p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal ASRO JOURNAL - STTAL
Claim Missing Document
Check
Articles

Found 2 Documents
Search

DESIGN OF TEMPERATURE AND AIR HUMIDITY MONITORING INFORMATION SYSTEM BASED ON ANDROID AND IOT (INTERNET OF THINGS) Alexander Victor Bukit; I Nengah Putra A; Febryan Galih Rahardi; Ahmadi Ahmadi
JOURNAL ASRO Vol 11 No 2 (2020): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.596 KB) | DOI: 10.37875/asro.v11i2.273

Abstract

For a soldier, physical abilities are needed in every task implementation, so the daytime running activities become a compulsory menu for every soldier who is carrying out education. Both the basic military education and further education. According to health experts, benefit of jogging is to lose weight so as to avoid obesity, improve the ability of the lungs, heart and various other health benefits. However, we also have to pay attention to the temperature of the air because it is at a certain temperature, it will be very risky if we carry out the afternoon run. Not a few victims affected by heat stroke due to run during the day with high air temperatures. The current mechanism, temperature measurements are carried out manually by members of the local Satkes, then the Satkes report the results of temperature measurements to Binjas and then Binjas decide whether or not to run afternoons that day. After the decision was made, the Binjas reported to the guard division and the guard to spread the news through the prayer watch. Therefore, with this android-based temperature and humidity monitoring information system, we can easily find out whether today's temperature is safe or not to carry out daytime running activities.Keywords : Afternoon Run, Heat stroke, Android.
DESIGN OF DETECTING ACOUSTIC WAVES AT THE EXERCISE SMART MINE USING ACOUSTIC SENSOR I Nengah Putra A; Nuri Nur Cahyono; Gesit Pratiknyo; M Sigit Purwanto
JOURNAL ASRO Vol 11 No 2 (2020): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.321 KB) | DOI: 10.37875/asro.v11i2.270

Abstract

The Indonesian Navy is a unit of defense of the Republic of Indonesia (NKRI). Sea mines are explosive devices placed in waters to destroy ships. Acoustics is a branch of physics that deals with all mechanical waves in liquids, gases and solids, such as vibration, sound and ultrasonic. Arduino has made microcontroller technology more accessible and easier for even novice users. Because of this, there are special functions in audio or acoustic processing techniques aimed at using Arduino. The application of acoustic signals in the military field of the Navy, in the identification of vessels caught by the microphone receiver. The movement of objects that are caught by the microphone will be analyzed to conclude the object. From the results of the sound characteristics raised by the object, it will give a different picture for different variations of the object. Processing acoustic signals using DSP will make it easier to infer the captured acoustic signal. The circuit board used is a microphone signal amplifier and signal conditioner, for processing the audio signal obtained from the microphone and to produce output data which is the result of the process using Arduino. Analog-to-digital converter (ADC) of the microcontroller works in the voltage range from 0.0 V to +3.3 V or +5.0 V. Toachieve good sampling results, that the signal peak is close to the maximum value of the ADC. Additionally, voltage amplitudes above this threshold can damage the controller input port or produce unwanted harmonics. Therefore, a signal pre-amp circuit is needed to guarantee the appropriate audio sample signal as well as to protect the system. The test results obtained from the system analyzer frequency and signal meters can be used to identify acoustic signals. Keyword: Singnal Acoustic/michophone, controller, Arduino Uno, pre-amp frequency analyzer