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All Journal Scientific Journal of Informatics JAR'S (Journal of Advanced Research in Informatics)
Arifin, Nur Hatima Inda
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Computer Science & IT

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Monitoring Infus Dan Detak Jantung Berbasis Internet Of Things (IoT) Syafiih, M; Nadiyah, Nadiyah; Andayani, Sri Astutik; Arifin, Nur Hatima Inda
Jurnal Ilmiah Informatika Vol. 8 No. 2 (2023): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v8i2.124-131

Abstract

An alternative medical device called an IV is used to replenish lost body fluids and maintain the body's electrolyte balance. Infusion fluid administration is a very useful way to help and speed up the recovery of the patient's condition during the treatment period. In hospitals, clinics and health centers, nurses generally still control and monitor the use of IV fluids manually. Nurses must periodically check the condition of each patient's infusion. Thus, delays in infusion replacement often occur. This has a negative impact on the patient, such as blood being sucked into the infusion hose and the possibility of clotting in the hose. So that patients will experience losses to these conditions, nurses are required to always be on time in replacing infusions. There are still many people who do not understand the normal human heart rate, because health workers do not socialize to the public about heart rate. Lack of understanding of the human heartbeat that is often found in our environment. Based on the above problems, the research to be carried out will provide several solutions, it is necessary to make a sensor to detect infusion filling for patients who are under treatment so that it will help nurses in controlling infusion filling. The existence of monitor results related to human heart rate as a tool so that it can measure human heart rate. The method used is Rapid Application Development (RAD), this research produces a sensor tool to detect infusion and human heart rate.
Penerapan Algoritma K-Means Untuk Clustering Penilaian Layanan Berdasarkan Indeks Kepuasan Mahasiswa Universitas Nurul Jadid Nadiyah, Nadiyah; Arifin, Nur Hatima Inda; Karim, Abdul
Journal of Advanced Research in Informatics Vol 2 No 2 (2024): Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v2i2.3431

Abstract

Student Satisfaction Index has a very important role in the university environment as it is closely related to the accreditation assessment process. In this context, Nurul Jadid University faces shortcomings in calculating student satisfaction, which has the potential to disrupt the efficiency of time use and have an overall negative impact. As a solution, this research aims to cluster student answers using the K-Means algorithm implemented through the Streamlit web platform with the Python programming language. The results showed that this approach was able to produce excellent clustering, with an accuracy rate of 97%. The main objective of this research is to improve efficiency in the process of measuring student satisfaction levels, with the hope of making a significant contribution to improving the quality of university services and the process of evaluating university accreditation more efficiently. As such, this research has important implications in improving the overall performance of the university in the face of challenges.
Co-Authors Abdul Karim Andayani, Sri Astutik Nadiyah Nadiyah Syafiih, M