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This study aimed to better understand how factors like price, taste, and location affect how much consumers want to buy Elo Pia Kediri products. The research used a quantitative method because it helps collect objective and measurable information that can be analyzed using statistics to make clear conclusions. The data came from two main places: primary and secondary sources. Primary data was gathered directly from consumers through questionnaires that asked about price, taste, location, and how much they wanted to buy the product. Secondary data was collected from books, articles, and other documents related to the topic. The study included all consumers who had bought Elo Pia Kediri products. However, since the total number of people wasn’t known and was quite large, the researcher selected a representative group. The sample size was 96 people. The method used to choose participants was accidental sampling, which means people were selected randomly or by chance as they were met at the research location and agreed to take part. The results showed that price has a big effect on how much consumers want to buy the product. This means the prices set by Elo Pia Kediri match what consumers can afford and what they think is fair, which helps them decide to buy. When prices are seen as fair, affordable, and matching the quality of the product, it encourages people to make purchases. Taste also strongly influences buying interest. When a product has a tasty and unique flavor that fits what people like, it makes them interested in buying it. Taste is an emotional factor that affects how happy consumers are with the product and makes them want to buy it again. Location also plays a big role in how much people want to buy. A location that is easy to reach and close to where people usually go out makes it easier for them to buy Elo Pia Kediri products. The F test showed that together, price, taste, and location all have a significant impact on how much consumers want to buy the product.  

Trigona sp. propolis simplicia is widely used by the community as a traditional medicine that has many benefits so that this propolis can treat sore throats, flu, and support the immune system. Propolis cultivation is increasingly developing, but there is no scientific data regarding the standardization of raw propolis simplicia. This study aims to determine the standard parameters of Trigona sp. propolis simplicia from Balikpapan. Specific parameters measured on Trigona sp. propolis simplicia include organoleptic tests, identification of chemical compounds, and tests of water-soluble and ethanol extract levels. Non-specific parameters include water content tests, total ash content tests, and acid-insoluble ash content tests. Trigona sp. propolis simplicia in organoleptic tests has a solid form, a distinctive aromatic odor, a blackish brown color, and a slightly bitter sour taste. Trigona sp. propolis simplicia was positively identified as containing compounds of the alkaloid, flavonoid, triterpenoid/steroid, and tannin groups, while saponins were identified negatively. Trigona sp propolis simplicia has ethanol and water soluble extract content values ​​of 10% ± 0.008 and 14.4% ± 0.003 respectively, the water content value obtained is 1.3% ± 0.002, the total ash content and acid insoluble ash content values ​​are 3.67% ± 0.008 and 1.5% ± 0.005 respectively.

This study highlights the crucial role of learning interest as a key determinant of success in the educational process. The research was conducted through interviews with teachers and direct observations in the learning environment, aiming to explore how various factors influence students’ interest, particularly in religious education. The findings indicate that teachers play an essential role by adopting creative approaches in their teaching methods. For instance, the integration of digital tools, such as instructional videos, was found to be highly effective in capturing students’ attention and enhancing their engagement during lessons. Furthermore, parental support emerged as a significant factor, as parents act as the first educators at home by instilling fundamental religious values and attitudes that shape students’ motivation. The results also suggest that a positive classroom atmosphere, where students feel appreciated and supported by their teachers, contributes to higher levels of interest and participation in religious studies. In addition, the study emphasizes the importance of differentiated instruction, where tasks are adjusted to match students’ abilities and learning needs. By connecting lesson materials with real-life experiences, teachers can further foster students’ intrinsic motivation, making learning more meaningful and relevant. Overall, the research demonstrates that cultivating interest in learning requires collaboration between teachers, parents, and supportive learning environments.

