ISSN / EISSN : 2685-2381 / 2715-2626
Published by: Institut Teknologi Dirgantara Adisutjipto (10.28989)
Total articles ≅ 37
Latest articles in this journal
AVITEC, Volume 3, pp 139-148; https://doi.org/10.28989/avitec.v3i2.926
The characteristics of Fiber Bragg Grating (FBG) related to change of reflection power and wavelength shift in the fiber optic due to changes in temperature. Furthermore, the refractive index alo affects the sensitivity of FBG. Using the Coupled-mode theory, the derivation of mathematical formula can be found to justify the effect of temperature in FBG. Also, the Coupled-mode theory is integrated numerically by the Transfer Matrix method to achieve the final equation of the effect of temperature in FBG. To obtain optimal results, several different parameter values are given to be analyzed. The results show that the temperatures are affecting the wavelength but have no effect on the peak of reflection power. In addition, by increasing the temperature and value of the refractive index will affect the enhancement of the sensitivity of FBG. These characteristics are a good opportunity to produce filters, sensors, or other applications by utilizing the characteristics of temperature in FBG.
AVITEC, Volume 3, pp 149-156; https://doi.org/10.28989/avitec.v3i2.1060
This article discusses about longitudinal equation for the three dimensional rocket motion of RKX-Lapan. The RKX-Lapan’s rocket is guided rocket which was designed using two phases, boosting and sustaining. The rocket has six degrees of freedom movement. The freedom movements consists of three translational motions and three rotational motions which causess unstable rocket movement. Therefore, stable rocket motion system is needed. The rocket motion system is three dimensional of nonlinear equation, thus linearization process of rocket motion equation is requaired. One of this linearization process is longitudinal motion which consists of two translational motions and one rotational motion. The equation of longitudinal motion has stabilization system analysist on sustaining phase. Bifurcation analysis of longitudinal equation for the three dimensional rocket motion of RKX-Lapan has been created in this article. It determined equilibria and its equation stability character. Furthermore, bifurcation analysist on equilibria and numerical simulation have been done to find out that bifurcation value indicated a topologically nonequivalent.
AVITEC, Volume 3, pp 157-166; https://doi.org/10.28989/avitec.v3i2.1043
Repeater strongly supports the use of radio communication equipment for communication. The location of the repeater is usually at a high altitude so that the repeater's radio wave beam is not blocked by anything. The repeater arrangement is done by going directly to the repeater location so it is very inefficient from the time and accommodation factor. Therefore, a study was conducted to control the radio repeater settings remotely in order to reduce the accommodation of repeater control by visiting the radio repeater location. Control of radio repeater settings uses DTMF (Dual Tone Multi-Frequency) technology which sends DTMF signals and then converts them to binary data to be processed into data that is used for repeater control such as turning on and off the radio, setting high and low power, and adjusting channels on the repeater. the radio repeater. This system is also equipped with sending notifications in the form of SMS of the repeater operational conditions or settings. The research resulted in a remote control system based on DTMF technology equipped with a GSM/GPRS SIM800L module which is used to connect a smartphone to the system and send repeater operational notifications after controlling the repeater setting function. By using Telkomsel provider, the resulting delay when sending orders is 0.5 seconds and the delay in receiving SMS notifications is 12.96 seconds. Meanwhile, using Indosat provider, the resulting delay when sending commands is 0.43 seconds and the delay in receiving SMS notifications is 10.57 seconds.
AVITEC, Volume 3; https://doi.org/10.28989/avitec.v3i2.977
Asphalt hot mix manufacture consists of mixer and weighing which is a part of the mixing process which is controlled automatically using PLC at the asphalt mixing plant SPECO TSAP-800AS. All processes in the asphalt mixing plant have used computer-based electromechanical automation, especially the application of PLC control on the Mixer and Weighing section, considering that the mixing process must always be stable and run continuously so it must be controlled automatically using a combination of relays and air dampers. The scale sensor used is a load cell which functions to calculate the weight of solid material from hot bin CB1/1 to CB1/5. The mixer used has a capacity of 800 kilogram per batch. The design of controlling the manufacture of asphalt hot mix at the asphalt mixing plant TSAP-800AS was made using Outseal Studio V2.2 software.
