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Allergic rhinitis (AR) is a chronic inflammatory disorder of the nasal mucosa mediated by immunoglobulin E (IgE) in response to allergen exposure. This condition has become a significant global health concern because of its increasing prevalence and substantial impact on quality of life, sleep, cognitive function, and work productivity. AR is also commonly associated with other atopic diseases, including asthma and atopic dermatitis. This article aims to review the current understanding of allergic rhinitis, focusing on epidemiology, pathophysiology, clinical manifestations, diagnostic approaches, and evidence-based management strategies. This study used a narrative literature review method by analyzing scientific articles, clinical guidelines, and peer-reviewed journals published between 2015 and 2025. Literature sources were obtained from PubMed, Google Scholar, and relevant medical databases using keywords related to allergic rhinitis, IgE, diagnosis, and immunotherapy. The findings indicate that allergic rhinitis involves complex immune mechanisms characterized by Th2 lymphocyte activation, IgE production, and inflammatory mediator release. Diagnosis is primarily established clinically and supported by allergy testing such as skin prick tests or serum-specific IgE measurement. Intranasal corticosteroids remain the first-line therapy for moderate to severe cases, while antihistamines and leukotriene receptor antagonists are used as adjunctive therapies. Allergen immunotherapy has shown effectiveness in modifying disease progression and improving long-term outcomes. In conclusion, allergic rhinitis is a manageable chronic disease that requires a comprehensive and individualized treatment approach involving environmental control, pharmacotherapy, and immunotherapy.

Chili pepper (Capsicum annuum L.) is recognized as one of the horticultural commodities with significant economic value and an important contribution to food security in Indonesia. However, conventional cultivation practices still face various challenges, including limited land availability, climate uncertainty, and disturbances from plant pests and diseases. These conditions highlight the need for the implementation of innovative technologies to improve production efficiency while maintaining yield stability. One approach that has been increasingly developed is the hydroponic system, a cultivation technique that does not rely on soil as a growing medium but instead utilizes nutrient solutions as the primary source of essential elements. This article aims to examine various aspects of hydroponic chili cultivation, including the roles and benefits of the plant, different types of hydroponic systems, abiotic and biotic stress factors, and cultivation management strategies. Based on the review conducted, hydroponic systems, when supported by optimal nutrient management and environmental conditions, are capable of enhancing both the yield and quality of chili plants. Therefore, the development of hydroponic-based chili cultivation is considered to have promising prospects as a solution to support sustainable agriculture in the future.

Magelang City faces the challenge of limited land availability, with a total area of only 18.58 km2 and a high population density. Consequently, telecommunications infrastructure development requires a precise strategy. This study aims to analyze the business model and investment feasibility of Pole and Greenfield type telecommunication towers in Magelang City. Using a descriptive quantitative approach, this research processes secondary data from PT Dayamitra Telekomunikasi Indonesia by applying feasibility analysis based on Life Cycle Costing (LCC), Net Present Value (NPV), Internal Rate of Return (IRR), Break-Even Point (BEP), Payback Period (PP), and Benefit-Cost Ratio (BCR). The results indicate significant differences in cost structures; Pole towers proved to be more efficient, requiring an initial capital outlay of only 28.8% of the total capital required for Greenfield towers. Greenfield towers generated an NPV of Rp13.07 billion with an IRR of 20%, while Pole towers generated an NPV of Rp2.46 billion with a higher IRR of 23%. Pole towers have proven to offer a faster return on investment and better operational cost efficiency, making them the most strategic option to support network densification and the implementation of 5G technology in urban areas with spatial constraints like Magelang City.

The problem lies in the quality of the umbrella nails for asbestos or zinc roofs which often experience damage to the nail head is not large enough, the tip of the nail is blunt, thus damaging the roof material, and susceptibility to corrosion due to weather, and slow manual production. The purpose of making is to obtain umbrella nails with a length of 50 mm and a diameter of 2.5 mm which are strong, pointed tips, relatively fast. The manufacturing method includes: making cylindrical umbrella pieces from 2 mm thick aluminum with a diameter of 25 mm and a 1.5 mm hole center, selecting raw materials for low carbon steel wire, AISI 1020 in the form of a 3 mm diameter coil, straightening and reducing the cross-section of wire using a die (wire drawing),, forming the nail head (cold heading), mechanically cutting the pointed end, forming the nail umbrella from cylindrical pieces that have been inserted with 50 mm long nails and pressed, immersing the umbrella nails in 500oC zinc liquid (galvanizing) for 2 minutes, checking dimensions and quality standards. The manufacturing results are in the form of strong zinc-coated thumbtacks measuring 50 mm in length, 2.5 mm in diameter, 1.2 mm in thickness of the thumbtack plate, total production cost of IDR 340/unit, and process duration of 12 seconds/unit, which implies that the need for strong and corrosion-resistant thumbtacks can be met for various related engineering needs.

