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Muhamad Syazali
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Foundation of Advanced Education (FoundAE) Jl. Pramuka Gg. Darfa LK. II, Kel. Langkapura, Kec. Langkapura, Kota Bandar Lampung.
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International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Published by Foundation of Advanced Education
ISSN : 29860776     EISSN : 29859352     DOI : https://doi.org/10.58524/app.sci.def
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics
International Journal of Applied Mathematics, Sciences, and Technology for National Defense (App.Sci.Def) [e-ISSN: 2985-9352, p_ISSN: 2986-0776] is a journal published by the Foundation of Advanced Education. International Journal of Applied Mathematics, Sciences and Technology for National Defense (App.Sci.Def) is an Applied Mathematics, Science, and Technology in National Defense is an international journal dedicated to the publication of high quality, peer-reviewed articles on all aspects of mathematics in defense, complex strategy, modeling, optimization, cybersecurity, and special issues on topics of current interest. The scope of the journal is very broad and interdisciplinary with an integrated, qualitative and quantitative approach. Review papers with insightful, integrative, applicable and up-to-date major topic progress are also welcome. Authors are invited to submit defense-related articles that have not been previously published and are not being considered elsewhere. In addition, the App.Sci.Def editorial board is strongly committed to promoting current advances and interdisciplinary research in defense mathematics, Science, and Technology.
Arjuna Subject : Umum - Umum
Articles 40 Documents
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Insights into latent tuberculosis biomarkers from differential gene expression analysis in CD8 memory cells using secondary data Insilico approach Atmadi, Atmadi; Rahayu, Tiara; Wardani, Indah Kusuma; Elsadi, Reihana Marsha Cahyani; Milasari, Azizah Eka; Witadi, M. Ridwan Amarullah
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..v2i3.362

Abstract

Tuberculosis (TB) remains a global health challenge, significantly impacting infectious disease mortality and morbidity. In the quest for effective diagnostic tools and precise treatment strategies, differential gene expression (DEG)-based biomarkers offer a promising avenue. These biomarkers provide specific insights into disease states and treatment responses by deciphering gene alterations within body cells. In this study, we aimed to identify immunological signatures associated with latent Mycobacterium tuberculosis infection in memory T cells. Leveraging transcriptomic analysis, we examined memory CD8 T cells from individuals with latent TB (NCBI-GEO GSM2643205) and healthy controls (NCBI-GEO GSM2643198). Our findings highlight candidate biomarker genes—LDB1, ZNF121, and STAT6—whose differential expression could significantly enhance our understanding of CD8 T cell genetic regulation during latent TB infection. These results hold promise for the development of more accurate biomarkers for diagnosing latent tuberculosis.
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.
Rice distribution optimization using initial basic feasible and modified solution to increase food security in West Java Putrandi, Fachri Al Aziz; Mollie, Divacha Vicha; Atmadi, Atmadi; Sembiring, Julio Rivaldo; Fakhar, Abdul
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.v3i1.434

Abstract

Rice is one of the main commodities needed by more than 95% of developing countries, including Indonesia. High population growth that is not accompanied by sufficient rice production will lead to many problems such as malnutrition, famine, and economic crisis, so the availability of rice in Indonesia is the main focus in food security. Farmer welfare is one of the factors in increasing rice production. But in reality, farmers are often constrained by the high cost of distributing rice.  As one of the largest rice producing regions in Indonesia, optimisation of rice distribution costs in West Java needs to be done. the process of optimising rice distribution costs can be done using the transportation method. The transportation method is carried out in 2 stages, namely obtaining the initial solution and the optimal solution. Initial Basic Feasible Solution (IBFS) as one of the approaches in obtaining the initial solution works by considering the average value of new unit costs and columns. As for obtaining the optimal solution, MODI is used, which calculates the opportunity cost of cells that are not given a distribution allocation to assess the optimality of the table. Optimisation of rice distribution using IBFS and MODI resulted in an initial solution of Rp 27,259,921600 and an optimal solution of Rp 27,259,921600 with the Bandung area as the area that supplies the most rice in West Java.
The conceptual model to improve failure risk management water distribution system using ordinary differential equation model to support water resilience in military residential facilities Al Husein, Fulkan Kafilah; Syazali, Muhamad; Saidat, Suhaila; Irsalinda, Nursyiva; Farid, Fajri
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..v2i3.341

Abstract

Water resilience is still big problem in Indonesia.  In border and underdeveloped areas in Indonesia, the use of water sources is still considered not resilience. Especially in military context, where water needs are bigger and also more fundamental, this water resilience problem demanding a comprehensive solution. To address this issue, this research proposes the use of ordinary differential equations as a mathematical tool to model the dynamics of system damage over time, consumption, maintenance scheme, water crisis scheme, and other factors affecting water distribution resilience in military facilities. This journal presents a conceptual model of failure risk management water distribution system using a differential equation model approach to support water resilience. Specifically, the derivation of failure equation in the “reliability and maintenance system technical” textbook will be the basic reference for generating mathematical model. It is used because our model will be focused in improving failure risk management. By using the model, there are a lot of problem will be tackled such as Identify and manage failure risks in the water supply system, design an efficient water distribution maintenance scheme, and predict how strong the system to face water crisis. But before the model applied, the prediction of model will be tested by applying it in form of computer program. The case study of this research will be focused in testing the model in form of computer program with some simplicity and assumption. Through this approach, it is expected to find solutions that improve water usage efficiency, support the well-being of military personnel, and contribute to national water resilience to bolster national defense especially in case of water crisis happened. This research holds significant benefits for scientific advancement by providing a conceptual model that can serve as a reference for future research. It has the potential to make a tangible contribution but also still need so much development especially for application in real data, adding others variables that can be included for next research, conducting the interpretation, and better defining the measurement boundaries.
Vision stick: An intelligent assistive device to support soldier mobility in visually impaired conditions K, Muthumanickam; V, Logeshwaran; B, Sanjay; I, Simon Marshal
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.v3i2.662

