Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034262
L. Sumargana, M. Frederik, Sumirah, D. Nugroho
Ground Penetrating Radar (GPR) is one of the geophysical methods, which utilize electromagnetic (EM) wave transmitted the wave through an antenna and recorded by a receiver antenna. The result is a subsurface profile, called a radargram than inform the location and depth of the object or layers. To produce medium to high scale of peat depth, low-frequency Ground Penetrating Radar data acquisition was conducted at Burnai-Sibumbung River Peatland Hydrological Unit, Ogan Komering Ilir Regency. Result of processing GPR data shows with the distinct boundary between peat and clay layer. At the same time, GPR peat data acquisitions area calibrated by manual core measurement and have found velocity radar wave in peat is 0,0361 m/ns. The Result of processing all line GPR data, peat depth at this peatlands area vary from 1.0 to 9,7 meters, the lower area is the west and deeper to the northeast
{"title":"Ground Penetrating Radar Mapping of Peat Depth at Burnai-Sibumbung Rivers Peatland Hydrological Unit Ogan Komering Ilir Regency","authors":"L. Sumargana, M. Frederik, Sumirah, D. Nugroho","doi":"10.1109/AGERS48446.2019.9034262","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034262","url":null,"abstract":"Ground Penetrating Radar (GPR) is one of the geophysical methods, which utilize electromagnetic (EM) wave transmitted the wave through an antenna and recorded by a receiver antenna. The result is a subsurface profile, called a radargram than inform the location and depth of the object or layers. To produce medium to high scale of peat depth, low-frequency Ground Penetrating Radar data acquisition was conducted at Burnai-Sibumbung River Peatland Hydrological Unit, Ogan Komering Ilir Regency. Result of processing GPR data shows with the distinct boundary between peat and clay layer. At the same time, GPR peat data acquisitions area calibrated by manual core measurement and have found velocity radar wave in peat is 0,0361 m/ns. The Result of processing all line GPR data, peat depth at this peatlands area vary from 1.0 to 9,7 meters, the lower area is the west and deeper to the northeast","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130830184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034289
Afifuddin, A. Purwandani, Ruki Ardiyanto, L. Sumargana, M. Frederik
In 2015, Southern Sumatra region, particularly Ogan Komering Ilir (OKI) regency was stricken by massive fires in peatland and forest areas. Besides intentionally burned, climate change was also suspected as a cause of the wildfire. Increasing temperature, decreasing humidity, and low precipitation are several climate indicators that trigger forest and peatland wildfire. In order to review this presumption, the research needed to be conducted in Southern Sumatra area related to climate change until 30 years long period. So that the climate change can be detected from the climate indicator variabilities such as Temperature, Pressure, Total Precipitation, Relative Humidity, and Wind Speed.Climate parameter data in the long period was obtained from global atmospheric reanalysis data generated by ERA ECMWF (European Centre for Mid-Range Weather Forecast). The climate parameter data are available from 1979 to 2017. This research using three-hour interval climate parameter data. The trend analysis was conducted to observe the variability of every parameter using a linear regression method. The change of every climate parameter was spatially visualized to observe whether it had impacts on land and fire occurrences or not.From the analysis, it was found that all climate parameter was changing slightly per year. All climate parameters changed relatively small each year with increases in temperature 0.014 °C – 0.035°C/year and decreasing pressure 0.0138 – 0.0207 mbar/year. Relative humidity varies from decreasing 0.0311 to increasing 0.0458%/year. Wind speed also varies slightly from decreasing −0.0059 to increasing 0.0074 m/s/year. Their precipitation varies as well from decreasing 2.58 to increasing 5.15 mm/month. The alteration of these parameters indicates the climate change present slightly in southern Sumatra region, particularly in OKI regency, but does not affect land and forest fire occurrence.
