; Andi Kurniawan Nugroho; Patrisius Kusi Olla
Jurnal Teknik dan Science Vol. 4 No. 2 (2025): Juni : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v4i2.2165

Abstract

The smoke generated from surgery contains harmful particles, including carcinogenic substances and microorganisms, which can endanger the health of medical personnel and patients. To reduce this risk, the design and testing of a Surgical Smoke Evacuator tool equipped with a HEPA filter as an air filter media is carried out. This tool utilises an Arduino Uno microcontroller as the main controller, an MQ-2 sensor to detect smoke, a DC motor as a suction system, and an I2C LCD to display information. The tool is also equipped with a button to adjust the motor speed level manually. Testing is done by evaluating the voltage and RPM of the motor in various conditions.
Perancangan dan Pembuatan Plasma Blood Separator Berbasis Arduino Uno Patrisius Kusi Olla; Bayu Wahyudi; Muhammad Nur Alfian; Diah Rahayuningtyas; Mohammad Rofi'i
Jurnal Teori dan Aplikasi Fisika Vol. 13 No. 01 (2025): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v13i01.412

Abstract

This research aims to design a Plasma Blood Separator that can separate plasma from red blood cells automatical-ly using an Optocoupler sensor and a specimen tube cutter. This sistem is equipped with an Arduino Uno as the con-trolling brain, a servo motor to clamp the hose, a DC motor to open the blood bag pressure, a series of push buttons to open the servo, and a buzzer to indicate the completion of separation. After testing the Arduino Uno-based Plasma Blood Separator, all functions can work well by showing results in three trials varying the length of the tube. The var-ied hose lengths are 38 cm, 52 cm, 71 cm. The estimated separation times are 1.16 minutes, 2.17 minutes and 3.4 minutes. In the voltage measurement results, the measurement results were obtained with a small percentage of error with a value of <5% and a high accuracy value with a value of >90%. Keywords: plasma blood, separator, arduino
Design and Development of a Negative Pressure Wound Therapy Device Citra Ananda Adri Hanifa; Mohammad Rofi’i; Patrisius Kusi Olla
International Journal Science and Technology Vol. 4 No. 2 (2025): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i2.2199

Abstract

This study presents the design and development of a Negative Pressure Wound Therapy (NPWT) device aimed at improving the treatment of chronic wounds, particularly diabetic foot ulcers in patients with diabetes mellitus. The primary objective is to create an efficient, user-friendly, and portable wound therapy solution suitable for both clinical and home-based care. The device utilizes negative pressure to enhance blood perfusion, reduce exudate, and lower infection risk, thereby accelerating the healing process. The system is built using a NodeMCU ESP32 microcontroller, a vacuum motor pump, HX710 pressure sensor, solenoid valve, and a Nextion LCD interface. It supports three therapy modes—Continuous, Intermittent, and Dynamic—controlled by a PID algorithm to maintain stable pressure between -25 to -150 mmHg. Testing was conducted at three measurement points: battery voltage, sensor accuracy, and LCD interface functionality. Results indicate that the device performs effectively within expected operational parameters across all modes. The NPWT prototype offers a cost-effective, functional alternative for wound care management and shows promise for further development, including digital integration and broader clinical applications.
Rancang Bangun Alat Monitoring Volume dan Kontrol Tetesan Infus Berbasis Internet Of Things (IoT) Muhamad Arifin Ilham; Imam Tri Harsoyo; Patrisius Kusi Olla; Ilham Maulana
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.30230

