Publication Search

This study aims to analyze the role of Digital Public Relations (DPR) in maintaining public trust in Kopi Tuku's reputation through its Instagram account @tokokopituku. Using qualitative methods with documentation studies, this study analyzed feed posts, captions, comment interactions, and related digital documents. The results show that Kopi Tuku implements a consistent digital communication strategy through simple visuals, humanistic storytelling, and a friendly style of language. This creates a deep perception of authenticity and transparency in the eyes of consumers. Although comment interactions are not too intense, the principle of symmetrical communication is still applied with quick and friendly responses. The consistency of brand values ​​and identity further strengthens public trust, maintaining Kopi Tuku's reputation amidst the intense competition in the coffee industry. This research contributes to the development of digital PR studies and serves as a reference for local coffee industry players in formulating social media-based communication strategies to build closer relationships with consumers.

The rapid development of digital technology has significantly transformed financial transactions in Indonesia, particularly through the growing use of e-wallets as practical and efficient payment tools. In a country with a Muslim-majority population, ensuring that e-wallet services comply with Islamic principles—free from riba, gharar, and maysir—is essential. This study aims to analyze Indonesia’s legal politics in regulating the use of e-wallets within the Islamic financial system and to assess their alignment with sharia principles. This research employs a normative juridical method with a qualitative descriptive approach by examining laws, regulations, and fatwas related to sharia-based fintech. The findings indicate that the Indonesian regulatory framework—through the OJK, Bank Indonesia, and DSN-MUI—has attempted to harmonize policies to support sharia-compliant digital financial services. However, several challenges remain, including limited e-wallet platforms with sharia certification, low digital sharia literacy among users, and the absence of detailed technical regulations specific to sharia e-wallet operations. This study recommends strengthening regulatory guidelines, increasing public literacy, and enhancing collaboration between regulators and the fintech industry to promote the development of sharia-compliant e-wallets that are secure, innovative, and aligned with Islamic financial principles.

Gender inequality in terms of safety in public spaces is a crucial issue in Indonesia. This research background is driven by the high rate of violence against women, reaching 330,079 cases in 2024, and reinforced by a patriarchal culture that perpetuates gender hierarchy. This study uses a qualitative method with a literature study approach to analyze the root causes and impacts of gender inequality on women's sense of security in public spaces. The results indicate that the disparity manifests in various dimensions, such as women-unfriendly urban infrastructure (e.g., inadequate lighting), security threats in urban areas, and the high rate of gender-based violence where 80.1% of the victims are women. The discussion reveals that this inequality impacts not only physical safety but also psychological well-being, economic security, and access to public spaces. This research concludes that a multidimensional approach encompassing infrastructure improvement, strengthening legal protection, changing social norms, and economic empowerment is required to create an inclusive, equitable, and safe public environment for all genders.

. Film as a mass communication medium not only functions as entertainment, but also as a means of representing power relations in society. Miracle in Cell No. 7 works by Hanung Bramantyo show various forms of official domination and legal inequality which are relevant to be studied through a hegemony perspective. This research aims to describe the forms of hegemony that appear in the film and interpret the social criticism conveyed through the narrative and visualization. The research uses qualitative methods with listening and note-taking techniques, then the data is analyzed through reduction, presentation and drawing conclusions based on Antonio Gramsci's theory of hegemony. The research results show that this film contains four forms of hegemony: ideological hegemony through the instillation of disciplinary values; hegemony of power through apparatus domination and abuse of authority; cultural hegemony through the imposition of a single standard of behavior; and moral hegemony through the formation of ethical judgments that benefit those in power. These findings indicate that films not only present emotional stories, but also present criticism of legal injustice and structural domination. This research confirms that visual media plays an important role in forming public awareness regarding the practice of power in social life.