AVITEC, Volume 3; https://doi.org/10.28989/avitec.v3i2.890
In an unmanned aircraft vehicle, a navigation system is needed to calculate its orientation and translation. The navigation system can utilize data from the accelerometer, gyroscope, magnetometer, and GPS. The orientation can be precisely calculated from the accelerometer and magnetometer data when the sensor is in a static state. Meanwhile, under dynamic conditions, the orientation can be more precisely calculated from the gyroscope data. In order to obtain the robust navigation system, a data fusion based on Kalman filter is built to calculate the orientation from the accelerometer, gyroscope, and magnetometer. The Kalman filter trusts more in the data from the accelerometer and magnetometer when the UAV is static and trusts more in to the gyroscope data when the UAV is in dynamic conditions. Meanwhile, the UAV translation is obtained by performing data fusion of the accelerometer data with location data from the GPS sensor. The Kalman filter combines data from the accelerometer and GPS when available, otherwise trusts in data from the accelerometer only. The trust level shifting is done by changing the measurement noise covariance. The data fusion based on Kalman filter provides more accurately the orientation and translation data. The orientation as a result of the calculation from the gyroscope has an average error of 18.12%, while the orientation as a result of the accelerometer and magnetometer has an error of 1.3%. By using Kalman filter-based data fusion, the error of the orientation decreases to 0.87%
AVITEC, Volume 3, pp 131-138; https://doi.org/10.28989/avitec.v3i2.1027
A starter generator (DC generator) is a DC machine that acts as a motor when starting the engine and will become a DC generator when it reaches a certain speed. The DC Starter Generator will function as a starter mode when the speed is 61.5%. There are several types of starter generators on ATR aircraft: 8260-121, 8260-123, and 8260-124. The uses and functions of the three types are the same, but the maintenance schedule intervals are different. Therefore, the purpose of this study was to determine the planned maintenance intervals (brush change, bearing change, and overhaul) and the causes of differences in maintenance intervals for the starter generator. The type of research used is comparative research, where this research compares several parameters related to the planned maintenance of the Starter Generator, which will be operated within 10,000 FH. The results of the treatment intervals obtained are that types 8260-121 and 8260-123 each will require 16 times maintenance, while types 8260-124 only need 8 times maintenance. The difference in the number of treatments being less in the 8260-124 type is due to the modification of the brush. In addition, the type 8260-124 has also used a new technology commutator. Therefore, this type is superior to the other two because it can save operational aircraft costs.
AVITEC, Volume 3; https://doi.org/10.28989/avitec.v3i2.910
The growth of air transportation and technological developments is getting faster every year. This causes airport services to exceed the ability to provide facilities to meet growth adequately. In this case, it cannot be denied that there are always undesirable things that happen unexpectedly such as airplane accidents which are not only always in the air when flying, there are also many cases of plane accidents at the ground whether it's at the landing or parking process. Therefore, a Visual Docking Guidance System (VDGS) tool was designed using the TF Mini LiDAR sensor and programmed for the aircraft parking system at the airport to identify and guide pilots to find the right position when parking. This tool is able to give guidance information on the aircraft position. A <<<< sign that is, the plane must move to the left, the >>>> sign, the plane must move to the right and the // \\ sign as an indicator the aircraft is in the middle position of parking stand. The results showed that the Visual Docking Guidance System (VDGS) using the LiDAR sensor with a distance specification of 10m is a fairly good level of accuracy and the error obtained from testing the distance measurement tool and actual distance has an error of 0-0,7368% with an average error of 0.0972%.
