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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.

Estimation of Distribution Function Parameters for Cases of Risk of Mortality Rate due to Malnutrition and Unhealthy Sanitation in Indonesia Saputra, Moch Panji Agung; Megantara, Tubagus Robbi; Fitri, Sulidar
International Journal of Global Operations Research Vol. 3 No. 1 (2022): International Journal of Global Operations Research (IJGOR), February 2022
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v3i1.117

Child undernutrition is a significant problem in Indonesia; persistently high rates of stunting, underweight and wasting. Data about malnutrition and sanitation that taken for this research is data of age-standardized death rate, measured per 100,000 individuals from unsafe sanitation and malnutrition in Indonesia. The purpose of this research is to determine the distribution function and estimate the parameter distribution, so the values can provide identification of risk events. The method used for this research is Maximum Likelihood Estimation (MLE) and Newton Raphson iterations. The distribution function formed is gamma and Generalized Pareto Distribution (GPD), respectively for sanitation and malnutrition problems in Indonesia. The projected probability of occurrence of the risk of death due to malnutrition tends to be low in the future. So that the risk classification of the mortality rate due to malnutrition is considered low based on the results of the probability distribution approach on the GPD function. While, the projected probability of occurrence of the risk of death due to sanitation tends to decrease in the future. Based on the graph, the risk value with a high probability is around 20. So, the risk classification of the mortality rate due to malnutrition is considered moderate based on the results of the probability distribution approach on this gamma function.

Modeling of COVID-19 Growth Cases in Bandung Regency and Bandung City Using Vector Autoregression Megantara, Tubagus Robbi; Hidayana, Rizki Apriva; Syarifudin, Abdul Gazir; Amelia, Rika; Nurkholipah, Nenden Siti
International Journal of Global Operations Research Vol. 5 No. 4 (2024): International Journal of Global Operations Research (IJGOR), November 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i4.342

COVID-19 is a global health epidemic due to increasing infections and deaths. Indonesia has many confirmed cases with high daily case growth, including the Bandung City and Bandung Regency areas. High mobility between regions can impact the growth of COVID-19 cases. Strategies to prevent the growth of COVID-19 cases need to be carried out by considering the growth of COVID-19 cases in the nearest area. The Vector Autoregression (VAR) model is a forecasting model that can consider geographic impacts. This study aims to model the growth of cases in adjacent areas and have high mobility using the VAR method. The growth of COVID-19 cases in Bandung City and Bandung Regency is integrated into the VAR model to see the impact of each other. The VAR model also considers the impact of case growth in the past on its region's future. Transformation and differencing are carried out on the time series of case growth in each region to achieve time-series stationarity so that the VAR model can be carried out. First-order VAR becomes a model representing the growth of COVID-19 cases in Bandung City and Bandung Regency. The model shows that COVID-19 cases in each region will decrease over time and each region impacts each other. Decreasing cases growth can be caused because people who have been infected and vaccinated have sound immune systems to prevent re-infection. However, prevention still needs to be done to stop the pandemic. Therefore, restrictions on mobility between regions can be used as a strategy to prevent COVID-19 infection.

Matching Riders to Drivers Under Uncertain Wait Times in Ride-Hailing Systems: A Robust Optimization Approach with Box Uncertainty Megantara, Tubagus Robbi; Hidayana, Rizki Apriva
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 2 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i2.202

The advent of ride-hailing systems has revolutionized urban mobility, yet efficient vehicle assignment remains challenging due to inherent uncertainties in passenger waiting times. This study addresses the ride-hailing matching problem under uncertain wait times, proposing a robust optimization model with a box uncertainty set to mitigate the impact of variability in service delivery. We first contextualize the problem by examining the evolution of transportation systems, emphasizing how ride-hailing services complicate traditional matching paradigms. Existing approaches often fail to account for real-world unpredictability, leading to suboptimal assignments. To bridge this gap, we formulate a data-driven robust optimization framework that bounds waiting time fluctuations within a box uncertainty set, ensuring reliable performance under worst-case scenarios. Using simulation data from Manhattan taxi trips, we compare our robust model against deterministic benchmarks, demonstrating its superiority in reducing average waiting times and enhancing system reliability, even under high uncertainty. Our results highlight the practical viability of robust optimization for ride-hailing platforms operating in dynamic environments.

Technology-Based Interactive Mathematics Learning: A Case Study of Community Service Activities at SMA PGRI Cicalengka Syarifudin, Abdul Gazir; Amelia, Rika; Hidayana, Rizki Apriva; Megantara, Tubagus Robbi; Kholipah, Nenden Siti Nur
International Journal of Research in Community Services Vol 6, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.931

The This community service activity was conducted through collaboration between the Mathematics Study Program of the Republic of Indonesia National University and SMA PGRI Cicalengka, involving 80 participants consisting of 12th-grade students. The one-day program aimed to enhance students' understanding of mathematics applications in science and technology (IPTEK), including programming algorithm simulations, through interactive lectures. The sessions focused on developing logical thinking, strategic problem-solving skills, and awareness of mathematics' role in daily life. The event began with an opening ceremony attended by school representatives, faculty members, and university officials. Two main sessions were delivered: the first covered practical applications of mathematics in everyday contexts, while the second highlighted its role in advancing IPTEK through online gaming. Active participation was observed during Q&A sessions. The program concluded with a satisfaction survey, with results analyzed and published as part of the activity's outcomes. Overall, this initiative successfully introduced students to the interdisciplinary relevance of mathematics while fostering engagement through interactive learning. Follow-up evaluations will assess its impact on strengthening students' appreciation of mathematics in technological and real-world applications.

