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Muhamad Syazali
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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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Identification of Mineral Zircon (ZrSiO4) Rare Earth Metal (REM) As Smart Material For Electric Tactical Motor Bike Battery Prayogo, Dimas; Murniati, Riri; Likitaporn, Chutiwat
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.v2i1.333

Abstract

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.
Mathematical modeling of basal body temperature influence on menstrual cycle, length of sleep, and stress levels as detection of fertile period (ovulation) in women Rahayu, Tiara; Hasudungan, Ardiman; Afiya, Rahmatul; Farradila M, Vinka; Rachmawati, Ro'fah Nur
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.v1i3.234

Abstract

Basal body temperature is the temperature when the body reaches the resting phase or does not perform any activity. Basal body temperature is influenced by factors such as the quality of a person's length of sleep, stress, and menstrual cycle patterns. The benefit of checking and monitoring basal body temperature for a woman is to determine when a woman starts to enter the ovulation period, making it easier for couples who want a target pregnancy. The measurement method was carried out in the morning right after waking up using a thermometer flanked in the armpit area by applying three repetitions of measurements within a period of two months with the number of sample participants of 10 cadet students of military biology study program with an age range of 19-21 years. This type of research is carried out observationally and analytically using longitudinal data. The analysis used in this study was by conducting a statistical mathematical model trial by analyzing the p-value. The results showed that in the paired test there was a significant influence of the relationship of basal body temperature on the menstrual cycle at the time before menstruation and when menstruation. The researcher's suggestion is to conduct further research with larger participants of samples and the presence of sample variations in observations because not all biologists do significant research with the statistical method.
The effect of refugia on prey-predator model with parasite infection Azizah, Fitri Nur; Alivia, Annisa Risda; Syahrul Haz, Habban Riawan; Yashkun, Ubaidullah
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 2 (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.v2i2.423

Abstract

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.
Linear mixed model approach: The effect of poor people & unemployment rate on various types of crime in 34 provinces in Indonesia Atmadi, Atmadi; Tarigan, Nieldy R; Negara, I Putu Aditya Brama Putra Cakra; Syalaisa, Najlaa; Ismail, Muhammad Iqbal Al-Banna
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.v2i1.350

Abstract

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.
Application of ARIMA (Autoregressive Integrated Moving Average) model to predict Rupiah selling exchange rate against US Dollar Febriawan, Afif; Virgantari, Fitria; Kamila, Isti; Taganap, Eduard
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.v1i3.225

Abstract

Currency is a tool in the form of money that is accepted and valid and legal as a payment and economic transactions in a country. US dollar is benchmark for world currencies, so predicting rupiah against US dollar is important. The purpose of this study is to analyze the characteristics of daily selling rate Rupiah against US Dollar, determine best model, and make predictions selling rate of Rupiah against US Dollar. Data used is daily data on selling rate of Rupiah against US Dollar 20 November 2020 - 19 January 2023 with details data training 20 November 2020 - 20 November 2022 and data testing 21 November 2022 - 19 January 2023. The model used is Autoregressive Integrated Moving Averages (ARIMA). The best model was chosen based on the smallest Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and Akaike Information Criterion (AIC). From the analysis results, it is found that best model is ARIMA (2,1,2) because it has significant parameters, white-noise residuals and has smallest MSE and MAPE values. With ARIMA model (2,1,2) the forecasting results for January 20 2023 – January 31 2023 is obtained with highest selling price on January 30 2023 Rp.15,932.4 and smallest on January 20 2023 Rp.15,901.9 and the average Rp.15,919.4. Based on these results, exporters and importers can consider their business activities.
Specific function of vitamin D in bone Ramadhani, Dennisa Putri; AD, Hammanda; Azzahra, Salsabila; Rizkyadsyah, Akbar; Ulayya, Anis; Fendiyanto, Miftahul Huda
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 2 (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.v2i2.347

Abstract

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.
Times series data analysis: The Holt-Winters model for rainfall prediction In West Java Hendri, Eko Primadi; Fadhlia, Sarah
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.v2i1.325

Abstract

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.
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.
Modeling suspected malaria cases in Papua province with second order Besag-York-Mollie 2 spatial regression Azzahra, Kirana; Rachmawati, Ro'fah Nur; Syazali, Muhamad
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 2 (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.v2i2.433

Abstract

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.
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

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