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Sistem Keselamatan Terhadap Kebisingan Di Kamar Mesin Berbasis Mikrokontroler Arduino Uno Ahmad Faqih Supriyadin; Edi Kurniawan; Eddi Eddi
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 2 (2024): Juni : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i2.3755

Abstract

One of the organs in the body that can help humans maintain balance is the ear. One of the body's main sound-producing organs is the ear, which also produces sound because it has unique receptors that can detect sound waves. However, the frequency range between 20 Hz and 20,000 Hz is the high limit that the ear can hear. This is why individuals often experience acute hearing loss after exposure to loud sounds or more than 20,000 Hz. A tool that can detect noise in an area, such as in an engine room, was created to overcome this problem, especially on ships After designing the tool and testing the safety system tool for noise in the engine room based on the Arduino Uno microcontroller, this system became a new technology for monitoring noise in the engine room. Then testing on all sensor readings worked well with an average percentage error on the ship running 0.70% and on the ship stopping 1.19% and the distance between the transmitter and receiver reaching a range of 290 cm without obstructions and with obstructions reaching around 130 cm. After all the equipment is working properly, earmuffs can be used to protect human hearing by educating all crew members to be able to use earmuffs when entering the engine room or going to work.
Rancang Bangun Kendali Kapal Jarak Jauh Berbasis LoRa Aji Nugraha; Diana Alia; Eddi Eddi
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 2 No. 4 (2024): Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v2i4.567

Abstract

The remote-control system on this Unmanned Surface Vessel (USV) or unmanned ship uses Long Range (LoRa) technology. LoRa was chosen because of its ability to transmit data over long distances with low power consumption, making it very suitable for applications in the maritime environment. The control system on the USV is responsible for controlling movement, so it involves several technologies and components that work together to ensure the USV can operate efficiently. The way a USV works involves several systems working together to allow the autonomous vehicle to operate on the water surface unmanned or without direct human intervention. Under Line of Sight (LOS) conditions, the range of LoRa-02 to control unmanned is success rate up to a distance of 100 meters and achieved a 100% for data transmission. However, in the Non-Line of Sight (NLOS) test, there was a decrease in the range of only 70 meters due to obstacles such as trees or other objects. The transmitted data comes from the wireless camera in the form of images with timestamp displayed in real-time. The display from the wireless camera is utilized for visual field monitoring and can be monitored remotely.
Rancang Bangun Prototype Smart Door dengan Sistem Voice Recognition V3 Berbasis Arduino Okky Hermawanto; Sri Mulyanto Herlambang; Eddi Eddi
Venus: Jurnal Publikasi Rumpun Ilmu TeknikĀ  Vol. 2 No. 5 (2024): Oktober: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v2i5.572

Abstract

Most door accesses used in homes still use conventional keys. Where the use of manual keys is still vulnerable to loss or damage and is not very safe to use, because manual keys can be duplicated or duplicated by other people. This certainly feels less practical and flexible. This research aims to help improve door security. With a voice recognition system, only certain people can access it using a certain access code. Researchers used the trial and error method. The factor being tried is the voice recognition V3 module which can read voice recordings. The results of this research can be implemented in the form of a tool, where the system can open and close house doors according to the planned design, namely through voice commands and the designed system can run normally according to the automatic system that has been designed in prototype form. The conclusion from this research is that the voice recognition module is capable of recording sounds up to a distance of 20 cm. In voice recording < 10 cm the module is relatively easier to receive voice commands, in recording > 10 cm and < 15 cm the module is slightly less able to receive voice commands, so that in voice recording at a distance of 15 cm to 20 cm the module is very poor in receiving commands sound well.