Publication Search

Introduction: The integration of Digital Twin (DT) technology and the Internet of Things (IoT) into Building Energy Management Systems (BEMS) offers a transformative approach to optimizing energy consumption in buildings. This study explores the development of a Digital Twin based BEMS prototype, which leverages real time data collection, predictive analytics, and machine learning to enhance energy efficiency, reduce costs, and support sustainability goals in modern buildings. The research also addresses key gaps in current energy management systems, including real time adaptive control and integration with smart grid platforms. Literature Review: Previous research highlights the limitations of traditional BEMS, which often rely on static control strategies and lack real time adaptability. Recent advancements, including predictive maintenance and machine learning integration, have improved energy optimization. However, challenges such as data interoperability, scalability, and cybersecurity remain. This review consolidates current approaches and identifies opportunities for enhancing BEMS through the integration of DT technology, IoT, and machine learning. Materials and Method: The methodology employed involves the design of a Digital Twin based BEMS prototype, incorporating IoT sensors for real time data collection on variables such as HVAC load, occupancy, and environmental factors. The system uses time series forecasting and adaptive control strategies to optimize energy consumption. A case study building is used for validation, with performance metrics such as energy savings, CO₂ footprint reduction, and peak load reduction assessed to evaluate the system's effectiveness. Results and Discussion: The results demonstrate a significant reduction in energy consumption (up to 50%) compared to traditional BEMS, along with improved forecasting accuracy and sustainability performance. The prototype achieved a high R² score in predicting energy usage, validated through real world application in the case study building. The economic feasibility analysis showed substantial cost savings and a strong return on investment, making the system a financially viable solution for energy efficient building management.

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.

Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.

This study aims to analyze the concept of economic justice according to Ibn Taimiyah and examine its relevance to the challenges of the modern economic system. Through a qualitative approach based on literature studies, it was found that principles such as honesty in trade, justice in the distribution of wealth, state involvement in maintaining market balance, and the prohibition of exploitation and monopoly are important foundations in Ibn Taimiyah's thinking. These values ​​have proven to remain contextual in facing the problems of global economic inequality, the dominance of large corporations, and the crisis of social justice in the modern era. The integration of the principles of ethics and justice promoted by Ibn Taimiyah is the key to building a more humane, inclusive, and sustainable economic order

Ibn Khaldun is recognized as a prominent Muslim thinker who made significant contributions to the fields of economics, sociology, and politics. In his seminal work Muqaddimah, he introduced economic ideas that were far ahead of his time, including the concepts of national wealth, wage theory, market mechanisms, and the role of the state in fiscal policy. This study aims to examine the core economic thoughts of Ibn Khaldun and their relevance to current economic dynamics. Using a qualitative descriptive approach based on literature review, the study finds that many of Khaldun's ideas remain highly relevant, particularly regarding the importance of productivity, fiscal justice, and the integration of social and economic aspects in building a sustainable system. Most people know that Ibn Khaldun is one of the most famous Muslim thinkers, and he did a lot in the fields of politics, economics, and sociology.  In his monumental work, Muqaddimah discusses various long-established economic concepts, such as the market mechanism, wage theory, national wealth, and the role of the state in fiscal policy.  The purpose of this research is to study Ibn Khaldun's ideas on economics and evaluate how these impact contemporary economic developments.  The study found that many of Khaldun's ideas are still relevant today thanks to the use of descriptive qualitative methodology based on literature study. A sustainable and inclusive economic system relies on the idea of productivity as the source of economic growth, fiscal justice in the taxation system, and integration between social and economic aspects.  The results show that classical economic thought not only has historical value, but also offers solutions to many modern economic problems such as inequality, productivity stagnation, and institutional crisis.

Digital transformation has fundamentally reshaped auditing practices, particularly through the integration of technologies such as Artificial Intelligence  (AI), big data, and blockchain. This study aims to identify the challenges, opportunities, and implications of digital transformation on audit quality in the big data era. A qualitative descriptive approach was employed, using case studies and simulations as the primary methods of analysis. The findings reveal that digitalization contributes positively to audit quality by enhancing time efficiency, testing accuracy, and risk detection capabilities. Nevertheless, challenges such as technological resource limitations, the need for auditor skill development, and ethical and data security risks remain significant barriers. This study highlights the urgency of developing a holistic digital audit framework and updating regulatory standards to ensure sustainable digital transformation. Recommendations are provided for practitioners, regulators, educational institutions, and scholars to collaborate in building an adaptive, professional, and ethical auditing ecosystem in the digital era.

