bluuebunny/crossref_metadata_2025 huggingface dataset:
A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Non-Cancer-Related Cirrhotic Patients- A Multi-Centre Longitudinal Cohort Study in Taiwan (Preprint)
Authors: Tsai Yi-Wen , Chen Hsin-Yu , Cheng Yiu-Hua , Yeh Wei-Chung , Chen Yi-Chuan
Published: February 2025

BACKGROUND

Hepatic encephalopathy (HE) accounts for a significant mortality risk in patients with liver cirrhosis. Early identification of their prognosis and incidence of complications are crucial, but challenging, for physicians in decision making and treatment strategy, especially for treating non-cancer-related cirrhotic patients due to unpredictability of their disease trajectories.

OBJECTIVE

Therefore, this study aimed to develop a novel machine learning (ML) model to enhance predictability of HE in patients with non-cancer-related cirrhotic patients.

METHODS

A multi-centre, retrospective cohort study was conducted from January 2010 to December 2017 across all Chang Gung Memorial Hospital branches in northern, middle and southern Taiwan. We applied several ML models to evaluate HE predictability and compared their performance in the training dataset and testing datasets. Optimal sensitivity and specificity were determined using Youden’s index. The best ML model was interpreted by SHapley Additive exPlanations Plot.

RESULTS

A total of 4080 subjects were enrolled. The eXtreme gradient boosting algorithm showed the best performance in predicting HE incidence (area under the curve 0.85, 95% confidence interval: 0.834–0.879) compared with other ML models and model for severity of cirrhosis score. Key variables included ammonia, aspartate aminotransferase, prothrombin time, alanine aminotransferase, and serum potassium. The cut-off value for HE discrimination was 0.25 (sensitivity: 80%, specificity: 81%), providing a high negative predictive value (0.94) in the training dataset.

CONCLUSIONS

We developed a novel ML model for predicting HE in non-cancer-related cirrhotic population, thereby providing a practical guide to help physicians and these patients in share-decision-making for treatment strategy to improve patient care and reducing suffering from morbid complications.
Sentiment Analysis Mobile JKN Reviews Using SMOTE Based LSTM
Authors: Tamami Ghufron , Triyanto Wiwit Agus , Muzid Syafiul
Published: February 2025

The JKN Mobile application plays an important role in providing easy and fast access to health services for JKN-KIS users. However, user reviews indicate dissatisfaction with several aspects of the application, such as login issues and OTP codes, which can affect the overall user experience. Another challenge faced is class imbalance in the review dataset, which can affect the performance of sentiment analysis. This study uses Long Short-Term Memory (LSTM) combined with Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance. Review data was collected from Google Play Store and Kaggle, then preprocessed including lemmatization, tokenization, and padding. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results showed that LSTM with SMOTE achieved 88% accuracy, 90% precision, 88% recall, and 89% F1-score. SMOTE successfully improved performance in the minority class although there was a slight decrease in accuracy compared to the model without SMOTE. Word cloud visualization reveals positive sentiments regarding the ease of use of the application, while negative sentiments indicate areas that need improvement. This study emphasizes the importance of handling imbalanced datasets to produce more accurate sentiment analysis.
Utilizing Machine Learning for Pattern Recognition of Wayang Kamasan in Efforts to Digitize Traditional Balinese Art
Authors: Ariningsih Kadek Ayu , Lasiyo Lasiyo , Ariani Iva , Putu Sugiartawan Putu
Published: February 2025

The extinction of local cultural identities gives rise to profound inquiries concerning the conservative approach that may be adopted by a range of stakeholders. The ongoing process of globalization continues to drive technological innovation, while local cultural knowledge is increasingly marginalized. Conversely, an affirmative attitude towards the preservation of local culture is positively correlated with knowledge of local culture. This study focuses on Wayang Kamasan culture and employs a machine learning-based approach to reintroduce Wayang Kamasan in the context of a global community. The research employs a combination of qualitative and experimental quantitative methods. The former is used to gain an in-depth understanding of the socio-cultural aspects of Wayang Kamasan, while the latter are employed to assess the effectiveness of machine learning methods. The findings demonstrate that the machine learning approach to classifying Wayang Kamasan is an effective method for preserving Balinese culture. By accurately classifying the visual identity of Wayang Kamasan, it is possible to digitally document it, thereby facilitating the preservation of Balinese local culture. Pattern recognition through classification enables the preservation of this cultural heritage in digital form while also supporting the recognition of Balinese wayang.
Exploring the Relationship between Artificial Intelligence and Business Performance
Authors: Lutfiani Ninda , Sembiring Irwan , Setyawan Iwan , Setiawan Adi , Rahardja Untung , Sulistio Sulistio
Published: February 2025