Forecasting the Unseen: A Stationary Distribution Approach to Earthquake Magnitude Prediction in Bengkulu Megantara, Tubagus Robbi; Hidayana, Rizki Apriva
International Journal of Global Operations Research Vol. 6 No. 2 (2025): International Journal of Global Operations Research (IJGOR), May 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i2.379

Long-term forecasting of earthquake magnitudes plays a vital role in seismic hazard assessment and disaster mitigation, particularly in highly active seismic regions such as Bengkulu, Indonesia. This study introduces a probabilistic framework based on the stationary distribution of discrete-time Markov chains to predict the likelihood of various earthquake magnitudes over an extended period. Historical earthquake records from Bengkulu are categorized into discrete magnitude classes to form the states of the Markov chain. Transition probabilities between these states are estimated from the data, allowing for the construction of a transition matrix that accurately reflects the temporal dynamics of seismic activity. By analyzing the stationary distribution of this Markov chain, we derive the long-term probabilities of occurrence for each magnitude class, revealing inherent patterns in earthquake magnitudes that are otherwise difficult to capture with traditional methods. The stationary distribution serves as a stable, time-independent descriptor of the seismic regime, providing insights into the expected distribution of earthquake magnitudes in the future. The results indicate that this approach not only captures the probabilistic behaviour of seismic magnitudes but also offers a computationally efficient and interpretable model for earthquake forecasting. This modelling technique complements existing seismic hazard assessments and has practical implications for risk management and emergency preparedness in Bengkulu and other seismically active areas. Future research will explore the integration of spatial factors and earthquake depth to further enhance prediction accuracy.

Technology-Based Interactive Mathematics Learning: A Case Study of Community Service Activities at SMA PGRI Cicalengka Syarifudin, Abdul Gazir; Amelia, Rika; Hidayana, Rizki Apriva; Megantara, Tubagus Robbi; Kholipah, Nenden Siti Nur
International Journal of Research in Community Services Vol. 6 No. 2 (2025)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.931

The This community service activity was conducted through collaboration between the Mathematics Study Program of the Republic of Indonesia National University and SMA PGRI Cicalengka, involving 80 participants consisting of 12th-grade students. The one-day program aimed to enhance students' understanding of mathematics applications in science and technology (IPTEK), including programming algorithm simulations, through interactive lectures. The sessions focused on developing logical thinking, strategic problem-solving skills, and awareness of mathematics' role in daily life. The event began with an opening ceremony attended by school representatives, faculty members, and university officials. Two main sessions were delivered: the first covered practical applications of mathematics in everyday contexts, while the second highlighted its role in advancing IPTEK through online gaming. Active participation was observed during Q&A sessions. The program concluded with a satisfaction survey, with results analyzed and published as part of the activity's outcomes. Overall, this initiative successfully introduced students to the interdisciplinary relevance of mathematics while fostering engagement through interactive learning. Follow-up evaluations will assess its impact on strengthening students' appreciation of mathematics in technological and real-world applications.

Forecasting Rice Sales Using Weighted Moving Average Method: Case Study at KAKANG MART GROSIR Bandung Nurkholipah, Nenden Siti; Megantara, Tubagus Robbi; Hidayana, Rizki Apriva
International Journal of Global Operations Research Vol. 6 No. 3 (2025): International Journal of Global Operations Research (IJGOR), August 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i3.395

Effective inventory management is critical for retail businesses, and accurate sales forecasting is its cornerstone, especially for staple products like rice. This study aims to forecast the sales of packaged rice at KAKANG MART GROSIR, a major retailer in Bandung, by analyzing its daily sales data. The research utilizes the Weighted Moving Average (WMA) method on primary sales data for six top-selling rice brands collected over a three-month period from March 1 to May 31, 2025. The WMA model, which assigns greater importance to recent observations, was employed to smooth short-term fluctuations and identify underlying sales trends. The analysis revealed highly dynamic and distinct sales patterns: the JM Cianjur brand showed the highest average sales but with significant weekly volatility , the Setrawangi RS brand demonstrated strong and consistent growth to become a market leader , while the Setrawangi DI brand experienced a sharp decline. Furthermore, the BMW brand was found to have remarkably stable and predictable sales , whereas the Lahap and Sedap Wangi brands consistently remained at the lowest sales tier. The findings confirm that the WMA is a valuable tool for identifying diverse sales trajectories, providing actionable insights for developing tailored inventory strategies for each product.

Empowering High School Students with Software-Based Mathematical Skills for College and Career Readiness Megantara, Tubagus Robbi
International Journal of Research in Community Services Vol. 6 No. 4 (2025): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i4.1069

In the current data-driven era, data literacy is a critical competency, yet many high school students lack practical training in essential software like Microsoft Excel, creating a significant skills gap. To address this challenge, the Mathematics Study Program at Universitas Kebangsaan Republik Indonesia conducted a community service program designed to empower high school students with foundational data analysis and visualization skills through a structured, hands-on Excel workshop. The program employed a phased approach, beginning with a socialization session for 31 students, followed by an intensive training workshop for a final cohort of 12 students. The workshop was segmented into three progressive modules: Foundations of Data Management, Logical Analysis and Data Interpretation, and Data Visualization. The program's effectiveness was evaluated using qualitative performance-based assessments and a feedback survey to measure changes in skill and confidence. The results indicate that the training was highly successful, demonstrably improving participants' competence and confidence as evidenced by overwhelmingly positive survey feedback. The foundational and data visualization modules were particularly effective, while the module on logical functions was identified as the most significant challenge for students. This initiative not only succeeded in delivering essential digital skills for college and career readiness but also offered valuable pedagogical insights, confirming the effectiveness of hands-on workshops and highlighting areas for refinement in technical education.

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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