International Journal of Applied Mathematics, Sciences, and Technology for National Defense
type: channel
description: International Journal of Applied Mathematics, Sciences, and Technology for National Defense [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 is an independent, interdisciplinary and international journal which is mainly concerned with the National Defense, Security, and Resilience issues cover both military and non-military domains. App.Sci.Def. aims to bridge the gap between theoretical and practical development, thereby contributing to the academic and practitioner communities. Authors are invited to submit articles that have not been previously published and are not being considered elsewhere. We are grateful for the support and constributions from researchers and scholars that allow us to continue sharing valuable knowledge.
publisher: FoundAE
language: en
publication name: International Journal of Applied Mathematics, Sciences, and Technology for National Defense
issn: 2986-0776
items: Towards a standard framework for cybersecurity readiness for Nigerian universities
items: Shielding innovation for health security: A PHITS-based optimization of Portland material for proton therapy
items: Cybersecurity and AI as enablers of economic resilience: A framework for sustainable growth in developing countries
items: 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
items: Vision stick: An intelligent assistive device to support soldier mobility in visually impaired conditions
items: Cadmium telluride (CdTe) thin-film photovoltaics: A sustainable energy solution to support national energy resilience
items: Evaluating multiple time series models for consumer price index forecasting to support national defense decision-making
items: Power and performance analysis of UUV motor systems with torpedo capabilities using to support the indonesian navy's maritime operations
items: Zero trust framework for protecting federal networks and cloud services
items: Enhancing digital resilience through GEN-AI driven video content moderation and copyright protection
items: Bibliometrix research of noise removal techniques in digital images for defense
items: Rice distribution optimization using initial basic feasible and modified solution to increase food security in West Java
items: Preliminary study of dynamic modeling based on quaternion analysis for tricopter drone
items: Anti-kyphosis smart bag detection of overweight bag load and improper spinal posture in army members when using work bags
items: Unmanned aerial vehicle classification and detection system based on deep learning, internet of military things, and PID control system
items: The conceptual model to improve failure risk management water distribution system using ordinary differential equation model to support water resilience in military residential facilities
items: Insights into latent tuberculosis biomarkers from differential gene expression analysis in CD8 memory cells using secondary data Insilico approach
items: Specific function of vitamin D in bone
items: The effect of refugia on prey-predator model with parasite infection
items: Modeling suspected malaria cases in Papua province with second order Besag-York-Mollie 2 spatial regression
items: Clinical cases of paronychia infection: A narrative review
items: Prototype smart integrated fire detection based on deep learning YOLO v8 and IoT (internet of things) to improve early fire detection
items: Linear mixed model approach: The effect of poor people & unemployment rate on various types of crime in 34 provinces in Indonesia
items: Simulation of calculation of combat vehicle fuel efficiency by reducing vehicle weight using aluminum material
items: Identification of Mineral Zircon (ZrSiO4) Rare Earth Metal (REM) As Smart Material For Electric Tactical Motor Bike Battery
items: Using 3D design technology and a combination of carbon fiber and 16% HGM epoxy resin, female troops are wearing bulletproof vests
items: Times series data analysis: The Holt-Winters model for rainfall prediction In West Java
items: Approximation of BPS Skyrme model using modified Lagrangian Skyrmion
items: A review of polymer composite materials in bulletproof vest to defense sector
items: A development of high sensitivity magnetic sensor based on giant magnetoresistance with simple implementation on smartphone

Towards a standard framework for cybersecurity readiness for Nigerian universities
type: item
description: niversities rely substantially on digital infrastructure and host vast amounts of data that are of interest to malicious actors. Thus, they are vulnerable to cyber-attacks, making their protection a significant issue. While technology continues to improve, educational system infrastructures and system security lag behind. However, to ensure the continuous availability of university digital assets, the infrastructure must be prepared to withstand cyber-attacks. The results of research indicate that several models exist for evaluating the readiness of universities for cybersecurity. These models have been established for developed nations with more sophisticated and mature cyber networks, and may not be directly applicable to developing economies like Nigeria. Therefore, the Design Science Research strategy was adapted to develop a framework for assessing cybersecurity readiness in Nigerian universities. Taking into account pre-event, event management, and post-event factors, the concept of Cybersecurity Readiness Tiers (CRT) was developed to compare the cybersecurity readiness of universities. The Cybersecurity Readiness Framework was evaluated using data collected from candidate universities sampled for this study; Principal Component Analysis was carried out on the dataset to reduce the dimension. The Cybersecurity Readiness Index (CRI) scores, along with their respective distributions, indicate that 14 (65%) of the twenty universities fall in T1, while 6 (35%) fall in T2. The grouping was based on their overall cybersecurity readiness, as computed using the mathematical equations of the framework. Thus, it implies universities in T2 have a high level of readiness to resist cybersecurity incidents, while universities in T1 are at a very low level of readiness due to the weak and inconsistent cybersecurity controls implemented. This study suggests that these universities have gaps in event management and post-event capabilities that require attention. Therefore, a h…
subject: Articles
  topic: section
subject: Cyber security readiness tiers
  topic: keywords
subject: universities
  topic: keywords
subject: risk assessment
  topic: keywords
subject: framework
  topic: keywords
subject: cyber security readiness index
  topic: keywords
subject: principal component analysis
  topic: keywords
creator: Olusegun Hamed Olugbile
creator: J. A. Ojeniyi
creator: Tochukwu Kene Anyachebelu
rights: Copyright (c) 2025 Olusegun Hamed Olugbile, J. A. Ojeniyi, Tochukwu Kene Anyachebelu https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-12-30
publication date: 2025-12-30
starting page: 131
ending page: 142
doi: 10.58524/app.sci.def.v3i3.780

