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All Journal International Journal of Electronics and Communications Systems International Journal of Hydrological and Environmental for Sustainability Islamic Journal of Integrated Science Education International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Dixit, Aparna
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Mathematics Physics Social Sciences Other

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 1 
Mapping Blue Economy Potential Using Spatial Statistical Downscaling Model: Analysis of the Impact of Climate Change on Freshwater Fish Resources Aghnyn, Mutiara; Rachmawati, Rofah Nur; Abdurrazzaq, Achmad; Brahme, Nameeta; Dixit, Aparna; Hadap, Arti
International Journal of Hydrological and Environmental for Sustainability Vol. 3 No. 1 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i1.440

Abstract

Blue Economy is a sustainable economic concept that focuses on utilizing economic resources in marine, coastal and land ecosystems. Sustainable use of freshwater resources in the blue economy for inland waters supports economic growth with environmental balance. The Statistical Downscaling method is used to understand the impact of climate change on freshwater fish resources. To carry out mapping of the potential of the blue economy, it is carried out by statistical downscaling modeling with satellite variables with Integrated Nested Laplace Approximation parameter estimates. The response variable is satellite variables in the form of average rainfall. The modeling results show that Kalipuro District has the highest blue economy potential, while Kalibaru has the lowest. From the research results, that satellite data on average rainfall is a strong basis for printing statistical downscaling, increasing efficiency with open source digital data sources. Satellite data integration, maximizing analysis and comprehensive blue economy potential efficiency.
Application of Induced Polarization and Resistivity to the Determination of the Location of Minerals in Extrusive Rock Area, Southern Mountains of Java, Indonesia Saparun, Moh; Akbar, Rajabal; Marbun, Mahmuddin; Dixit, Aparna; Saxena, Arti
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 3 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v1i3.137

Abstract

Mountainous areas often have a lot of natural wealth. The existence of geological appearances in the form of outcrops which are products of intrusion and alteration, indicates that the Pacitan area is a mineralized zone. In this study, geophysical measurements were carried out using the Induced Polarization (IP) method in the area where mineralization was suspected. The polarization induction method is expected to prove the presence of a mineralized zone in the Pacitan area. From the research results, line 1, line 4, line 5, line 6 and line 7 are areas with high chargeability values. So it can be proven that the area with high resistivity and high chargeability is an area with mineralization. Judging from the geological conditions on the surface, there are also outcrops which show that there is an intrusion and the result of alteration. So it can be concluded that the area has a fairly high mineralization. In measuring the correlation between magnetic anomalies and IP, the results are very supportive of each other that the area is a mineralized area, if we look at the resistivity, and chargebility.
Antibiotic resistance patterns of staphylococcus aureus in chicken farms: Implications for health resilience in Indonesia Rahayu, Tiara; Amarullah, M Ridhwan; Yabansabra, Alexander; Dixit, Aparna; Syazali, Muhamad; Hermana, Nabila Swarna Puspa
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 Natio
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.
Analysis of Sr2Mg (BO3)2Tb3+ Green Emitting Phosphor for Solid State Lighting: Implication for Light Emitting Diode (LED) Panse, Vishal R; Rahate, Gaurav; Saregar, Antomi; Kaur, Manmeet; Dixit, Aparna
International Journal of Electronics and Communications Systems Vol. 1 No. 1 (2021): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v1i1.9334

Abstract

With the assist of  customized step wise combustion synthesis method Sr2Mg(BO3)2: Tb3+  phosphors were synthesize along with the luminescent proprieties, XRD, chromaticity coordinates with effect of emission intensity with related with the corresponding concentration were studied. The emission spectrum of Sr2Mg(BO3)2  :Tb3+ (x=0.2 to 2 mol percent) excited by 353 nm exhibits a strong green emission among peak location at 546 nm is recognized to F-F transitions of Tb3+ 5D4-7F5 ion. This study suggest that Sr2Mg(BO3)2: Tb3+ phosphor be a prominent material as a green constituent for phosphor- transformed W-LEDs  for SSL
Modifying the DC Servo Motor Observed by Particle Swarm Optimization Techniques Saxena, Arti; Panse, Vishal R; Asyhari, Ardian; Umam, Rofiqul; Michalska-Domańska, Marta; Dixit, Aparna
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.25071