The teaching of Professional Ethics in the Culinary Arts Study Program is often delivered in a theoretical manner, make lack of contextual and reflective learning experiences for students. This study aims to develop and evaluate an interactive pocket book as a learning medium to support students' understanding of ethical values in real culinary work settings. The research employed the 4-D development model (Define, Design, Develop, Disseminate), with data collected through observation, interviews, expert validation, practicality questionnaires, and pretest–posttest design. The study was conducted over three months at Universitas Negeri Medan. Validation results indicated that the media was highly feasible in terms of content, layout, and language. Practicality testing showed that students found the media very practical, while the effectiveness test revealed an improvement in learning outcomes with a gain score of 0.60 (moderate to high category). These findings demonstrate that the interactive pocket book is effective in promoting ethical learning that is contextual, reflective, and applicable. The media is recommended for integration into learning strategies focused on values and professional attitudes and is suggested for further development into digital formats to enhance flexibility and wider accessibility.

Infrastructure problems have become a significant concern in educational discourse, primarily focusing on how inadequate facilities impede the achievement of educational objectives. This research examines the challenges related to educational infrastructure in teaching Islamic Cultural History (SKI) at MTS 1 Kota Bengkulu. Using a qualitative descriptive approach, the study identifies key issues including limited technological resources, insufficient maintenance funding, and inadequate government oversight. The findings reveal that these limitations significantly impact teaching effectiveness, student engagement, and learning outcomes. The implementation of the Merdeka Curriculum, which emphasizes technology integration, faces particular challenges due to infrastructure deficiencies such as limited electrical outlets and projection equipment. The research proposes comprehensive solutions including improved financial management, strategic resource allocation, teacher professional development, and enhanced stakeholder collaboration. This study contributes to understanding how infrastructure limitations affect specialized subjects like SKI and offers practical recommendations for educational institutions facing similar challenges.

Environmental awareness is an effort to preserve, prevent damage to, and restore natural conditions. This attitude can be instilled through the integration of environmental values in science learning. The Science-Technology-Society (STS) approach is one effective method that fosters students' thinking skills and scientific literacy in line with technological and scientific developments. This study aims to determine whether environmental awareness in science subjects can be improved through the STS approach at MI Salamah in Jambi City, and to describe the implementation of the STS approach in enhancing environmental awareness in science subjects at the school. This research is a classroom action research using the Kemmis and McTaggart model, which consists of two cycles. Each cycle includes two meetings with four stages: planning, implementation, observation, and reflection. The research results show an increase in students' environmental awareness attitudes in both Cycle I and Cycle II. In Cycle I, the average score for environmental awareness attitudes rose from 60.10% to 76.63%, while in Cycle II, it increased more significantly from 88.58% to 92.6%. In addition, test results also showed a significant improvement in students' understanding of the material. The implementation of the Science-Technology-Society (STS) approach in enhancing environmental awareness in science subjects at MI Salamah has been effective. It was applied through experiential learning, discussions, and creative activities that actively involved students in understanding and applying environmental concepts.

The common cold in infants is a frequent health problem that requires proper management to prevent potential complications such as pneumonia, bronchitis, sinusitis, laryngitis, and febrile seizures. Management strategies for the common cold can be carried out through pharmacological approaches, such as the administration of syrups and powders, and non-pharmacological approaches, including traditional methods like common cold massage. This study aims to analyze the effect of providing education about common cold massage on mothers’ knowledge in managing the common cold in infants. The research employed a quantitative method with a quasi-experimental design using a one-group pretest-posttest approach. The study population consisted of 40 mothers who had infants aged 4–12 months registered at the Gunungpati Health Center. A total sample of 36 respondents was obtained through simple random sampling. The research instrument was a structured knowledge questionnaire specifically developed to assess understanding of common cold massage techniques and their role in managing symptoms. Data analysis was conducted using the Wilcoxon signed-rank test to evaluate differences in knowledge levels before and after the educational intervention. The results showed a significant increase in mothers’ knowledge after receiving education, with a p-value of 0.000 (<0.05), indicating that the intervention was statistically significant. These findings highlight the importance of non-pharmacological educational programs, particularly common cold massage, as a complementary approach to infant health care. Implementing such education can empower mothers with practical skills to manage early symptoms and potentially reduce complications. It is recommended that further studies be conducted in different settings with more varied sociodemographic backgrounds to ensure broader applicability and to explore the integration of traditional massage education into community health programs.