. Film as a mass communication medium not only functions as entertainment, but also as a means of representing power relations in society. Miracle in Cell No. 7 works by Hanung Bramantyo show various forms of official domination and legal inequality which are relevant to be studied through a hegemony perspective. This research aims to describe the forms of hegemony that appear in the film and interpret the social criticism conveyed through the narrative and visualization. The research uses qualitative methods with listening and note-taking techniques, then the data is analyzed through reduction, presentation and drawing conclusions based on Antonio Gramsci's theory of hegemony. The research results show that this film contains four forms of hegemony: ideological hegemony through the instillation of disciplinary values; hegemony of power through apparatus domination and abuse of authority; cultural hegemony through the imposition of a single standard of behavior; and moral hegemony through the formation of ethical judgments that benefit those in power. These findings indicate that films not only present emotional stories, but also present criticism of legal injustice and structural domination. This research confirms that visual media plays an important role in forming public awareness regarding the practice of power in social life.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.

The rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.

Background: The development of industrial technology in the Industry 4.0 era has encouraged the implementation of intelligent monitoring systems to improve machine reliability and operational efficiency. However, machine fault diagnosis systems based on artificial intelligence often face limitations in terms of interpretability because the models used are complex and difficult to explain. Objective: This study aims to develop a deep learning-based industrial machine fault diagnosis system integrated with an Explainable Artificial Intelligence (XAI) approach to improve diagnostic accuracy while providing interpretable insights for users. Method: The research method involves collecting data from industrial machine sensors consisting of vibration signals, temperature measurements, and acoustic signals, followed by data preprocessing and feature extraction processes. The processed data are then used to train a deep learning-based diagnostic model, after which explainability methods such as SHAP or LIME are applied to analyze the contribution of each feature to the model’s prediction results. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. Results: The results indicate that the proposed deep learning model achieves better performance compared to conventional machine learning methods such as Support Vector Machine and Random Forest. Furthermore, the explainability analysis reveals that vibration amplitude, increases in machine component temperature, and anomalies in acoustic signals are the main factors influencing machine fault detection. Therefore, the proposed system not only improves the accuracy of machine fault diagnosis but also provides transparency in the decision-making process, thereby supporting the implementation of predictive maintenance in smart manufacturing environments.

This study explores the integration of critical pedagogy with digital literacy, aiming to reconceptualize digital literacy beyond its traditional focus on technical proficiency and operational skills. Traditional digital literacy models emphasize the ability to navigate and use technology, primarily focusing on operational tasks such as managing digital devices, utilizing software, and performing specific functions. However, these models often overlook the broader implications of technology on society, including its role in shaping power dynamics and perpetuating social inequalities. By integrating critical pedagogy, this study argues that digital literacy should not only encompass technical skills but also encourage learners to critically assess the social, political, and cultural implications of digital tools. The critical digital literacy approach promotes social justice, equity, and empowerment by encouraging learners to question, reflect on, and challenge the ways in which technology influences their lives and society at large. Through critical engagement with digital tools, learners are empowered to challenge existing power structures, fostering social transformation. The study discusses how educators can integrate critical digital literacy into teaching practices, moving beyond traditional skill based models by encouraging critical thinking, ethical use of technology, and a deeper understanding of the role digital technologies play in shaping societal structures. Moreover, the study highlights the transformative potential of critical digital pedagogy, proposing it as a tool for educational equity and social change. By reconceptualizing digital literacy through a critical pedagogical lens, this study offers a framework that empowers students to become not just proficient digital users but active participants in societal transformation, contributing to a more inclusive and just digital future. The study also suggests areas for future research, including empirical investigations on the practical implementation of critical digital literacy frameworks across various educational settings and contexts.

The integration of information and communication technology (ICT) is essential for supporting student-centered learning and developing 21st-century skills. However, many primary school teachers still experience difficulties in implementing ICT meaningfully due to limited digital pedagogical competence and a lack of contextualized professional development, particularly in primary and Islamic school contexts. This study aims to explore the implementation and outcomes of an ICT-based teacher training programs conducted through a field study approach, focusing on its influence on teachers’ digital pedagogical competence and instructional practices. A qualitative descriptive field study design was employed. Participants were primary school teachers from an Islamic public school in Indonesia who took part in a six-session ICT training programs. Data were collected through observations, documentation of teachers’ digital products, and reflective field notes, and analyzed using thematic analysis. The findings reveal improvements in teachers’ pedagogical understanding of ICT, technical skills, and readiness for classroom implementation. Teachers produced various ICT-based learning media aligned with instructional objectives, including interactive quizzes, game-based activities, visual materials, animated videos, and digital classrooms. High levels of engagement and collaboration were observed despite infrastructural challenges. Field-based, practice-oriented ICT training effectively bridges technological skills and pedagogical application, supporting sustainable digital pedagogy in primary education.

