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Senior High School Students' Knowledge of The Role of Mathematics in The Development of Science and Technology Amelia, Rika; Hidayana, Rizki Apriva; Syarifudin, Abdul Gazir; Megantara, Tubagus Robbi; Kholipah, Nenden Siti Nur; Chairunnisa, Nadine Zahra; Manuela, Angellyca Leoni
International Journal of Research in Community Services Vol 6, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i1.813

Mathematics plays a significant role in developing science and technology (also known as IPTEK in Indonesian). However, students' understanding of the contribution of mathematics to the progress of IPTEK still needs to be improved. This study examines the knowledge of senior high school students (also known as SMA in Indonesian) regarding the role of mathematics in developing IPTEK. The method used is a quantitative survey, and questionnaires were distributed to SMA PGRI Cicalengka students. The data obtained were analyzed to determine the level of students' understanding of the relationship between mathematics and its applications in various fields of science, such as physics, biology, and technology. The study results showed that although most students understand mathematics is important in IPTEK, most still need to learn its specific applications in modern technology and scientific innovation. This study suggests the need for more contextual and applicable learning about the role of mathematics in the development of IPTEK so that students can better appreciate and understand the contribution of mathematics in everyday life.

Optimization Model in Transportation Based on Linear Programming Manuela, Angellyca Leoni; Harahap, Reivani Putri Berlinda; Yoefitri, Tina; Meizani, Nicko; Hidayana, Rizki Apriva
International Journal of Quantitative Research and Modeling Vol 6, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i2.1018

This study discusses the development of optimization models in transportation costs and routes and resource distribution based on Linear programming using various methods. This study aims to improve logistics efficiency, maximize the utilization of transportation equipment, infrastructure, operations management, and minimize transportation costs. The methods used include data collection, data processing, and the application of mathematical models to determine the optimal route with iteration methods such as the Simplex Method or Simplex Algorithm (SIMPLEKS), Modified Distribution Method (MODI), Vogel's Approximation Method (VAM), North-West Corner Method, Least Cost Method, and Initial Cost Minimum Method (ICMM). This study successfully shows that this method is able to reduce the cost of reducing carbon emissions, significantly reduce shipping costs and increase the efficiency of goods distribution that can be applied to complex distribution systems, support efficiency, and sustainability of transportation management. Using Linear programming and transportation methods to reduce SME costs and produce more efficient costs and fast solutions. In general,optimizationThis supports economic development, efficiency and sustainability of transportation management.

Optimal Control of Tungro Disease Spread by Considering Growth Phase and Roguing Control Amelia, Rika; Anggriani, Nursanti; Rosiman, Rosiman; Syarifudin, Abdul Gazir; Chairunnisa, Nadine Zahra; Manuela, Angellyca Leoni
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36776

Tungro disease poses a serious threat to rice cultivation, as it is caused by a viral infection transmitted by green leafhoppers. This study develops a mathematical model to describe the spread of tungro disease by incorporating plant growth phases and control measures such as roguing. The model divides the system into two subpopulations: plants (susceptible and infected in both vegetative and generative phases) and vectors (susceptible and infected). Dynamic analysis identifies two equilibrium conditions, namely a disease-free state and an endemic state. The disease-free equilibrium is stable when the basic reproduction number is less than one, whereas the endemic equilibrium becomes stable when the reproduction number exceeds one. Sensitivity analysis using the Partial Rank Correlation Coefficient method shows that the infectivity rate and the roguing rate are the most influential parameters affecting disease transmission. An optimal control framework based on Pontryagin’s Maximum Principle is then applied to determine the most effective roguing and vector control strategies. Simulation results indicate that applying roguing during the vegetative phase markedly reduces the number of infected plants and suppresses disease spread. These findings demonstrate that combining dynamic modeling, sensitivity analysis, and optimal control provides an effective and efficient strategy for managing tungro disease in rice crops.

Optimization Model in Transportation Based on Linear Programming Manuela, Angellyca Leoni; Harahap, Reivani Putri Berlinda; Yoefitri, Tina; Meizani, Nicko; Hidayana, Rizki Apriva
International Journal of Quantitative Research and Modeling Vol. 6 No. 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i2.1018

This study discusses the development of optimization models in transportation costs and routes and resource distribution based on Linear programming using various methods. This study aims to improve logistics efficiency, maximize the utilization of transportation equipment, infrastructure, operations management, and minimize transportation costs. The methods used include data collection, data processing, and the application of mathematical models to determine the optimal route with iteration methods such as the Simplex Method or Simplex Algorithm (SIMPLEKS), Modified Distribution Method (MODI), Vogel's Approximation Method (VAM), North-West Corner Method, Least Cost Method, and Initial Cost Minimum Method (ICMM). This study successfully shows that this method is able to reduce the cost of reducing carbon emissions, significantly reduce shipping costs and increase the efficiency of goods distribution that can be applied to complex distribution systems, support efficiency, and sustainability of transportation management. Using Linear programming and transportation methods to reduce SME costs and produce more efficient costs and fast solutions. In general,optimizationThis supports economic development, efficiency and sustainability of transportation management.

Senior High School Students' Knowledge of The Role of Mathematics in The Development of Science and Technology Amelia, Rika; Hidayana, Rizki Apriva; Syarifudin, Abdul Gazir; Megantara, Tubagus Robbi; Kholipah, Nenden Siti Nur; Chairunnisa, Nadine Zahra; Manuela, Angellyca Leoni
International Journal of Research in Community Services Vol. 6 No. 1 (2025)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i1.813

Mathematics plays a significant role in developing science and technology (also known as IPTEK in Indonesian). However, students' understanding of the contribution of mathematics to the progress of IPTEK still needs to be improved. This study examines the knowledge of senior high school students (also known as SMA in Indonesian) regarding the role of mathematics in developing IPTEK. The method used is a quantitative survey, and questionnaires were distributed to SMA PGRI Cicalengka students. The data obtained were analyzed to determine the level of students' understanding of the relationship between mathematics and its applications in various fields of science, such as physics, biology, and technology. The study results showed that although most students understand mathematics is important in IPTEK, most still need to learn its specific applications in modern technology and scientific innovation. This study suggests the need for more contextual and applicable learning about the role of mathematics in the development of IPTEK so that students can better appreciate and understand the contribution of mathematics in everyday life.

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