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All Journal International Journal of Applied Mathematics, Sciences, and Technology for National Defense Journal of Tecnologia Quantica
Kusumadjati, Adhi
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

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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
Ultrasonic sensor system for detection of the objects position in two-dimensional plane Kusumadjati, Adhi; Napitupulu, Jofim Yordaniel; Setiawan, Roni; Samosir, Andrew Imada; Cengiz, Korhan
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 1, No 1 (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.v1i1.168

Abstract

Ultrasonic sensors are usually used to measure the distance to the object in front of it. It can be used to measure object distances accurately at a detection angle of 15 degrees to the sensor's normal plane and can be carried out up to a maximum distance of 4 m. Three ultrasonic sensors arrange in a triangular configuration can be used to determine the position of objects within the detection area formed by the three sensors. The sensors are positioned and the coverage angle is limited so that detection between sensors in the formation does not overlap or interfere with each other. In addition, using the position data for each unit of time, it is possible to find out the direction of movement of the object. Based on the above concepts, microcontrollers, data acquisition systems, and data processing systems can be used to measure the position and orientation of an object's movement in real time.
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.
Power and performance analysis of UUV motor systems with torpedo capabilities using to support the indonesian navy's maritime operations Aldhiantoro, Gustav Irgi; Pinardi, Kuntjoro; Kusumadjati, Adhi; Putri Abdul, Annisa Mutiara; Dewi, Dinda Rahma; Baarik, Moh. Hisni Alfan; Palupi, Endah Kinarya
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 3, No 1 (2025): 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.v3i1.651

Abstract

Unmanned Underwater Vehicles (UUVs) play a crucial role in modern naval operations, particularly in Intelligence, Surveillance, and Reconnaissance (ISR) and Anti-Submarine Warfare (ASW). Their stealth and long-range capabilities provide strategic advantages, yet extended missions pose significant challenges due to power limitations. This study proposes a novel approach to predicting and managing UUV battery capacity for missions lasting up to 30 days. Utilizing OpenModelica, we simulate various operational scenarios by modeling the Direct Current Permanent Magnet (DCPM) motor and its interaction with propulsion systems under different mission profiles including patrol, standby, and attack phases to estimate power consumption and optimize endurance. The results demonstrate key strategies for enhancing UUV autonomy and operational flexibility through advanced power management. These findings contribute to the development of more efficient UUV systems capable of prolonged underwater missions with minimal recharging.
Preliminary study of dynamic modeling based on quaternion analysis for tricopter drone Alam, Agya Sewara; Kusumadjati, Adhi; Oktaviana, Aditya Tri
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..v2i3.530

Abstract

Recently drone was used in many aspects, especially on military operation. Drone type three rotor, namely tricopter, was used for surveillance with stability motion needed too well operating. This study examines the dynamical aspects of a tricopter. A quaternion-based transformation method is developed to transition between reference coordinate systems. It forms a mathematical foundation for modeling tricopter dynamics. The quaternion formulation used as a mathematical tool to obtain equation of motion in translational and rotational. The result show that the derived equations provide a quaternion-based framework for modeling the tricopter's motion, enabling singularity-free transformations and accurate translational and rotational dynamics for real-time flight control and stability. These models form the basis for advanced navigation systems, offering precise trajectory planning and attitude control. Further research should focus on advanced control strategies, aerodynamic effects, and experimental validation to optimize tricopter’s performance.
Cadmium telluride (CdTe) thin-film photovoltaics: A sustainable energy solution to support national energy resilience Abdul, Annisa Mutiara Putri; Kusumadjati, Adhi; Aldhiantoro, Gustav Irgi; Dewi, Dinda Rahma; Baarik, Moh. Hisni Alfan; Anghel, Cornelia Victoria
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 3, No 2 (2025): 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.v3i2.831

Abstract

Cadmium Telluride (CdTe) is one of the most promising materials in thin-film solar cell technology; however, its application faces challenges related to efficiency limitations and environmental risks. This study aims to evaluate the performance characteristics, environmental impact, and sustainability potential of CdTe in Solar Power Plant, known in Indonesia as Pembangkit Listrik Tenaga Surya (PLTS) applications. A systematic literature review was conducted, analyzing more than 40 scientific articles and industrial reports published over the last 15 years, covering efficiency, material availability, recycling strategies, and lifecycle assessments. The results indicate that commercial CdTe modules achieve efficiencies between 7–10%, while laboratory devices exceed 22%. CdTe demonstrates superior performance under high temperatures and low-light conditions, but concerns remain regarding cadmium toxicity and the limited availability of tellurium. The study concludes that CdTe holds significant potential as a cost-effective and efficient solar technology, provided that robust recycling systems and responsible material sourcing practices are implemented.
Quantum Imaging for Medical and Industrial Applications Mutmainnah, Mutmainnah; Fahmi, Khazali; Pratiwi, Raditya Faradina; Kusumadjati, Adhi
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1696

Abstract

Quantum imaging is a quantum principle-based imaging technology that shows great potential in medical and industrial applications. This study was conducted to evaluate the advantages of quantum imaging compared to conventional technology in terms of energy efficiency, image resolution, and detection accuracy. The research design uses an experimental approach with testing on biological networks for medical applications and metal materials for industrial applications. The data was quantitatively analyzed to measure energy efficiency, resolution, and accuracy and compared with the results of conventional technologies. The results show that quantum imaging is able to improve energy efficiency by up to 35%, produce an image resolution of 200 nm, and achieve a detection accuracy of 95% in medical applications and 92% in industrial applications. In medical applications, this technology enables early diagnosis of diseases through the detection of molecular changes, while in industrial applications, it is capable of detecting microcracks that are difficult to see. This advantage shows that quantum imaging can be an innovative solution for modern imaging needs. The conclusion of this study is that quantum imaging has the potential to replace conventional imaging technology with advantages in efficiency, resolution, and accuracy. Further research is needed to overcome the limitations of large-scale implementation of this technology and develop more practical devices.
Co-Authors Abdul, Annisa Mutiara Putri Alam, Agya Sewara Aldhiantoro, Gustav Irgi Alwan, Mochamad Ibnu Anghel, Cornelia Victoria Baarik, Moh. Hisni Alfan Blanchard, Ramandasoavina Cengiz, Korhan Dahlan, Iqbal Ahmad Dewi, Dinda Rahma Hirawan, Agung Khazali Fahmi Murniati, Riri Mutmainnah Mutmainnah Napitupulu, Jofim Yordaniel Oktaviana, Aditya Tri Palupi, Endah Kinarya Parwatiningtyas, Diyan Pinardi, Kuntjoro Pratiwi, Raditya Faradina Putri Abdul, Annisa Mutiara Renoult, Muhammad Rey Rony, Zahara Tussoleha Samosir, Andrew Imada Wardoyo, Sony