The rapid development of artificial intelligence (AI) in the digital era has raised a variety of ethical issues that urgently need to be addressed wisely. In Indonesia, Pancasila as the foundation of the state has significant potential to become an ethical foundation in the development of responsible and humanity-oriented AI. This research uses a qualitative method with a literature study approach, examining various academic sources, such as relevant journals, books, and scientific articles. The analysis was conducted through content analysis techniques and reinforced with source triangulation to ensure the validity of the data. The results showed that the values of each precept in Pancasila are highly relevant to the ethical principles of AI, such as moral and spiritual responsibility reflected in the first precept, respect for human rights in the second precept, and the importance of democratization of technology and equitable distribution of benefits stated in the fourth and fifth precepts. Therefore, the integration of Pancasila values in every stage of AI development and application is crucial. This is so that the resulting technology is not only technically superior, but also reflects justice, inclusiveness, and commitment to human values. Collaboration between government, academia, industry, and society is the key to making Indonesia a pioneer in ethical and humanist AI development.

Citizenship education from an Islamic perspective plays a significant part in shaping students' character and social mindfulness. By coordination sharia values such as equity, tolerance, and social duty into the educational programs, it is anticipated to make a era that's not as it were scholastically cleverly but too ethically upright. This think about points to analyze how sharia values can be actualized in citizenship instruction and their affect on shaping a harmonious national identify. This investigate employs a qualitative strategy with a descriptive-analytical approach. Information were collected through in-depth interviews, participatory perceptions, and record investigation of instructive approaches and relevant educating materials. The research subjects include teachers, students, and stakeholders included within the usage of an Islamic values-based educational programs. Information investigation takes after the Miles and Huberman demonstrate, which comprises of information reduction, information introduction, and conclusion drawing. The comes about show that sharia-based citizenship instruction can reinforce national personality and foster a more concordant and capable society. The integration of sharia values into the educational programs moreover upgrades students' mindfulness of their rights and duties as citizens based on Islamic morals. In this manner, a systematic effort is required to create a significant and feasible educational programs, in conjunction with back from different partners to guarantee the compelling execution of sharia values in citizenship education.

This research examines the sanctions against premeditated murder within the framework of Indonesia's positive law and Islamic law. The study focuses on analyzing Article 340 of the Indonesian Criminal Code and Hadith Sahih al-Bukhari No. 6878 as primary sources. The method employed is descriptive-analytical with a normative juridical approach, using literature review and qualitative analysis. The findings reveal that both legal systems regard premeditated murder as a serious violation of the right to life. The imposed sanctions aim not only to punish but also to protect social stability and uphold human dignity. The maqāṣid al-sharī‘ah approach, particularly the principle of protecting life, serves as a fundamental basis for these sanctions. This study recommends the integration of substantive justice values and the protection of the right to life in the future development of the national criminal law system.

The development of digital technology encourages traditional culinary business actors to adapt to e-commerce services in order to expand market reach and improve service efficiency. This study aims to analyze the digital innovation implemented by the Soto Banjar business in Sawojajar, Malang City, in facing challenges and opportunities in the digital era. Using a descriptive qualitative approach with a case study method, data was collected through interviews, observations, and documentation. The results of the study show that the integration of digital platforms such as GrabFood, ShopeeFood, Instagram, and WhatsApp has a positive impact on the effectiveness of promotions, ordering systems, and product distribution. Service innovations such as pre-order systems and attractive packaging help strengthen product image and increase customer satisfaction. Despite facing challenges such as digital promotion costs and spikes in demand, digital transformation has proven to be able to increase the competitiveness and sustainability of this traditional culinary business.

This study employs a qualitative method through a literature review approach and aims to examine the utilization of interactive learning in enhancing educational innovation in the digital era. The study is driven by the urgency to adapt learning processes to the rapid advancement of technology, requiring strategies that optimize the use of interactive media in teaching and learning activities. Based on a review of various academic sources such as books, journals, and scientific articles, it is found that interactive learning holds great potential in creating engaging learning environments, increasing student participation, and stimulating creativity and innovation. The integration of digital technology in interactive learning is also considered effective in expanding access to information, facilitating better understanding of learning materials, and enriching learning resources. Therefore, the literature reviewed indicates that developing technology-based interactive learning is highly relevant to improving the quality of education in facing the challenges of the digital age.

Unemployment remains a structural problem in Indonesia with an open unemployment rate reaching 4.91% (BPS, 2024). This study aims to examine the concept of kasb (earning a living) from the perspective of Imam Al-Syaibani and its relevance in the socio-economic context of contemporary Indonesia. The method used is a qualitative literature study with a descriptive-analytical approach, collecting and analyzing classical to contemporary literature related to Al-Syaibani's thoughts and the issue of unemployment. The results of the study show that the concept of kasb emphasizes work as worship that must be carried out in a halal manner, oriented towards a balance between individual (self-interest) and social (public-interest) interests. Al-Syaibani classifies economic endeavors into four types: ijarah (rent), tijarah (trade), zaira'ah (agriculture), and sina'ah (industry), with agriculture as the main sector that brings blessings. This concept is relevant to improving work ethic, productivity, and social responsibility, so that it can be a theoretical and practical solution in reducing unemployment. The integration of spiritual values ​​in economic activities, such as the intention of worship and fair distribution of wealth, can encourage collective welfare. This study contributes to the development of Islamic economics by offering a holistic perspective that combines moral and technical dimensions in overcoming unemployment

