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Analisa Pengembangan Sistem Pemantau Daya Listrik Berbasis IoT Fenty Pandansari; Hoedi Prasetyo; Yustina Tri Tularsih
Jurnal Teknik Vol 19 No 2 (2021): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v19i2.185

Abstract

The IoT-based power monitoring device is a device composed of a CT sensor of type SCT-013, an AC-AC power adapter, an Arduino, and a Raspberry Pi. The tool is used to monitor voltage, current, frequency, real power, apparent power and power factor. The measured basic quantities are voltage, current, and frequency. The purpose of the measurement and monitoring processes is to conserve, control the quality, and control the use of electrical energy. In the measurement and monitoring process, tool accuracy is very important because it is closely related to the quality of electrical energy. This study presents an analysis of the accuracy of the power monitoring tool according to the variations in voltage, current, and frequency at the source. The method used is to vary the voltage, current and frequency used as input to the system and compare the measurement results of the power monitor with the Fluke True RMS Multimeter. The test results show that the level of accuracy of the IoT-based power monitoring device on the voltage parameter is 99.1%, the current parameter is 98.75%-99.25% and the frequency is 100%, so it is a proper tool to measure the quality of electrical energy.
Analisis Kekasaran dan Kepresisian Hasil Surface Grinding pada Mesin Okamoto Grind-X ACC84ST Dengan Material DIN CK-45 Andhy Rinanto; Hoedi Prasetyo; Agus Kurniawan; Baruna Arya Putra W; Bobby Muhammad R; Cahyanto Onky S; Nikolaus Alun Prapanca H
Quantum Teknika : Jurnal Teknik Mesin Terapan Vol 2, No 1 (2020): October
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jqt.020117

Abstract

Surface grinding is the finishing proses needs high smoothness and precision. The main demands from this process is precise, roughness, and not burnt. This analyze is made to know the most influential variable for roughness and precision of a product. This analysis is also carried out to determine roughness and precision that can be achieved using the Okamoto Grind-X ACC84ST machine. Variables that used for this analyze are depth of cut, feeding, and cycle per feed. Every variable has three level. DIN CK-45 material is selected to be specimen because it is usually used by manufacturing and automotive industrial to make a main product. Taguchi method is used to reduce time and amount trial. Experiment replication is done to get more accurate data. The most influential variable for roughness is cycle per feed, while the most influential variable for precision is depth of cut. The roughness that can be achieved using the Okamoto Grind-X ACC84ST machine is in the range of 0,075 μm (N3) to 0,175 μm (N4). Size deviations that occurred in this study ranged from -0,007 mm to 0,005 mm.