Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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The representation of qurban in muslim designer community da’wah posters eid-al-adha theme
Full text linkMuslim Designer Community (MDC) is a forum for Muslim designers to actively conduct da’wah activities through visual media, especially in the form of posters. In this article, however, the theme that was chosen to be discussed is da’wah posters on Eid al-Adha. Eid al-Adha has an important value in Muslims because it concerns many things in Muslim life, both the vertical relationship between servants and their God, and the horizontal relationship between humans and humans and the social environment. This research focuses on the initial step in understanding MDC's da'wah posters, especially the posters related to Eid-Al-Adha as a multifaceted ritual in Islamic celebratory holy day, by dissecting the structure of da'wah posters posted by MDC through their social media account. This research uses a qualitative method. Data analysis was carried out using Roland Barthes' semiotics, namely by revealing visual markers as signifiers in da'wah posters. The result shows that the Eid al-Adha theme posters discussed above represent Qurban as the main message conveyed in the da'wah media using design elements in the form of artwork, visualizing the commands in the Qur'an and Hadith. Title and Image have a dominant role in conveying the message in the da'wah poster. The implication of this study shows that Da'wah posters are the implementation of religious values into the field of visual communication design, resulting in a new strategy of preaching using visual media. The combination of visual communication design and religious ideology has an important role in providing stimulus about religious messages to the audience
Collective memory in traditional bèsèk packaging: impact on buyer perception at Omah Jenang Blitar
Full text linkThis research examines the design of basic packaging for traditional culinary products at Omah Jênang Kêtan Kelapa Sari Blitar, using it as a case study. It critically evaluates the relationship between traditional culinary products, effective packaging, and labels. Bèsèk packaging not only protects culinary products from damage but also enhances their appeal with a natural and traditional look. The packaging label provides essential information about the product, including composition, expiration date, and storage instructions. The aim is to evaluate how traditional packaging influences consumer perceptions and to understand the relationship between traditional culinary products and their packaging and labels. This study offers insights into the significance of preserving traditional elements in packaging design and how these elements can inform more effective marketing strategies. A qualitative data analysis method is employed to assess the packaging design used by Omah Jênang Kêtan Kelapa Sari Blitar, focusing on visual stimuli and their impact on consumer memory. The research found that good packaging design fosters emotional bonds between traders and buyers, rooted in traditional collective memories, which enhances the durability and sustainability of the packaging. Additionally, Bèsèk's packaging design connects with collective memory, associated with romance and stories of past events, increasing consumer interest in recalling these experiences. The findings provide insights into how various packaging designs influence consumer perceptions and feelings toward traditional culinary products. This research underscores the importance of visual attributes in packaging design, highlighting their ability to stimulate consumer perceptions of collective memory and create meaningful, memorable packaging experiences
Pandemic myths in Indonesia culture and trust in official government information
Full text linkMulticultural communities in Indonesia produce mythologies related to disease outbreaks. This study aims to map such myths and their impact on trust in COVID-19 information, assuming that trust in the myths influences trust in COVID-19 information. This research is descriptive and qualitative in nature. Data consist of big data and the results of focus group discussions (FGDs) involving participants from three generations, i.e., baby boomers, millennials, and Gen Z, in three regions. Cross-analyses were performed to examine the data. The results of the big data analysis uncover the myths about the spread, detection, prevention, and treatment of COVID-19. Likewise, the FGD analysis shows myths and superstitions around the COVID-19 pandemic, which could be prevented through religious and cultural rituals. The firm belief in the myths and poor public communication by the authorities created ambiguity. The public believes more in myths than the official information. The findings of this study can inform the formulation of culture-based health communication strategies and the optimization of public communications in a health crisis like the COVID-19 pandemic
Quadrotor Modeling Approaches and Trajectory Tracking Control Algorithms: A Review