This study aims to analyze the process of internalizing legal values in the formation of a culture of law-abidingness by emphasizing the perspective of civic responsibility and the Islamic Sociological Jurisprudence Theory approach. The main problem studied is how legal values are not only understood normatively, but also internalized in the individual and collective consciousness of society, thus giving rise to sustainable law-abiding behavior. The research method used is a normative juridical approach with strengthening conceptual and sociological analysis of legal dynamics in society. The results show that the internalization of legal values is a multidimensional process involving cognitive, affective, and spiritual aspects, which are influenced by education, the social environment, role models, and the consistency of law enforcement. In the context of civic responsibility, a culture of law-abidingness is not only formal compliance with regulations, but also reflects moral awareness and active participation of citizens in maintaining social order. Meanwhile, Islamic Sociological Jurisprudence Theory offers an integrative paradigm that combines the normative dimensions of sharia with social reality, through a comparative approach of schools of thought, maqāṣid al-syarī‘ah, and an orientation toward the welfare of the people. This research emphasizes that the formation of an effective culture of law-abidingness requires a holistic and contextual approach, in which law is understood as a living and adaptive social instrument. Thus, the internalization of legal values based on civic responsibility and an Islamic sociological jurisprudence approach can encourage the realization of substantive justice, high legal awareness, and a civilized and sustainable social order.    

In the era of the Industrial Revolution 4.0 and Society 5.0, digital technology is developing rapidly. This has prompted the world of education to make major changes in learning methods, including in Islamic Religious Education (PAI). Until now, PAI has used outdated methods. These methods are inadequate to meet the needs of children who are accustomed to technology. Therefore, there is a need for technology integration in the learning process. This study aims to determine how to use E-Learning, Learning Management Systems (LMS), and Artificial Intelligence (AI) in PAI learning. This study also aims to determine the benefits, challenges, and strategies for implementing these technologies. This study used a qualitative approach with a literature review type. Data were obtained from various sources, such as books, scientific articles, journals, and relevant documents. The results show that the use of E-Learning, LMS, and AI can improve the quality of PAI learning. E-Learning makes learning easier and more flexible. LMS helps manage learning more systematically. AI helps make learning more personalized and tailored to students' needs. However, the implementation of these technologies still faces several challenges, such as limited infrastructure and low digital skills of teachers and students. Therefore, a strategy is needed to address these challenges. This strategy includes enhancing digital capabilities, strengthening technological infrastructure, developing innovative learning media, and monitoring the use of technology based on Islamic values. This will ensure optimal integration of technology into Islamic Religious Education learning.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- processing (text cleaning, normalization, and tokenization), labeling sentiment into positive, negative, and neutral, and testing the Naïve Bayes model. The results show that the Naïve Bayes algorithm is able to classify sentiment with an accuracy level of 93.73%. The distribution of sentiment from 1004 comments shows that the majority of public opinion is (negative/positive/neutral), which indicates that public perception of the performance of law is still (critical/positive). These findings are expected to be input for related parties to understand public opinion and improve the quality of legal performance in

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

The Baduy community in Kanekes Village has economic potential based on traditional crafts with high cultural value, such as weaving and woven fabrics. However, the management of craft businesses is still carried out in a simple manner without a structured human resource (HR) management system. Problems faced include the lack of a clear division of tasks, inefficient production processes, and limited marketing strategies. These conditions hamper the optimal development of craft businesses. This community service activity aims to strengthen human resource management based on local wisdom in order to increase the capacity of traditional craft businesses in the Baduy community. The solution offered is training and mentoring on simple business management adapted to traditional values. Activities include socializing the importance of HR management, training on the division of labor within groups, improving production skills, and developing marketing strategies that respect local wisdom. The implementation method uses a participatory approach through the stages of preparation, training, mentoring, evaluation, and program sustainability. The community is actively involved in every stage of the activity to ensure the program's suitability to local socio-cultural conditions. This activity results in increased human resource capacity in craft business management, the establishment of a more organized work system, and an increased economic value of craft products. In addition, this activity is expected to produce a community empowerment model based on local wisdom and scientific publications in community service journals.

Microplastics are extremely small plastic particles that have become a major concern in public health and environmental studies. This literature review aims to discuss the sources of microplastics, their routes of exposure to the human body, their distribution in organs, and their potential health impacts. The method used was a literature review of scientific articles and reports published from 2021 onward, retrieved from Google Scholar, PubMed, ScienceDirect, and official websites of organizations such as the WHO, OECD, and the World Bank. The review findings show that microplastics originate from plastic waste, synthetic clothing, cosmetics, vehicle tires, and food packaging. These particles have been detected in blood, lungs, the placenta, feces, and various human tissues, indicating that human exposure is widespread. However, evidence from human studies is still limited, so cause-and-effect relationships cannot yet be confirmed with certainty. Based on these findings, further research is needed to better understand the long-term health effects of microplastics. In addition, efforts to reduce single-use plastics, improve waste management systems, and increase public education are essential to reduce exposure and prevent future health risks.

