Reviewerly/exHarmony huggingface dataset:
Exploring the Use of Blockchain Technology to Create Transparent and Efficient Platforms for Managing Agricultural Processes

The focus of this study is on the impact and degree to which blockchain can transform existing agricultural procedures, also taking into consideration but not necessarily emphasizing its effects in other areas. It attempts firstly to add transparency; secondly traceability or authenticity (the ability for consumers at marketplaces everywhere-wherever they may be-to understand clearly who grew what); and finally economic empowerment Based on a careful review of case studies and stakeholder perspectives, the study stresses that blockchain is an effective tamper-proof log to record all information from farmers right down to consumers. Its permanent, traceable nature becomes of vital significance in improving traceability. Moreover, it allows for rapid location and recovery of contaminated products; this is a big boost to food safety. According to the proposed conceptual framework, industry standards related to collaboration are included; scalable solutions and stakeholder education on transparency and traceability as well as economic empowerment will be added. It gives a viable orientation and reference for industry professionals, policymakers, and technologists who want to apply the transformative control of blockchain in agribusiness. Not as it does the coming of blockchain in agriculture alter supply chain connections, but it too exchanges control from buyers to vendors and guarantees customers almost item realness. This investigation envisions a future in which blockchain can be a portion of making the worldwide nourishment framework versatile and maintainable.. KEYWORDS :Agriculture, Blockchain, Traceability, Economic Empowerment, Transparency
Keterkaitan Pengaruh Iklim Terhadap Angka Kejadian Tuberkulosis Berbasis Web Gis

Management of pulmonary tuberculosis (TB) in Bogor City is still a priority in health care. The high number of TB cases in the Lawang Gintung Health Center area in the 2017-2019 period reached 126 new cases. Where the most new cases were in the Muarasari Village with a total of 52 new cases of TB. This research method uses the spatial interpolation method to determine the distribution of climate and its association with the incidence of new cases of pulmonary TB. Through the development of spatial interpolation GIS, it is known that the pattern of distribution of cases per month in the area of ??the Public Health Center in terms of the relationship between climate and the development of new cases of TB in the area of ??the Lawang Gintung public Health center. Incidence Rate in the region public Health center Lawang Gintung per month during 2017-2019 was highest in February with an IR value of 8.7 per 10,000 people/population. The increase in the IR value in each month is accompanied by an increase in the average value of rainfall (mm²), air temperature (°C), and humidity (%). Where in January the IR value was 2.2, increasing in February to 8.7 with an average rainfall value per month of January 15.4 mm² and in February it increased to 25.3 mm². Followed by increasing the value of air temperature and humidity. Correlation of climate to the incidence of new cases of pulmonary TB in the region public Health center Lawang Gintung is known that rainfall is positive with an R² value of 0.50. Air temperature is negative where R² is 0.01 and humidity is positive with R² value is 0.17.
AVOCADO STOCK PREDICTION IN BANTUL CITY USING MAMDANI FUZZY LOGIC

This journal discusses the development of an avocado stock prediction model in Bantul City using the Mamdani fuzzy logic approach. In this context, fuzzy logic is used to address the uncertainty and complexity associated with factors affecting avocado supplies, such as stock variability, demand and price variables. The Mamdani approach is applied to formulate fuzzy rules based on a combination of expert knowledge and historical avocado stock data. This method aims to produce avocado stock predictions that are more accurate and adaptive to market dynamics. Through a series of experiments, the results show that the Mamdani fuzzy logic model has a significant level of accuracy, outperforming traditional stock prediction methods. The results obtained show the potential of this model in improving the efficiency of avocado inventory management at the local level. This research makes an important contribution especially in the context of agribusiness, providing a foundation for a more sophisticated and adaptive prediction approach to avocado fruit stock management. The implications are widely applicable in the agribusiness sector and provide a basis for the development of similar prediction systems for other agricultural commodities.
LITERARY EDUCATION IN ELEMENTARY SCHOOL (ON EXAMPLES IN LITERARY READING)

The content of the article is dedicated to literary education in primary grades. Literary education in primary school is carried out through the subject of literary study. The formation of literary education requires a long period. In the article, the preparatory (1st grade), formative (2nd grade), main (3rd grade), and final (4th grade) stages of literary education are analyzed in depth. The theoretical and practical values of the characteristics of literary education formed in each class are confirmed. The skills of the forming primary school student in literary education in the teaching process are interpreted. The general composition in literary education, reand commendations for working with them are presented by the author. Practical proposals for the use of literary education in the educational process, as well as provisions for their implementation, were also closely investigated. The content of the article is valuable despite the conclusion that literary education is formed and improved in literary studies.
Penerapan Project Based Learning pada Mata Pelajaran Informatika di Pondok Pesantren Sematera Thawalib Parabek untuk Meningkatkan Keaktifan Belajar Peserta Didik

