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29,939 Article Results

Artificial intelligence driven robotic control system for personalized elderly care and foot massage

10.11591/ijres.v14.i1.pp35-47
Shripad Bhatlawande , Swati Shilaskar , Soham Akotkar , Anish Joshi , Zayd Ansari
This research presents an electronic system for providing foot massage to the elderly, along with artificial intelligence (AI) driven voice-controlled conversation bot. The problem under study focuses on the elderly age group suffering from foot related ailments, most commonly foot pain. Also, the risk of depression or anxiety is high for this age group due to social isolation. These problems are addressed by the system under discussion integrated with a voice assistant to converse with the elderly. The AI assisted conversation bot enables the elderly to make customized reminders for their timely medications and provides general updates on essential topics. The system extends to provide the elderly, foot, and calf massage controlled with mobile application. It consists of a low power motor arrangement along with a high computing system. The electronic system was subjected to trials on elderly for verification and validation of the system to assess its ability of providing users with appropriate assistance. The trials were conducted on twenty elderly, aged sixty, and above, living self-sufficiently with foot related ailment. All elderly were subjected to the conversation bot along with the foot and calves’ massage, providing subjective feedback on the system's ability to enhance their quality of life. The subjective feedback after quantification have demonstrated the ability of the system in improving their living standards.
Volume: 14
Issue: 1
Page: 35-47
Publish at: 2025-03-01

A causal model to assess the influence of supply chain 4.0 on Moroccan companies’ performance

10.11591/ijaas.v14.i1.pp111-122
Abdellah Sassi , Mohamed Ben Ali , Oumaima Oullada , Ahmed Adri
Although supply chain 4.0 (SC 4.0) has been widely adopted by major industries globally, particularly in developed countries, Moroccan industries, including key sectors like automotive and aeronautical, are just beginning to give this concept the attention it deserves, therefore, the examination of the impact of this new concept on the companies’ performance has not been presented in the literature review. This paper presents a conceptual model used to evaluate the impact of the SC 4.0 levers (purchase and supply, production, storage and distribution, and sales and after-sales) on companies’ financial and organizational performance using the statistical package for the social sciences (SPSS) version 26.0, the goal is to investigate the relationship between the SC 4.0 levers as a mean construct in one hand, and the other hand, financial and organizational performance as results constructs, the findings in this research paper confirm the significant and positive relationship between these constructs, aligning with what was cited in the literature review.
Volume: 14
Issue: 1
Page: 111-122
Publish at: 2025-03-01

Optimizing resource allocation in job shop production systems with seasonal demand patterns

10.11591/ijres.v14.i1.pp12-25
Salah Hammedi , Jalloul Elmeliani , Lotfi Nabli
Job shop production systems that encounter seasonal demand patterns in the manufacturing industry are the subject of this article's exploration of the complex challenges of resource allocation. A nuanced understanding of each product's unique production processes, resource requirements, and lead times is necessary for the inherent complexity of job shop production, which characterized by diverse product lines. Resource reallocation becomes more complicated due to seasonal demand patterns, which require manufacturers to seamlessly transition resources between products and adjust strategies dynamically throughout the year. This article explores potential optimization techniques by drawing on insights from related studies on reliability monitoring and Petri nets. Strategically managing resource allocation is highlighted due to its significant impact on a company's competitiveness, adaptability to market changes, and overall financial performance. In the paper, there is a proposed architecture for resource allocation that combines data-driven insights, workforce planning, inventory management, machine allocation, lean principles, and technology integration. Effective strategies for reallocating resources are highlighted through the presentation of case studies and best practices, which include accurate demand forecasting and flexible workforce planning. The final section of the article emphasizes the holistic approach required to navigate the complexities of seasonal demand patterns and achieve sustained competitiveness and customer satisfaction.
Volume: 14
Issue: 1
Page: 12-25
Publish at: 2025-03-01