This study aims to analyze the integration of Pancasila values and Islamic Religious Education (PAI) in shaping digital ethics and to examine the development of digital law through the Islamic Sociological Jurisprudence Theory approach. This research employs a qualitative method with a literature study approach based on relevant academic sources and journals. The findings indicate that the integration of Pancasila and PAI serves as a comprehensive ethical foundation in shaping digital behavior by reinforcing moral, spiritual, and social values. Furthermore, digital law is understood as a product of the interaction between social and religious values, which is dynamic and adaptive to technological developments. The Islamic Sociological Jurisprudence Theory contributes to constructing a legal paradigm that is not only formal-legal but also contextual and oriented toward public welfare (maslahah). The ethical-based digital law development model integrating Pancasila and Islamic values is considered relevant in addressing contemporary digital challenges, such as misinformation, privacy violations, and cybercrime. However, this study also identifies limitations, particularly in the implementation aspect, which remains largely normative and has not been optimally integrated into concrete policies. Therefore, it is necessary to strengthen adaptive regulations, develop applicable digital ethics education, and conduct further empirical research to establish a just and sustainable digital legal system.

This study aims to examine the debate regarding the effectiveness of traditional learning methods in science education at Madrasah Ibtidaiyah (MI) amid the development of educational digitalization. The study employed a qualitative approach with a case study design conducted in Jember Regency for three months, from February to April 2026. The research informants consisted of 16 participants, including madrasa principals, teachers, parents, and community members. Data collection techniques were carried out through interviews, observations, and documentation, which were then analyzed using descriptive qualitative techniques. The findings revealed that traditional methods are still considered effective in helping students understand basic science concepts because the learning process is systematic and easy to comprehend. However, limited access to technology in several schools remains an obstacle to the equal implementation of digital learning. In addition, although digital learning can increase students’ motivation and engagement, it does not necessarily lead to an optimal improvement in conceptual understanding. Therefore, this study concludes that a combination of traditional and digital learning methods is the most appropriate approach in science learning at elementary schools and Madrasah Ibtidaiyah, considering students’ needs as well as the availability of facilities and infrastructure. structure.

Gesture  recognition  technology  is  used  to  detect  movements  through  image processing,   enabling  computers  or digital devices to understand and interpret human  body  movements  as  input  or  commands.   This  technology  has  great potential  to bridge communication between the deaf community and individuals without   hearing   impairments,    enhancing  interaction  and  enriching  mutual understanding between the two.  However,  the accuracy ofgesture recognition is often  affected  by variations in the distance between hand landmarks.  Based on this problem,  this research proposes a methodfor stabilizing the measurement of distances between landmark points  in gesture recognition through a polynomial regression  approach.   Specifically,   the  distance  between  hand  landmarks  is calculated and stabilized using polynomial  regression to improve the accuracy of gesture recognition.  This method is implemented using the MediaPipeframework to detect and track hands in real-time,  and the OpenCV library to manage video. The  research  results  show  that  this  approach  can  significantly  improve  the stability  and accuracy  of gesture detection.   The developed system successfully detects gestures for  letters A  through F with a high accuracy  rate,  averaging above 98,3%.  The use ofpolynomial regression helps enhance detection accuracy by reducing noise in the landmark data.

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.

Jakarta, the capital of Indonesia, is known for its high congestion levels. Data from the TomTom Traffic Index shows that Jakarta ranked 30th in the world in 2023 as one of the most congested cities, with a congestion level reaching 53% during peak hours. Pisangan Lama in East Jakarta is one of the densely populated areas, adjacent to busy roads. The main campus of STIKOM CKI, also located in East Jakarta, is situated along a route prone to heavy traffic. Given the congestion issues and the lack of information on the nearest routes, this study aims to implement the A* algorithm to find the shortest route from Pisangan Lama, East Jakarta, to the main campus of STIKOM CKI. The A* algorithm is chosen for its optimal routing capabilities. Based on research on three routes (Jl. I Gusti Ngurah Rai, Jl. Basuki Rachmat, and Jl. Raya Kalimalang), the results show that the route via Jl. Basuki Rachmat is the shortest, with a distance of 7.7 km. The implementation of the A* algorithm is expected to provide an efficient solution for the community in finding the nearest route.