The integration of Artificial Intelligence (AI) into business operations has garnered significant attention due to its potential impact on business performance. However, the relationship between AI adoption and business performance remains not fully understood. This article comprehensively analyzes this relationship through three key aspects: the acceptance and implementation of AI within organizations, the impact of AI on various dimensions of business performance, and the potential challenges associated with AI adoption. In this study, we employ SmartPLS as an analytical tool to evaluate the relationships between identified factors and the impact of AI adoption on business performance. Our findings reveal that several factors influence the adoption and implementation of AI, including data availability, organizational culture, leadership support, technical expertise, and ethical considerations. Moreover, AI adoption significantly influences business performance metrics such as productivity, efficiency, revenue, and customer satisfaction. Nonetheless, challenges arising from AI adoption, including shifts in job roles, data privacy, and security concerns, also require substantial attention. In conclusion, successful AI adoption and implementation necessitate careful consideration of organizational, technical, and ethical factors. This research provides valuable insights for business leaders and researchers seeking a deeper understanding of the relationship between Artificial Intelligence and business performance.
Poetics of Writing-things in the Epic Works of I. D. Surguchev
Authors:   Stavropol State Pedagogical Institute, Arakelova Margarita R. , Fokin Aleksandr A. ,   Stavropol State Pedagogical Institute
Published: February 2025

The relevance of the research is related to the vagueness of the writing genre in literary criticism. Epistolography is genetically related to household correspondence, fiction and nonfiction, which is particularly reflected in the originality of the works based on letters. The genre-generic specificity of artistic epistolography is manifested in the psychologism of the narrative. The purpose of the article is to characterize the poetics of writing-things in the epic works of I. D. Surguchev, the genetics of artistic epistolography. The research methodology is based on fundamental anthropological works devoted to things as a subject of the research. The empirical material consists of more than 1,000 contexts from the epic and dramatic works of I. D. Surguchev. Results. The analysis of the formal and substantive aspects of the image of writing-things in the writer’s works proves the universality of the genre consciousness of the artist of the Modernist era and the transformational possibilities of traditional literary genres, where writing-things are involved in the creation of all levels of the work: the sphere of characters, plot, conflict, composition. Writing is a thing in the works of I. D. Surguchev functions as a special narrative code that solves the most difficult tasks at the level of poetics of the work: it “tears” a thing out of the main fabric of the secondary world; in the role of a decoder, a thing turns into a model of the world.
Documents of the Horde Branch of the Astrakhan Chamber of State Property as a Source
Authors:   Kalmyk Scientific Center of the RAS, Mandzhikova Larisa B.
Published: February 2025

Introduction. The archive fund No. I-6 “Horde branch of the Astrakhan Chamber of State Property” (1848–1881) of the National Archive of the Republic of Kalmykia consists of 10 files containing information on the activities of the Temporary Construction Commission for the construction of houses in the villages. From various types of documents, you can learn about the problems that arise during the construction of houses and their solutions, about the settlers who arrived in the Kalmyk steppe as a result of the state policy on the resettlement of peasants, and the settlement of Kalmyks. The purpose of the research work is to study documents containing information on the implementation of the Russian government’s plans for the resettlement of peasants to the territory of the Kalmyk steppe and the settlement of Kalmyks through a construction campaign, and to introduce them into scientific circulation. Results. The study of the content of the documents contributes to the study of various topics: the technology of making mud bricks from local materials; the problems of transporting building materials by land and waterways; conditions for attracting hired workers (masons, carpenters) from other provinces, etc. Archival documents of the Horde branch of the Astrakhan Chamber of State Property are sources for studying the process of Kalmyks integration into the national system, the construction of houses along the highways, the formation of villages and the resettlement of peasants to the territory of the Kalmyk steppe, the transition of some Kalmyks to a semi-settled lifestyle. Studying of various types of archival documents and the procedure of their application in office practice helped to clarify their functional purpose and compliance with all-Russian standards.
The “Kalmyk” Collection of the Saratov Museum of Local History in the Context of Anti-Religious Propaganda
Authors:   Kalmyk Scientific Center of the RAS, Muchaeva Irina I.
Published: February 2025

The religious policy of the Soviet state in the first third of the 20th century was aimed at destroying the influence of religion and the authority of the clergy on society. As part of the ideological rivalry with confessions, temples, each of which was an architectural monument, and objects of worship, which were the result of the creative activity of the masters of the past centuries, were destroyed. The article is devoted to the so-called “Kalmyk” collection of the Saratov Regional Museum of Local History. The purpose of the article is to study exhibits from the collections of the Saratov Regional Museum of Local History related to the history and religious beliefs of the Kalmyk people in the context of the anti-religious policy of the Soviet state. Materials and methods. By using the problem-chronological method of analyzing revenue books, periods of replenishment of funds with items from Kalmykia were identified. Further research allowed us to hypothesize the existence of a correlation between the date of admission and the anti-religious campaign of the Soviet state. Results. The main dates of admission, first of all, objects of Buddhist worship, relate to 1929 and 1932–1933. If single items were received in different years, then mass admissions took place in these years. It was at this time that the struggle against religion intensified, during which objects of the original culture of the nomadic Kalmyk people were destroyed, each of which represented not only material value, but also scientific one.
The Power and the Glory: A Study of Faith, Morality, and the Human Condition
Authors: Kumar Dr. Santosh
Published: February 2025