Intelligent metaheuristic algorithm based FOPID controller for CSTR system

10.11591/ijaas.v14.i1.pp60-68
Ashish Sharma , Manoj Kumar Kar , Harsh Goud
The purpose of this research is to assess a continuous stirred-tank reactor (CSTR) system's performance. To enhance its performance, a fractional-order proportional-integral-derivative (FOPID) controller was employed, necessitating the tuning of independent control parameters. For this purpose, a sine-cosine algorithm (SCA) was introduced to optimize these parameters. The FOPID controller, tuned using the SCA, provides a powerful combination that addresses the complexities of the CSTR system. The fractional-order nature of the FOPID controller allows for superior tuning and robustness, offering enhanced flexibility in adjusting the system’s response characteristics and improving overall control performance. The SCA, known for its effective exploration of the search space through sine and cosine functions, ensures that the controller parameters are optimally selected to enhance the system’s performance by achieving an optimal fitness function. To showcase the effectiveness of the proposed SCA-tuned FOPID controller, comparisons were drawn with other optimization techniques designed for the CSTR system. The study presents time-domain characteristics and frequency responses of the proposed controller. The simulation results demonstrated that the SCA-FOPID controller significantly outperforms the other designed controllers, achieving a 54.07% reduction in the integral of time absolute error (ITAE) compared to genetic algorithm (GA), an 18.64% reduction compared to grey wolf optimizer (GWO), and a 34.79% reduction compared to differential evolution (DE). These significant reductions in ITAE underscore the effectiveness of this approach, highlighting the superior performance and robustness of the SCA-tuned FOPID controller in optimizing the CSTR system.
Volume: 14
Issue: 1
Page: 60-68
Publish at: 2025-03-01

Digital transformation COVID-19 era: startup strategies for technology, management, and people

10.11591/ijaas.v14.i1.pp11-18
Frediezel G. De Leon , Mary Ann T. Sedero , Marianne Feliz R. Antiquiera , Megara Juliene P. Silvederio , Angela R. Sara
Startups are not an exception to the fast acceleration of digital transformation across sectors caused by the COVID-19 pandemic. Digital transformation has served as a strategic lever for startups to improve operations, enhance customer experiences, and develop new business models. This study investigates how startups in Western Visayas, Philippines, navigated the pandemic while undergoing digital transformation. Our primary objective is to provide a comprehensive understanding of digital transformation, outlining its key components. By analyzing relevant business literature, we identified three core areas: i) technology, ii) management, and iii) people. This research explores the strategies employed by startups to embrace digital transformation, the technological tools they utilize, and the critical role of effective leadership and organizational culture in successful transformation initiatives. Data was collected through an online survey administered on Qualtrics. The findings reveal that most startups adapted their business models, leveraged social media platforms, and relied on their customer base for support during the pandemic. This study contributes to the existing knowledge base by offering insights into the digital transformation landscape in the Philippines. Furthermore, it enhances our understanding of the strategies and processes required to address the challenges of the digital age.
Volume: 14
Issue: 1
Page: 11-18
Publish at: 2025-03-01

Performance comparison of indoor navigation and obstacle avoidance methods for low-cost implementation in wheelchairs

10.11591/ijres.v14.i1.pp100-108
Satish Bhogannahalli Ashwathnarayan , Deekshitha Arsa , Sharath Kumar Yerriyuru Narasimhaiah , Shreyas Anchan , Giri Prasath
Wheelchairs are a huge support for the movement of people who have disabilities. The wheelchairs that were traditionally moved using manual effort have given way to powered and smart wheelchairs with various controlling methods. When powered wheelchairs are used indoors, navigation and avoiding obstacles become challenging and tricky for a disabled user. To address these challenges there have been implementations of expensive and high-end systems to make the wheelchair move autonomously but as a result such a wheelchair is not economically viable for many users. Thus, there is a need for an alternative low cost method for users to be able to navigate and move in an indoor environment. The paper reviews low-cost methods for implementing indoor navigation systems, weighing their performances to validate if these methods can be used as a viable alternative to the high-cost systems for autonomous navigation in an indoor environment.
Volume: 14
Issue: 1
Page: 100-108
Publish at: 2025-03-01

