Greenhouse is currently used is urban farming. Smart greenhouse technology allows farmers to monitor their plants easily. This system requires much electrical energy supply. In order to save energy, additional electricity supply is needed. For this reason, photovoltaic is installed on the roof of the greenhouse. The obstacle in the installation of photovoltaic cells is that the power produced is not optimal, due to the movement of the sun’s position. For this reason, Maximum Power Point Tracking (MPPT) technology is used. In this paper, fuzzy logic was used for MPPT based on I and V from PV. The aim is to find the maximum operating point of a photovoltaic module so that it can increase the output power ratio of photovoltaic modules in varying temperatures and radiation levels. Simulation is done using MATLAB, so that a ratio of output power ratios is generated with and without using an MPPT. By using the fuzzy MPPT controller, it produces optimum power, at P PV max = 250 W, P out max = 160 W, P PV max = 174.8 W, P out max = 125 W, P PV max = 98.97 W, P out max = 75 W. This power will be used to supply electricity for 2 15 W lamps, 12 volts for the mini greenhouse.

This paper discusses a reaction wheel control system. A reaction wheel pendulum is good example of a non-linear and underactuated system, which attracts control system researchers to develop many control algorithms. The reaction wheel plant is usually used for studying advanced control system courses. In this paper, a mathematical model of the state space is discussing. A proposed LQR control algorithm is explained. Simulation and real time experiments have seen carried out to verify the performance of the proposed closed loop system. The LQR optimisation algorithm was able to find the optimum feedback gains. The simulation and real time experiments show that the reaction wheel pendulum could stabilize the pendulum at upright position.

– Patients with Covid-19 have several symptoms, one of which is a decrease in the oxygen content in the blood or oxygen saturation (SpO2). Detecting oxygen saturation in preventing the spread of Covid-19 is one of the first steps. In this study, researchers conducted an experiment to detect oxygen levels in the blood or oxygen saturation on the POLECTOR C-19 device that was made. By using a photoplethysmography (PPG) which is carried out non-invasively using the sensor, the MAX30102 aim is to get the oxygen saturation value which is used as a reactive and non-reactive decision maker. With the method, the moving average data used from the sensor readings in the form of analog data will be changed using the formula Ratio of Ratios by calculating the average oxygen level then the results can be used to calculate oxygen levels in the blood. The results of sensor readings on the POLECTOR C-19 tool with a digital oximeter from an average value of 10 samples have a difference in value of 0.4, the reading results are the same as the readings of existing medical devices (digital oximeter) so that this tool can be used as a reader. oxygen saturation parameters. In conclusion, this tool can detect a person's condition by predicting the risk or no risk of Covid-19 from the results of the sensor readings of oxygen levels in the blood.

The positive value of the internet is that the information generated can facilitate everyday human work. One of the negative impacts caused by the internet is cyber crime. As the Indonesian Army who is conducting studies at the Politeknik Angkatan Darat, it is not only required to be professional and proficient in physical warfare strategies. But it also has to be sophisticated and not technologically illiterate in dealing with all threats in cyberspace, including cyber crime. One of the basic sciences for dealing with cyber crime is computer networks by implementing the concept of network topology. Network topology simulation training using packet tracer software in the context of community service activities has the aim of providing technological concepts about the use of packet tracers along with network topology simulations. This training begins with an introduction to network topology which discusses implementation in military life and its strengths and weaknesses. Furthermore, the implementation of this knowledge into a packet tracer and simulating the network topology. From the participants consisting of telkommil, it is hoped that all of them can take part in the training in order to understand how to design a good computer network using packet tracer software.

Perkembangan teknologi yang sangat pesat memberikan dampak yang baik bagi keberlangsungan kehidupan manusia pada saat ini. Banyaknya perkembangan teknologi yang dapat mempermudahan aktivitas manusia di berbagai bidang seperti dibidang agrikultur, kesehatan, otomatisasi rumah, dan perikanan. Seiring pesatnya perkembangan teknologi nirkabel di bidang perikanan ini memungkinkan untuk menggunakan sistem yang terintegrasi dengan IoT (Internet of Thing). Tujuan umum dari pelakasanaan dari penelitian ini adalah untuk membuat rancangan sebuah alat yang digunakan untuk memantau  kondisi air pada kolam ikan nila dengan menggunakan teknologi IoT. Hal ini dilatarbelakangi oleh kurang efektifnya para peternak ikan nila selama ini pada saat melakukan pengukuran kondisi kolam ikan. Para petani harus datang langsung kekolam ikan mereka dan mengukur pada kolam ikan nila mereka. Kondisi kolam ikan disini adalah suhu dan tingkat keasaman air pada kolam ikan nila. Hal ini dapat dilakukan dengan cara menggunakan sensor suhu air DS18B20 serta sensor pH SEN0161 yang mana digunakan untuk mendeteksi nilai suhu dan nilai tingkat keasaman air pada kolam ikan nila. Hasil simulasi dari penelitian ini nantinya dapat diterapkan menjadi sebuah prototype dan dimanfaatkan para peternak ikan nila agar mempermudah aktifitas peternak ikan dalam upaya mengamati kondisi air dikolam ikan nila. Selain itu, pemanfaatan solar cell sebagai sumber daya pada sistem ini. Hasil dari perancangan ini menggunakan aplikasi bylink pada android dapat menampilkan data dari pembacaan sensor yang dapat diakses oleh peternak ikan nila kapanpun menggunakan internet secara real time. Dengan menerapkan sistem pemantauan kolam ikan nila berbasis Internet of Thing ini dapat mempermudah pekerjaan peternak budidaya ikan nila sehingga peternak budaya ikan nila memiliki lebih banyak waktu luang yang bisa digunakan untuk mengembangkan kolam budidaya ikan nilanya serta usahanya.