In an ever-evolving digital era, the protection of human rights has become an increasingly complex and urgent challenge. Digital constitutionalism emerges as an innovative and necessary framework to address this challenge, integrating human rights principles into technology-based state governance. This journal aims to explore how digital constitutionalism can strengthen the protection of human rights while analyzing the challenges and opportunities faced in its implementation. Through a qualitative analysis approach, this research collects and analyzes relevant literature as well as case studies from various countries that have adopted the principles of digital constitutionalism. The findings indicate that while digital constitutionalism offers significant potential to enhance human rights protection, substantial challenges such as privacy, data security, and access to information still need to be addressed. Furthermore, the role of government, civil society, and the private sector is crucial in creating an environment that supports the protection of human rights in the digital space. The conclusion of this research emphasizes the importance of cross-sector collaboration to ensure that human rights are not only constitutionally recognized but also effectively protected in practice. Thus, digital constitutionalism serves not only as a tool for safeguarding human rights but also as a driver for creating a more transparent, accountable, and responsive governance system to meet the needs of society in the digital era.

The implementation of the Land Dispute Handling and Resolution Policy through Mediation at the Pekanbaru City Land Office has several phenomena such as the number of mediations exceeding the target every year, no change in targets, and a low number of resolutions through mediation. This policy aims to provide legal certainty in order to implement land policy, which is one of the tasks and functions of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency. The purpose of this research is to analyze and describe the Implementation of Land Dispute Handling and Resolution Policy Through Mediation at the Pekanbaru City Land Office. Additionally, it aims to identify the inhibiting factors of the Implementation of Land Dispute Handling and Resolution Policy Through Mediation at the Pekanbaru City Land Office using the Policy Implementation theory according to Van Meter and Van Horn. This research employs a qualitative descriptive research type by collecting data through interviews, observations, and documentation. The results of this study indicate that the Implementation of Land Dispute Handling and Resolution Policy Through Mediation at the Pekanbaru City Land Office has not been carried out effectively due to several shortcomings in various factors. The inhibiting factors include the complexity of synchronizing mediation schedules, inadequate budget, and low mediation success rate.

The long-term care required by schizophrenia patients places a heavy burden on caregivers who are responsible for meeting the patients' needs. Performing these caregiving tasks often causes physical and emotional stress on caregivers, especially due to the long-term nature of the care. In situations like this, coping strategies play a crucial role in supporting the well-being of caregivers so that they are able to face the challenges that arise during the process of caring for schizophrenic patients. This study focuses on examining the correlation between coping strategies and the quality of life of caregivers who provide care for schizophrenic patients at the Aceh Mental Hospital Polyclinic. The research design applied was analytical with a cross-sectional approach. A total of 115 caregivers were sampled through accidental sampling from a total population of 4,035 families. Research data were collected using two measuring instruments, namely the Brief COPE questionnaire and The Schizophrenia Caregiver Quality of Life Questionnaire (SCGQoL). The research process took place at the Aceh Mental Hospital Polyclinic from March 6 to 24, 2025. Data analysis used univariate and bivariate methods. Based on the research results, it was found that 108 caregivers (93.9%) were in the low coping strategy category, while 80 caregivers (69.6%) had a moderate quality of life. Statistical testing with Chi-Square produced a p-value of 0.001, which indicates a significant relationship between coping strategies and the quality of life of caregivers. Therefore, it is hoped that health care institutions can improve mental health nursing interventions for patients' families, particularly through educational programs on managing schizophrenia patients at home and assistance in identifying adaptive coping resources for patients' families.

The Hazard and Operability (HAZOP) methodology is a qualitative risk analysis technique commonly used to detect potential work hazards. CV. Suryadi Sentosa, also known as Bapak Suryadi's Home Tempe Industry, is a home-based business that produces tempeh. Almost all of the production procedures are still carried out manually, and occupational accident analysis measures have not been implemented. The factory conditions indicate inadequate lighting and ventilation, as well as relatively slippery floors. It is also observed that the industry workers do not pay much attention to their posture, and they do not use personal protective equipment (PPE). This research was conducted directly at the CV. Suryadi Sentosa Tempe Factory, using interviews and observations of seven workers involved in the production process. The steps taken in this study are compiling the sequence of the production process. By using a Hazard and Operability (HAZOP) worksheet, identify potential risks, conduct risk control analysis, monitor and evaluate, implement improvements, and draw conclusions. The analysis found 9 stages of tempeh production at Mr. Suryadi's facility. Several improvements are needed, including involving several workers to handle soybean processing, creating ventilation to provide good and healthy air circulation for workers, adding lighting as a light source so that workers can perform their tasks comfortably, and using ergonomic chairs and work tables to prevent fatigue and increase factory productivity.