Shielding innovation for health security: A PHITS-based optimization of Portland material for proton therapy
type: item
description: 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.
subject: Articles
  topic: section
subject: Cyclotron
  topic: keywords
subject: PHITS
  topic: keywords
subject: Portland material
  topic: keywords
subject: Proton therapy
  topic: keywords
subject: Radiation attenuation
  topic: keywords
creator: Damar Adhiwidya Suyanto
creator: Aditya Tri Oktaviana
creator: Mikael Syväjärvi
creator: Yohannes Sardjono
creator: Gede Sustresna Wijaya
creator: Isman Mulyadi Triatmoko
rights: Copyright (c) 2025 Damar Adhiwidya Suyanto, Aditya Tri Oktaviana, Mikael Syväjärvi, Yohannes Sardjono, Gede Sustresna Wijaya, Isman Mulyadi Triatmoko https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-08-30
publication date: 2025-08-30
starting page: 103
ending page: 116
doi: 10.58524/app.sci.def.v3i2.841

Cybersecurity and AI as enablers of economic resilience: A framework for sustainable growth in developing countries
type: item
description: 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.
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Cybersecurity
  topic: keywords
subject: Economic Resilience
  topic: keywords
subject: SDG 8
  topic: keywords
subject: Sustainable Growth
  topic: keywords
creator: Ali Siraj Ahmed
creator: Rahmat Budiarto
rights: Copyright (c) 2025 Ali Siraj Ahmed, Rahmat Budiarto https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-08-30
publication date: 2025-08-30
starting page: 89
ending page: 102
doi: 10.58524/app.sci.def.v3i2.857

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
type: item
description: 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.
subject: Articles
  topic: section
subject: C161T
  topic: keywords
subject: Nanopore sequencing
  topic: keywords
subject: PPAR-γ Gene
  topic: keywords
subject: SNP
  topic: keywords
subject: Type 2 diabetes mellitus
  topic: keywords
creator: Luluk Sakdiyyah
creator: Apip Hadi
creator: Yustinus Maladan
creator: Syahrul Tuba
rights: Copyright (c) 2025 Luluk Sakdiyyah, Apip Hadi, Yustinus Maladan, Syahrul Tuba https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-08-30
publication date: 2025-08-30
starting page: 65
ending page: 76
doi: 10.58524/app.sci.def.v3i2.830

Vision stick: An intelligent assistive device to support soldier mobility in visually impaired conditions
type: item
description: 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.
subject: Articles
  topic: section
subject: AI Vision
  topic: keywords
subject: Assistive Technology
  topic: keywords
subject: Dual-Mode Operation
  topic: keywords
subject: Ultrasonic Sensors
  topic: keywords
subject: Visually Impaired
  topic: keywords
subject: Vision Stick
  topic: keywords
creator: Muthumanickam K
creator: Logeshwaran V
creator: Sanjay B
creator: Simon Marshal I
rights: Copyright (c) 2025 Muthumanickam K, Logeshwaran V, Sanjay B, Simon Marshal I https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-08-30
publication date: 2025-08-30
starting page: 55
ending page: 64
doi: 10.58524/app.sci.def.v3i2.662

Cadmium telluride (CdTe) thin-film photovoltaics: A sustainable energy solution to support national energy resilience
type: item
description: 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.
subject: Articles
  topic: section
subject: Cadmium Telluride (CdTe)
  topic: keywords
subject: Efficiency Improvement
  topic: keywords
subject: PLTS
  topic: keywords
subject: Thin-Film Solar Cells
  topic: keywords
subject: Waste Management
  topic: keywords
creator: Annisa Mutiara Putri Abdul
creator: Adhi Kusumadjati
creator: Gustav Irgi Aldhiantoro
creator: Dinda Rahma Dewi
creator: Moh. Hisni Alfan Baarik
creator: Cornelia Victoria Anghel
rights: Copyright (c) 2025 Annisa Mutiara Putri Abdul, Adhi Kusumadjati, Gustav Irgi Aldhiantoro, Dinda Rahma Dewi, Moh. Hisni Alfan Baarik, Cornelia Victoria Anghel https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-08-30
publication date: 2025-08-30
starting page: 77
ending page: 88
doi: 10.58524/app.sci.def.v3i2.831