{"title":"Is Land and Forest Fire in Ogan Komering Ilir, Southern Sumatera, Affected by Climate Change?","authors":"Afifuddin, A. Purwandani, Ruki Ardiyanto, L. Sumargana, M. Frederik","doi":"10.1109/AGERS48446.2019.9034289","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034289","url":null,"abstract":"In 2015, Southern Sumatra region, particularly Ogan Komering Ilir (OKI) regency was stricken by massive fires in peatland and forest areas. Besides intentionally burned, climate change was also suspected as a cause of the wildfire. Increasing temperature, decreasing humidity, and low precipitation are several climate indicators that trigger forest and peatland wildfire. In order to review this presumption, the research needed to be conducted in Southern Sumatra area related to climate change until 30 years long period. So that the climate change can be detected from the climate indicator variabilities such as Temperature, Pressure, Total Precipitation, Relative Humidity, and Wind Speed.Climate parameter data in the long period was obtained from global atmospheric reanalysis data generated by ERA ECMWF (European Centre for Mid-Range Weather Forecast). The climate parameter data are available from 1979 to 2017. This research using three-hour interval climate parameter data. The trend analysis was conducted to observe the variability of every parameter using a linear regression method. The change of every climate parameter was spatially visualized to observe whether it had impacts on land and fire occurrences or not.From the analysis, it was found that all climate parameter was changing slightly per year. All climate parameters changed relatively small each year with increases in temperature 0.014 °C – 0.035°C/year and decreasing pressure 0.0138 – 0.0207 mbar/year. Relative humidity varies from decreasing 0.0311 to increasing 0.0458%/year. Wind speed also varies slightly from decreasing −0.0059 to increasing 0.0074 m/s/year. Their precipitation varies as well from decreasing 2.58 to increasing 5.15 mm/month. The alteration of these parameters indicates the climate change present slightly in southern Sumatra region, particularly in OKI regency, but does not affect land and forest fire occurrence.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126113589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034267
M. Zaman, I. Kusuma, Alfius C Katilik, Semin, A. Santoso
Design of Dynamic Positioning System (DPS) on Supply Vessel model using a PID-based control is an automatic control system to maintain the position and heading of a vessel at a certain point and direction using propulsion system. The DPS component consists of a position and heading reference system using an ultrasonic sensor and gyro accelerometer sensor, a control system using Arduino microcontroller for processing PID-based data, propulsion system using 2 motor thrusters on the stern and bow of the vessel, and a power system using batteries. The control system control the output response of the propulsion system. The input of the control system is a value of the measured distance and angle from the reference system that will then be compared with the value of the setpoint (desired input). The value of the setpoint is varied based on the distance of the vessel from the rig model and the normal angle of the vessel by 00. The control system compares both input values, and the difference between the values is the error value. The Control system processes the data and sends PID-based commands to eliminate error values to the propulsion system. Testing was conducted to analyze the ship’s response to maintain the position and angle at a certain point, encompassing the Sway and Yaw movements by providing an external thrust force on the ship in the form of current. The result was that the vessel was able to represent the response by maintaining its position at a certain point and direction. Based on the test, the distance deviation rate (error) was 0.06 m on the bow, 0.03 m on the stern from the setpoint, and the average time response to reach the setpoint was 9 seconds. The average rotation of the motor varied. The lowest rotation was 358 rpm and the highest rotation was 416 rpm. The value of a PID coefficient based on Zieger Nichols method was Kp = 1.2, Ki = 0.2, Kd = 3.5.
{"title":"Design of Ship Model Dynamic Positioning System using PID-Based Microcontroller","authors":"M. Zaman, I. Kusuma, Alfius C Katilik, Semin, A. Santoso","doi":"10.1109/AGERS48446.2019.9034267","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034267","url":null,"abstract":"Design of Dynamic Positioning System (DPS) on Supply Vessel model using a PID-based control is an automatic control system to maintain the position and heading of a vessel at a certain point and direction using propulsion system. The DPS component consists of a position and heading reference system using an ultrasonic sensor and gyro accelerometer sensor, a control system using Arduino microcontroller for processing PID-based data, propulsion system using 2 motor thrusters on the stern and bow of the vessel, and a power system using batteries. The control system control the output response of the propulsion system. The input of the control system is a value of the measured distance and angle from the reference system that will then be compared with the value of the setpoint (desired input). The value of the setpoint is varied based on the distance of the vessel from the rig model and the normal angle of the vessel by 00. The control system compares both input values, and the difference between the values is the error value. The Control system processes the data and sends PID-based commands to eliminate error values to the propulsion system. Testing was conducted to analyze the ship’s response to maintain the position and angle at a certain point, encompassing the Sway and Yaw movements by providing an external thrust force on the ship in the form of current. The result was that the vessel was able to represent the response by maintaining its position at a certain point and direction. Based on the test, the distance deviation rate (error) was 0.06 m on the bow, 0.03 m on the stern from the setpoint, and the average time response to reach the setpoint was 9 seconds. The average rotation of the motor varied. The lowest rotation was 358 rpm and the highest rotation was 416 rpm. The value of a PID coefficient based on Zieger Nichols method was Kp = 1.2, Ki = 0.2, Kd = 3.5.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126009641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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