Mozzarella cheese is traditionally made using rennet, an enzyme derived from the stomach lining of ruminant animals that plays a key role in coagulating milk. While effective, rennet has certain limitations such as its limited availability, relatively high cost, and concerns among vegetarians and certain religious groups regarding its animal origin. As a result, alternative coagulants that are easier to obtain, plant-based, and more environmentally friendly have gained interest. One such natural ingredient is lemon juice, which contains citric acid and can mimic the coagulation effect of rennet. This study aims to explore the effectiveness of lemon juice as a rennet substitute in the production of mozzarella cheese, specifically when applied in a food product like cheese-stuffed potato balls. The research involved organoleptic testing by 30 panelists to evaluate five sensory aspects: color, aroma, taste, texture, and overall acceptance. Several formulations were tested, and the sample containing 20 ml of lemon juice, 2 grams of citric acid, and an additional herb mix (Sample C) was rated the highest in preference across most parameters. The findings suggest that lemon juice is a viable alternative to rennet in mozzarella cheese making, particularly for small-scale or home-based production. It not only delivers acceptable sensory qualities but is also more accessible and affordable. Moreover, using lemon juice supports the development of more sustainable and vegetarian-friendly food options. In conclusion, lemon juice can successfully replace animal-based rennet, making mozzarella cheese production more inclusive, cost-effective, and environmentally conscious.

This study aims to analyze efforts to empower the village economy through the development of Micro, Small, and Medium Enterprises (MSMEs) based on sustainable agriculture in Kudadepa Village, Sukahening District, Tasikmalaya Regency. The background of this study is the low added value of village agricultural products that have so far relied on traditional distribution systems, so that farmers tend to sell products to collectors at less profitable prices. The research method used is descriptive qualitative with a field study approach through observation, interviews, and documentation. Research participants included agricultural MSMEs, village officials, and local consumers. The results show that strengthening the capacity of MSMEs can be done through three main strategies: improving managerial and technical skills for business actors, product innovation based on organic and environmentally friendly agriculture, and developing a broader digital marketing network. In addition, support from the village government and related institutions plays a crucial role in providing access to capital, business mentoring, and facilitating ongoing training. The conclusion of this study confirms that the development of sustainable agricultural MSMEs not only increases community income but also encourages village economic independence and environmental sustainability. Thus, the MSME-based empowerment model can be an effective strategy in building an inclusive and competitive rural economy.

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

The increasing demand for cloud computing services has led to the rapid expansion of cloud data centers, which consume significant amounts of energy and contribute substantially to global CO2 emissions. As the IT industry grows, the environmental impact of these data centers becomes an urgent concern. Green Cloud Computing (GCC) has emerged as a solution to mitigate this impact by focusing on energy efficiency and reducing carbon footprints while maintaining the necessary functionality and performance of cloud infrastructures. However, traditional blockchain consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) face limitations regarding energy consumption and scalability, which exacerbates the environmental burden. This study proposes a quantum-inspired blockchain consensus algorithm designed to optimize energy consumption and reduce latency in cloud data centers. By integrating quantum principles such as superposition and entanglement, the algorithm enhances task scheduling and resource utilization, enabling more energy-efficient operations without sacrificing performance. Simulations in a green cloud environment showed that the quantum-inspired algorithm resulted in up to a 30% reduction in energy usage compared to traditional consensus methods, with a 40% improvement in consensus processing time. These results suggest that quantum-inspired algorithms hold significant potential for enhancing the sustainability of cloud infrastructures by improving energy efficiency and scalability. Furthermore, this study discusses the feasibility of implementing quantum-inspired algorithms on classical hardware, addressing challenges in scalability and integration into existing blockchain frameworks. The findings provide valuable insights into the potential of quantum-inspired technologies to drive energy-efficient solutions in cloud computing.