Evaluating multiple time series models for consumer price index forecasting to support national defense decision-making
type: item
description: Price stability, as reflected in the Consumer Price Index (CPI), plays a crucial role in supporting economic resilience and national defense readiness. This study evaluates multiple time series forecasting models, including Error-Trend-Seasonal (ETS), Holt, Holt–Winter, SARIMA, SARIMAX with exogenous variables, and hybrid approaches combining Holt/Holt–Winter with SARIMA, to identify the most accurate method for predicting Indonesia’s CPI. Monthly data from 2017–2022 were analyzed using a training–testing split, and forecasting accuracy was assessed based on RMSE. The results show that the Holt–Winter model outperforms all other approaches, achieving the lowest RMSE value of 1.9159. Residual diagnostics confirm that the Holt–Winter model effectively captures trend and seasonal patterns, with errors behaving close to white noise. These findings highlight the superiority of Holt–Winter in providing reliable CPI forecasts, offering significant implications for economic policy formulation and strategic planning in the context of national resilience.
subject: Articles
  topic: section
subject: Consumer Price Index
  topic: keywords
subject: Time Series Model
  topic: keywords
subject: Inflation Forecasting
  topic: keywords
creator: Muhammad Yusuf Al Habsy
creator: Ro'fah Nur Rachmawati
creator: Jumadil Saputra
rights: Copyright (c) 2025 Muhammad Yusuf Al Habsy, Ro'fah Nur Rachmawati, Jumadil Saputra https://creativecommons.org/licenses/by-sa/4.0
date: 2025-12-30
publication date: 2025-12-30
starting page: 117
ending page: 130
doi: 10.58524/app.sci.def.v3i3.865

Power and performance analysis of UUV motor systems with torpedo capabilities using to support the indonesian navy's maritime operations
type: item
description: 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.
subject: Articles
  topic: section
subject: Battery
  topic: keywords
subject: Defense
  topic: keywords
subject: Endurance
  topic: keywords
subject: Power
  topic: keywords
subject: UUV
  topic: keywords
creator: Gustav Irgi Aldhiantoro
creator: Kuntjoro Pinardi
creator: Adhi Kusumadjati
creator: Annisa Mutiara Putri Abdul
creator: Dinda Rahma Dewi
creator: Moh. Hisni Alfan Baarik
creator: Endah Kinarya Palupi
rights: Copyright (c) 2025 Gustav Irgi Aldhiantoro, Kuntjoro Pinardi, Adhi Kusumadjati, Annisa Mutiara Putri Abdul, Dinda Rahma Dewi, Moh. Hisni Alfan Baarik, Endah Kinarya Palupi https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-04-25
publication date: 2025-04-25
starting page: 45
ending page: 54
doi: 10.58524/app.sci.def.v3i1.651

Zero trust framework for protecting federal networks and cloud services
type: item
description: There has been a rapid uptake of cloud technologies in public sectors due to increased efficiency across operations while increasing the complexity of cyber threats. This paper analyses the original Zero Trust Architecture (ZTA) concept as a security concept applicable to federal networks and cloud services protection. It mainly involves linking ZTA principles with FedRAMP regulations and insists on constant validation, minimisation of rights, and breach presumption. The study outlines guidelines for ZTA implementations for compliance and readiness in the cloud environments.
subject: Articles
  topic: section
subject: Cloud computing
  topic: keywords
subject: FedRAMP
  topic: keywords
subject: Network Security
  topic: keywords
subject: Zero Trust Architecture
  topic: keywords
creator: Sudheer Kotilingala
rights: Copyright (c) 2025 Sudheer Kotilingala https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-04-25
publication date: 2025-04-25
starting page: 35
ending page: 44
doi: 10.58524/app.sci.def.v3i1.669

Enhancing digital resilience through GEN-AI driven video content moderation and copyright protection
type: item
description: In the digital era, ensuring digital resilience in video content moderation and copyright enforcement is crucial due to the vast volume of uploads. Traditional manual review methods are inefficient, necessitating AI-driven automation. This paper presents an AI-powered system integrating computer vision, deep learning, and NLP for real-time video analysis. The system detects inappropriate content using CLIP for visual moderation and Whisper for speech analysis, ensuring high-precision filtering with human oversight. A copyright protection mechanism employs watermarking and fingerprinting to generate unique digital signatures, preventing unauthorized content usage. A React-based UI with Vite framework provides an interactive reviewer experience. By combining automation with human intervention, this approach enhances moderation accuracy, copyright enforcement, and compliance with global content standards, fostering a more secure and resilient digital ecosystem. This system enhances digital resilience and security, making it applicable for defense and national security in protecting sensitive content.
subject: Articles
  topic: section
subject: Content DB
  topic: keywords
subject: Digital Signature
  topic: keywords
subject: Fingerprinting
  topic: keywords
subject: Computer-Vision
  topic: keywords
creator: Muthumanickam K
creator: Kathirvel T
creator: Harish Vishnu K
creator: Mukesh Rajan N
rights: Copyright (c) 2025 Muthumanickam K, Kathirvel T, Harish Vishnu K, Mukesh Rajan N https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-04-25
publication date: 2025-04-25
starting page: 25
ending page: 34
doi: 10.58524/app.sci.def.v3i1.640

Bibliometrix research of noise removal techniques in digital images for defense
type: item
description: In modern defense applications, the accuracy and clarity of digital images are crucial, especially for tasks like surveillance, reconnaissance, and intelligence gathering. However, noise introduced during image acquisition or transmission significantly degrades image quality. This paper presents a comprehensive review of various noise removal techniques employed in digital image processing for defense systems. The review focuses on both linear and non-linear methods, including matrix decomposition, hybrid deep learning, Generative Adversarial Networks (GANs), and trimming filters. Emphasis is placed on the effectiveness of each technique in enhancing image quality while preserving critical details. The use of linear and non-linear methods such as deep learning-based approaches is shown to outperform traditional linear filters in handling complex noise patterns, particularly in scenarios requiring precise object detection and image restoration. The paper highlights a comprehensive overview of the researched literature and shows the latest trends and developments in the field. Finally, recommendations for future research and the development of more robust noise reduction methods are provided, aiming to improve operational effectiveness in defense applications.
subject: Articles
  topic: section
subject: Median Filters
  topic: keywords
subject: Mean Filters
  topic: keywords
subject: Salt and pepper noise
  topic: keywords
subject: Impulse noise
  topic: keywords
subject: Image restoration
  topic: keywords
creator: Fulkan Kafilah Al Husein
creator: Muhammad Yusuf Al Habsy
creator: Damaris Nugrahita Christi
creator: Agnes Emanuela Hutagaol
creator: Ahmad Kadri bin Junoh
rights: Copyright (c) 2025 Fulkan Kafilah Al Husein, Muhammad Yusuf Al Habsy, Damaris Nugrahita Christi, Agnes Emanuela Hutagaol, Ahmad Kadri bin Junoh https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-04-25
publication date: 2025-04-25
starting page: 9
ending page: 24
doi: 10.58524/app.sci.def.v3i1.463