Application of turmeric as heat stress therapy for broiler chickens

10.11591/ijaas.v14.i1.pp282-290
Agung Adi Candra , Dwi Desmiyeni Putri , Sakhira Najla Oktyana
This study aims to analyze the productivity of broilers kept in heat-stress conditions by drinking water mixed with turmeric (Curcuma domestica). This research was conducted in the Politeknik Negeri Lampung, Indonesia cage in September 2023. This study uses the experimental method by comparing the turmeric treatment group with as much as 500 mg/kg of chicken body weight which will be compared with the group without treatment (control). The results of the research on the provision of drinking water given turmeric (Curcuma domestica) to broilers kept under heat stress, based on the results of the study it can be concluded that the provision of drinking water mixed with turmeric (Curcuma domestica) as much as 500 mg/kg body weight of chickens on the productivity of broilers reared under heat stress conditions able to increases consumption and weight gain in chickens and can reduce feed conversion in broiler chickens experiencing heat stress.
Volume: 14
Issue: 1
Page: 282-290
Publish at: 2025-03-01

Information and communication technology transform the agricultural extension practices in North Maluku, Indonesia

10.11591/ijaas.v14.i1.pp46-52
Chris Sugihono , Sunarru Samsi Hariadi , Sri Peni Wastutiningsih
The world's swift digitization has profoundly transformed how farmers and extension workers operate, learn, and communicate. This study explores how information and communication technologies (ICT) adoption transforms agricultural extension practices in North Maluku, Indonesia. Using a qualitative approach, the study gathered and analyzed data from fifteen extension workers through interviews, observation, documentation, and focus group discussions from November 2022 to March 2023. The findings reveal ICT adoption has transformed the extension workers’ strategies in five areas: i) coordination and collaboration, ii) digital learning, iii) virtual group dynamics, iv) promotion and mobilization, and v) online consultation and monitoring. However, ICT adoption has not replaced traditional extension methods, such as demonstration plots, field schools, and field trips. The use of ICT is not always in line with the deterministic view that technology automatically changes society. In contrast, recursive patterns in practice adaptation create complex dynamics in which extension workers' decisions continue to play a key role in the evolution of agricultural extension. These findings enrich practical and policy debates regarding harnessing ICT potential for enhanced agricultural extension in Indonesia. Additionally, they advance theoretical discussions on the merits of the technological determinism perspective in analyzing ICT utilization.
Volume: 14
Issue: 1
Page: 46-52
Publish at: 2025-03-01

Bio-adsorbents from banana peel and corncob in reducing Naphthol Yellow S dye

10.11591/ijaas.v14.i1.pp255-267
Iva Rustanti Eri , Marlik Marlik , Khambali Khambali
Naphthol Yellow S, a textile dye waste, poses environmental pollution due to its degradable chromophore and auxochrome groups, necessitating processing. The aim was to analyze the adsorption kinetics of banana peel and corncob bioadsorbents to reduce the dye Naphthol Yellow S in wastewater. This research was a true experiment and the object used was an artificial Naphthol Yellow S solution with an initial concentration of 80 ppm applied to the adsorbent mass of 0.1, 0.2, and 0.3 grams and contact time of 3, 6, 9, and 12 hours. Dye levels were measured before and after treatment using a spectrophotometer. The best adsorption test occurred on the banana peel bioadsorbent with an adsorbent mass of 0.3 grams and a stirring time of 3 hours. The adsorption study of banana peel and corncob bioadsorbents showed that the entire adsorption process of Naphthol Yellow S dye followed the Langmuir isothermal adsorption model with R2 coefficients of 0.9953 and 0.999, respectively, and maximum adsorption capacities of 4.6516 and 5.2825 mg/g, respectively. The activated carbon adsorption kinetics followed the second order, with R2 values of 0.9737 and 0.9152, respectively. This study concluded that the bioadsorbent of banana peels and corncob was able to reduce the dye Naphthol Yellow S.
Volume: 14
Issue: 1
Page: 255-267
Publish at: 2025-03-01