The Majapahit Museum houses a significant collection of tosan aji, particularly keris, which holds important historical, technological, and symbolic value within Javanese culture. However, a substantial portion of the collection lacks clear provenance and stratigraphic context, resulting in data gaps and potential misinterpretations, especially regarding Majapahit-period attribution. This study aims to examine strategies for managing non-stratigraphic keris collections through standardized visual-morphological identification as an initial curatorial approach. The research employs direct artifact observation, morphological analysis of blades and ricikan, visual examination of pamor configurations, and a review of museological, keris studies, and archaeometallurgical literature. The findings demonstrate that standardized morphological identification provides a systematic framework for preliminary classification while preventing speculative chronological claims. The study also emphasizes the necessity of separating blade analysis from keris fittings and highlights the limitations of visual assessment in determining tangguh, which requires support from non-destructive metallurgical analyses. As a practical contribution, this article proposes strengthening curatorial standards through the development of morphology-based artifact labels (manual and digital), multidisciplinary scholarly catalogues, and the integration of documentation and material analysis technologies. This approach positions the Majapahit Museum as a knowledge-producing institution in tosan aji studies rather than merely a repository of artifacts.   Kata Kunci : Museum Majapahit, Keris, Identifikasi Morfologis, Ricikan, Tangguh Keris

The agribusiness sector plays a crucial role in the economy, especially in developing countries like Indonesia. However, traditional challenges such as limited land, climate change, and conventional farming practices often hamper productivity. Integration of technology in agribusiness offers innovative solutions to overcome these constraints and improve efficiency and yields. This study uses a descriptive qualitative approach with a literature study research design that focuses and aims to identify and analyze effective technology-based agribusiness development strategies to increase productivity sustainably. By exploring various technologies such as precision agriculture, Internet of Things (IoT), artificial intelligence (AI), and biotechnology, and their implementation in increasing productivity in various agribusiness subsectors. This study discusses the challenges and opportunities in technology adoption in the agribusiness sector, and recommends policies and strategies to encourage digital transformation in agriculture.

Perineal wounds are a common condition experienced by postpartum mothers after vaginal delivery and can potentially cause pain, discomfort, and the risk of infection if not properly cared for. Effective, safe, and culturally appropriate perineal wound care is a crucial need in postpartum care, especially at the primary health care level. Green betel leaves (Piper betle L.) are known to have antiseptic and anti-inflammatory properties that have the potential to support the wound healing process. This study aims to analyze the effect of green betel leaf water baths on the perineal wound healing process in postpartum mothers in the Sikui Community Health Center (UPT) work area. This study used a quantitative quasi-experimental design with a one-group pretest–posttest approach. The study was conducted in June–July 2025 with 18 postpartum mothers with grade I and II perineal wounds as respondents. Wound condition assessment before intervention was carried out using the REEDA instrument as a baseline condition, while healing results were evaluated based on clinical outcomes and the duration of perineal wound healing. Data analysis was conducted descriptively. The results showed that all respondents experienced clinical perineal wound healing after the green betel leaf water bath intervention. The majority of postpartum mothers experienced wound healing in less than one week, with a median healing time of 5.5 days. In conclusion, green betel leaf water bath has the potential to support the perineal wound healing process in postpartum mothers. This intervention can be considered a safe, easy-to-implement, and relevant complementary therapy for integration into postpartum care in primary healthcare settings.

This study explores the integration of AI-driven process optimization in Waste-to-Energy (WtE) systems to enhance urban sustainability. The research focuses on designing a gasification-based WtE system, incorporating AI predictive control to optimize energy conversion processes. The AI system adjusts operational parameters in real-time, improving energy conversion efficiency by 25% and reducing carbon emissions by 40%. Additionally, the system's waste-to-energy conversion rate is projected to increase by 20%, and operational costs are expected to decrease by 30%. Data collection and analysis are carried out using advanced sensors to monitor key parameters such as temperature, gas composition, and energy output, which are then processed by machine learning algorithms for predictive analysis. The results show that the AI optimization significantly enhances system performance, offering a sustainable solution for urban waste management. The study highlights the technical and operational challenges of integrating AI into existing WtE systems, including the need for infrastructure upgrades and scalability considerations. It also discusses the socio-economic impacts, including job creation, reduced energy costs, and improved public health. The findings demonstrate the potential of AI-based WtE systems in reducing waste, generating clean energy, and mitigating climate change, positioning them as a viable solution for sustainable urban development.