Analysis and Development of Seawater Density Measurement Algorithms Using Arduino Uno and YL-69 Sensor
| Main Authors: | Miftahul Walid, Hozairi, Madukil Makruf |
|---|---|
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
Ikatan Ahli Informatika Indonesia (IAII)
, 2020
|
| Subjects: | |
| Online Access: |
http://jurnal.iaii.or.id/index.php/RESTI/article/view/2430 http://jurnal.iaii.or.id/index.php/RESTI/article/view/2430/327 |
| ctrlnum |
article-2430 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Analysis and Development of Seawater Density Measurement Algorithms Using Arduino Uno and YL-69 Sensor</title><title lang="id-ID">Analysis and Development of Seawater Density Measurement Algorithm Using Arduino Uno and YL-69 Sensor</title><creator>Miftahul Walid</creator><creator>Hozairi</creator><creator>Madukil Makruf</creator><subject lang="en-US">Seawater Density</subject><subject lang="en-US">Salt Production</subject><subject lang="en-US">Microcontroller</subject><subject lang="en-US">Arduino Uno</subject><subject lang="en-US">YL-69</subject><subject lang="id-ID">Seawater density, Salt Production Process, Microcontroller, Arduino Uno, YL-69</subject><description lang="en-US">In this research, an analysis was carried out to develop a measuring instrument for seawater density in salt production using a microcontroller (Arduino Uno) and YL-69 sensor, this sensor was commonly used to measure soil moisture. The experimental method was used in this research to produce initial data in the form of resistance and seawater density values, then calculations are carried out using statistical methods to find equations and produce a constant variable that connects the resistance and seawater density values. The equation was used to compile the algorithm into Arduino Uno. As for the results of this research,&nbsp; From six experiments conducted, two experiments produced the same sea water density value between the actual and the predicted, namely the 2nd and 5th experiments, while for other experiments there was a difference between the actual and predicted values, however, it was not too significant, the difference occurs between the value range 0 ~ 1, to determine the level of error, use the Mean Square Error (MSE) with an error level of = 0.5 and Mean Absolute Error (MAE) with an error level of = 0.6. The contribution of this research is an algorithm that can predict the density value (baume) based on the resistance value obtained from the YL 69 sensor.</description><description lang="id-ID">In this research, an analysis was carried out to develop a measuring instrument for seawater density in salt production using a microcontroller (Arduino Uno) and YL-69 sensor, this sensor was commonly used to measure soil moisture. The experimental method was used in this research to produce initial data in the form of resistance and seawater density values, then calculations are carried out using statistical methods to find equations and produce a constant variable that connects the resistance and seawater density values. The equation was used to compile the algorithm into Arduino Uno. As for the results of this research,&nbsp; From six experiments conducted, two experiments produced the same sea water density value between the actual and the predicted, namely the 2nd and 5th experiments, while for other experiments there was a difference between the actual and predicted values, however, it was not too significant, the difference occurs between the value range 0 ~ 1, to determine the level of error, use the Mean Square Error (MSE) with an error level of = 0.5 and Mean Absolute Error (MAE) with an error level of = 0.6. The contribution of this research is an algorithm that can predict the density value (baume) based on the resistance value obtained from the YL 69 sensor.</description><publisher lang="en-US">Ikatan Ahli Informatika Indonesia (IAII)</publisher><date>2020-10-30</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://jurnal.iaii.or.id/index.php/RESTI/article/view/2430</identifier><identifier>10.29207/resti.v4i5.2430</identifier><source lang="en-US">Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 4 No 5 (2020): Oktober 2020; 951-956</source><source lang="id-ID">Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 4 No 5 (2020): Oktober 2020; 951-956</source><source>2580-0760</source><source>10.29207/resti.v4i5</source><language>eng</language><relation>http://jurnal.iaii.or.id/index.php/RESTI/article/view/2430/327</relation><rights lang="en-US">Copyright (c) 2020 Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)</rights><rights lang="en-US">https://creativecommons.org/licenses/by/4.0</rights><recordID>article-2430</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File Journal:Journal |
| author |
Miftahul Walid Hozairi Madukil Makruf |
| title |
Analysis and Development of Seawater Density Measurement Algorithms Using Arduino Uno and YL-69 Sensor |
| publisher |
Ikatan Ahli Informatika Indonesia (IAII) |
| publishDate |
2020 |
| topic |
Seawater Density Salt Production Microcontroller Arduino Uno YL-69 Seawater density Salt Production Process |
| url |
http://jurnal.iaii.or.id/index.php/RESTI/article/view/2430 http://jurnal.iaii.or.id/index.php/RESTI/article/view/2430/327 |
| contents |
In this research, an analysis was carried out to develop a measuring instrument for seawater density in salt production using a microcontroller (Arduino Uno) and YL-69 sensor, this sensor was commonly used to measure soil moisture. The experimental method was used in this research to produce initial data in the form of resistance and seawater density values, then calculations are carried out using statistical methods to find equations and produce a constant variable that connects the resistance and seawater density values. The equation was used to compile the algorithm into Arduino Uno. As for the results of this research, From six experiments conducted, two experiments produced the same sea water density value between the actual and the predicted, namely the 2nd and 5th experiments, while for other experiments there was a difference between the actual and predicted values, however, it was not too significant, the difference occurs between the value range 0 ~ 1, to determine the level of error, use the Mean Square Error (MSE) with an error level of = 0.5 and Mean Absolute Error (MAE) with an error level of = 0.6. The contribution of this research is an algorithm that can predict the density value (baume) based on the resistance value obtained from the YL 69 sensor. |
| id |
IOS4432.article-2430 |
| institution |
Ikatan Ahli Informatika Indonesia |
| institution_id |
1224 |
| institution_type |
library:special library |
| library |
Jurnal RESTI |
| library_id |
1078 |
| collection |
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| repository_id |
4432 |
| subject_area |
rekayasa sistem teknologi informasi software engineering information technologi |
| city |
KOTA PADANG |
| province |
SUMATERA BARAT |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS4432 |
| first_indexed |
2020-11-15T03:45:44Z |
| last_indexed |
2020-11-15T03:45:44Z |
| recordtype |
dc |
| _version_ |
1686127735700717568 |
| score |
17.20178 |