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All Journal International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Muhamad Syazali
Indonesia Defense University
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

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Antibiotic resistance patterns of staphylococcus aureus in chicken farms: Implications for health resilience in Indonesia Tiara Rahayu; M Ridhwan Amarullah; Alexander Yabansabra; Aparna Dixit; Muhamad Syazali; Nabila Swarna Puspa Hermana
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol. 1 No. 2 (2023): International Journal of Applied Mathematics, Sciences, and Technology for Nati
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v1i2.169

Abstract

Health resilience refers to an individual's or a community's ability to withstand and recover from various health challenges and crises. Antibiotic resistance poses a significant threat to health resilience due to its impact on the effectiveness of antibiotics. The urgency of the issue of multidrug bacterial resistance in public health is a concern. The phenomenon discussed in this paper is related to the environment that becomes resistant to the antibiotic Staphylococcus aureus which causes high morbidity and mortality in animals such as chickens. In this study, there were three levels of antibiotic resistance based on clear zone media culture, namely resistance, intermediates, and sensitivity with each antibiotic totaling nine chicken cloacal swab samples. The purpose of this study was to determine the pattern of the significance of antibiotic resistance in S. aureus in three chicken farms in West Java Province (Bogor, Parung, and Sukabumi). This study used secondary data from previous studies and analyzed with nonparametric statistical methods using the Kruskal Wallis Test (One Way ANOVA). The results of the analysis showedalmost all gave a resistant response characterized by the absence of a clear zone in bacterial culture media treated with the same antibiotic in all chicken cloaca swab samples taken from farms in Bogor, Parung, and Sukabumi. Thus, resulting in the same resistance pattern. This indicates the pattern of the resilience of resistance in West Java is the same because the ecological conditions and living standards of the community are almost the same. These results may illustrate important concerns for the possibility of other regions in Indonesia having similar patterns of antibiotic resistance, so antibiotic use must adhere to appropriate guidelines to combat further antibiotic-resistant strains.
Mixed linear model for investigating food security during the covid-19 pandemic: Panel data for rice consumption in indonesia Mutiara Aghnyn Aisyah; Devita Amalia Putri; Yoshua Chandra; Muhamad Syazali; Amir Machmud; Ro'fah Nur Rachmawati
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol. 1 No. 1 (2023): International Journal of Applied Mathematics, Sciences, and Technology for Nati
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v1i1.174

Abstract

The Covid-19 pandemic has affected human life behavior, starting from health, the economy to living habits, one of them is the rice consumption. This study aims to find out whether the Covid-19 pandemic can affect people's rice consumption, and what are the factors that can affect people's rice consumption before and during the pandemic. The independent factors studied in this study were harvested area, productivity, rice production, crime rate, and the ratio of household gas use, with rice consumption as the dependent variable. The data used is panel data for 2019 and 2020, from 34 provinces in Indonesia, which is one of the five countries with the highest rice consumption in the world. By using mixed linear models, the research results show that in general Covid-19 pandemic has not had a significant effect on rice consumption in Indonesia. Other facts also show that social factors, namely the crime rate during a pandemic, did not have a significant effect on rice consumption.However, this is different from economic factors such as productivity and harvested area which have a significant positive effect on rice consumption in Indonesia.
The conceptual model to improve failure risk management water distribution system using ordinary differential equation model to support water resilience in military residential facilities Fulkan Kafilah Al Husein; Muhamad Syazali; Suhaila Saidat; Nursyiva Irsalinda; Fajri Farid
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 Nati
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.
Modeling suspected malaria cases in Papua province with second order Besag-York-Mollie 2 spatial regression Kirana Azzahra; Ro'fah Nur Rachmawati; Muhamad Syazali
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 Nati
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.
Co-Authors Alexander Yabansabra Amir Machmud Aparna Dixit Devita Amalia Putri Fajri Farid Fulkan Kafilah Al Husein Kirana Azzahra M Ridhwan Amarullah Mutiara Aghnyn Aisyah Nabila Swarna Puspa Hermana Nursyiva Irsalinda Ro'fah Nur Rachmawati Suhaila Saidat Tiara Rahayu Yoshua Chandra