The aim of this research is to apply the Project Based Learning (PjBL) learning model as an effort to increase student learning activity. Through the implementation of PjBL, this research aims to create a learning environment that stimulates active student participation. With a focus on Informatics subjects in class VII at the Sumatra Islamic Boarding School Thawalib Parabek. The main aim is to contribute to the development of learning methods that encourage students to be more involved and active in the learning process, while improving their understanding and practical skills. This research uses a qualitative approach by applying classroom action research methods. The data obtained from this research is explained descriptively. Data collection techniques involve several methods, including participant observation, interviews. Participatory observation is used to understand the dynamics of interaction between students and learning with the PjBL model. In-depth interviews were conducted with teachers and students to obtain their views regarding experiences and perceptions regarding the implementation of PjBL. Document analysis includes study of learning materials, project assignments, and notes related to PjBL implementation. It is hoped that the research results will provide a comprehensive picture of the impact of the PjBL learning model on student activity in learning Informatics. It is hoped that the data collected from various data collection techniques can provide in-depth and relevant insights regarding the role of PjBL in increasing student activity.
Penerapan Data Mining Dalam Analisis Prediksi Kanker Paru Menggunakan Algoritma Random Forest

Lung cancer is one of the one of the leading causes of death in the world. From this data there are several categories of people who are positive and negative for lung cancer, Here the researcher will display information on the exact number of people who &#x0D; contracted lung cancer from the data, and in this study using the Random Forest algorithm because Random Forest This research uses the Random Forest algorithm because Random Forest has a data set selection process. Has a data set selection process. to improve the performance of classification model. With feature selection, Random Forest can certainly work efficiently on big data with complex parameters, which will greatly facilitate the classification of positive and negative lung cancer patients. Observations will be a reference for analyzing the prognosis of lung disease. Observation will be a reference for analyzing the prognosis of lung disease here how the application of data data mining techniques on the prediction analysis of lung cancer analysis and how performance of the random forest algorithm in predicting lung cancer.by applying data mining techniques and has been tested using a survey dataset of lung cancer survey dataset and using software called Rapidminer toanalyze and predict positive patients with lung cancer It was concluded that the It is concluded that the Random Forest algorithm that has obtained the greatest accuracy obtained accuracy results worth 90.61% with an AUC value of 0.941.&#x0D; &#x0D;
APPLICATION OF DIGITAL METHODS IN TEACHING PHYSICS IN UNIVERSITIES

Many universities now have computer labs, so any kind of classes can be conducted using new technologies. When teaching physics, students are more likely to benefit from engaging lessons using a variety of digital tools than lessons written in chalk on a blackboard. The computer provides electronic communication between the student and the teacher. Computer training is carried out at the same pace for each student, is supplied with many interesting materials, saves the teacher's time and eliminates the need to write on the blackboard with chalk. The rapid introduction of information technology in society encourages teachers to master this technology and use new methods. The teacher is also motivated to learn new things and improve their skills, which always leads to creative search, improves his work and leads to the mastery of digital technological resources. When a computer is used to cover a topic, the student assimilates the material differently. The use of new technologies in the learning process allows the teacher to create an appropriate base of accumulated resources and be able to use them if necessary. Today this issue is relevant in teaching physics using digital technologies.
Exploring the Potential of Solar Energy in Mosque Buildings: A Case Study of Dumai Islamic Centre Mosque in Riau Province, Indonesia

This study investigated the implementation of solar panels in the Dumai Islamic Centre (DIC) Mosque, located in Dumai City, Riau Province, to reduce carbon emissions. The study presents an overview of the significance of solar energy utilization and its potential benefits in the context of mosque buildings. This research was aimed to assess the criteria for selecting the appropriate solar panel type, determine the power output and PV area required for the DIC Mosque, and estimate the carbon emissions reduction resulting from installing solar panels. The study employed a quantitative research design and utilizes the Analytic Hierarchy Process (AHP) to select the most suitable solar panel type. The results reveal that polycrystalline solar panels are the optimal choice based on efficiency, power peak, operation and maintenance, and price criteria. Installing solar panels on the DIC Mosque's roof, positioned at an optimal height, ensures maximum sunlight exposure and energy generation efficiency. Calculations demonstrate a significant reduction in carbon emissions post-installation. The carbon emissions reduction potential is estimated at 57.693 kg CO2 eq per day or 21,057.95 tons CO2 eq per year. This highlights the positive environmental impact of solar energy implementation in the DIC Mosque.
Aplikasi Pengenalan Pola Huruf Aksara Kaganga Menggunakan Jaringan Saraf Tiruan Dengan Metode Ekstraksi Fitur Geometri

This research aims to enable the Rejang Lebong community to relearn the Kaganga script from elementary school children to the elderly. The Kaganga script is only learned through books, teenagers or adults no longer want to learn the Kaganga script, so it is important for the Rejang Lebong people to maintain their very valuable culture. The method used is a qualitative method which is a method that focuses on in-depth observation. Data collection was carried out using an observational study conducted in the form of experimental research using a case study approach per individual for 7 (seven) image inputs consisting of 28 (two eight) Kaganga script letters to 7 (seven) different people to obtain the number of executions. The expected number of Kaganga characters is 196 letters. Testing the application by applying artificial neural networks with geometric feature extraction succeeded in character recognition of images in testing with a success rate of 92%.
Afghan Enghlish Pronunciation Intelligibility: A Historically Segmental Phonetic Approach

