Proceeding of The International Conference on Mathematical Sciences, Natural Sciences, and Computing
Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing, Its a collection of papers or scientific articles that have been presented at the National Research Conference which is held regularly every two years by the Asosiasi Riset Ilmu Matematika dan Sains Indonesia.The paper topics published in the Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing the sub-groups of Natural Sciences, Mathematics, Earth and Space Sciences and other relevant fields and Published 2 times a year, in June and December.
Articles
20 Documents
<![CDATA[DEVELOPMENT OF BATIK ORNAMENTAL MOTIFS THROUGH THE LEGEND OF RAWAPENING LAKE ]]>
<![CDATA[Ridha Sarwono]]>;
<![CDATA[Ardyansyah Nur Syarif Hidayatullah]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences, ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i2.23
<![CDATA[: This research aims to develop batik ornamental motifs inspired by the legend of Rawapening Lake, a folklore from Central Java. Through a qualitative-descriptive approach, this research identifies key elements of the legend that can be applied in batik motif design. Data were collected through in-depth interviews with batik artisans and cultural experts as well as related literature studies. The results show that ornamental motifs developed from the elements of the legend of Lake Rawapening not only enrich the variety of batik motifs, but also have the potential to enhance local cultural appreciation and the creative economy in the area.]]>
<![CDATA[The Role of the Picture and Picture Method in Developing Students' Creative Thinking Skills ]]>
<![CDATA[Alberth Supriyanto Manurung]]>;
<![CDATA[Abdul Halim]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences, ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i2.24
<![CDATA[This ponder points to decide the part of the advancement and application of the Picture and Picture Strategy in creating students' Inventive considering abilities in numerical story issues. The consider was conducted within the odd semester of 2023/2024 with 27 Rudimentary School Instruction understudies in semester V as inquire about subjects. The study was conducted employing a subjective investigation strategy with information collection through perception, interviews and documentation. The Picture and Picture Strategy is connected through learning stages, to be specific preparing understudies to utilize different concepts, standards and aptitudes that they have learned to illuminate the numerical story issues they confront. The comes about of the ponder appear that the Picture and Picture Strategy has an affect on the advancement of Imaginative considering aptitudes, since the comes about of inquire about perceptions on Imaginative considering abilities deliver the capacity to recognize, assess, and resolve story challenges and reason reasonably and morally and be able to draw conclusions. The Picture and Picture Strategy gives understudies with the opportunity to apply learning based on fathoming scientific story issues, giving understudies with the opportunity to create Imaginative considering aptitudes.]]>
<![CDATA[The Role of Teachers in Preventing Bullying in Schools Through Collaborative Art Education ]]>
<![CDATA[Lisna Hikmawaty]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences, ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i2.25
<![CDATA[Bullying among students is a serious issue that impacts their mental, physical, and social well-being and disrupts learning activities at school. This study aims to explore the role of teachers in preventing bullying in schools through collaborative art education, utilizing a case study approach at an elementary school. Collaborative art was chosen as a method due to its potential to encourage positive interactions and empathy development among students. Data were collected through classroom observations, in-depth interviews with teachers, and focus group discussions with participating students. The results indicate that teacher-facilitated collaborative art effectively reduces bullying behaviors, fosters harmonious relationships among students, and enhances social skills and empathy. In conclusion, collaborative art education shows promise as a preventive method against bullying, and it is recommended for broader integration as part of character education strategies in schools.]]>
<![CDATA[Blending Cultural Heritage with Digital Design : A New Era in Pottery Motifs and Art ]]>
<![CDATA[Yuniana Cahyaningrum]]>;
<![CDATA[Sekar Kinanthi]]>;
<![CDATA[A’imatul Magfiroh]]>;
<![CDATA[Dani Eka Ramdhani]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences, ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i2.26
