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Hidayana, Rizki Apriva

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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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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.

Utilizing Augmented Reality Media to Enhance Students’ Motivation and Spatial Thinking in 3D Geometry Learning Saputra, Moch Panji Agung; Hidayana, Rizki Apriva; Azahra, Astrid Sulistya
International Journal of Ethno-Sciences and Education Research Vol. 5 No. 3 (2025): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i3.1040

This study explores the effectiveness of Augmented Reality (AR) learning media to improve students' spatial ability and learning motivation in spatial building material. In the era of digital transformation of education, AR offers interactive 3D visualization that is crucial for understanding abstract concepts and manipulating objects virtually. This quasi-experimental study used a pretest-posttest control group design on 60 junior high school students, with spatial ability test instruments and ARCS motivation questionnaires. The results showed a significant increase in the spatial ability of the experimental group (AR) with an average difference of +27.07 points and Cohen's d 1.82 (very large effect), far exceeding the control group (+15.06 points). All dimensions of student learning motivation also increased significantly in the AR group, with a total average of 84.67 and Cohen's d 1.45 (large effect), overcoming the boredom of conventional learning. This increase was due to the interactivity, visual aesthetics, and immersive experience of AR that supports embodied cognition. It was concluded that AR media is very effective in improving students' spatial competence and active engagement, making it a meaningful innovative learning tool.

Sustainable Cultural Tourism Development Strategy in Karuhun Eco Park Village, Sumedang Regency, West Java, Indonesia Ratnasari, Dewi; Tiswaya, Waway; Riaman, Riaman; Sukono, Sukono; Hidayana, Rizki Apriva; Laksito, Grida Saktian
International Journal of Business, Economics, and Social Development Vol. 6 No. 3 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i3.989

The development of cultural arts tourism as a sustainable tourism destination is a priority considering the features and nature of these locations, which highlight a number of elements such the local economy, environment, culture, preservation, and community empowerment. One of the cultural tourism areas in Indonesia, to be precise the province of West Java, namely Kampung Ladang in Sumedang Regency which is located at the top of Pasir Peti hill - Marga Laksana Sumedang Village. Kampung Ladang is one of Sumedang's cultural tourism centres by collaborating with the local community to maintain and preserve traditional Sundanese culture and procedures, especially Sumedang culture and traditions. This research uses qualitative methods and uses IFAS / EFAS and SWOT Analysis which aims to identify the potentials developed by Kampung Ladang with data collection carried out by observation, indepth interviews, and documentaries. The results of this study indicate that Kampung Ladang has three potentials that are ready to be developed in attracting tourists to visit such as potentials that need to be improved, namely attractions and activities, external supporting potentials, namely accessibility infrastructure consisting of information boards and other supporting facilities, and potentials that are not yet available, namely the provision of tour packages through marketing and promotion strategies that can attract tourists to visit and can develop community-based sustainable tourism that is community-centred to improve community welfare, besides that government support is needed in carrying out development and maintenance. In order to meet the needs of travellers, businesses, the environment, and tourism management communities, among other stakeholders, sustainable tourism management is a type of tourism management that will play a significant role in both the present and the future economic and social conditions.

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.

Comparative Analysis of Activation Functions in LSTM Models for Predicting Bank BNI Stock Prices Azahra, Astrid Sulistya; Saputra, Moch Panji Agung; 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.v6i3.396

The Indonesian capital market has experienced rapid development in the last two decades, with the banking sector as one of the main drivers. Stock price prediction is a crucial aspect for investors and market players to minimize risk and optimize investment strategies. Price fluctuations influenced by fundamental factors, market sentiment, and external conditions make prediction a complex challenge. This study aims to compare the performance of four activation functions: Rectified Linear Unit (ReLU), hyperbolic tangent (Tanh), Sigmoid, and Softplus, in the Long Short-Term Memory (LSTM) model in predicting the stock price of Bank Negara Indonesia (BNI). The method used is a quantitative approach with experiments, using historical data of BNI's closing stock prices for the period May 1, 2020, to April 30, 2025, obtained from Yahoo Finance. The data is processed through cleaning, normalization, transformation into a supervised learning format, and division into training data (80%) and test data (20%). Performance evaluation is carried out using RMSE, MAE, MAPE, and R² metrics. The results showed that the Softplus activation function produced the best performance with RMSE 128.714, MAE 101.815, MAPE 2.358%, and R² 0.924, followed by ReLU which had competitive performance and more efficient training time. The Tanh activation function was in the middle position, while Sigmoid showed the lowest performance. These findings indicate that Softplus and ReLU are optimal choices for BNI stock price prediction using LSTM, with Softplus excelling in accuracy and ReLU providing a balance between performance and efficiency.

Implementation of Ruin Probability Model in Life Insurance Risk Management Lianingsih, Nestia; Hidayana, Rizki Apriva; Saputra, Moch Panji Agung
International Journal of Quantitative Research and Modeling Vol. 5 No. 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.816

This study examines the implementation of the ruin probability model in risk management in life insurance companies. The main focus of this study is to evaluate how factors such as initial surplus, premium revenue level, and claim frequency affect the ruin probability of insurance companies. Using the collective risk model approach and relevant claim distribution, this study develops two methods to calculate the ruin probability: an analytical approach and a Monte Carlo simulation. The simulation results show that increasing the initial surplus and premium level significantly reduces the ruin risk, while increasing the claim frequency increases the ruin probability. In addition, the gamma claim distribution is more suitable for modeling claims in life insurance than the exponential distribution. Model validation is carried out by comparing the prediction results with historical data of insurance companies, which shows a high level of accuracy. This study provides important insights for insurance companies in designing more effective and optimal risk management strategies.