Abstract

Abstract:  The administration of IV fluids is one of the common medical procedures carried out in hospitals. However, manual monitoring of infusion volume and droplets can be less efficient and potentially lead to errors. Therefore, this study aims to design and build an IoT-based infusion drip volume monitoring and control tool. It uses a loadcell sensor to accurately measure the volume of the infusion fluid, the HX711 as a signal amplifier from the loadcell sensor, and an optocoupler sensor to calculate the number of infusion droplets. Data from these sensors is then sent to the IoT platform to be monitored in real-time via mobile devices or computers. The test results show that the device is capable of monitoring the volume and drippings of the infusion with high accuracy and provides notifications in the event of critical conditions, such as low volume of infusion fluid or abnormal infusion droplets. Thus, this tool is expected to increase efficiency and safety in the administration of IV fluids in hospitals.Abstrak: Pemberian cairan infus merupakan salah satu tindakan medis yang umum dilakukan di rumah sakit. Namun, pemantauan volume dan tetesan infus secara manual dapat menjadi kurang efisien dan berpotensi menimbulkan kesalahan. Oleh karena itu, penelitian ini bertujuan untuk merancang dan membangun alat monitoring volume dan kontrol tetesan infus berbasis IoT. Alat ini menggunakan sensor loadcell untuk mengukur volume cairan infus secara akurat, HX711 sebagai penguat sinyal dari sensor loadcell, dan sensor optocoupler untuk menghitung jumlah tetesan infus. Data dari sensor-sensor tersebut kemudian dikirimkan ke platform IoT untuk dipantau secara real-time melalui perangkat seluler atau komputer. Hasil pengujian menunjukkan bahwa alat ini mampu memonitor volume dan tetesan infus dengan akurasi yang tinggi dan memberikan notifikasi jika terjadi kondisi kritis, seperti volume cairan infus yang hampir habis atau tetesan infus yang tidak normal. Dengan demikian, alat ini diharapkan dapat meningkatkan efisiensi dan keamanan dalam pemberian cairan infus di rumah sakit.                 
RANCANG BANGUN ALAT SMART BIN AI RUANG TUNGGU PASIEN DI RUMAH SAKIT Rafi Budhi Rahmadani; Imam Tri Harsoyo; Patrisius Kusi Olla
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.31593

Abstract

Abstract:  Hospital cleanliness is very important in creating a healthy and comfortable hospital environment. Therefore, proper waste management is needed. Waste that is not managed properly can cause environmental pollution and health problems. To overcome these problems, a smart trash bin system is needed that can detect and sort waste automatically. In this final project, a Smart Bin AI tool based on Arduino Uno is designed and built, equipped with a HuskyLens sensor, servo motor, and artificial intelligence (AI) system for waste type classification. The HuskyLens sensor is used to detect the presence of objects according to their type and classification, while the servo motor functions as a trash can lid driver. The integrated AI system helps classify waste types into organic, inorganic and B3 based on visual images. The test results show that this tool can operate automatically and provide a fast and accurate response in waste classification with a success rate of 90%. With this system, the waste disposal process becomes more efficient, hygienic, and supports efforts to maintain environmental cleanliness in hospitals.Abstrak: Kebersihan di rumah sakit merupakan suatu hal yang sangat penting dalam menciptakan lingkungan rumah sakit yang sehat dan nyaman . oleh karena itu diperlukan pengelolaan sampah yang baik dan benar. Sampah yang tidak terkelola dengan baik dapat menyebabkan pencemaran lingkungan dan masalah kesehatan. Untuk mengatasi permasalahan tersebut, dibutuhkan sistem tempat sampah pintar (Smart Bin) yang mampu mendeteksi dan memilah sampah secara otomatis. Pada tugas akhir ini, dirancang dan dibangun sebuah alat Smart Bin AI berbasis Arduino Uno yang dilengkapi dengan sensor HuskyLens, servo motor, dan sistem kecerdasan buatan (AI) untuk klasifikasi jenis sampah. Sensor HuskyLens digunakan untuk mendeteksi keberadaan objek sesuai jenis dan klasifikasinya, sedangkan servo motor berfungsi sebagai penggerak tutup tempat sampah. Sistem AI yang terintegrasi membantu mengklasifikasikan jenis sampah menjadi organik, anorganik dan B3 berdasarkan citra visual. Hasil pengujian menunjukkan bahwa alat ini dapat beroperasi secara otomatis dan memberikan respons yang cepat serta akurat dalam pengklasifikasian sampah dengan nilai persentase keberhasilan sebesar 90%. Dengan adanya sistem ini, proses pembuangan sampah menjadi lebih efisien, higienis, dan mendukung upaya dalam menjaga kebersihan lingkungan di rumah sakit.