Artikel ini disusun berdasarkan kegiatan pengabdian kepada masyarakat (PKM) yang pernah dilakukan di Pondok Pesantren Darun Nafi KM.34 Samboja Kabupaten Kutai Kartanegara. Kegiatan PKM yang dilakukan adalah pemasangan lampu penerangan jalan berbasis solar system. Proses perhitungan dan pengujian lampu penerangan jalan berbasis solar system akan dibahas di dalam artikel ini. Lampu penerangan jalan menggunakan lampu dc 12 Volt, panel surya 50 Wp, charge control 10 A, dan battery 65 Ah. Lampu penerangan jalan digunakan selama 12 jam.
Masalah terorisme yang melanda dunia berimplikasi pada peperangan terhadap terorisme secara global. Penciptaan robot penjinak bom yang mampu menjinakkan bom secara handal dimaksudkan untuk menciptakan keamanan pada seluruh bidang serta pelayanan terhadap umat manusia. Tujuan dari penelitian ini adalah untuk menghitung error trajectory tracking pada robot penjinak bom. Robot penjinak bom ini menggunakan roda caterpillar dengan menggunakan dua motor dengan sistem kendali independen. Selain itu robot diuji cobakan dengan menggunakan kendali wireless dan navigasi denganlLine follower sistem. Pengujian dilakukan dengan membuat dua buah track lintasan pada permukaan lantai selanjutnya menguji sistem navigasi dengan kontrol manual melibatkan dua operator, kemudian penulis mengimplementasikan program sistem kendali robot penjinak bom menggunakan sensor garis. Kesimpulan yang dapat diperoleh dari penelitian ini adalah sistem kontrol dengan menggunakan wireless dan line follower dapat digunakan secara bergantian dimana nilai error untuk line follower sistem jauh lebih kecil dibanding dengan menggunakan sistem kontrol langsung (bluetooth).
The aim of this research is to design and make testing tool of trust force brushless motor and propeller in the use of Unmanned Aerial Vehicle (UAV). The testing tool system of trust force created in this study make use of Arduino Uno Atmega 328 as its microcontroller. This tool is equipped with a load cell that serves to measure the amount of thrust force generated by the combination of brushless motors and propellers when rotating. The load cell used is load cell 5 kg which is connected to the HX 711 module that serves to convert the changes that occur in the measured load cell in the change of resistance and convert it into the voltage across the circuit. There are 2 pieces of microcontroller, one microcontroller is used to set the magnitude RPM of brushless motor and another microcontroller serves to process input signals from load cell and HX 711which will be passed into output in the form of gravity data through serial monitor on pc / laptop. This research resulted in the design testing tool of trust force which is able to test the thrust force of a combination of brushless motors and propellers up to a maximum of 5 kg with the use of brushless motors and propellers can be changed or varied the output is the amount of gravity data through the serial monitor and can be plotted in the form of tables or graphs.
The fish drying process aims to preserve the fish to reduce losses due to the decay process. In hot conditions or through sunlight exposure, the drying process should not be a problem, but if it rains, the fish drying process will take a longer time, and create a smell that disturbs the surrounding environment for a relatively long time. The fish dryer is designed to work automatically, aiming to speed up drying time using fuzzy logic, thereby minimizing spoilage and air pollution due to smell from the fish drying process. The design of the tool uses an experimental method through literature study as a source of analysis, planning, and manufacturing fish dryer using an Arduino Mega 2560, temperature sensor DHT 22, load cell sensor, humidity sensor, fan, heating element, and LCD as well as software with Fuzzy Mamdani method. The results show that the weight of fish that had undergone a drying process using an automatic dryer, which was 500 grams, indicated a drying process of 50% of the initial weight of 1000 grams, with a drying time of 4.48 hours. The previous drying time by manual drying took 45 hours. It shows a control system using fuzzy logic on fish drying equipment, accelerating the drying time about 10 hours faster than sun drying time. It can be concluded that it can increase the amount of dry fish production and reduce odors in the environment around the drying because the fish are in the dryer with a closed condition.
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