Graham Greene's The Power and the Glory (1940) explores the complex interplay between faith, morality, and the
human condition, set against the backdrop of Mexico's Anti-Catholic persecution. This research paper examines the moral and
spiritual journey of the "whisky priest," whose deeply flawed character becomes the central figure in an exploration of grace,
redemption, and human suffering. By situating the novel in the historical context of the Cristero War, the paper discusses
Greene’s portrayal of faith as a paradox—rooted in human imperfection yet offering the possibility of redemption. The priest’s
moral dilemmas and ultimate sacrifice highlight themes of self-sacrifice, the search for meaning, and the potential for spiritual
transcendence despite the inherent flaws of human nature. This paper argues that Greene’s narrative suggests that true
redemption comes not through moral perfection, but through acceptance of grace in the midst of suffering. Key themes include
the tension between secularism and religious faith, the nature of sacrifice, and the complexities of the human condition.
PriceWar
Authors: Panigrahy Manisha
Published: February 2025

The growth of e-commerce has given rise to many opportunities as well as challenges, such as in the case of dynamic
or demand sensitive pricing which changes with demand, competition and market environment. This paper proposes a price
prediction system that makes use of machine learning and web scraping techniques in order to offer timely and reliable price
estimates for multiple products across various online stores. Using web scraping, we gather useful information such as the latest
prices, their corresponding ratings and sales ranks that are key in training machine learning algorithms to estimate price
movements of a particular commodity in the future. Our model aims at facilitating better buying decisions by consumers and
improving overall pricing strategies for businesses.
In this way, we go through the entire process of data preprocessing, feature engineering and model selection and compare
various machine learning methods only to adopt them according to the prediction accuracy and efficiency. The project responds
to the demand of improving the availability of pricing information for the consumers by ensuring it is presented fairly and
ethically outflows any issues concerning the data collection. Findings are also supportive of web scraping and machine learning
assisting consumers as well as encouraging healthy competition in the business and supporting the ever-expanding world of e
commerce
Smart Grid Integration Using IoT
Authors: M Ajith
Published: February 2025

Smart Grids are advanced systems combining flexible electric grids, communication, and IT to monitor and control
energy flow in real-time from production to utility areas. They effectively integrate transfer and distribution systems, customer
and renewable integration, and intelligent solutions to measure and manage energy usage. Electricity is vital for modern life,
traditionally measured manually by TNEB personnel. We propose an IoT-based power meter for TNEB customers to automate
this process by measuring energy consumption and uploading data to the cloud using ESP 8266. As fossil fuel resources deplete,
Smart Grids, utilizing IoT for extensive information sensing, transmission, and processing, offer a promising solution. This
paper reviews IoT integration in Smart Grids, discussing four-layered and web-enabled architectures and the enhancement of
SCADA systems with cloud computing for Big Data management. Smart Grids are set to revolutionize electric grids by
addressing energy consumption, waste, and grid reliability and security
SCRAPZON - With 3R’s
Authors: Natubhai Mathukiya Mihir
Published: February 2025

This paper presents New Trend is Scrap consists of recyclable and leftover stuff from the product manufacturing and
consumption, such as parts of vehicles, building supplies, newspapers, notebooks, etc. Our vision to divert recyclables from
India’s unsanitary landfills. We provide users can schedule a doorstep pickup for their scrap material which is recyclables.
Unlike waste, scrap has a monetary value and you will be paid in exchange for your scrap. Scrap materials are taken to the scrap
yard where the process of recycling and melting takes place. Online Scrap materials platform is connecting the local scrapers to
the company which follow the 3R’s [reduce, recycle and reuse] . Online Scrap materials platform is taken to the all type of scrap
material. specially for the construction waste(material), Furniture waste.
Phenology, mass accumulation patterns and growing degree days in common bean
Authors: Pinzón-Sandoval Elberth Hernando , Carvalho Silva Wellington , Marchiori Paulo Eduardo Ribeiro
Published: February 2025