Rice distribution optimization using initial basic feasible and modified solution to increase food security in West Java
type: item
description: 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.
subject: Articles
  topic: section
subject: Food Security
  topic: keywords
subject: IBFS
  topic: keywords
subject: MODI
  topic: keywords
subject: Rice Trade
  topic: keywords
subject: Transportation Method
  topic: keywords
creator: Fachri Al Aziz Putrandi
creator: Divacha Vicha Mollie
creator: Atmadi
creator: Julio Rivaldo Sembiring
creator: Abdul Fakhar
rights: Copyright (c) 2025 Fachri Al Aziz Putrandi, Divacha Vicha Mollie, Atmadi, Julio Rivaldo Sembiring, Abdul Fakhar https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2025-04-25
publication date: 2025-04-25
starting page: 1
ending page: 8
doi: 10.58524/app.sci.def.v3i1.434

Preliminary study of dynamic modeling based on quaternion analysis for tricopter drone
type: item
description: 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.
subject: Articles
  topic: section
subject: Dynamics
  topic: keywords
subject: Motion
  topic: keywords
subject: Quaternion
  topic: keywords
subject: Rotor
  topic: keywords
subject: Tricopter
  topic: keywords
creator: Agya Sewara Alam
creator: Adhi Kusumadjati
creator: Aditya Tri Oktaviana
rights: Copyright (c) 2024 Agya Sewara Alam, Adhi Kusumadjati, Aditya Tri Oktaviana https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-12-30
publication date: 2024-12-30
starting page: 147
ending page: 154
doi: 10.58524/app.sci.def..v2i3.530

Anti-kyphosis smart bag detection of overweight bag load and improper spinal posture in army members when using work bags
type: item
description: 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.
subject: Articles
  topic: section
subject: Kyphosis
  topic: keywords
subject: Smart Bag
  topic: keywords
subject: Spinal Posture
  topic: keywords
subject: TNI
  topic: keywords
creator: Agung Hirawan
creator: Muhammad Rey Renoult
creator: Diyan Parwatiningtyas
creator: Iqbal Ahmad Dahlan
creator: Adhi Kusumadjati
creator: Jofim Yordaniel Napitupulu
rights: Copyright (c) 2024 Agung Hirawan, Muhammad Rey Renoult, Diyan Parwatiningtyas, Iqbal Ahmad Dahlan, Adhi Kusumadjati, Jofim Yordaniel Napitupulu https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-12-30
publication date: 2024-12-30
starting page: 123
ending page: 134
doi: 10.58524/app.sci.def..v2i3.410

Unmanned aerial vehicle classification and detection system based on deep learning, internet of military things, and PID control system
type: item
description: Indonesia is an archipelagic country situated between two continents and two oceans. With numerous islands, it is rich in natural resources but faces various military and non-military threats. One significant threat to maritime nations like Indonesia is from the air, which includes direct attacks from manned and unmanned aircraft and using aerial vehicles for intelligence and surveillance. The primary weapon system is crucial for national defense against such threats. Therefore, developing defense equipment in Indonesia must align with technological advancements to ensure quick and efficient operation. This research focuses on creating a classification and reconnaissance system for flying vehicles to enhance air defense capabilities. In the surveillance system, two servos are used for yaw and pitch axes, controlled by a Proportional, Integrative, and Derivative (PID) system. This PID control significantly improves servo movement both dynamically and statically. The system sends notifications via Telegram for monitoring, with an average FPS of 9.6. Flask is used for the website interface, averaging 6.8 FPS, and MIT App Inventor is used for the smartphone interface, averaging 7.6 FPS. This flying vehicle classification and reconnaissance system enhances Indonesia's air defense, utilizing YOLOv8 for classification, PID control for servo movements, and integrated notifications and interfaces for both web and smartphones.
subject: Articles
  topic: section
subject: Air Defense
  topic: keywords
subject: Flask
  topic: keywords
subject: MIT APP Inventor
  topic: keywords
subject: Telegram
  topic: keywords
subject: YOLOv8
  topic: keywords
creator: Azka Versantariqh Lesmana
creator: Iqbal Ahmad Dahlan
creator: Hendrana Tjahjadi
creator: Setya Widyawan Prakosa
creator: Muhammad Azka Firdaus
rights: Copyright (c) 2024 Azka Versantariqh Lesmana, Iqbal Ahmad Dahlan, Hendrana Tjahjadi, Setya Widyawan Prakosa, Muhammad Azka Firdaus https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-12-30
publication date: 2024-12-30
starting page: 111
ending page: 122
doi: 10.58524/app.sci.def..v2i3.439