Full text linkQuadrotor unmanned aerial vehicles are utilized in basically every sector of society, including the business, civil, and military industries. Popular applications include delivery, agriculture, target-acquisition, surveying, surveillance, and rescue. They are widely used due to their exceptional features such as accuracy, capability to perform swift inspections, simplicity in deploying perilous and uncertain missions, and additional praiseworthy attributes. This article presents a comprehensive analysis of the theoretical frameworks that have been proposed for the purpose of quadrotor modelling and control. Detailed examinations are conducted on every methodology that underpins the control algorithms, spanning from traditional linear to modern. The analysis looks at hybrid control technique models, which incorporate adaptive components across multiple controllers to improve overall performance and resilience by addressing individual algorithm shortcomings. This analysis also delves deeper into potential future research avenues. These include the development of learning-based or hybrid methodologies that employ machine learning and artificial intelligence to optimize performance and adaptability. For instance, model reference adaptive control systems can learn adaptation laws through machine learning techniques, as opposed to depending on predefined adaptation laws. By training neural networks or fuzzy logic controllers to forecast optimal adaptation parameters based on sensor data, the quadrotor can adjust to fluctuating conditions more effectively. A comparison table is provided to elaborate on the advantages, disadvantages, and hybrid versions of each control algorithm. This will serve as a concise guide that will promote innovation, facilitate the selection and integration of appropriate control algorithms, and enhance the functionality of quadrotor control systems
The continuum relationship of aesthetic and social space in the dhikr performativity of the Sambas Malay in West Kalimantan
Full text linkStudies on performative issues in ritual practices often detach social practices from performative studies, emphasizing aesthetic elements instead. This separation creates a divide between aesthetic and social practices. This study seeks to describe dhikr practices that reinforce performative aspects by examining the continuum between aesthetic and social spaces. It highlights the importance of the reciprocal relationship between these two domains, which ultimately redefines the spaces where aesthetic and social practices are performed. The research employs a methodology centered on observations and interviews with informants, categorized by their use of traditional or contemporary songs in performing dhikr. Data analysis was conducted both on-site and off-site. On-site analysis involved recording local terms and describing them within their cultural context. Additionally, transcription was undertaken to convert sounds, movements, and voices into written form. Off-site analysis included verifying data completeness, classifying data based on research needs, reducing irrelevant data, coding the remaining data, and organizing it into themes before presenting it systematically. The findings reveal three key processes within the continuum. First, the configuration of traditional and contemporary songs illustrates a linear progression that reflects the formation of Sambas Malay culture. Second, the configuration of songs and cultural construction is mediated through both cultural and structural platforms. Third, this continuum extends to the internal experiences of dhikr practitioners, serving as a reflective process of their practices. The study’s results have significant implications for understanding dhikr practices, demonstrating that they are not solely religious in nature. It also opens new avenues for research, particularly exploring the political dimensions of dhikr practices and their relationship to power dynamics within the Sambas Malay community
Mapping the scientific footprint: a bibliometric study of self-regulated learning in music education using network analysis
Full text linkThis study aims to analyze bibliometric trends and thematic relationships in studies on self-regulated learning and self-directed learning in music. Data collected from Scopus include 145 documents published between 2002 and 2024 and analyzed using Biblioshiny and VosViewer tools with the PRISMA approach. The results reveal six main thematic clusters that show a variety of research focuses. The first cluster highlights students' experiences and ease of use of learning technologies. The second cluster focuses on motivation, self-directed learning, and the integration of technologies such as artificial intelligence. The third cluster reviews the role of social robots in supporting self-directed learning. The fourth cluster discusses music teaching and education systems. The fifth cluster connects medical and psychological research with educational contexts, while the sixth cluster, the largest cluster, highlights humans as the main subject, focusing on music, psychology, and learning. This study contributes to understanding global trends, collaboration patterns, and main themes in the literature, as well as opening up opportunities for the development of self-directed learning strategies in music education
A critical discourse analysis of the role of influencers in driving social change through Indonesian Youtube content
Full text linkCommunication mediated by social media presents content creators who have many followers who are then often called influencers. This study seeks to analyze the contributions of influencers who should act and be responsible as individuals who can convey public opinion through digital platforms. The researcher uses a qualitative research method with a critical discourse analysis approach to dismantle and reveal how influencers are strongly committed to spreading positive discourse as a form of responsibility as part of social change agents in the digital world. The object of the study is YouTube content from the accounts of Ria Ricis, Atta Halilintar, and Frost Diamond, which represent significant influencers in Indonesia. Researchers found that three significant influencers in Indonesia have not been able to carry out their duties as agents of social change. There are three reasons