The common bean represents approximately half of the global production of leguminous grains. Brazil is the world's largest producer, as it is a primary source of protein in the population's diet. This research aimed to relate the phenological stages of the common bean under greenhouse conditions and establish a connection between mass accumulation patterns and the environment, specifically temperature, by estimating Growing Degree Days (GDD) during two periods with different temperatures throughout the year. Once a week, after seed germination, plants were collected and weighed to quantify fresh and dry mass to determine biomass allocation within the plant. This procedure was carried out until the plant’s growth cycle was completed. The environment was systematically monitored using a thermo-hygrometer. GDD accumulation was estimated for the phenological stages from V0 to R8 during two evaluation periods. Fresh and dry mass accumulation was fitted to logistic models that generated sigmoidal-type curves. It was observed that the bean plants accumulated 803.5 GDD in the first period and 808.6 GDD in the second period, from V0 to R8, with different fresh and dry mass accumulation patterns in various plant organs. This demonstrates the relationship between temperature and the growth and development of the bean plant and can provide important information for selecting the optimal planting time for this significant crop.
Artificial Intelligence and Advanced Cybersecurity to Mitigate Credential-Stuffing Attacks in the Banking Industry
Authors: El-Taj Homam , Hamedah Danah , Saeed Rawan
Published: February 2025

Credential-stuffing attacks pose a critical threat to the banking sector, leveraging stolen login credentials to compromise user accounts and inflict substantial financial and reputational damage. Traditional security measures, including Multi-Factor Authentication (MFA) and CAPTCHA, often fall short against the sophistication of these attacks, necessitating more advanced and proactive defense strategies.
This study explores the transformative role of artificial intelligence (AI) and machine learning (ML) in cybersecurity, particularly in mitigating credential-stuffing threats. AI-driven solutions enable real-time threat detection, predictive analysis, and adaptive authentication, providing enhanced protection by analyzing large datasets to identify unusual login patterns and behaviors. Despite their promise, AI and ML adoption in cybersecurity faces challenges, including data privacy concerns, the risk of false positives and negatives, and scalability barriers. This research also examines emerging technologies, such as federated learning and blockchain-based authentication, which offer decentralized and privacy-preserving approaches to combating credential-stuffing attacks. Ultimately, AI and ML present the banking sector with powerful tools to build resilient, adaptable, and efficient defenses against evolving cyber threats. By integrating these technologies with complementary innovations, financial institutions can enhance security, protect customer trust, and address the dynamic landscape of credential-based cyberattacks.
Editorial: Governance in transition: The intersection of transparency, accountability and artificial intelligence
Authors: Galavotti Ilaria
Published: February 2025

The current issue features a few scholarly articles investigating and highlighting nontrivial research topics like voluntary disclosure quality, the transformation path of public administration, with particular attention to local realities, and the adoption of artificial intelligence algorithms in various sectors of our society.
Temperature dependence of the electronic band gap of cspbbr3 quantum wells obtained using k•p method
Authors: Jocic Milan , Vukmirovic Nenad
Published: February 2025

We calculated the electronic structure of CsPbBr3 quantum wells using the k?p
model with parameters extracted from hybrid functional based DFT
calculations supplemented with self-energy corrections arising from the
electron-phonon interaction. We obtained the temperature dependence of the
band gap for different sizes of the quantum well. The results show that the
temperature dependence in quantum wells is similar to the one found in bulk
phase for all sizes of the well that were considered.
Biliary atresia associated with intestinal malrotation-unusual intraoperative presentation
Authors: Sretenovic Aleksandar , Toplicic Djordje , Jeremic Rastko , Vujovic Dragana
Published: February 2025

Introduction. Biliary atresia (BA) is an idiopathic, progressive obliterative
cholangiopathy of unknown etiology. The incidence of BA is 5-10 cases per
100,000 live births. Two clinical phenotypes of BA have been described:
syndromic and non-syndromic form. From 1959. Kasai procedure is a standard
therapeutic procedure. However, patients in whom there is an association of
biliary atresia with other structural anomalies may have a worse outcome
after the procedure. The goal was to present our patient with unusual form
of BA associated with intestinal malrotation. Case report. We present a
two-month-old female infant hospitalized because BA was suspected. On the
echosonographic examination of the abdomen the gallbladder was not visible.
Intraoperative diagnosis of BA was confirmed, and the Kasai procedure was
performed. During the operation, intestinal malrotation with Ladd's bands
was identified. In this case, after the complete Ladd procedure, we decided
to trace the Roux coil through the mesoduodenum and then behind the duodenum
towards the portal plate, where a portoenterostomy was then created in a
standard way. During the "follow-up" the infant was free of complaints, the
stools were normally discolored, and the values of liver function tests had
a downward trend. Conclusion. Any doubt about the diagnosis of biliary
atresia obliges us to determine the existence of all other possible
anatomical abnormalities and associated anomalies, due to their potential
importance in changing treatment plans and surgical approach, but also the
impact on the outcome of treatment.
Diabetes and Glucose Management in People on Hemodialysis
Authors: Agarwal Shubham , Mader Julia K. , Arevalo Giuliana , Avula Sreekant , Chavez Efren , Sloan Lance A. , Galindo Rodolfo J.
Published: February 2025