This study aims to determine the effect of interactive learning media based on Math Playground on student learning outcomes on fraction materials in class IV SDN Kedung Dalem III. The problem studied is whether there is a significant influence between the use of interactive learning media based on Math Playground on student learning outcomes in grade IV SDN Kedung Dalem III. This study uses a quantitative method with a one group pretest-posttest design. The sample of this study were fourth grade students of SDN Kedung Dalem III, totaling 17 students. The research instrument used is a test (Pretest-Postest) of student learning outcomes on fraction material, which consists of 10 multiple choice questions. The results of the analysis using the wilcoxon test show that the sig value (2 tailed) is 0.000 which indicates significance <0.05 so that H0 is rejected and H1 is accepted. This shows that the interactive learning media Math Playground has a significant effect on improving student learning outcomes. The conclusion of this study is that Math Playground interactive learning media can improve student learning outcomes on fraction material. Therefore, teachers and educators can use Math Playground as an alternative learning media to improve student learning outcomes.

The epistemology of modern science develops with the assumption that neutrality and objectivity distinguish facts from values. This belief leads to the reduction of values, especially those related to ethical, metaphysical, and spiritual values, during the development of science. The purpose of this paper is to examine the problem of value reduction in the epistemology of modern science and to examine the Islamization of science as an epistemic alternative. This research method is qualitative, literature-based, and critical-philosophical. Epistemological critiques of value-free science, based on positivism and modern empiricism, and a study of the theory of the Islamization of science by Syed Muhammad Naquib al-Attas and Ismail Raji al-Faruqi are used to complete the analysis. The results of this study indicate that the epistemological separation between facts and values ​​in contemporary science leads to a decline in values. The Islamization of science offers an alternative epistemic framework that positions science as a meaningful, valuable, and goal-oriented activity. Thus, without rejecting the methodological progress of contemporary science, it remains a plausible option. Despite lingering problems with the methodological formulation, this article asserts that the Islamization of science is relevant as a theoretical response to the crisis of values ​​in the epistemology of modern science.

This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

This study aims to explore the phenomenon of fundraising conducted in the name of Buddhism and humanity in Kisaran City, North Sumatra, using a qualitative approach. Data was collected through direct observation, in-depth interviews with the participants, and document analysis related to the fundraising activities that had been conducted. The research findings show that fundraising is carried out in various forms, such as food donations, social activities, and online donations. All of these activities are rooted in Buddhist values, particularly dana (giving) and karuna (compassion). The use of digital technology, especially online donation platforms, has increased community participation and transparency in the fundraising process. However, the study also identified challenges such as the lack of accountability in managing the funds and the risk of misuse that could undermine public trust. In this context, transparency and active community involvement are essential to building trust and ensuring the effectiveness of religious philanthropy. The study concludes that the sustainability of Buddhist fundraising practices in modern society can be achieved by combining spiritual integrity, good governance, and appropriate technology adaptation. Through this holistic approach, Buddhism-based fundraising can remain relevant and effective in supporting humanitarian activities in the digital age.

This study examines the dynamics of Buddhist religious counseling services in North Kalimantan Province in the post-pandemic period, particularly focusing on satisfaction levels and the distribution of counselors across districts. Using a quantitative approach with descriptive and correlational designs, the study involved a population of 9 Buddhist counselors and 3,993 congregants, with 98 selected respondents. Satisfaction levels were measured using the SERVQUAL framework, which evaluates service quality through five key dimensions. Findings show an overall satisfaction score of 3.65 (out of 5), categorized as “satisfied.” The highest rating was in the assurance dimension, reflecting public trust in counselor competence. However, empathy and responsiveness dimensions scored lower, especially in regions with few or no assigned counselors. A Pearson correlation analysis yielded a weak positive relationship (r = 0.214) between counselor-to-congregant ratios and satisfaction scores, emphasizing that equitable distribution is more crucial than sheer numbers. This research underscores the urgent need for needs-based distribution policies and hybrid service strategies that combine digital and in-person modalities. The results offer important policy implications, highlighting that spiritual service equity contributes to social cohesion and emotional well-being, especially in pluralistic and geographically dispersed regions.