Public demand for healthy, low-gluten and high-fiber food products encourages innovation in the bakery industry. This study aims to compare the texture and taste of brownies based on mocaf flour (Modified Cassava Flour) and rye flour with steamed and baked processing methods, and determine the formulation that has the best organoleptic quality. Mocaf flour was chosen because it is gluten-free, low glycemic index and locally sourced, while rye flour is rich in fiber, anthocyanin and antioxidant pigments and is beneficial for health. This study used an experimental design with three variations of mocaf proportions: rye (75:25, 50:50, 25:75) and two processing methods. Hedonic organoleptic tests were conducted by 36 panelists on aroma, taste, texture and overall reception on a likert scale of 1-7. The results showed that the processing method and the proportion of flour had a significant effect on organoleptic quality. Steamed brownies have a softer texture, while baked produce a stronger aroma and flavor. The 50:50 ratio achieves the best balance across all sensory metrics.  

This study aims to thoroughly examine the influence of menu variety, taste, and price on customers' purchasing decisions at CEZ-ROS Restaurant, located in Kediri Regency. Understanding these factors is crucial for the restaurant to enhance customer satisfaction and improve sales performance. The research employs a quantitative approach with an associative research type, designed to explore relationships between variables. The sampling technique used is accidental sampling, where respondents were selected based on convenience and their availability during the data collection period. This method allows for practical and efficient data gathering from actual restaurant customers. Data analysis involves several statistical tests to ensure accuracy and reliability. Initially, validity and reliability tests were conducted to confirm the suitability of the questionnaire. Then, multiple linear regression analysis was used to determine how menu variety, taste, and price individually and collectively influence purchasing decisions. Additionally, t-tests assessed the significance of each independent variable, while the F-test evaluated their simultaneous effect. The coefficient of determination (R²) provided insight into how much variation in purchasing decisions could be explained by these variables. The results indicate that menu variety, taste, and price significantly impact purchasing decisions both individually and together. Specifically, customers prefer restaurants offering a diverse menu, delicious food, and reasonable pricing. The F-test confirms the strong combined effect of these factors on consumer behavior. However, the coefficient of determination also suggests that while these variables are important, other external influences such as service quality, ambiance, and promotions may also affect purchasing decisions. Overall, this study highlights that CEZ-ROS Restaurant should focus on maintaining menu diversity, enhancing taste quality, and setting competitive prices to attract and retain customers effectively.

The initiative "FUN ENGLISH LISTENING FOR KIDS" at SD IT Nurul Fikri aims to enhance the English language proficiency of young learners through innovative methods. This project utilizes stereophonic styrofoam to introduce and reinforce English vocabulary among elementary school students. Under the guidance of fifth-semester students from the English Language Teaching Program at IAIN Palangka Raya, the project involves stages of introducing vocabulary, using styrofoam to associate sounds with vocabulary, and interactive sessions. This engaging learning method has successfully improved the English skills of elementary students at SD IT Nurul Fikri, demonstrating the potential of creative methods in language education.

This study aims to analyze the influence of taste, customer experience, and digital marketing on repurchase intention at Mie Ayam Panggang Demi Apa in Kediri. In the increasingly competitive culinary industry, business owners are required to maintain taste consistency, create memorable customer experiences, and optimally utilize digital platforms in their marketing strategies. These three factors are believed to play an essential role in shaping consumer behavior, particularly in encouraging repeat purchases. The research applied a quantitative survey method involving 90 respondents selected using Slovin’s formula. Respondents were customers who had made at least two purchases within the last month. Data analysis was conducted using SPSS version 26 with several statistical tests, including validity and reliability tests, classical assumption tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²). The findings indicate that taste, customer experience, and digital marketing each have a positive and significant influence on repurchase intention, both partially and simultaneously. The R² value of 0.447 shows that 44.7% of the variation in repurchase intention is explained by these three variables. Therefore, it is recommended that business owners consistently maintain product quality, enhance customer experience, and optimize digital marketing to build customer loyalty and ensure long-term business sustainability.

Empowerment is an effort to enhance the capabilities of individuals or groups so that they can perform tasks and responsibilities according to performance demands. Empowerment aims to help them meet basic needs, access productive resources, increase income, and participate in development. In the modern context, women are not only acting as housewives but also contributing in social and economic fields, working outside the home to support household expenses and improve family status. This shifts the role of women from the domestic sector to the public. Housewives have significant responsibilities in managing the household and ensuring family nutrition, which is crucial for achieving optimal health. Bananas, as a tropical fruit with high economic value, offer many health benefits, including preventing blood sugar spikes, improving digestion, supporting diet programs, and having various other benefits that are not widely known by the public.