Diabetes is a major cause of end-stage kidney disease (ESKD). Glycemic management is challenging in this population, and A1C, commonly used for monitoring glycemic control, is unreliable. Continuous glucose monitoring indices can be used for glycemic monitoring in people with ESKD. Dipeptidyl peptidase 4 inhibitors, incretin mimetic agents (glucagon-like peptide 1 and glucose-dependent insulinotropic peptide receptor agonists), and insulin using an automated insulin delivery system are preferred to manage diabetes in people with ESKD on hemodialysis.
Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network
Authors: Muth Lars , Zharia Raphael , Sahin Hürkan , Sextro Walter
Published: February 2025

To predict and prevent uneven tire wear in addition to a reduction of overall tire wear, it is essential to estimate not only the total amount of wear but also how the wear is distributed across the tire width. This requires knowledge of the frictional power distribution in the tire contact patch, which is the basis for calculating tire wear using a wear law. Usually, only 3D structural tire models can generate such distributed contact results. However, they involve high computational costs and cannot be used for comprehensive optimization of a vehicle’s suspension system with respect to tire wear characteristics. Hence, this contribution presents a methodology on how to accelerate the prediction of the frictional power distribution using two components: The structural tire model is replaced by an empirical tire model that on its own is not able to generate distributed contact results. Therefore, an artificial neural network is trained to predict the desired contact results from the kinematic quantities calculated by the empirical tire model. In the initial training phase, both components are fitted to data generated by the original complex tire model. After training, the empirical tire model can replace the structural tire model in vehicle simulations, resulting in significantly shorter calculation times. The simulation results are fed into the artificial neural network, which predicts the frictional power distributions over the tire width with negligible additional effort. Overall, the methodology reduces calculation time for the prediction of tire wear based on virtual test drives to approximately 25% of the time needed when using structural tire models.
Fostering Early Childhood Literacy: The Crucial Role of Family Environments
Authors: Kurniawati Febriana , Motimona Putri Diah , Maryatun Ika Budi
Published: February 2025

Early childhood literacy issues are often overlooked, especially in the context of parents' lack of involvement in building a holistic literacy culture in the family environment. Many parents focus too much on early reading, writing and counting (calistung) skills, neglecting the importance of play and language interactions that support children's motor, social and emotional development. In addition, the use of gadgets as a way to soothe children has led to a reduction in active and interactive play activities. This research uses a literature study approach with a systematic literature review method to analyze the importance of literacy culture in the family. Data were collected through scientific journals using certain keywords and then analyzed descriptively. The research subjects were relevant literature on literacy culture development, early childhood and family environment. The results show that strategies that families can implement include: introducing books early on, reading with children, encouraging children to hold books, reducing the use of electronic devices, creating an interactive learning environment, and involving children in daily activities such as playing in the garden, cooking, cleaning the house and other creative activities. In conclusion, family involvement in building a literacy culture can improve children's literacy skills and interest in reading from an early age, with the implication that family education is very important in supporting children's overall literacy development.
Feasibility and Effectiveness of E-Test Through Vinesa to Improve Statistical Reasoning Ability Central Tendency Material
Authors: Setyaedhi Hari Sugiharto
Published: February 2025

Lecturers are still lacking in developing electronic statistics course tests through Virtual Learning Unesa (Vinesa), which causes student learning outcomes to decline. The aim of this study was to test the feasibility and effectiveness of electronic central tendency material tests. Data analysis uses quantitative descriptive and t tests. The research subjects were 1 material expert, 1 media expert, 1 language expert, and 28 students. Data collection uses tests, observations, interviews, and questionnaires. The ADDIE model is used in this development research. The feasibility results of material validation, learning media, language, individual and small group trials are each in the very feasible category; the effectiveness results show that the control class (0.45) is in the low category and the experimental class (0.6) is in the sufficient category; and the test results t on sig. (2 tailed) = 0.000 < 0.05. Conclusion The development of electronic tests with central tendency material is suitable for use in tests and is effective in improving students' reasoning abilities. The implication of this research is the development of electronic test products that can be monitored for their level of feasibility, with the aim of improving student reasoning in statistics courses.
Implementation of Integrated Science Learning Model Using the Webbed Type: A Systematic Literature Review
Authors: Jemeo Maria Kurniati , Sutadji Eddy , Pristiani Riska , Rahayuningsih Sri
Published: February 2025

Improving the quality of science education in schools remains a critical focus in finding effective teaching models that can integrate various disciplines. The challenges faced is the lack of student engagement in connecting scientific concepts with real-life contexts, as well as low levels of critical thinking and deep understanding of concepts. This study aims to analyze and evaluate the effectiveness of the webbed integrated science teaching model and to explore its impact on students' ability to relate scientific knowledge to real-life contexts. This research employed the systematic literature review (SLR) method. This method is used by collecting and evaluating relevant research on a specific focus topic. Data collected and analyzed from 30 scholarly articles. The research instrument used is a literature assessment sheet. The data analysis technique employed is thematic analysis. The results of this study indicate that the application of the webbed integrated science teaching model has significant potential in enhancing the quality of science education. This model helps students connect information from various disciplines to real-life contexts.
Innovation in Merdeka Curriculum E-Module: Integrating Scientific Approach with Socio-Scientific Issues to Improve Students' Critical Thinking
Authors: Rohali Amelia , Hamimi Erti
Published: February 2025

