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A development of high sensitivity magnetic sensor based on giant magnetoresistance with simple implementation on smartphone Kusumadjati, Adhi; Wardoyo, Sony; Hirawan, Agung; Alwan, Mochamad Ibnu; Blanchard, Ramandasoavina
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 1, No 3 (2023): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v1i3.280

Abstract

In this paper, the magnetic field-based sensor that can connect with smartphones through Bluetooth connectivity was developed. The design of this high sensitivity magnetic sensor system used Giant Magnetoresistance (GMR) sensors in the form of SOIC8 with AA002-02 series from NVE Corp. The results obtained from the measurements show that the sensor is able to work well when connected to an Android-based smartphone. Measurements were carried out by placing a magnet with a magnetic field strength of 0.4 T in the direction of the sensitivity plane of the GMR sensor. The result showed that the closer the magnet distance relative to the GMR sensor the more voltage signal output from the sensor. Since this developed method is simple but effective for detecting position of magnetic object, the further development of this method will be benefit for many applications.
Simulation of calculation of combat vehicle fuel efficiency by reducing vehicle weight using aluminum material Napitupulu, Jofim Yordaniel; Murniati, Riri; Kusumadjati, Adhi; Hirawan, Agung; Alwan, Mochamad Ibnu; Blanchard, Ramandasoavina
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 1 (2024): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v2i1.336

Abstract

In the contemporary landscape, combat vehicles are tasked with meeting multifaceted demands, ranging from fortified defense capabilities to enhanced operational versatility and lethal efficacy. At the crux of these requirements lies the pivotal challenge of managing vehicular weight, a parameter that profoundly impacts endurance, agility, and speed. Extensive research endeavors have shed light on aluminum as a compelling solution to mitigate this weight burden while ensuring the requisite durability in combat vehicles. Through the utilization of MATLAB simulations, this study endeavors to elucidate the correlation between mass reduction and fuel efficiency, culminating in the creation of a comparative graph. The findings of this research make a significant contribution by demonstrating that a 15 percent reduction in vehicle mass, equivalent to 324 kilograms through the substitution of conventional materials with aluminum, yields substantial fuel savings amounting to 13.36 percent, or 1.3 liters. Such insights underscore the pivotal role of material selection in optimizing fuel efficiency in combat vehicle design
Microcontroller-Based Model Design of Automatic Center of Gravity and Ballast Measurements for MK Bomb Series Piliang, Zuhnir; Lazuardi, Rudi; Hirawan, Agung
Journal of Technomaterial Physics Vol. 7 No. 1 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i1.19362

Abstract

The determination of center of gravity (CG) of Mark 80 series bomb is crucial before being released from fighter-aircraft to reduce or eliminate bomb-pitching; thus, improving target accuracy. Current CG measurement in the service remains conventional, takes a long time, so the determination of ballast is guesswork, and the equipment used is not integrated. Therefore, this study aims to design a model of a microcontroller-based CG and ballast measuring instrument. This tool model uses two load cell sensors (as scales) to measure the weight of the bomb and two ultrasonic sensors to measure the distance between scales. The interface is LCD as digital output, keypad as ballast control and Arduino mega. The experimental method in this study employed test objects in the form of miniature MK 81 bombs and bomb-like test objects with known CG. A total of 6 types of tests obtained a tool accuracy rate of 99.2% with an accuracy of 2 mm. Given the efficiency and accuracy of the measurement, this model of CG and ballast measuring instrument can be a smart solution for military agencies to be used as an effective CG measuring tool for MK 80 bombs.
Anti-kyphosis smart bag detection of overweight bag load and improper spinal posture in army members when using work bags Hirawan, Agung; Renoult, Muhammad Rey; Parwatiningtyas, Diyan; Dahlan, Iqbal Ahmad; Kusumadjati, Adhi; Napitupulu, Jofim Yordaniel
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 3 (2024): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def..v2i3.410

Abstract

Heavy field equipment owned by soldiers such as backpacks unknowingly makes soldiers move with the wrong body posture when in the field. Carrying a bag with a heavy load and the wrong posture (slouching), can cause abnormalities in the spine, such as slouching (kyphosis). Therefore, a posture therapy is needed with the method of habituation using a work bag with a load not exceeding 15 percent of the user's body weight and using it with the correct posture. This therapy / habituation is of course carried out outside of field training hours that do not ignore the use of heavy loads, for example in the office or anywhere else when carrying a bag. Seeing this, researchers are trying to create and develop an anti-kyphosis smart bag that can prevent and treat spinal deformities. After making the system, this smart bag was then tested quantitatively with the aim of seeing the qualification of the system's ability to detect excess bag weight, if the weight of the bag exceeds 15 percent of the user's body weight and the ability of the system to detect improper posture seen from the sensitivity level of the load cell sensor based on its placement position in the back area. The test was conducted on three respondents who were selected based on their height, namely 170 cm, 175 cm, and 182cm. The system calibration results show that the system works accurately, with a measuring error of 0% and effective sensor placement between the thoracic kyphosis and lumbar lordosis areas of the back, with the ability to detect a bend angle of at least 24.7°. Seeing the effectiveness of this anti-kyphosis smart bag, it is hoped that it can be a smart solution for TNI members in maintaining spinal posture to avoid kyphosis due to the habit of carrying excessive loads with the wrong body posture.