The conceptual model to improve failure risk management water distribution system using ordinary differential equation model to support water resilience in military residential facilities
type: item
description: 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 a…
subject: Articles
  topic: section
subject: Distribution
  topic: keywords
subject: Failure
  topic: keywords
subject: Model
  topic: keywords
subject: Resilience
  topic: keywords
subject: Water
  topic: keywords
subject:
  topic: keywords
creator: Fulkan Kafilah Al Husein
creator: Muhamad Syazali
creator: Suhaila Saidat
creator: Nursyiva Irsalinda
creator: Fajri Farid
rights: Copyright (c) 2024 Fulkan Kafilah Al Husein, Muhamad Syazali, Suhaila Saidat, Nursyiva Irsalinda, Fajri Farid https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-12-30
publication date: 2024-12-30
starting page: 93
ending page: 110
doi: 10.58524/app.sci.def..v2i3.341

Insights into latent tuberculosis biomarkers from differential gene expression analysis in CD8 memory cells using secondary data Insilico approach
type: item
description: 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.
subject: Articles
  topic: section
subject: Biomarkers
  topic: keywords
subject: CD8 T cells
  topic: keywords
subject: latent tuberculosis
  topic: keywords
subject: RNA sequencing
  topic: keywords
subject: TB diagnostics
  topic: keywords
creator: Atmadi
creator: Tiara Rahayu
creator: Indah Kusuma Wardani
creator: Reihana Marsha Cahyani Elsadi
creator: Azizah Eka Milasari
creator: M. Ridwan Amarullah Witadi
rights: Copyright (c) 2024 Atmadi, Tiara Rahayu, Indah Kusuma Wardani, Reihana Marsha Cahyani Elsadi, Azizah Eka Milasari, M. Ridwan Amarullah Witadi https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-12-30
publication date: 2024-12-30
starting page: 135
ending page: 146
doi: 10.58524/app.sci.def..v2i3.362

Specific function of vitamin D in bone
type: item
description: There are two sources of vitamin D, namely from food and sun exposure. The content of vitamin D is given beneficial in bone and mineral metabolism. Vitamin D helps absorption of calcium in the intestines, thereby accelerating bone mineralization. Bone metabolism is a complex process that occurs throughout life. Very high doses of vitamin D can stimulate an increased rate of bone loss. Vitamin D deficiency causes bone demineralization. Which can cause a decrease in calcium absorption. The functions of these metabolites vary widely in vital metabolic pathways. This review aims to determine the specific function of vitamin D in bone. The search for the data base was carried out by the analytical method. Vitamin D which is absorbed from food or comes from the skin turns into an active form in the form of 1,25- (OH) 2-D3 which will enter the bloodstream, playing an important role in bone and extra-skeletal health.
subject: Articles
  topic: section
subject: Bone
  topic: keywords
subject: Mineralization
  topic: keywords
subject: Vitamin D
  topic: keywords
creator: Dennisa Putri Ramadhani
creator: Hammanda AD
creator: Salsabila Azzahra
creator: Akbar Rizkyadsyah
creator: Anis Ulayya
creator: Miftahul Huda Fendiyanto
rights: Copyright (c) 2024 Dennisa Putri Ramadhani, Hammanda AD, Salsabila Azzahra, Akbar Rizkyadsyah, Anis Ulayya, Miftahul Huda Fendiyanto https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-08-30
publication date: 2024-08-30
starting page: 93
ending page: 104
doi: 10.58524/app.sci.def.v2i2.347

The effect of refugia on prey-predator model with parasite infection
type: item
description: This study examines the impact of prey-hiding behavior on predator-prey dynamics within theoretical and mathematical ecology. We conduct both analytical and numerical analyses to explore the effects of protection on these dynamics. Our model divides the prey population into two subclasses: susceptible prey (S(t)) and infected prey (I(t)), changing over time. Utilizing a Holling's model type-1, we find that the trivial equilibrium of the model is unstable, while both the disease-free and disease equilibrium points are stable. These simulations provide insights into the characteristics of animals in natural environments.
subject: Articles
  topic: section
subject: Differential Equations
  topic: keywords
subject: Disease
  topic: keywords
subject: Hollings Type
  topic: keywords
subject: Prey-predator
  topic: keywords
subject: Refugee
  topic: keywords
creator: Fitri Nur Azizah
creator: Annisa Risda Alivia
creator: Habban Riawan Syahrul Haz
creator: Ubaidullah Yashkun
rights: Copyright (c) 2024 Fitri Nur Azizah, Annisa Risda Alivia, Habban Riawan Syahrul Haz, Ubaidullah Yashkun https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-08-30
publication date: 2024-08-30
starting page: 83
ending page: 92
doi: 10.58524/app.sci.def.v2i2.423

