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All Journal Jurnal Elementer (Elektro dan Mesin Terapan) Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Sistem Komputer & Kecerdasan Buatan
Hendri Novia Syamsir
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mechanical Engineering

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Alat Ukur Kadar Gula Darah dan Informasi Dosis Insulin Berbasis Sinyal Photopletysmograph (PPG) Putri Madona; Erwin Saputra; Hendri Novia Syamsir
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol 1 No 2 (2018): Volume I - Nomor 2 - Februari 2018
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Glucose and corresponding required insulin dosage measurement based on Photoplethysmograph (PPG), is a non-invasive method. The PPG equipment is able to calculate the insulin dosage based on BMI (Body Mass Index) information. The resulted PPG Signal will be transferred into microcontroller to be examined and converted into glucose index and insulin dosage displayed on the LCD screen. Taken 15 respondent to be examined with 20 up to 50 range of ages. The resulted measurements are compared with the one resulted by conventional measurement method. Based on the analysis, the proposed method is able to examine the glucose and insulin dosage up to 80% of accuracy in average.
Penerapan Fast Fourier Transform Method Untuk Monitoring Tegangan Fluktuasi Tauladan, Imam Suri; Hendri Novia Syamsir; Arif Gunawan
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 10 No 2 (2024): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v10i2.6215

Abstract

Based on PLN standards regulated in Minister of Energy and Mineral Resources Regulation No. 20 of 2020, changes in voltage on the network must be maintained within the voltage variation range of ±5% (Normal Voltage). Voltage is the change in voltage variations in a short time. Where the voltage change exceeds or below the standard voltage variation range, namely ±5% of the normal voltage. Based on IEEE Standard 1159-1995, the sag voltage is in the range of 10% -90% of the nominal voltage which lasts for 0.5 cycles. The voltage wave is in the range of 120% of the nominal voltage. Changes in voltage variations are caused by many factors such as large motor starting currents, uncontrolled load changes and short circuit current disturbances in the electric power system. The importance of maintaining voltage is a necessity because it is related to the reliability of an electric power system. For this reason, this research proposes "Application of the Fast Fourier Transform Method to Monitor Voltage Fluctuations" as a solution to power quality problems. To make it easier to process voltage (sinusoidal), the Fast Fourier Transform (FFT) method is needed. The FFT method algorithm is needed to convert the time domain into the frequency domain, so that it can simplify the monitoring system process. This research was implemented the FFT method for monitoring voltage fluctuations in no-load and load conditions. From the results, it can be concluded that inductive loads can affect voltage quality. This was proven when carrying out tests under load, from the results of the analysis there was a decrease in voltage (voltage SAG) of 10% (Vrms = 209.5 V; time duration 0.1436 s) and an increase in voltage (voltage swell) of 20.6% ( Vrms = 278.75 V; time duration 0.228 – 0.428 s).
A Pendekatan Extended Kalman Filter untuk Estimasi Keadaan Dinamis pada Generator Sinkron dengan Model Kompleks Nabila Aulia Ramadhani; Arif Gunawan; Syahrizal; Hendri Novia Syamsir; Muzni Sahar
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 3 (2025): Jurnal Elkolind Vol 12 No 3 (September 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i3.8782

Abstract

State information of synchronous generators plays a crucial role in monitoring, control, and fault detection within power systems, yet direct measurement often remains limited. This study proposes a dynamic state estimation method based on the sub-transient model of a synchronous generator combined with the Extended Kalman Filter algorithm. The approach enables accurate state estimation using only terminal measurements, making it suitable for real-time monitoring applications. The algorithm operates through prediction and correction stages that iteratively update the estimated states. Simulation results demonstrate that the proposed method achieves low mean square error values across various operating conditions and disturbance scenarios. The unstable fault case yields the smallest error of 4.41×10⁻⁹, while the combined process and measurement noise scenario results in the largest error of 1.19×10⁻¹. These findings confirm that the proposed approach provides accurate and reliable state estimation for synchronous generator sub-transient models and has strong potential to enhance power system stability and reliability.
Co-Authors Arif Gunawan Erwin Saputra Imam Suri Tauladan Muzni Sahar Nabila Aulia Ramadhani Putri Madona Syahrizal