The critical thinking skills of students in Indonesia remain below average, presenting a significant challenge in preparing students to meet the demands of the 21st century. This study aims to develop an independent curriculum e-module integrating the scientific approach with Socio-Scientific Issues (SSI) to enhance critical thinking skills. The development process employs the ADDIE model, encompassing five stages: Analysis, Design, Development, Implementation, and Evaluation. The study involved seventh-grade students studying biodiversity. Qualitative data were collected through teacher interviews and questionnaires, while quantitative data were obtained from validator scores, teacher and student evaluations, as well as pre-test and post-test results. Data analysis included qualitative descriptive techniques, percentage analysis, validity and reliability tests, normality tests, homogeneity tests, t-tests, and N-Gain tests. The validation results for media and materials reached 93.75% and 98.21%, respectively. Practicality assessments by teachers and students achieved 95.97% and 87.44%, respectively. The N-Gain test demonstrated moderate improvements across five critical thinking indicators. It can be concluded that the e-module is valid, practical, and effective for use in teaching and learning.
The Role of the Learning Environment and Improving Academic Performance Through Reading Interest
Authors: Etty Umamy
Published: February 2025

Many students have not mastered the Indonesian language well, as evidenced by their daily test scores, which mostly fall in the middle to lower categories. This phenomenon is intriguing to explore in the context of improving student learning achievement. Therefore, this study aims to analyze the influence of the learning environment on Indonesian language learning achievement, with reading interest as the mediator. This research employs a quantitative method with a population of 815 students who have taken the Indonesian language course. With a margin of error of 5%, the sample size selected is 262 students. The analysis is conducted using Structural Equation Modeling (SEM). The research findings indicate that Indonesian language learning achievement improves due to the positive influence of the school environment and reading motivation, which contributes to students' reading interest. Reading interest has been proven to mediate the influence of the school environment on learning achievement. The implications of this study are that a conducive learning environment and collaboration among teachers, parents, and the community are crucial to support students in reaching their maximum potential. This also impacts the enhancement of students' reading interest and learning achievement.
Integrated Card Learning Media with Augmented Reality Based on Android for Elementary School Learning
Authors: Nurhikmah A. Fatimah , Krismanto Wawan , Mukhlisa Nurul , Halik Abdul , Faisal Muh.
Published: February 2025

Science learning in elementary schools should encourage students to explore, investigate and understand their environment, but this is hampered by the lack of media support that facilitates this. Departing from the need for innovation in learning methods in the current digital era. In elementary school, many students experience difficulty in understanding abstract concepts conveyed through conventional learning methods, which are generally textual and static visuals. Traditional approaches are often less attractive to students who have grown up in environments familiar with advanced technology. This research aims to create learning media products for elementary schools using Augmented Reality (AR) to facilitate ideal science learning. This research and development uses the Borg and Gall model. Research participants were fourth grade students in three elementary schools and their teachers. Data collection through observation, interviews and tests. Data was analyzed descriptively to describe quantitative and qualitative data. The research succeeded in developing a learning media product for elementary schools based on Augmented Reality (AR) called Media Karotena. The main results of the research show that the media is included in the appropriate category and is suitable for students and teachers. This development product has implications for the transformation of technology-based science learning. The implications of this research are  The use of AR technology in learning can increase student engagement. By combining interactive visual media, students are more interested and motivated to learn, so that learning becomes more fun and effective.
Embom (E-Module Batik Mangrove Organik) For Vocational High Schools
Authors: Veronika Yulisna Sinukaban  , Lapisa Remon , Maksum Hasan , Rahmiati
Published: February 2025

Schools still rely on textbooks in the batik learning process, so batik learning outcomes do not meet competency standards. Based on this, this research aims to produce a batik learning e-module that is valid, practical and effective. This type of research is development research. This research uses the four-D development model. The research subjects were 2 learning material experts, 2 learning media experts, and 3 teachers. The test subjects were 30 class XI students at SMK. The methods used to collect data are questionnaires and tests. Data collection instruments are questionnaires and questions. The data analysis technique used is descriptive. The research results show that the batik learning E-module produced is valid, practical, and effective in terms of appropriateness of the E-module content, E-module language, E-module presentation, and E-module graphics. The results of assessing the effectiveness of the mangrove organic batik E-module learning media in this research produced an N-Gain score of 0.71 so that the level of effectiveness was categorized as "High" with the interpretation "Effective". It was concluded that the Batik Learning E-module is suitable as an alternative reference material for developing the Batik E-module. The implication of this research is that the E-module developed can be used in learning.
EVALUASI SEISMIK GEDUNG PERKULIAHAN 3 DAN 6 LANTAI EKSISTING DI KOTA YOGYAKARTA
Authors: Septhia Irawati Inggar , Heriawati Isnaini , Setiawan Angga Fajar
Published: February 2025