Modeling suspected malaria cases in Papua province with second order Besag-York-Mollie 2 spatial regression
type: item
description: The number of malaria cases in Indonesia has increased in recent years. The highest malaria cases in Indonesia are in the eastern region, namely Papua Province, where in 2021 there were 86,022 cases. This study aims to model suspected malaria cases in Papua using the Integrated Nested Laplace Approximation (INLA) approach. Modelling is carried out with two different orders to see the difference in determining the best results. The results showed that second-order spatial modelling provides better results than first order modelling because the RMSE value is smaller than the first-order model. Based on these results, it is concluded that the INLA approach with second-order spatial modelling is effective for analysing and predicting suspected malaria cases in Papua. Therefore, these results can be used as a reference in developing malaria control strategies in the region.
subject: Articles
  topic: section
subject: INLA
  topic: keywords
subject: Disease mapping
  topic: keywords
subject: Papua Province
  topic: keywords
subject: Conditional Autoregressive
  topic: keywords
subject: Spatial statistics
  topic: keywords
creator: Kirana Azzahra
creator: Ro'fah Nur Rachmawati
creator: Muhamad Syazali
rights: Copyright (c) 2024 Kirana Azzahra, Ro'fah Nur Rachmawati, Muhamad Syazali https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-08-30
publication date: 2024-08-30
starting page: 73
ending page: 82
doi: 10.58524/app.sci.def.v2i2.433

Clinical cases of paronychia infection: A narrative review
type: item
description: Paronychia is an infection that occurs in the nail fold and the barrier between the nail and cuticle, is usually caused by penetrating trauma, which allows pathogens to infect and cause damage. The infection is caused by chemical factors, such as fungi, viruses, and bacteria, and risk factors, such as occupation, allergies, and finger-biting habits. Paronychia is a common nail infection that can significantly impact quality of life and work productivity, especially in certain occupations. Paronychia infection was differentiated by two categories, acute and chronic infection. The lack of knowledge regarding the prevention, cure, and rehabilitation of paronychia infection in Indonesia is the cause of the increasing cases of this infection. This review aims to provide knowledge for the Indonesian public and an opportunity for health workers to explore paronychia cases in Indonesia. The data in this paper were retrieved from 32 articles from 2014 - 2024 from PubMed, Cochrane, and Scopus. Articles were selected based on relevance to clinical cases of paronychia in humans, focusing on diagnosis, treatment and outcomes. Then, evaluate the causes, diagnosis, and treatment of paronychia using narrative review. Found that acute paronychia results from trauma or infection, while chronic cases are often caused by fungi. Treatment in acute paronychia is done with warm soaks and oral antibiotics, while chronic requires long-term topical corticosteroids and antifungal treatments. This review analyzes clinical cases of acute and chronic paronychia to evaluate their causes, diagnosis, and treatment. Further research is needed to advance the knowledge and treatment of paronychia infections.
subject: Articles
  topic: section
subject: Acute
  topic: keywords
subject: Nail Infection
  topic: keywords
subject: Paronychia
  topic: keywords
subject: Retronychia
  topic: keywords
creator: Sadina Tahara Jusivani
creator: Indah Kusuma Wardani
creator: Tiara Rahayu
creator: Nastiti Intan Permata Sari
creator: Fumito Maruyama
rights: Copyright (c) 2024 Sadina Tahara Jusivani, Indah Kusuma Wardani, Tiara Rahayu, Nastiti Intan Permata Sari, Fumito Maruyama https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-08-30
publication date: 2024-08-30
starting page: 61
ending page: 72
doi: 10.58524/app.sci.def.v2i2.355

Prototype smart integrated fire detection based on deep learning YOLO v8 and IoT (internet of things) to improve early fire detection
type: item
description: The high incidence of fires in Indonesia in 2018-2023 is 5,336 fire incidents have caused many deaths and enormous material losses. This system is designed to identify early signs of fire through object detection and sensor technology, which is integrated with the Blynk IoT platform for real-time sensor monitoring and Telegram for instant notifications to users. The waterfall prototype method was designed through observation, system design, program code creation, tool testing, and tool implementation. This research uses Deep Learning YOLOv8 technology and IoT using ESP 32 as a microcontroller. Based on the training datasets, it produces precision=0.95872; recall=0.91; mAP50=0.97; mAP50-95 =0.66. The system uses the integration of a multisensor KY-026 flame sensor, DHT 22 temperature and humidity sensor, and MQ-2 sensors can detect CO, LPG, and smoke gas. All these multisensors can be monitored on Blynk IoT and Telegrambot in real time.
subject: Articles
  topic: section
subject: Fire detection
  topic: keywords
subject: Deep learning
  topic: keywords
subject: Object detection
  topic: keywords
creator: Muhammad Azka Firdaus
creator: Iqbal Ahmad Dahlan
creator: H A Danang Rimbawa
creator: Muhammad Azka Versantariqh
creator: Setya Widyawan Prakosa
rights: Copyright (c) 2024 Muhammad Azka Firdaus, Iqbal Ahmad Dahlan, H A Danang Rimbawa, Muhammad Azka Versantariqh, Setya Widyawan Prakosa https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-08-30
publication date: 2024-08-30
starting page: 49
ending page: 60
doi: 10.58524/app.sci.def.v2i2.437