AVITEC, Volume 3; https://doi.org/10.28989/avitec.v3i1.884
Peak Flow Meter (PFM) is a tool to measure the amount of air flow in the airway (PFR) and to detect asthma. The output value of PFR can be influenced by several factors, such as age, respiratory muscle strength, height and gender. In this research, airway measurements are used to measure the condition of patients suffering from asthma. The author aims to make this tool so that it can find out how to design and make a peak flow meter output sound tool, measure the peak current and can know how the MPXV7002DP sensor works in regulating output in the form of sound. The method used by the author is to design or make a tool peak flow meter output sound. This MPXV7002DP sensor works when the sensor receives air blows from the flow sensor which automatically reads the highest air pressure from the breath. The test results using the VT Mobile Medical Gas Flow Analyzer prove that the largest percentage error is 2.4%, with the blowing rate on the Peak Flow Meter is 64.0 lpm and the blowing rate on VT mobile is 62.50 lpm. Therefore, this tool can be said to be very certain to detect asthma. Then it can be concluded that the peak flow meter is feasible and meets the specified requirements.Peak Flow Meter (PFM) is a tool to measure the amount of air flow in the airway (PFR) and to detect asthma. The value of PFR can be influenced by several factors such as age, respiratory muscle strength, height and gender. Airway measurements are used to measure the condition of patients suffering from asthma. The author aims to make this tool so that it can find out how to design and make a peak flow meter output sound tool, measure the peak current and can know how the MPXV7002DP sensor works in regulating output in the form of sound. The method used by the author is to design or make a tool peak flow meter output sound. This MPXV7002DP sensor works when the sensor receives air blows from the flow sensor which automatically reads the highest air pressure from the breath. The test results using the VT Mobile Medical Gas Flow Analyzer prove that the largest percentage error is 2.4%, with the blowing rate on the Peak Flow Meter is 64.0 lpm and the blowing rate on VT mobile is 62.50 lpm, so this tool can be said to be very certain to detect asthma. Then it can be concluded that the peak flow meter is feasible and meets the specified requirements.
AVITEC, Volume 3; https://doi.org/10.28989/avitec.v3i1.909
Rotation angle estimates are often required and applied to the dynamics of spacecraft, UAVs, robots, underwater vehicles, and other systems before control. IMU is an electronic module that is used as an angle estimation tool but has noise that can reduce the accuracy of the estimation. This study aims to develop an estimation model for the angle of rotation of a rigid body based on the IMU-gyroscope sensor on a smartphone using a Kalman filter. The estimation model is developed in a simple dynamic equation of motion in state-space. Kalman filters are designed based on system dynamics models to reduce noise in sensor data and improve measurement estimation results. Simulations are carried out with software to investigate the accuracy of the developed estimation algorithm. Experiments were carried out on several smartphone rotations during the roll, pitch, and yaw. Then, the experimental data obtained is analyzed for accuracy by comparing the built-in algorithms on smartphones. Based on the experimental results, the accuracy rate of estimation angle is 94% before going through the Kalman filter and an accuracy level of above 98% after going through the Kalman filter for every rotation on the x-axis, y-axis, and z-axis.
AVITEC, Volume 3; https://doi.org/10.28989/avitec.v3i1.893
The work to get data directly from the field for optimizing a network is called drive test. The implementation of drive test by directly down to the field has several obstacles, such as the condition of the terrain is insufficient and risky to be passed by car. Barriers such as traffic congestion, risky environmental conditions and narrow road areas between buildings makes the implementation of drive test by using unmanned aerial vehicle (UAV) or known by drone. In this research, drive test is carried out on 4G LTE Network and uses an Android smartphone that has the G-NetTrack application installed. The Data parameters of the drive Test and QoS are searched. there are Reference Signal Receive Power (RSRP), Reference Signal Receiving Quality (RSRQ), Signal to Noise Ratio (SNR), delay and throughput. This research compares two methods, which are drive test with normal condition and drive test by using a UAV. The result of the drive test with normal condition is obtained an average value of RSRP -90.32 dBm, RSRQ -9.58 dB and SNR 3.99 dB. Whereas in the drive test by using UAV is obtained an average value RSRP -90.8 dBm, RSRQ 9.32 dB and SNR 4.77 dB. The results of this research showed that all parameters in comparison of both methods has meet the standard of Key Performance Indicator (KPI) with small value difference because drive test by using UAV is equals with normal drive test that is to know the real condition of obstacle in field.