The three-story reinforced concrete building as a college building was built in the city of Yogyakarta in 2011. The building was originally designed to have 6 floors using SNI 1726-2002 and SNI 2847-2002. With the development of construction standards in Indonesia, both regulations have been updated to SNI 1726-2019 and SNI 2847-2019. As a consequence of the updated regulations, re-evaluation of building structures against earthquake loads is important to do. This study aims to evaluate the performance of the existing building structure. The buildings are analyzed under two scenarios: the existing three-story condition and the planned six-story construction according to the Detailed Engineering Design (DED). The analysis employs a nonlinear static procedure based on ASCE 41-23 standards, with seismic load distribution derived from the Indonesian Earthquake Hazard Deaggregation Map. The seismic loading considers two levels of seismic hazard: BSE-1E and BSE-2E. Results indicate that both the three-story and six-story buildings fail to meet the performance criteria stipulated in ASCE 41-23. The evaluation results show that neither the three-story nor the six-story building achieves the Immediate Occupancy (IO) performance level under design earthquake BSE-1E, nor do they meet the Life Safety (LS) performance level under earthquake BSE-2E. Additionally, neither structure meets the maximum allowable horizontal displacement requirements.
MANAJEMEN BISNIS KONSTRUKSI DENGAN BUILDING INFORMATION MODELLING PADA LIFE CYCLE COST: KAJIAN BIBLIOMETRIK
Authors: Yulius Chaesario Kurniawan  , Nectaria Putri Pramesti
Published: February 2025

Penelitian ini mengkaji integrasi Building Information Modeling (BIM) dalam Life Cycle Cost (LCC) pada proyek konstruksi, menggunakan analisis bibliometrik untuk memetakan tren publikasi antara 2015 hingga 2024. Dari 103 dokumen yang dianalisis menggunakan perangkat lunak VOSviewer, tren menunjukkan peningkatan signifikan setelah 2019, dengan jumlah publikasi tertinggi pada 2019 dan 2021, masing-masing 17 artikel (16,67%). Analisis ini melibatkan 291 penulis, dengan Jrade Ahmad menjadi penulis paling produktif (4 dokumen, 66 kutipan). Dalam analisis co-citation, jurnal Sustainability tercatat sebagai sumber paling banyak dikutip (107 kutipan). Secara teknis, studi ini memanfaatkan VOSviewer untuk menganalisis jaringan kolaborasi, dengan 27 penulis memenuhi kriteria minimal dua dokumen. Jaringan kata kunci menyoroti “BIM” dengan frekuensi 293 kemunculan, terhubung erat dengan “life cycle cost” dan “life cycle assessment”. Hasil juga menunjukkan kontribusi signifikan dari negara seperti Amerika Serikat, Tiongkok, dan Australia, masing-masing menghasilkan 10 publikasi. BIM memungkinkan otomatisasi perhitungan LCC, mengurangi kesalahan manual, dan meningkatkan efisiensi estimasi melalui integrasi perangkat seperti Revit dengan Dynamo atau Excel. Perhitungan biaya siklus hidup meliputi desain, konstruksi, hingga operasi dan pemeliharaan. Alat seperti Green Building Studio (GBS) dan One Click LCA membantu mengintegrasikan LCA untuk menganalisis dampak lingkungan dan efisiensi biaya. Penelitian ini menekankan pentingnya pengembangan perpustakaan BIM yang seragam dan peningkatan kolaborasi global untuk mengatasi tantangan seperti biaya tinggi dan kurangnya tenaga ahli terlatih.
The Effect of Using The Direct Method with Question Ball Media to Improve Students' Speaking Skill / Atsar Istikhdaam Thariqah al-Mubasyirah Bi Wasilah La’b Kurrah al-Asilah Li Tarqiyyah Maharah al-Kalam ‘inda ath-Thullab
Authors: Kamal Musthafa , Mukarom Arik Maghfirotul
Published: February 2025