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.

Application of Genetic Algorithm on Knapsack Problem for Optimization of Goods Selection Hasanah, Indah Mauludina; Mulyo, Lukman Widoyo; Khan, Muhammad Fardeen; 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.v6i2.1020

Knapsack Problemis one of the combinatorial optimization problems that often arise in everyday life, especially in making decisions about selecting goods with limited capacity. This study combines two previous studies that apply genetic algorithms to real cases: the selection of basic necessities and packaged fruits in limited containers. Genetic algorithms are used because they are flexible and able to find more than one optimal solution. The process includes the formation of an initial population, fitness evaluation, selection (roulette wheel), crossover, and mutation. From the two case studies analyzed, it was found that genetic algorithms consistently produce increased fitness between generations and are able to maximize the value of goods without exceeding capacity or budget limits. This study strengthens the potential of genetic algorithms as an effective method in solving Knapsack Problems based on real needs.

Determination of Collective Premiums for Seven Benefits of BPJS Employment Insurance JKK Program Using Poisson-Normal Aggregate Distribution Maghfirani, Nazla Aqira; Hidayana, Rizki Apriva
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.877

Work Accident Insurance (JKK) is one of the programs of the Social Security Administering Agency (BPJS) for Employment. Insurance brokers need to make an initial estimate of the premium to determine the collective premium for JKK. Premium calculations can be done using the aggregate distribution method. The total loss of the insurance policy can be owned by the random variable of the aggregate distribution. In calculating the premium using the aggregate distribution, one of the principles that can be used is the standard deviation principle. Based on this principle, the amount of the premium can be calculated by the standard deviation of the aggregate distribution. This study uses the aggregate Poisson-Normal distribution to calculate the collective premium based on the seven benefits of the JKK BPJS Ketenagakerjaan Bojongsoang program. The data used are the number of claim events and the number of claims from the seven benefit claims of JKK BPJS Ketenagakerjaan Bojongsoang participants for the 2022 period. The principle used in calculating the collective premium with the aggregate distribution is the standard deviation principle. The results of the analysis show that the Poisson distribution is followed by claim frequency data and the Normal distribution is followed by the amount of the claim. This study shows that the amount of collective premium calculated tends to be greater than the amount of collective premium sourced from existing data of BPJS Ketenagakerjaan Bojongsoang company. It is expected for insurance brokers and insurance companies to consider this study.

Analysis of Economic Growth and Tourism Potential in Tanjung Lesung, Panimbang, Banten as a Creative Economy Destination Hidayana, Rizki Apriva; Lestari, Mugi
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.879

Tanjung Lesung, located in Pandeglang Regency, Banten, has been designated as a Special Economic Zone (SEZ) for Tourism with the aim of encouraging regional economic growth and improving community welfare. This study analyzes the impact of SEZ on the local economy using qualitative and quantitative approaches. Data were obtained through in-depth interviews, surveys, field observations, and documentation studies. The results of the study indicate that the Tanjung Lesung SEZ has contributed positively to increasing community income by 52% and reducing the unemployment rate by 33%. In addition, investment in the tourism sector encourages business growth in the hospitality, culinary, and tourism services sectors. However, the development of SEZ also faces several challenges, such as limited infrastructure, readiness of local workers, and social and environmental impacts. Limited infrastructure, especially transportation access, is an obstacle in supporting the growth of the tourism sector. In addition, many local workers do not yet have the skills needed by the tourism industry. Environmental impacts, such as increasing waste volume and conversion of agricultural land, are also major concerns. Therefore, a comprehensive strategy is needed through improving infrastructure, strengthening human resource capacity, and implementing sustainable environmental management policies. With the right steps, Tanjung Lesung Special Economic Zone can become a successful model for inclusive and sustainable tourism-based economic development in Indonesia.

Co-Authors Abdul Gazir Syarifudin Agustin, Nemia Amal, Moh Alfi Amelia, Rika Azahra, Astrid Sulistya Chairunnisa, Nadine Zahra Daulay, Syifa Nur Rasikhah Dewi Ratnasari Fajrin, Anita Megawati Halim, Nurfadhlina Abdul Haq, Fadiah Hasna Nadiatul Harahap, Reivani Putri Berlinda Hasanah, Indah Mauludina Herlina Napitupulu Hidayati, Desi Ibrahim, Riza Andrian Ida Widiawati, Ida Irmansyah, Athaya Zahrani kalfin Kalfin Kalfin, Kalfin Khan, Muhammad Fardeen Kholipah, Nenden Siti Nur Kisti, Vuji Annisa Laksito, Grida Saktian Lianingsih, Nestia Maghfirani, Nazla Aqira Manuela, Angellyca Leoni Megantara, Tubagus Robbi Megantara, Tubagus Robby Meizani, Nicko Mugi Lestari, Mugi Mulyo, Lukman Widoyo Nenden Siti Nurkholipah, Nenden Siti Pirdaus, Dede Irman Riaman Riaman, Riaman Rini Cahyandari Saefullah, Rifki Saputra, Jumadil Sidiq, Fahmi Sukono Sukono Tiswaya, Waway Widayani, Wiwin Wulan Anggraeni, Wulan Yakubu, Usman A. Yoefitri, Tina Yohandoko, Setyo Luthfi Okta Yuningsih, Siti Hadiaty

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