Husni, Miftahul (2026) IMPLEMENTASI METODE ABSDIFF PADA SISTEM DETEKSI SUMBATAN ALIRAN INFUS NaCl BERBASIS INTERNET OF THINGS. Sarjana (S1) thesis, Universitas Muhammadiyah Indonesia.
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Abstract
Infusion fluid administration is a medical procedure that requires continuous monitoring because blockages or exhaustion of IV fluids are often detected late and can disrupt the patient's therapy process. This study aims to implement the Absdiff method in an Internet of Things-based NaCl infusion flow blockage detection system. The system was developed using a Raspberry Pi 5 as the main controller, a Pi Camera V3 NoIR to detect fluid droplet movement using the Absdiff method, and a load cell combined with the HX711 module to measure changes in IV fluid weight. Data from both sensors are processed to determine whether the IV is normal, blocked, or empty, and the results are then sent in real-time via the Telegram application. Tests were conducted on the load cell sensor, the Absdiff method, the Telegram communication system, and the system as a whole. The test results show that the load cell sensor has an accuracy rate of 91.62%, the Absdiff method can detect changes in intensity between frames as an indicator of the presence or absence of IV drip movement, while sending Telegram notifications was successful with a 100% success rate. Based on these results, the developed system can detect normal, blocked and empty infusion conditions in real-time so that it can support the infusion monitoring process to be more effective, accurate and help medical personnel obtain information on infusion conditions quickly.
Keywords: Infusion Blockage Detection, Absolute Difference, Raspberry Pi 5, Load Cell, Internet of Things.
| Item Type: | Thesis (TA, Skripsi, Tesis, Disertasi) (Sarjana (S1)) |
|---|---|
| Contributors/Dosen Pembimbing,NIDN Dosen bisa diakses di LINK https://bit.ly/NIDNdosenunismabekasi: | Contribution Contributors / Dosen Pembimbing NIDN UNSPECIFIED Firasanti, Annisa 0412108901 UNSPECIFIED Bakri, Muhammad Amin 0425106801 |
| Keywords / Kata Kunci: | Keywords: Infusion Blockage Detection, Absolute Difference, Raspberry Pi 5, Load Cell, Internet of Things. |
| Subjects: | Kendali/Kontrol Konversi Energi |
| Faculty: | Fakultas Teknik > Teknik Elektro S1 |
| Depositing User: | Mr. Miftahul Husni |
| Date Deposited: | 06 Aug 2026 09:20 |
| Last Modified: | 06 Aug 2026 09:20 |
| URI: | http://repository.umindonesia.ac.id/id/eprint/10495 |
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