Based on the results of preliminary study and interviewing Arabic language teachers, it was found that the student's competency in class VII at Pondok Pesantren Assalam (Assalam Boarding School) of Naga Beralih in Kampar Utara was relatively weak; and they were afraid to speak or to perform storytelling and dialogue. Then, if they do a dialogue, they will not be able to do it fluently yet. The research was carried out in an experimental design that requires an experimental class and a control class. The sample was 40 students who were randomly assigned to the experimental class and the control class. The instruments for collecting the data were (1) an observation sheet, (2) a test, and (3) documentation. The obtained data were analyzed by using SPSS Statistics, Version18. The research results showed that (1) the implementation Mubasyaroh method by using Question Ball Media was very well with a percentage of 95%, (2) based on the results of the tests, Ha was accepted, consequently, Ho was rejected which results greater than ttable (2.745 >2.02), (3) Direct method by using Question Ball Media had a significant influence on the students' speaking skills. The factors that affected the student's proficiency were (1) the suitability of the teaching method with the learned materials, (2) the use of media in the teaching and learning process, (3) the expertise of teachers in selecting the teaching method, (4) teachers' activeness in innovating the method and media, (5) the appropriateness of teaching materials with the students level, and(6) the teacher preparation to carry out the teaching and learning process.
Designing the Performance Measurement System for A Digital Enterprise using Balanced Scorecard
Authors: Putri Salsabila Katya , Sulistyo Budi , Suryana Nanang
Published: February 2025

The main issue is the absence of a comprehensive KPI system to effectively measure the performance of digital products. Currently, the company PT XYZ unit tracks only two KPIs, such as revenue and total sales. This narrow focus overlooks aspects of achieving business success such as ensuring business fulfillment, business assurance, and employee competence in a growth and agile focus environment. As a result, performance targets are not fully met, and customer satisfaction declines in meeting service level agreements and service level guarantees. This research aims to fill these gaps by designing a performance measurement system using a Balanced Scorecard, and AHP is used for weighing the level of importance. Based on the research, the measurement system was developed, consisting of 7 Strategic Factors (SF), 9 Strategic Objectives (SO), and 12 KPI that are assessed on a quarterly basis. AHP analysis assigns the highest weight to financial perspective (56.60%), SF “market expansion and product innovation” (56.60%), SO “increase the revenue” (29.88%), and KPI “net profit margin growth” (26.72%). Once implemented, this system will standardize digital product performance measurement, aligning with company goals to drive revenue growth and operational efficiency. Keywords: BSC, AHP, KPI, Performance Measurement, and Digital Product
The Influence of Advertising Creativity and Brand Attitudes and Their Impact on Purchasing Decisions (Shopee E-Commerce Product Purchase Case Study)
Authors: Lutfi Lutfi Adi Prastya , Indri Indri Juwita Sari , Jeni Jeni Pusfitasari , Inge Gianine Lasalandra
Published: February 2025

The company needs the so-called competitive advantage to succeed both in the domestic and international markets, where fierce competition from other businesses is a constant threat. Rapid advances in information technology, particularly the internet, have had a far-reaching impact in many areas, including social, economic, political, and cultural fields, as well as on people's daily routines, including the way they conduct business and shop for goods.  Many people in Indonesia now prefer to shop online instead of visiting physical stores. Shopee's presence in the Indonesian e-commerce market is the result of the rapid expansion of the market which attracts many new players. This research is quantitative, using multiple regression techniques, and the respondents were 117 Shopee users from Indonesia. The purpose of this study is to investigate how advertising innovations and consumer perceptions of brands displayed on Shopee's e-commerce platform influence consumers' final decision to purchase those products. Based on the adjusted r2 value of 0.561 contained in the results of the coefficient of determination test, the variation in both independent variables of advertising creativity and brand attitude can explain 56.1% of the variation in the dependent variable of purchasing decisions. The influence on the dependent variables is also indicated by the results of simultaneous significance tests (statistics of the f test). A statistical f value of 68.0369 with a probability of 0.000 is displayed in the output. We can conclude that the invention of advertising and brand attitudes influence consumer decisions because the probability is less than 0.05. The results of the t-test, which tested the relationship between two independent variables (advertising inventiveness and brand attitude), support the idea that both have an influence level of 0.05 on the final decision of consumers.
Aspectos jurídicos relevantes del comercio justo
Authors: Cuesta Alarcón Alexa , Restrepo Vélez Anaid Sabel , Carvajal Jaramillo Andrea , Córdoba Gaviria Carlos Alberto , Roldán Torres Damaris , Henao Ruiz Jorge , Cossio Moreno Laura Vanessa , Castaño Tapasco María Camila , Buriticá Marín Maritza , Henao Marín Yeison
Published: February 2025

Se concibe el semillero ASPECTOS JURÍDICOS RELEVANTES DEL COMERCIO JUSTO, como un espacio que brinde la oportunidad para reflexionar y promover la investigación jurídica en torno a una rama específica del Derecho, como es la concerniente al Derecho Comercial.  Nuestro semillero fue creado en mayo de 2019, con la coordinación del docente Gustavo Adolfo Beltrán y cuenta actualmente con 12 participantes.
El objetivo general de este espacio formativo de investigación, es tratar de determinar desde el punto de vista del derecho, cómo se puede contribuir al ejercicio de una práctica comercial más equitativa. En aras de dar cumplimiento a esta meta, tenemos programadas reuniones semanalmente, momento en el cual se asignan tareas determinadas y se hace seguimiento al avance de la investigación.