Claim Missing Document
Check
Articles

Found 4 Documents
Search

Alat Bantu Terapi Pasca Stroke untuk Tangan Putri Madona; Said Ryan Syareza; Remilla Oktiasari; Elva Susianti; Muzni Sahar
Jurnal Elektro dan Mesin Terapan Vol. 4 No. 1 (2018): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.102 KB) | DOI: 10.35143/elementer.v4i1.1422

Abstract

Alat Bantu Terapi Pasca Stroke untuk Tangan adalah sebuah alat yang dirancang untuk memberikan kemudahkan kepada pasien penderita stroke dalam melakukan terapi mandiri, sehingga dapat mengurangi tingkat disabilitas pasca stroke. Dengan ketersediaan waktu yang tidak memadai untuk melakukan terapi di rumah sakit, pasien penderita stroke maupun keluarga pasien, kesulitan untuk menemukan jadwal terapi yang tersedia. Hal ini membuat keluarga sulit untuk menemukan jadwal untuk melakukan terapi dirumah sakit. Dengan alasan itulah dibuat sebuah Alat Bantu Terapi Pasca Stroke untuk Tangan yang dapat digunakan sebagai salah satu alat bantu dalam proses pemulihan pasca stroke yang dapat digunakan saat berada dirumah. Alat Bantu Pasca Stroke untuk Tangan ini dikontrol menggunakan mikrokontroler berbasis Mikrokontroler Arduino UNO dengan menggunakan motor DC sebagai penggeraknya untuk menahan beban tangan pasien. Alat ini dapat melakukan 4 (empat) mode pergerakan rehabilitasi, yaitu mode satu; gerakan siku kekiri dan kekanan, mode dua; gerakan siku keatas dan kebawah, mode tiga; lengan keatas dan kebawah, dan mode empat; gabungan dari semua mode dengan kecepatan yang aman bagi pasien pasca stroke. Tersedia mode pengaturan kecepatan pada alat, agar pengguna dapat mengatur kecepatan alat sesuai dengan kapasitasnya. Serta, pergerakan pada alat ini dapat memberikan kemudahan dan mengurangi resiko disabilitas.
Perancangan Dinding Pemecah Pada Mesin Pengupas Kulit Kopi Kering Muzni Sahar; Muhammad Al Dhaffa; Amnur Akhyan
Jurnal Elektro dan Mesin Terapan Vol. 6 No. 1 (2020): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (878.25 KB) | DOI: 10.35143/elementer.v6i1.3563

Abstract

Coffee is a beverage that is relatively favored by the people of Indonesia because of its taste and aroma. Takengon, Central Aceh district is one of the regions producing coffee beans in Indonesia. Many of the coffees we drink today are the result of coffee plantations originating from there. But many do not know that the process of making coffee drinks is not so easy, especially during the process of stripping the skin on coffee beans. The process of stripping the coffee husk is carried out by the community usually by turning the mill manually which is rotated by hand. Thus came the idea to make a Coffee Skin Peeling Machine Using Two Knives that can simplify the process of stripping the coffee skin efficiently and simply. This machine has 2 parts that can facilitate the stripping process, namely the rectifier shaft and paring knife. This machine can separate the results of stripping between beans and coffee mechanically and the best stripping percentage during the stripping process is 83% with an error percentage of 17 %.
Electrical Engineering Rancang Bangun Alat Proteksi Arus Diferensial Pada Transformator 3 Phase Berbasis Arduino: Sistem Proteksi Meisy Zahira; Arif Gunawan; Muzni Sahar
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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

Abstract

The transformer is one of the important equipment in the electrical system. If there is a disturbance in the transformer, it can cause damage to the transformer and also to the distribution of electric power. So that the transformer requires the main protection in the form of differential current protection. In this study the design of a differential current protection device on an Arduino-based three-phase transformer. To meet these needs, this differential current protection device uses Arduino Mega 2560 as a data processor and controller. The measurement uses the ACS712 20A current sensor and the ZMPT101B voltage sensor. The workings of this design refer to the tripping characteristics of ANSI 87T and the slope refers to the characteristics of the T60 relay. Based on the results of the tests carried out, the protection device does not disconnect the transformer with the load.This is because the load imbalance disturbance in one phase does not cause a differential current in the transformer winding. Besides, this design is equipped with a keypad for inputting the multiplier factor of the CT ratio and the real time value of the protection device. The value of the differential current and transformer voltage will be displayed on the LCD display and the current data on this protection will be stored on a micro SD card so that it can make it easier to monitor the condition of the transformer used.
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.