This study aims to examine the use of artificial intelligence (AI) in transforming Buddhist Sunday School education at the Shimakalingga Temple in Jepara in the digital era. Using a qualitative descriptive approach, data were collected through observation, interviews, and documentation studies. The results show that AI technology is beginning to be utilized in the learning process, such as the use of interactive visual media, Dharma quiz applications, and digital platforms for distance learning. The use of AI has been proven to increase student interest and understanding of Buddhist teachings, as well as support more inclusive and adaptive learning. However, challenges remain, including limited resources, lack of teacher training, and the need for ethical guidelines for the use of AI in the context of religious education. This study concludes that AI plays a significant role in supporting the transformation of Buddhist education, but its use must remain balanced with spiritual values and the role of teachers as moral guides. Therefore, collaboration between the temple, educators, and technology is needed to create a sustainable learning system based on Dharma values.

Buddhist teachings play a crucial role in addressing various social problems that continue to develop in the modern era. Rapid social change, globalization, and technological advancement have brought not only positive impacts but also serious challenges, such as increasing social conflicts, moral degradation, individualism, and the weakening of social awareness within society. In this context, Buddhism offers universal ethical guidance that remains relevant across time, particularly through the principles of compassion (karuṇā), loving-kindness (mettā), wisdom (paññā), and mental equanimity (upekkhā), which guide individuals toward harmonious and responsible living. This study aims to analyze the role of Buddhist values in providing solutions to contemporary social problems. The research employs a descriptive qualitative method based on library research, using a hermeneutic approach to Buddhist sacred texts and relevant scientific studies. The findings indicate that the application of Buddhist values contributes significantly to the development of social morality, the strengthening of social solidarity, conflict resolution, and the formation of individual character marked by empathy, tolerance, and responsibility. Furthermore, these values play an essential role in fostering interreligious harmony and cultivating collective awareness of the importance of peaceful coexistence within pluralistic and multicultural societies.

This study discusses the role of FoGuangShan Humanistic Buddhism in building compassion-based communities through education in Indonesia. As one of the schools of modern Buddhism, FoGuangShan transmits the values of compassion, wisdom, and humanity in educational practices, both formal and informal. Using a qualitative descriptive approach, this study explains how these values are applied in curriculum, learning activities, and social programs involving interfaith and cultural communities. The results of the study show that education based on Humanistic Buddhism plays an important role in fostering tolerance, strengthening moral character, and encouraging social solidarity in Indonesia's multicultural environment. Furthermore, FoGuangShan managed to create a learning space that not only focuses on academic knowledge, but also on the development of empathy, social skills, and collective awareness for living in harmony. In addition, an inclusive and dialogical approach to education is able to strengthen social relations between individuals and minimize potential conflicts based on religious and cultural differences. These findings confirm that the educational model implemented by FoGuangShan can be a significant contribution to the development of character education, interfaith dialogue, and the strengthening of social cohesion in a pluralistic society in Indonesia, as well as an alternative reference for human values-based educational practices.

This training aims to strengthen local wisdom-based character for students at SMPN 3 Want Jaya, Aceh Besar Regency with traditional meudike art material. This training was carried out using lecture methods, learning by doing, discussion and question and answer. The first training session was conducted directly by Syeh Medya Hus as a meudike expert and the second session was carried out with group training. The results of the training show that this training can positively contribute to strengthening the religious, social and responsible character of students at SMPN 3 Want Jaya which is reflected in their seriousness, sincerity, cohesiveness, cooperation, helping each other during the ongoing training process. Therefore, this training can continue to be developed both in formal and extracurricular learning processes at school to create a generation that loves cultural identity and national identity.