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JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : 25408658     EISSN : 25408658     DOI : https://doi.org/10.21070/jeeeu
Core Subject : Engineering,
Electrical & Electronics Engineering
Aim: to facilitate scholar, researchers, and teachers for publishing the original articles of review articles. Scope: Electrical, Electronica, Telecomunication, Medical Electronica, Digital system, Control system.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 9 No. 1 (2025): April" : 5 Documents clear
PID Implementation for Depth Control and Navigation of Underwater Robots: Implementasi PID pada Pengendali Kedalaman dan Navigasi Robot Bawah Air Hermansyah, Azriel; Taufiqurrohman, Muh.; Rifandi, Safriudin
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 1 (2025): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i1.1688

Abstract

As a maritime nation with vast waters, Indonesia faces challenges in activities such as scientific observation, military operations, and underwater exploration. In this context, the development of underwater robots becomes crucial; however, depth control and navigation remain significant issues. Therefore, this research aims to address these limitations by implementing the PID method for depth control and stability of the underwater robot. By utilizing pressure sensors, gyroscope sensors, and PID control, the underwater robot is able to maintain stable depth at the specified levels and execute maneuvers according to the given angles.
Implementation of Load cell Sensors as Monitoring the Weight of Infusion Fluids in Inpatients Based on Internet of Things (IoT): Implementasi Sensor Load cell Sebagai Pemantau Berat Cairan Infus Pada Pasien Rawat Inap Berbasis Internet of Things (IoT) Vila, Vila Puspita Devi; Taufiqurrohman, Muh.; Subur, Joko
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 1 (2025): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i1.1690

Abstract

The use of electronics for medical purposes is currently very much needed, especially for monitoring infusion fluids. Infusion plays an important role in supporting the needs of inpatients as medicine, vitamins or replacing the patient's body fluids. One problem that often arises is the delay in replacing infusion fluid bags that have run out. If the infusion fluid runs out and the replacement is late, blood from the vein can enter the infusion tube, as well as air bubbles entering the vein. This condition can be fatal because blood flow is disrupted, and the oxygen the body needs cannot be distributed through the blood, so the body's organs will lack oxygen. Currently it is still controlled manually, so with research on an infusion monitoring system using a Load cell sensor which can be monitored remotely, it makes the nurse's time more efficient. In this research, the results of tests that have been carried out regarding load cell sensor readings have a 100% success rate in detecting the weight of infusion fluid from full condition until the fluid is considered finished and the data can be sent in real-time to Android by utilizing Internet of Things (IoT) technology.
Performance Analysis of Three Phase Induction Motor at PT. Intracawood Manufacturing Sartika, Linda; Huda, Abil; Prasetia, Abdul Muis; Sari, Lela Nofita
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 1 (2025): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i1.1692

Abstract

To support the production process in an industry, there are many electric motor equipment in the form of induction motors. Induction motors are the most widely used motors in various fields, ranging from household environments to large-scale industries. Induction motors that are used continuously do not guarantee that they will always work normally, meaning that the motor can experience damage. These damages can affect the performance of the reduced induction motor. To find out the performance of the motor at PT. Intracawood Manufacturing, an analysis was carried out on the Blower Sander, Rotary, Conveyor Dry, and Conveyor Finishing motors, respectively on taking motor data based on the name plate and the motor in the current condition that was running or after rewinding. Motor performance analysis was conducted by calculating current, input power, output power, load torque, induction torque, and efficiency. From the calculation results, the Blower Sander motor by taking motor on the name plate with a current of 103 A, obtained an input power of 58.979 kW, an output power of 51.214 kW, an induction torque of 335.12 N.m, a load torque of 330.62 and efficiency of 86,83%. Meanwhile, the current motor condition with a current of 81.2 A, obtained input power of 43.945 kW, output power of 38.605 kW, induction torque of 254.7 N.m load torque of 250.23 N.m, and efficiency of 87.84%. Can be concluded, the performance of a three-phase induction motor at PT. Intracawood Manufacturing was a better is after rewinding.
Use of the Section Technique Method to Obtain Reliability Index Through SAIDI and SAIFI Values PT PLN (Persero) Tarakan Sartika, Linda; Prasetia, Abdul Muis; Hasdiah, Miftahulhuda Primananda
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 1 (2025): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i1.1702

Abstract

With the increasing demand for electrical energy in the city of Tarakan must be accompanied by increasing the quality of distribution to customers to provide the flow of electrical energy in a fairly reliable power. in this study aims to meet and analyze the reliability of the power distribution system based on SAIFI and SAIDI by using the section technique method. Distribution system reliability is one of the ways to improve the quality of electrical energy services to consumers. Section technique by breaking the system into several parts and then analyzing each part so that the results can be optimal and the section is divided into 10 sections of 10 feeders in Tarakan city. There are several system reliability indices as a reference in analyzing the SAIFI and SAIDI. As for the calculation results of the section technique method, the SAIFI value analyzed is 2.393765 times / year, it can be seen that it meets the specified standards. While the SAIDI value of 1.760446 hours / year appears to meet the standard.
Placement for Condition Monitoring of Rotating Machine Elements Based on HSD: Penempatan untuk Pemantauan Kondisi Elemen Mesin Berputar Berdasarkan HSD Diah Prahmana Karyatanti, Iradiratu; Ramadhan , Muhammad Hakim
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 1 (2025): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i1.1703

Abstract

Careful placement and selection of sensors is the key to accurate motorbike monitoring. This research aims to develop an optimal sound sensor placement strategy for monitoring the condition of induction motor bearing elements. Sensor placement will affect monitoring accuracy. The nature of sound signals is that they easily overlap with surrounding sounds. Different placement of sound sensors will provide opportunities for non-motor sounds to overlap. The bearing condition monitoring system was developed in real time by processing sound signals using fast Fourier transform (FFT). The sensor placement strategy needs to be taken into account so that monitoring results obtain high accuracy. The honestly significant difference (HSD) approach is a test used to determine the best sensor placement. Tests were carried out with variations in the placement of sound sensor distances and different levels of bearing damage. The results of the research are the best sensor placement at a distance of 110 cm from the motor body with a detection accuracy of 94.14%.

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