Linear mixed model approach: The effect of poor people & unemployment rate on various types of crime in 34 provinces in Indonesia
type: item
description: Currently, Indonesia faces serious challenges related to increasing crime rates throughout the country. Various types of crime, such as increasing drug cases, increasingly concerning violations of decency, and disturbing acts of fraud, embezzlement, and corruption, have become a major concern for society and the government. In this context, this research plays an important role in efforts to understand the factors that drive the growth of crime and pursue the vision and mission of Indonesia Emas 2045, which sets targets to reduce poverty to reach zero percent. The main focus of the research is to link poverty and unemployment rates with three key types of crime that affect Indonesia's future. In this study, we try to understand how poverty rates and unemployment rates affect these types of crime in 34 provinces in Indonesia. The study used a statistical method called Linear Mixed Model with the support of R software. Of the 27 models analyzed, several models had a significant impact. The data used in this study was obtained from the Central Statistics Agency (BPS). The results of this study provide valuable insights into the factors influencing crime in Indonesia, which in turn can be used as a basis for designing more effective policies in an effort to achieve the vision and mission of Indonesia Emas 2045.
subject: Articles
  topic: section
subject: Linear mixed model
  topic: keywords
subject: Crime
  topic: keywords
subject: Poverty
  topic: keywords
subject: Unemployment
  topic: keywords
creator: Atmadi
creator: Nieldy R Tarigan
creator: I Putu Aditya Brama Putra Cakra Negara
creator: Najlaa Syalaisa
creator: Muhammad Iqbal Al-Banna Ismail
rights: Copyright (c) 2024 Atmadi, Nieldy R Tarigan, I Putu Aditya Brama Putra Cakra Negara, Najlaa Syalaisa, Muhammad Iqbal Al-Banna Ismail https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-04-30
publication date: 2024-04-30
starting page: 37
ending page: 48
doi: 10.58524/app.sci.def.v2i1.350

Simulation of calculation of combat vehicle fuel efficiency by reducing vehicle weight using aluminum material
type: item
description: 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
subject: Articles
  topic: section
subject: Almunium
  topic: keywords
subject: Combat Verhicle
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Mass Reduction
  topic: keywords
creator: Jofim Yordaniel Napitupulu
creator: Riri Murniati
creator: Adhi Kusumadjati
creator: Agung Hirawan
creator: Mochamad Ibnu Alwan
creator: Ramandasoavina Blanchard
rights: Copyright (c) 2024 Jofim Yordaniel Napitupulu, Riri Murniati, Adhi Kusumadjati, Agung Hirawan, Mochamad Ibnu Alwan, Ramandasoavina Blanchard https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-04-30
publication date: 2024-04-30
starting page: 9
ending page: 18
doi: 10.58524/app.sci.def.v2i1.336

Identification of Mineral Zircon (ZrSiO4) Rare Earth Metal (REM) As Smart Material For Electric Tactical Motor Bike Battery
type: item
description: Rare earth metals are associated minerals that are magnetic used as the main component in providing power to most electronic devices. Rare earth metal (REM) as a smart material that has 14 chemical elements. These elements are grouped according to their molecular weight, namely light rare earth metals (Ce, Pr, Nd, Pm, Sm, Eu) and heavy rare earth metals (Gd, Tb, Dy, Ho, Tr, Tm, Yb, Lu) . The use of this REM includes electric cars, health identification devices, LCDs and computer hardware. From some of the benefits and contents of REM, its development is not only in the industrial world but also in the world of defense, one of which is as a battery for motorized vehicles developed by the ministry of defense (Electric Tactical Motor Bike) that uses lithium batteries as a source of electrical energy. However, the use of lithium batteries which have shortcomings in terms of charging makes them look for other alternatives so that they can be charged optimally, one of which is using REM. The strategic position of rare earth minerals in the future must be developed so that they can be used sustainably, considering that Indonesia has potential resources that can be utilized.
subject: Articles
  topic: section
subject: Rare Earth Metal
  topic: keywords
subject: Zircon Battery
  topic: keywords
subject: Electric Tactical Motor Bike
  topic: keywords
creator: Dimas Prayogo
creator: Riri Murniati
creator: Chutiwat Likitaporn
rights: Copyright (c) 2024 Dimas Prayogo, Riri Murniati, Chutiwat Likitaporn https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-04-30
publication date: 2024-04-30
starting page: 29
ending page: 36
doi: 10.58524/app.sci.def.v2i1.333

Using 3D design technology and a combination of carbon fiber and 16% HGM epoxy resin, female troops are wearing bulletproof vests
type: item
description: Women are becoming more active in the defense industry. Since the morphology of the female body differs from that of the male during military activities, it is required to modify personal protection equipment to accommodate the female body shape. According to a literature review, a survey of a sample of female soldiers from different nations revealed that they felt the impacts of breast soreness when running, as well as a sense of "distorted breasts" and breathing difficulties. The woman's petite frame and the bulky, hefty bulletproof jacket both draw criticism for their respective dimensions. Using 3D design technology, a female mannequin with a 95B breast size was scanned in order to create a bullet-proof vest that is tailored to the contour of a woman's body. Changes in the breast's contour, which affect changes in the surface point parameters, result in adaptive breasts. Utilizing a combination of carbon fiber and 16 percent HGM epoxy, bullet-proof vests can be modified to provide lightweight dimensions and have the benefit of good ballistic resistance. This results in a material that is 20 mm for thick, 1,348 kg in weight, and capable of absorbing 348.27 Joules of energy from bullets. The results of this research are not optimal, so developments are needed in further research.
subject: Articles
  topic: section
subject: 3D design technology
  topic: keywords
subject: Adaptive breast
  topic: keywords
subject: Carbon fiber
  topic: keywords
subject: HGM epoxy
  topic: keywords
subject: Women bulletproof vest
  topic: keywords
creator: Agnes Sprakezia Lubis
creator: Sovian Aritonang
creator: Raditya Faradina
creator: Vishal R Panse
rights: Copyright (c) 2024 Agnes Sprakezia Lubis, Sovian Aritonang, Raditya Faradina, Vishal R Panse https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-04-30
publication date: 2024-04-30
starting page: 19
ending page: 28
doi: 10.58524/app.sci.def.v2i1.329