Nurse workload is the total number or volume of tasks that must be completed by nurses during their professional practice in hospitals, including both physical and mental responsibilities in providing nursing care to patients. Meanwhile, nurse burnout is a condition of emotional and mental fatigue experienced by nurses due to prolonged work pressure and the high intensity of emotional demands in the hospital environment. However, workload problems are still commonly found in hospitals, with one of the main contributing factors being work stress caused by excessive job demands and continuous pressure during work activities. The population in this study were outpatient, inpatient and emergency nurses at Ibnu Sina Islamic Hospital, Bukittinggi in 2025 This study used a quantitative method with a cross-sectional approach, analyzing the relationship between one variable and another. This study had 130 samples consisting of outpatient nurses, inpatient nurses, and emergency room nurses. Sampling was carried out using a total sampling technique. The results of this study indicate a significant relationship between workload and burnout at a significance level of 0.00 (≤ 0.05). There is a significant relationship between workload and nurse fatigue at Ibnu Sina Islamic Hospital Bukittinggi in 2025.

This research is based on the importance of studying Malay-Jawi religious manuscripts as a source of transmission of Islamic teachings in the archipelago, particularly in the field of monotheism. The study aims to examine the textual content of Jawi manuscripts containing the treatise of monotheism, especially the concept of the sentence of monotheism and the attributes of twenty, and to explain their position in the intellectual tradition of Malay Islam. The research employs This research is based on the importance of studying Malay-Jawi religious manuscripts as a source of transmission of Islamic teachings in the archipelago, particularly in the field of monotheism. The study aims to examine the textual content of Jawi manuscripts containing the treatise of monotheism, especially the concept of the sentence of monotheism and the attributes of twenty, and to explain their position in the intellectual tradition of Malay Islam. The research employs a qualitative method with a philological approach and content analysis. Primary data consist of Jawi manuscripts, while secondary data are obtained through library research. Data were collected through documentation and literature review and analyzed descriptively. The findings reveal that the manuscripts contain systematically arranged monotheistic teachings, including the meaning of lā ilāha illa Allāh through the principles of negation and affirmation, as well as the concept of faith involving the heart, speech, and actions. The manuscripts also explain the twenty attributes within the classifications of nafsiyah, salbiyah, ma‘ani, and ma‘nawiyah, reflecting the theological framework of Ahlussunnah wal Jama‘ah. These manuscripts function as both religious texts and pedagogical media, highlighting the importance of preserving Nusantara Islamic manuscripts as part of the region’s intellectual heritage.

High feed costs remain a major constraint in Nile tilapia (Oreochromis niloticus) aquaculture, requiring alternative feed formulations based on local ingredients with adequate nutritional quality. This study aimed to evaluate the proximate composition of fish feed formulated from snail meal, Azolla meal, and turmeric as a phytobiotic supplement. The study used an experimental method with a Completely Randomized Design consisting of three treatments and three replications. The feed formulations were P1, consisting of 55% snail meal, 25% Azolla meal, 5% turmeric, 10% corn flour, and 5% tapioca flour; P2, consisting of 39% snail meal, 39% Azolla meal, 7% turmeric, 10% corn flour, and 5% tapioca flour; and P3, consisting of 25% snail meal, 51% Azolla meal, 9% turmeric, 10% corn flour, and 5% tapioca flour. The analyzed parameters included protein, moisture, fat, ash, crude fiber, and carbohydrate contents. Data were analyzed using analysis of variance followed by the Least Significant Difference test. The results showed that feed formulation significantly affected all proximate parameters. P3 produced the highest protein content of 43.87%, fat content of 3.68%, crude fiber of 3.11%, and carbohydrate content of 7.28%, while also producing the lowest ash content of 28.46%. Moisture content ranged from 1.11% to 1.30%, indicating good feed storage stability. These findings demonstrate that the integration of snail meal, Azolla, and turmeric can improve the nutritional quality of alternative Nile tilapia feed and support locally based sustainable aquaculture feed development.

This community service activity is motivated by the increasing volume of household plastic waste that has not been optimally managed, thus potentially polluting the environment. Utilizing inorganic waste, especially used plastic bottles, as a planting medium is a simple solution to reduce pollution while increasing community creativity. This activity aims to increase community knowledge and skills in utilizing used plastic bottles as a useful and economically valuable planting medium container. The Women Farmers Group (KWT) participated in this activity on May 1, 2026 in Gempol Sari Village, Sepatan Timur District, Tangerang Regency, Banten Province. Participatory Action Research (PAR) strategies were used to carry out implementation techniques, which included socialization, training, direct practice, mentoring, and assessment. Pre- and post-activity tests were given and evaluated using Paired Sample T-Tests to assess the activity. After participating in the training, the level of participant understanding increased, in accordance with the results of the activity. Participants' knowledge increased significantly through this exercise, as indicated by a significant increase in their average post-test score from 92.86 to 78.57 (p < 0.05). In addition, participants were able to independently practice making simple planting media from used plastic bottles. This activity has positive implications for increasing environmental awareness and community creativity, as well as supporting economic empowerment and sustainable environmental management efforts.