This research raises the topic of modern technology in the field of rice fields. The problem in this research is determining the fuzzy inference system algorithm for electronic engineering. The prototype was built by Raspberry Pi and python-based to the internet of things. The objective of this research is to design a new model for the rice field monitoring/control system and display every condition based on the internet of things. So that the hypothesis of this research can answer the phenomena that occur in rice fields, including drought problems, maintained plant conditions. The test results showed that irrigation control automatically runs optimally by scheduling, automatic irrigation control of water pH degree value detection analyzed by fuzzy Tsukamoto method at Z=3.5 defuzzification value for low and high irrigation control, and Z value=1.83 for normal irrigation control. Furthermore, the scheduling of spraying liquid fertilizer obtained the results of duration for 60 min in accordance with the needs of fertilizer dose. Lastly, for monitoring data on the website successfully accessed anywhere from the use of hosting servers and domains. Finally, it can be concluded that fuzzy Tsukamoto's algorithm is appropriate to be applied to the modern rice field system.

A stepper motor is an electro mechanical device that can convert electrical pulses to the axis of movement. The finding problem in the movement of a stepper motor is cannot respond to the clock signal directly because the motor windings require a clock (sequence) in the correct order. If the control signal given is not correct, the motor is not moving according to the specified precision. To answer these problems, it is necessary to move the stepper motor with a clock signal that works in real time. The research method is done by designing and testing the stepper motor movement in full stepp and half step with the direction of Clock Wise (CW) and Counter Clock Wise (CCW) movement. These are simulated by using FPGA Isim and implementation using a stepper motor. The results of several experiments have been carried out the stepper motor movement degree according to the input value entered,responding timely movement, and the direction of movement stepper motor.

In this paper, it is a solution to assist government policies in reducing the spread of the 2019 coronavirus disease (COVID-19) at Mercu Buana University, where the system is designed to function as an online admissions interface using fuzzy logic with artificial intelligence. Where the system is fully automatic, starting from processing input data and output data in the form of selection results made by the system in real-time. Fuzzy logic for the lower limit value which is considered very low is 50 and the upper limit is 55. For the low category value, the lower limit is 50 and the upper limit is 65. For medium category values the lower limit is 63 and the upper limit is 78. And for high category values, the limit is lower than 77, and an upper limit of 85.

Sistem NFV merupakan sebuah arsitektur jaringan yang menggunakan teknologi virtualisasi untuk seluruh fungsi platform jaringan dan fungsionalitas perangkat keras. Salah satu platform cloud computing yang dapat digunakan untuk membangun NFV adalah Devstack. Devstack merupakan sebuah tools untuk membangun layanan Private Cloud Storage. Melalui sistem ini, layanan Private Cloud Storage dapat berjalan didalam sebuah jaringan virtual. Pada penelitian ini dilakukan implementasi jaringan virtual menggunakan devstack yang berbasis insfrastruktur NFV pada layanan Private Cloud Storage, dilanjutkan dengan pengukuran QoS diantaranya adalah throughput, bit rate, jitter, dan delay. Melalui penelitian ini, dapat diketahui kemampuan suatu jaringan virtual pada suatu infrastruktur cloud computing. Berdasarkan standar ITU-T, nilai Jitter dan packet loss bernilai sangat baik.

In recent times, there have been a lot of researches that carry out the development of microstrips as a medium for designing antennas and filters. One form of microstrip development in this research is a filter in radar applications. Designing and realizing a bandpass filter that works at a frequency of 3.0 GHz with the square loop resonator method and analyzing the performance of a bandpass filter that has been designed to have good characteristic values and according to the desired specifications are the objectives of this research. The novelty of research from the square loop resonator method is the resulting eleptic response, narrow bandwidth and small dimensions. Thus, the square loop resonator is the method proposed in this research. The result of this research is to produce a filter response measurement on a vector analyzer. The findings obtained are a bandwidth widening of 30 MHz and a shift in the center frequency of 60 MHz from the original design of 3 GHz to 3.06 GHz. In the simulation results via High Frequency Structure Simulator (HFSS), the return loss (Sll) value is -29.6dB and the insertion loss (S21) value is -0.8dB, while based on the measurement results, the return loss (Sll) value is -22.3dB and the insertion loss value (S21) of -3.05dB.