Times series data analysis: The Holt-Winters model for rainfall prediction In West Java
type: item
description: Time series data analysis is used to analyze data that considers time and data characteristics to predict future events. One of the time series data is rainfall data. Rainfall data has a seasonal pattern because there is a pattern that repeats itself over a certain period. Data analysis that considers the characteristics of seasonal patterns is the Holt-Winters method. The Holt-Winters model is divided into two, namely additive and multiplicative models. This research aims to compare the Holt-Winters additive and multiplicative methods to see the accuracy in predicting rainfall data in West Java. The additive model has level parameter I±=0,435, trend parameter I²=0, seasonal parameter I³=1, and RMSE value 140,174. The multiplicative model has level parameter I±=0,936, trend parameter I²=0, seasonal parameter I³=0,247, and RMSE value 150,020. The additive model has a smaller RMSE value so it can predict future rainfall with greater accuracy.
subject: Articles
  topic: section
subject: Holt-Winters
  topic: keywords
subject: Rainfall
  topic: keywords
subject: Seasonal
  topic: keywords
subject: Times Series
  topic: keywords
creator: Eko Primadi Hendri
creator: Sarah Fadhlia
rights: Copyright (c) 2024 Eko Primadi Hendri, Sarah Fadhlia https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2024-03-30
publication date: 2024-03-30
starting page: 1
ending page: 8
doi: 10.58524/app.sci.def.v2i1.325

Approximation of BPS Skyrme model using modified Lagrangian Skyrmion
type: item
description: One of the nuclear atomic models represented by Skyrmion was the Skyrme model. This model was a modified nonlinear sigma model with a Skyrme field where the classical solution use generalized sixth order terms and potential terms. The binding energy that will be studied in the Skyrme SU(2) model is to generalize the second order nonlinear sigma model terms with sixth order derivative terms. The Lagrangian will be obtained for these two terms to find the BPS (Bogomolny Prasad Sommerfield) solution for the profile function numerically. The result of numerical calculation will be used to calculate static energy and rotational energy, where the characteristic of the nucleus can be observed from these two energies. Furthermore, the value of the coupling constant in the Lagrangian Skyrmion will be calculated from the static energy and rotational energy obtained previously. These values are expected to help in the application of Skyrme model for many research physics field.
subject: Articles
  topic: section
subject: BPS solution
  topic: keywords
subject: Coupling constant
  topic: keywords
subject: Rotational energy
  topic: keywords
subject: Static energy
  topic: keywords
subject: Skyrmion
  topic: keywords
creator: Aditya Tri Oktaviana
creator: Abdul Rahman Alfarasyi
creator: Truong Gia Huy
creator: Khazali Fahmi
rights: Copyright (c) 2023 Aditya Tri Oktaviana, Abdul Rahman Alfarasyi, Truong Gia Huy, Khazali Fahmi https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2023-12-30
publication date: 2023-12-30
starting page: 81
ending page: 90
doi: 10.58524/app.sci.def.v1i3.302

A review of polymer composite materials in bulletproof vest to defense sector
type: item
description: Personal protection, especially in the context of military protection and security, became a major focus in the development of bulletproof vests. Polymer composite materials offer a wide range of advantages in terms of strength, density, and ability to reduce the kinetic energy of projectiles, making them an attractive choice for such protection applications. This study examines the different types of polymers and composite technologies used in the manufacture of bulletproof vests. This study examines the use of polymer composite materials in the manufacture of bulletproof vests used in the defense sector. We evaluate the mechanical, thermal, and ballistic properties of these materials and investigate the design approaches applied to improve the performance of these protectors. The research proved that the composite was efficient enough to be used as a bulletproof vest material because it was light, flexible and strong.
subject: Articles
  topic: section
subject: Bulletproof Vests
  topic: keywords
subject: Composites
  topic: keywords
subject: Military
  topic: keywords
creator: Olivia Thresnayu Cahayaputri
creator: Riri Murniati
creator: Sovian Aritonang
creator: Aditya Tri Oktaviana
rights: Copyright (c) 2023 Olivia Thresnayu Cahayaputri, Riri Murniati, Sovian Aritonang, Aditya Tri Oktaviana https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2023-12-30
publication date: 2023-12-30
starting page: 91
ending page: 96
doi: 10.58524/app.sci.def.v1i3.296

A development of high sensitivity magnetic sensor based on giant magnetoresistance with simple implementation on smartphone
type: item
description: 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.
subject: Articles
  topic: section
subject: Giant Magnetoresistance
  topic: keywords
subject: Sensor
  topic: keywords
subject: Magnet
  topic: keywords
subject: Smartphone
  topic: keywords
creator: Adhi Kusumadjati
creator: Sony Wardoyo
creator: Agung Hirawan
creator: Mochamad Ibnu Alwan
creator: Ramandasoavina Blanchard
rights: Copyright (c) 2023 Adhi Kusumadjati, Sony Wardoyo, Agung Hirawan, Mochamad Ibnu Alwan, Ramandasoavina Blanchard https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2023-12-30
publication date: 2023-12-30
starting page: 75
ending page: 80
doi: 10.58524/app.sci.def.v1i3.280