Technological readiness and business performance: the mediating effect of social media marketing

10.11591/ijaas.v14.i1.pp143-150
Sabri Shaker Ashoor Bin-Obaidellah , Noor Fadhiha Mokhtar , Safiek Mokhlis , Nur Aishah Awi
Understanding employee readiness towards adopting online marketing platforms is paramount in today’s digital economy, as it directly influences the effectiveness and competitiveness of businesses. This study investigates the relationship between employee technological readiness (ETR) and the business performance of micro and small enterprises (MSEs) in developing economies, focusing on data from Yemen. Drawing on the resource-based view theory, the study examined how adopting social media marketing (SMM) mediates this relationship. Data was collected from 362 managers/owners of MSEs in Yemen. The relationship between ETR, SMM, and business performance was examined using partial least squares structural equation modeling. The results show that ETR significantly influences SMM adoption, which impacts the business performance of MSEs. In addition, the study reveals that the relationship between ETR and business performance is partially mediated by SMM adoption. This finding highlights the critical role of employees’ readiness for technological advancements in facilitating effective SMM adoption, thereby contributing to the sustainability and success of MSEs.
Volume: 14
Issue: 1
Page: 143-150
Publish at: 2025-03-01

Application management information systems in research and student activities: a case study of NAEM Vietnam

10.11591/ijaas.v14.i1.pp132-142
Huu Dang Quoc , Tien Phan Van , Ha Le Viet , Nguyen Thi Dung , Bui Quang Truong
The management information systems (MIS) for education bring many benefits to management at universities, educational institutions, and academies. The Vietnam National Academy of Education Management (NAEM) has successfully integrated information technology into the management, teaching, and learning process, bringing many benefits. Many professional activities have been included in the standard framework of the academy's faculties. However, more specific and detailed activities at specialized faculties are being actively researched and implemented for management purposes. This article presents a study on the construction and implementation of a management information system to support the management of activities at faculties, such as managing information about lecturers' teaching, information about scientific research activities, and published works, In addition, this system also allows students to engage in learning activities such as registering for internships and internships at enterprises, information about graduation thesis implementation, and lecturers' assignments to guide students. Deploying this system at faculties supports the management of detailed operations, improves data management and processing, and ensures consistency in management.
Volume: 14
Issue: 1
Page: 132-142
Publish at: 2025-03-01

Finite element analysis method as an alternative for furniture prototyping process and product testing

10.11591/ijres.v14.i1.pp231-242
Fesa Putra Kristianto , Zain Amarta , Nicolas Hutasoit , Nuthqy Fariz , Fania Putri Herinda
In the current furniture industry, making furniture goes through many steps. There are ordering materials, designing, building a prototype, and testing samples. This process is considered quite complex, requiring significant costs, and lengthy production time. The application of finite element analysis (FEA) can be a solution to simulate the furniture manufacturing process. Objective of this research was to determine FEA could substitute making and test prototype furniture thereby saving costs and time. This method utilizes ANSYS 18.1 software for more accurate and rapid calculations, incorporating load variables of 400 N, 600 N, 800 N, and 1,000 N, along with gravitational acceleration of 10 \frac{m}{s^2}. The research evaluates the difference (expressed as a percentage) between the results obtained from simulations and those obtained directly from experiments, considering maximum equivalent stress, maximum principal stress, and total deformation values. The final step involves comparing the simulation with direct testing in terms of cost and time. The research results show an average error factor of 5% across all aspect. In terms of cost, the method can save 1,807 USD and reduce production time by up to one month. From these findings, it can be concluded that the process of prototyping and sample testing can be replaced using the finite element method.
Volume: 14
Issue: 1
Page: 231-242
Publish at: 2025-03-01