Abstract

The Vision Stick is an innovative assistive device designed to enhance the mobility and independence of visually impaired individuals by integrating AI-powered vision models and ultrasonic sensors into a traditional white cane. Visually impaired individuals face significant challenges in navigating their surroundings, often relying on conventional mobility aids that lack advanced environmental awareness. To address this, the Vision Stick operates in two modes: an online AI vision mode and an offline ultrasonic mode. In online mode, a camera and AI algorithms analyze the surroundings, providing real-time voice descriptions of obstacles, landmarks, and hazards, improving navigation and safety. In offline mode, an ultrasonic sensor detects nearby objects and provides audio feedback, ensuring uninterrupted guidance without internet access. The device retains the familiar structure of a white cane while incorporating lightweight embedded components for ease of use. By combining AI-driven environmental awareness with ultrasonic obstacle detection, the Vision Stick enhances safety, confidence, and autonomy for visually impaired individuals in diverse environments.
Single nucleotide polymorphism analysis of the peroxisome proliferator-activated receptor gamma gene in type 2 diabetes mellitus patients at Ministry of Defense Hospital, RSPPN Soedirman Jakarta Sakdiyyah, Luluk; Hadi, Apip; Maladan, Yustinus; Tuba, Syahrul
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.v3i2.830

Abstract

Type 2 diabetes mellitus is a metabolic disorder influenced by genetic and environmental factors. The Peroxisome Proliferator-Activated Receptor Gamma gene is known to play a role in T2DM pathogenesis, but its polymorphism profile in Indonesian patients remains poorly characterized. This study aimed to analyze single nucleotide polymorphisms in the PPAR-γ gene of T2DM patients at Rumah Sakit Pusat Pertahanan Negara (RSPPN) Soedirman Jakarta using adaptive sampling with nanopore sequencing. Eighteen DNA samples that passed quality control were analyzed using UGENE v52.1. A total of 26 SNPs were identified in 8 subjects, including C161T, which has a reported protective effect in T2DM. The clinical significance of the remaining SNPs remains unclear. This study provides initial insights into genetic variation in T2DM, which may contribute to personalized medical strategies for military personnel and support the development of a more resilient national defense health system by improving disease prevention and management in high-risk populations.
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.
Cybersecurity and AI as enablers of economic resilience: A framework for sustainable growth in developing countries Ahmed, Ali Siraj; Budiarto, Rahmat
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.v3i2.857

Abstract

Digital transformation offers unprecedented opportunities for sustainable economic growth in developing countries. However, these benefits are accompanied by increased cybersecurity risks and challenges in integrating emerging technologies like artificial intelligence (AI). This paper proposes a conceptual framework that positions cybersecurity and AI as dual enablers of economic resilience aligned with Sustainable Development Goal 8 (SDG 8). The framework comprises three interconnected pillars: cybersecurity infrastructure, AI-driven economic transformation, and AI-enhanced cybersecurity mechanisms. A case study of Sudan illustrates how tailored interventions can foster secure, inclusive, and resilient digital economies in low- and middle-income contexts. The study highlights the importance of ethical governance, multi-stakeholder collaboration, and capacity building to maximize the benefits of AI while mitigating risks. Future research directions include empirical validation and policy experimentation to refine the framework and accelerate digital-led economic resilience in the Global South.
Shielding innovation for health security: A PHITS-based optimization of Portland material for proton therapy Suyanto, Damar Adhiwidya; Oktaviana, Aditya Tri; Syväjärvi, Mikael; Sardjono, Yohannes; Wijaya, Gede Sustresna; Triatmoko, Isman Mulyadi
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.v3i2.841

Abstract

Proton therapy is an advanced treatment method for cancer that uses protons to irradiate tumors with high precision. However, the high energy of protons requires effective shielding to protect the surrounding environment and personnel from radiation exposure. In this research, the radiation shielding performance of Portland material was evaluated using the PHITS version 3.351 simulation software. The study focuses on assessing the attenuation of radiation within the cyclotron room under various operational conditions. The effectiveness of radiation shielding made from Portland material in a 230 MeV, 300 NA cyclotron room for a proton therapy facility was investigated. The results from PHITS simulations provide insights into the potential of Portland material in reducing radiation levels in proton therapy rooms, contributing to the safety and efficiency of such facilities. This analysis is essential for optimizing shielding design and ensuring compliance with safety regulations in proton therapy facilities.

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