why influencers in this study are unable to carry out their duties and responsibilities as social change agents, namely the absence of a clear definition of the role of influencers as social change agents, the lack of understanding of influencers regarding their social responsibilities as social change agents, and the absence of an operational model that explains the concrete steps taken by influencers as effective social agents. This study provides recommendations on the duties and responsibilities of influencers as agents of social change in a model that the researcher calls the Content Development Model. This model consists of four main stages at the concept level (Input, Process, Output, and Outcome) and six execution stages at the technical level (Content Created, Interaction Distribution, Formation of Discourse, Change in Attitude and Behaviour, Collective Action and Social Change). This Content Development Model explains how influencers must produce content by considering positive social issues as agents of social change in society
Optimized Vector Control Using Swarm Bipolar Algorithm for Five-Level PWM Inverter-Fed Three-Phase Induction Motor
Full text linkInduction motors (IMs) are commonly used in various applications such as robotics and automotive industries. This paper proposes an optimization of two proportional-integral (PI) controllers for a multi-level pulse width modulation (PWM) voltage-fed inverter linked to a three-phase IM. The paper aims to enhance inverter output quality, minimize harmonic distortion, and ensure robust, stable performance. The swarm bipolar algorithm (SBA) is introduced to elaborate the searching of the best settings of the PI controllers to achieve the desired response. Â Harmonics lead to increased system losses by creating negative torque components. To address this problem, two modulation algorithms are proposed to generate three-phase voltage with minimum harmonics including space vector PWM (SVPWM) inverter and sinusoidal PWM (SPWM). Simulation results based on MATLAB/Simulink environment for various operation conditions such as sudden loads change and speed changes reveal that the proposed controller enhances the system's performance. Moreover, the five-level SVPWM inverter has a minimum threshold harmonic distortion (THD) compared to the five-level SPWM inverter where the THD is decreased from 40.24% for SPWM method to 13.67% for the SVPWM method
Analyzing the Flow of Injection Molding for Water Filter Handle: Filling, Packing, and Warpage
Full text linkInjection molding is a crucial manufacturing technology for producing complex, high-quality parts at scale, making it essential in various industries, including consumer electronics and automotive sectors. However, a lack of understanding about how injection parameters impact common defects like sink marks, short shots, and warpage often limits the widespread adoption of injection molding. This research aims to bridge this gap by providing a comprehensive digital simulation of the injection molding process within a complex mold cavity. Utilizing Moldex3D and the Finite Volume Method (FVM), this study characterizes essential material properties–viscosity, specific heat, density, and thermal conductivity–and examines the effects of gate location and part design on minimizing weld lines and warpage. The FVM involves dividing the computational domain into a finite number of small control volumes. This method is particularly well-suited for handling complex geometries and flow conditions, facilitating detailed and accurate simulations. This study employs Moldex3D, a leading simulation software in the field of injection molding, to demonstrate the use of CAE for design verification and process innovation. Moldex3D’s advanced capabilities make it an ideal tool for simulating injection molding processes, helping improve the quality of parts and contributing to the overall advancement of molding skills in the industry. The simulations revealed optimal gate locations that significantly improved filling patterns, reduced warpage by 50%, and minimized weld lines, thereby enhancing overall part quality. Key contributions of this research include the identification of critical flow characteristics, the reduction of defect-prone regions, and the enhancement of plastic component rigidity. This study provides valuable insights into optimizing injection molding processes, offering a pathway to improved efficiency and part quality in advanced manufacturing
Enhanced RSA Optimized TID Controller for Frequency Stabilization in a Two-Area Power System
Full text linkThis study presents an enhanced reptile search algorithm (ImRSA) optimized tilt-integral-derivative (TID) controller for load frequency control (LFC) in a two-area power system consisting of photovoltaic (PV) and thermal power units. The ImRSA integrates Lévy flight and logarithmic spiral search mechanisms to improve the balance between exploration and exploitation, resulting in more efficient optimization performance. The proposed controller is tested against the original reptile search algorithm (RSA) and other state-of-the-art optimization methods, such as modified grey wolf optimization with cuckoo search, black widow optimization, and gorilla troops optimization. Simulation results show that the ImRSA-optimized TID controller outperforms these approaches in terms of undershoot, overshoot, settling time, and the integral of time-weighted absolute error metric. Additionally, the ImRSA demonstrates robustness in managing frequency deviations caused by solar radiation fluctuations in PV systems. The results highlight the superior efficiency and reliability of the proposed method, especially for renewable energy integration in modern power systems