Literacy, specifically reading, is a crucial skill for Islamic students (santri). Reading opens the door to knowledge. This article reports on literacy-boosting activities for students at the Al-Hidayah Quranic Islamic Boarding School to encourage their enthusiasm for reading. These activities include giving students reading assignments. They choose books they enjoy and have access to. Within a week, they complete their homework by reading and studying the book. At the next meeting, they are tasked with presenting what they have read and the benefits they can gain from the book's contents. The presentation is delivered orally without the aid of PowerPoint. Skills honed in this mentoring include the courage to speak freely, summarize the book's contents, extract wisdom, and the ability to persuade listeners. This activity is expected to not only improve the students' literacy skills but also shape their character, enabling them to convey information effectively and confidently. Thus, this activity plays a role in developing communication skills that will be useful for their future lives, both within the Islamic boarding school environment and in the wider community.Islamic boarding school students

This study aims to examine the influence of Brand trust (X1), Taste (X2), and Product Innovation (X3) on Consumer Purchase Intention (Y) at CFC Stasiun Kediri. The research adopts a quantitative approach with data collected through questionnaires and processed using SPSS 25. The sample was determined using purposive sampling and the Hair et al. formula, resulting in a total of 105 respondents. The analytical techniques employed include Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, t-test, F-test, and Coefficient of Determination (R²). The results show that Brand trust has a significant effect on consumer purchase intention at CFC Stasiun Kediri with a significance value of 0.000 < 0.05. Taste has a significant effect on consumer purchase intention with a significance value of 0.008 < 0.05. Product Innovation also has a significant effect on consumer purchase intention with a significance value of 0.000 < 0.05. Furthermore, Brand trust, Taste, and Product Innovation simultaneously have a significant effect on consumer purchase intention at CFC Stasiun Kediri.

This study aims to analyze the role of trainees in supporting the quality of concierge services at Lorin Solo Hotel. The research employed a descriptive qualitative method, collecting data through observation, interviews, and literature review, with participants consisting of concierge trainees, bellcaptains, and the trainee coordinator. The findings reveal that trainees play a crucial role in daily concierge operations, such as welcoming guests, assisting with luggage, providing basic information, and supporting light administrative tasks. Their presence helps speed up service delivery, reduce the workload of permanent staff, and strengthen guest interaction, particularly during high season periods. However, several challenges were identified, including limited experience and practical skills, insufficient knowledge of hotel products and local destinations, lack of active supervision, and short internship durations. These factors impact certain service dimensions, such as assurance and reliability. The study recommends comprehensive pre-placement training, the development of specific SOPs for concierge trainees, improvement in foreign language skills, and regular mentoring from senior staff. These measures are expected to enhance trainee professionalism and overall concierge service quality.

This study examines the application of Educational Data Mining (EDM) to predict the academic per-formance of first-year students at the Catholic University of Bukavu and the Higher Institute of Edu-cation (ISP) in the Democratic Republic of Congo. The primary objective is to develop a model that can identify at-risk students early, providing the university with a tool to enhance student support and academic guidance. To address the challenges posed by data imbalance (where successful cases outnumber failures), the study adopts a hybrid methodological approach. First, the SMOTE algorithm was applied to balance the dataset. Then, a stacking classification model was developed to combine the predictive power of multiple algorithms. The variables used for prediction include the National Exam score (PEx), the secondary school track (Humanities), and the type of prior institution (public, private, or religious-affiliated schools), as well as age and sex. The results demonstrate that this approach is highly effective. The model is not only capable of predicting success or failure but also of forecasting students' performance levels (e.g., honors or distinctions). Moreover, the use of the Apriori association rule mining algorithm allowed the identification of faculty-specific success profiles, transforming prediction into an interpretable decision-support tool. This research makes several significant contributions. Practically, it provides the University of Bukavu with a tool for student orientation and early risk detection. Methodologically, it illustrates the effectiveness of a combined approach to EDM in an African context. However, the study acknowledges certain limitations, including the non-public nature of the data and the geographical specificity of the sample. It therefore proposes avenues for future research, such as the integration of Explainable AI (XAI) techniques for more refined and transparent analysis of the results.