<![CDATA[The fusion of cultural heritage and digital technology has opened up new opportunities in the art of motifs and pottery making. This article explores design innovations that utilize digital technology to recreate traditional motifs in ceramic crafts. The research examines how techniques such as parametric design, 3D printing, and virtual reality can be used to preserve, adapt, and introduce cultural motifs to a wider audience. Case studies from several traditional artisan communities are analyzed to understand the impact of technology on the creative process, production efficiency, and preservation of cultural values. The results show that the integration of digital technology not only increases design flexibility but also strengthens the connection between tradition and modern innovation. This article provides important insights into the role of digital technology in fostering the sustainability of traditional crafts, while motivating future cross-disciplinary collaborations.]]>
<![CDATA[The Need Analysis of E-Module Development Combined with KingDraw Application on Isomer Material at SMA Al Islam 1 Surakarta ]]>
<![CDATA[Nisa Nur Hayati]]>;
<![CDATA[Sentot Budi Rahardjo]]>;
<![CDATA[Endang Susilowati]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences, ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i2.29
<![CDATA[This research was conducted with the aim of analyzing the need for the development of a chemistry e-module combined with the KingDraw application on isomer material at SMA Al Islam 1 Surakarta. This study uses a survey methodology with a qualitative approach. Data were obtained from interviews with chemistry teachers and the results of filling out questionnaires by 84 students. The results of this study indicate that teachers have not developed technology-based teaching materials that can help students in learning chemistry. The teaching materials used are in the form of textbooks containing writings and several two-dimensional images. Thus, it can be said that learning is still conventional and has not followed the development of the digitalization era. This is indicated by the minimal use of technology in learning activities. In learning, teachers only rely on lecture and discussion methods. Therefore, it can be concluded that the development of a chemistry e-module collaborated with the KingDraw application needs to be implemented to motivate students to learn and improve their understanding of chemical concepts independently. This module can also be used anytime and anywhere.]]>
<![CDATA[A Mathematical Model for Analyzing the Spread of Infectious Diseases Using Differential Equations ]]>
<![CDATA[Olufemi Adeyemi]]>;
<![CDATA[Adebayo Ayodele]]>;
<![CDATA[Folake Olanrewaju]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Mathematical Sciences, Nat ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i1.36
<![CDATA[The spread of infectious diseases has become a critical issue in public health, requiring effective mathematical models to understand and control their dynamics. This study aims to develop a mathematical model based on differential equations to analyze the transmission patterns of infectious diseases. By dividing the population into distinct compartments—susceptible, infected, and recovered—this model provides a framework to study disease progression. The methodology involves formulating a system of ordinary differential equations to represent interactions among these compartments, followed by numerical simulations to explore key parameters influencing disease spread. The findings reveal significant insights into the role of infection rate, recovery rate, and basic reproduction number in determining the outbreak's intensity and duration. These results highlight potential strategies for intervention, including vaccination and quarantine measures, to mitigate the impact of infectious diseases. The proposed model serves as a valuable tool for researchers and policymakers to predict and manage disease outbreaks, offering practical implications for public health planning.]]>
<![CDATA[Computational Approach to Solving Complex Problems in Fluid Dynamics and Thermodynamics ]]>
<![CDATA[Ali Ahmed Khan]]>;
<![CDATA[Omar Hassan Malik]]>;
<![CDATA[Usman Raza Kazmi]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Mathematical Sciences, Nat ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i1.37
<![CDATA[This paper presents a computational approach to addressing complex challenges in fluid dynamics and thermodynamics. The study begins by exploring the fundamental principles and challenges in these fields, emphasizing the importance of efficient computational methods for analyzing fluid flow and thermal behavior in various engineering applications. The primary objective is to develop a robust computational framework that integrates advanced numerical techniques and simulation tools to enhance accuracy and efficiency. The methodology involves implementing high-fidelity simulations using finite volume and finite element methods, validated against benchmark problems and experimental data. The findings demonstrate significant improvements in predictive capabilities, offering insights into fluid-thermal interactions under various conditions. These advancements hold practical implications for optimizing engineering systems, such as energy conversion, heat exchangers, and aerodynamics. This research contributes to the ongoing efforts to bridge theoretical knowledge and practical applications in fluid dynamics and thermodynamics.]]>
