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Peningkatan Implementasi Learning Management System (LMS) Sebagai Pembelajaran Jarak Jauh Dosen di Era Pandemi Covid-19 Rizqiyatul Khoiriyah; Gunadi Gunadi; S.B.P. Handhajani; Kusno Suryadi
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 2, No 4 (2022): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v2i4.233

Abstract

This community service activity is packaged in the form of training and assistance in implementing a learning management system (LMS) for lecturers at Gajayana University, Malang. In the training session, the participants practiced directly how to implement an LMS from start to finish. Then continued mentoring and independent consultation by the companion team of the Information Technology Center (PTI). After the mentoring period is over, the LMS of the lecturers has been successfully filled and implemented in lectures. The end result of this community service activity is an increase in understanding and skills in the implementation of the learning management system (LMS) for lecturers and the achievement of learning content in the LMS that is ready to be used for the next semester's lectures.
Detection and Analysis of CO, CO2 Exhaust Emissions in Two-Wheeled Motorized Vehicles Kusno Suryadi; Burhan Fazzry
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 3 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i3.4497

Abstract

CO and CO2 are some of the exhaust gases resulting from the combustion of motor vehicles. The increase in the number of vehicles causes the concentrations of CO and CO2 exhaust gases in the air to increase. To be able to detect the amount of CO gas concentration using the MQ7 sensor and the CO2 sensor, the TGS4161 sensor is used. For the sensor to work properly, it needs a normalization process before it is applied to the testing stage. Based on the test results, the sensor normalization process requires 54 seconds with a maximum CO gas concentration of 4139.7 ppm, or 0.413%, and an output voltage of 4.39 volts. The CO2 exhaust gas test resulted in a maximum gas concentration of 5862.06 ppm, or 0.586%, with an output voltage of 0.51 volts. From several test results, the amount of exhaust gas concentration is dominantly determined by the type of vehicle and engine speed, while the type of fuel does not significantly affect the exhaust gas concentration, with an average percentage difference of 1.2%..