Integration of K-Means and Silhouette score for energy efficiency of wireless sensor networks

10.11591/ijres.v14.i1.pp26-34
Adil Hilmani , Yassine Sabri , Abderrahim Maizate , Siham Aouad , Mohammed Koundi
In wireless sensor networks (WSNs), optimizing energy consumption, and ensuring efficient data transmission are crucial for network longevity and performance. This paper introduces an enhanced clustering technique for WSNs that aims to extend network lifetime and ensure reliable data delivery. Instead of regular K-Means clustering, we integrate the Silhouette score method to evaluate cluster quality and decide the optimal number of clusters. This improves how nodes are grouped together in the network. Additionally, we strategically select routing paths from cluster heads to the base station that minimize energy drainage. Comprehensive simulations show our dual optimization approach outperforms standard K-Means in terms of energy efficiency, stable network organization and effective data transmission and overall, the proposed improvements to clustering and routing significantly advance energy-constrained WSNs toward more sustainable and dependable real-world applications
Volume: 14
Issue: 1
Page: 26-34
Publish at: 2025-03-01

Modeling of chimp optimization algorithm node localization scheme in wireless sensor networks

10.11591/ijres.v14.i1.pp221-230
Sripriya Arunachalam , Ashok Kumar Vijaya Kumar , Desidi Narsimha Reddy , Harikrishna Pathipati , Nethala Indira Priyadarsini , Lova Naga Babu Ramisetti
For smart environments in the digital age, wireless sensor networks (WSNs) are needed. Node localization (NL) in WSNs is complicated for recent researchers. WSN localization focuses on finding sensor nodes (SNs) in two dimensions. WSN NL provides decision-making information in packets sent to base stations. This article describes modeling of chimp optimization algorithm node localization system in wireless sensor networks (MCOANL-WSN). The MCOANL-WSN approach uses metaheuristic optimization to locate unknown network nodes. To simulate chimpanzees' cooperative hunting behavior, the MCOANL-WSN approach includes chimp optimization algorithm (COA) into the NL process. The system uses mathematical modeling to represent node collaboration to improve placements. COA-based localization is being proposed for dynamically responding to resource-constrained and dynamic WSNs. Wide-ranging simulations may assess the MCOANL-WSN system's scalability, energy efficiency, and localization accuracy. The findings demonstrate the superiority of the new modeling method over current NL schemes in improving WSN reliability and efficiency in various applications.
Volume: 14
Issue: 1
Page: 221-230
Publish at: 2025-03-01

Assessing fingerprinting and machine learning approaches for wireless indoor localization

10.11591/ijeecs.v37.i3.pp2021-2031
Azkario Rizky Pratama , Muhammad Evan Anindya Wahyuaji , Muhammad Fadhil Nur Hidayat , Bimo Sunarfri Hantono , Nur Abdillah Siddiq
This paper presents a comparative analysis of fingerprinting and machine learning techniques for bluetooth low energy (BLE)-based localization. Two fingerprinting algorithms, namely fingerprint feature extraction (FPFE) and Bayesian estimation (BE), along with various machine learning approaches including support vector regression (SVR), ensemble learning, and instance-based learning, are investigated. The selection of techniques depends on the availability of training data or the fingerprint database, explored in both ideal scenario and real-world scenario. In ideal scenario where the system administrator can collect fingerprint data through users’ devices, FPFE emerges as the preferred algorithm, achieving superior performance with a mean error of 0.50 m. In the context of real-world scenario, where data collection from multiple devices is limited, the system administrator may gather fingerprint data for localization using one or a few specific devices. Our experiments reveal that when there is a scarcity of fingerprint data, BE and SVR exhibit acceptable performance, reaching a mean error of 1.785 m and 1.965 m, respectively.
Volume: 37
Issue: 3
Page: 2021-2031
Publish at: 2025-03-01
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