<![CDATA[The Role of Quantum Computing in Advancing Numerical Methods for Scientific Research ]]>
<![CDATA[Andres Bonifacio]]>;
<![CDATA[Emilio Aguinaldo]]>;
<![CDATA[Corazon Aquino]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Mathematical Sciences, Nat ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i1.38
<![CDATA[Quantum computing has emerged as a transformative technology with the potential to revolutionize numerical methods in scientific research. This study explores the integration of quantum algorithms to enhance the efficiency and accuracy of computational techniques used in solving complex scientific problems. The objective of this research is to investigate how quantum computing can address limitations in classical numerical methods, particularly in areas such as optimization, simulation, and data analysis. By employing quantum-enhanced algorithms, such as quantum Monte Carlo and quantum machine learning, the study demonstrates significant improvements in processing speed and solution quality. The findings highlight the capability of quantum computing to tackle challenges in high-dimensional computations and provide novel insights into scientific phenomena. These advancements have profound implications for disciplines ranging from physics and chemistry to material science and beyond, paving the way for a new era of computational-driven discoveries.]]>
<![CDATA[Optimizing Machine Learning Algorithms in Big Data Analysis for Natural Sciences Applications ]]>
<![CDATA[Abdullahi Ahmed An-Na'im]]>;
<![CDATA[Gaafar Nimeiry]]>;
<![CDATA[Nahla Mahmoud]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Mathematical Sciences, Nat ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v1i1.39
<![CDATA[Big data has revolutionized the landscape of natural sciences by providing extensive datasets that enable deeper insights and more accurate predictions. However, effectively analyzing such vast and complex data requires optimized machine learning algorithms tailored to specific applications. This study focuses on enhancing the performance of machine learning models in big data analysis for applications in natural sciences. The research aims to identify key optimization techniques, including feature selection, hyperparameter tuning, and algorithm customization, to improve model accuracy and computational efficiency. A combination of supervised and unsupervised learning approaches was applied to real-world datasets in fields such as climate science, genomics, and ecology. The findings demonstrate significant improvements in predictive accuracy and processing speed, highlighting the potential of optimized machine learning techniques in solving complex problems in natural sciences. The implications of this research extend to more efficient resource utilization and improved decision-making in scientific exploration and environmental management.]]>
<![CDATA[Designing an On-Demand Printing Service Platform: Validating a User-Centered Interface to Empower MSMEs in the Instant Economy Era ]]>
<![CDATA[Elvan Putra Pratama Ramanovanda]]>;
<![CDATA[Yoga Putra Pratama]]>
<![CDATA[ Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 2 No. 1 (2025): June: Proceeding of the International Conference on Mathematical Sciences, Natu ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Matematika dan Sains Indonesia ]]>
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DOI: 10.62383/icmsnsc.v2i1.40
<![CDATA[The on-demand economy has transformed consumer expectations, demanding fast, transparent, and efficient services. However, the MSME printing sector in Indonesia is often still hampered by manual processes that cannot meet these demands. This research aims to design and validate an on-demand printing service platform interface that acts as a digital bridge between customer demand and MSME production capacity. Using a User-Centered Design (UCD) methodology, a high-fidelity interactive prototype was designed and validated through usability testing with 20 respondents. The test results demonstrated excellent usability, with an average task completion rate of 93%, an overall relative efficiency of 91.4%, and a user satisfaction score of 88%. These results validate that the platform design focusing on instant ordering flows, real-time price calculation, and a job management dashboard for service providers successfully creates an effective and satisfying user experience. The implication of this research is a validated platform model that can serve as a catalyst for printing MSMEs to adapt to the on-demand economy, increase their competitiveness, and participate in the broader digital ecosystem.]]>