Abstract

The PID controller's optimized tuning improves the control system's functionality. This work presented the tuning of the PID/FOPID controller by the conventional Ziegler-Nichols (ZN) method and the Particle Swarm Optimization (PSO) algorithm. The PID controller is the most popular in the industry because it is simple to implement, has good computing ability, and provides a robust system. These methods are implemented on the DC servomotor system to optimize the transient responses like rise time (??), settling time (??), and peak overshoot (??) to get a better result. The PID controller tuned by the conventional ZN method gives a longer settling time, a longer rise time, and a higher peak overshoot. The PSO algorithm is utilized to overcome the significant overshoot and considerable settling time obtained in the conventional Ziegler-Nichols method. Analyzing and comparing the MATLAB simulation results, it is observed that PSO algorithms provide a better-optimized response over the ZN method with FOPID controller in respect of less rise time (?? =0.0392 sec.), less settling time (??=0.0605 sec.) and peak overshoot (??=1.92 percent). The results obtained by the proposed controller provide better reliability and better response.
The Use of Infographics As A Representation Medium to Support Students’ Understanding in Physics Learning: A Literature Review Laela, Oktavia; Dixit, Aparna
Islamic Journal of Integrated Science Education (IJISE) Vol. 4 No. 2 (2025): July
Publisher : Program Studi Tadris IPA, Fakultas Tarbiyah (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/ijise.v4i2.5940

Abstract

Physics learning is often perceived as challenging by students due to its abundance of abstract concepts and quantitative explanations. One strategy that can help facilitate understanding is the use of infographics as a visual representation medium. This study aims to identify and analyze the role of infographics in enhancing students’ comprehension of physics concepts, while also exploring their potential and challenges in secondary school settings. The method employed is a literature review of seven relevant scientific articles discussing the use of infographics in the context of physics education. The analysis was conducted by examining the key findings of each article and categorizing them based on indicators of learning benefits. The findings reveal that infographics can increase students’ learning interest, engagement, and academic performance, both in cognitive and affective domains. Furthermore, infographics are effective in fostering students’ creativity through the implementation of project-based learning models and problem-based approaches. Identified challenges include teachers’ limited skills in designing effective infographics and the availability of supporting resources. Overall, the use of infographics holds significant potential as an innovative strategy to visually represent scientific information and improve the quality of physics learning in secondary schools.
Dynamic Virtual Environment Synthesis: Leveraging Machine Learning for Real-Time 3D Object Integration in VR Spaces Pathak, Anshuman; Singh, Anmol Deep; Saregar, Antomi; Dixit, Aparna; Dewalkar, S. V.; Panse, V. R.
International Journal of Electronics and Communications Systems Vol. 5 No. 1 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i1.28137

Abstract

Existing VR environments relies on static asset libraries and predesigned scenarios, which limits personalization and fails to account for diverse user needs. This paper aims Dynamic Virtual Environment Synthesis (DVES), a new framework based on machine learning to generate and control a large library of 3D objects for real-time creation and context-aware adaptation. The research method categorizes the system design into five main components: data collection, preprocessing and annotation, machine learning model training, VR environment integration, and user interaction. DVES allows users to customize VR spaces through natural language, gestures, or biometric feedback, harnessing generative models for creating objects, reinforcement learning for adaptive environments, and neural rendering for adding realism, building foundation for the next-gen entertainment ecosystem. DVES improves gaming, training, therapy, and education by mediating static design and real-time systems. Unlike the existing conventional VR systems which depends on the static and prebuilt scenes, DVES continuously learns from user interactions, enabling the system to evolve dynamically. This novel study investigates scalability, real-time performance, and natural interfaces and provides insights into future applications, giving a custom VR experience to the users. In long term, DVES could serve as a foundation for fully autonomous VR ecosystems, creating a personalized and immersive digital experience. The study ensures transitioning VR from static, predesigned systems to self-sustaining, user-driven digital worlds.
Co-Authors Abdurrazzaq, Achmad Aghnyn, Mutiara Akbar, Rajabal Amarullah, M Ridhwan Antomi Saregar Ardian Asyhari Brahme, Nameeta Dewalkar, S. V. Hadap, Arti Hermana, Nabila Swarna Puspa Laela, Oktavia Mahmuddin Marbun Manmeet Kaur Michalska-Domańska, Marta Muhamad Syazali Panse, V. R. Panse, Vishal R Pathak, Anshuman Rachmawati, Rofah Nur Rahate, Gaurav Rahayu, Tiara Rofiqul Umam Saparun, Moh Saxena, Arti Singh, Anmol Deep Yabansabra, Alexander