The increasing demand for English learning and usage; and the instruction supply turns this work a mandatory structure to identify the divergences and convergences. This research examines the English pronunciation intelligibility features – precisely focused on segmentals – in case of Afghanistan. In order to do so, primarily, the recordings are analyzed perceptually and the deviations are verified acoustically. This research employees sociolinguistic variables for examination. The level of intelligibility of this variation along the international platform has been scrutinized. In methodological framework, respondents recorded data has been used as an intelligibility test material in the three concentric circles – inner, outer, and expanding – proposed by (Kachru, 1985). The topic entailment is vast. The researcher intends to comprehensively look into English pronunciation of Afghans pertaining in the context of Phonetic segmentals.
Geo-physical attributes of Shushunia’s aquifer, Chhatna block, Bankura district, West Bengal, India

Shushunia hill lies in a transitional zone of the South Singbhum Mobile Craton and northern Gondwana formation. The Shushunia hill appears like a porcupine peak and it has structural similarity to the Eastern Ghat. The Shushunia hill zone is an example of a contact spring. In the foothill zone, two perennial springs are observed. The study purely deals with its aquifer and water quality. Based on the present rock strata and the nature of the contact aquifer, its early condition has been assumed. The discharge of the confined aquifers occurs by leakage. The water temperature depicts the springs are not of geothermal origin. Shushunia's aquifer is the shallow flow system water table and it is the subdued replica of surface topography. The comparatively high discharge rate during post-monsoon indicates the fractured conduit-water seepage towards the aquifer. Moreover, twin-contact aquifers do not yield water uniformly. The perennial aquifer may act as a municipal water supply source for drinking purposes in the future.
STUDYING HISTORICAL FIGURES IN UKRAINIAN HISTORY LESSONS AS A MEANS OF FORMING STUDENTS' CREATIVE THINKING

The article analyzes the methods and techniques of organizing the study of a historical figure in the history lessons of Ukraine, which are most often used in the practical work of teachers, and finds out their possibilities as a means of forming students' creativity.The main methodological techniques used by the teacher when working with a historical portrait in the process of forming the competence of students' research and cognitive activity are considered.It has been found that in the formation of students' creativity of thinking in the history of Ukraine lesson, an important place is occupied by educational activities aimed at forming cause-and-effect relationships and research competencies.Modern methods of teaching history offer various options for organizing students' work on studying a historical figure in Ukrainian history lessons. In particular, an important role in shaping students' creativity in forming an idea of a historical figure is played by the use of the artistic and journalistic variant. The teacher's organization of cognitive activities based on an illustrative portrait should also be aimed at developing students' creativity.It has been established that the consideration of a historical figure should be carried out in its dynamics, development, which will allow to convey the evolution of a person's views throughout life. The teacher should not allow one-sided assessments. This danger can be avoided by presenting the material alternatively, using different sources, showing the figure from different points of view, paying attention to the activities of diverse historical figures, not just positive ones. This will form the skills of independent critical evaluation of a person (and not only historical). The student should learn to consider a historical figure and his or her actions in relation to the realities of specific events of the time when he or she lived, and not from the standpoint of the present.Learning about the life and work of a historical figure in all its contradictions and complexity in the context of social processes will foster creative thinking and interest in history as a subject. A thoughtful study of the personality of a prominent figure will contribute to both a deeper knowledge of history and a positive pedagogical impact on the formation of a student's personality.At the same time, analyzing a particular personality can be the key to understanding the events in which they participated. When studying the life and work of a historical figure, you should avoid a dry list of the main dates and facts of their biography. Instead, it is necessary to create vivid, imaginative portraits that will be remembered by students and will influence the formation of their personality and values.
Interpretable Recommendation Based on Review Aspect-Level Preferences

Review-based recommendation systems usually employ explicit independent methods to learn vector representations of users and items to enhance recommendation performance, while often disregarding the interpretability of the recommendations. This paper proposes an explainable recommendation framework which called Interpretable Recommendation Based on Review Aspect-Level Preferences (IRAP). The model employs a two-stage task design to predict user preference and provide meaningful explanations. First, we utilize convolutional neural networks and aspect-level word embedding modules to extract user preferences and item features. Subsequently, we aggregate user and item vector representations along with rating label information and construct soft prompt texts, integrating them into pre-trained models. Finally, we undertake joint training, encompassing rating prediction tasks and review generation tasks, to improve recommendation performance and explanation quality. We conducted comparative experiments on two public datasets, and the results demonstrate that our model has shown significant improvement in BLEU and ROUGE metrics for review generation tasks.
Integrating Virtual Reality Laboratories (VRLs) in Chemistry Education: A Systematic Literature Review

This systematic literature review investigates the importance of integrating Virtual Reality (VR) in chemistry education. It was discovered that only six countries are actively implementing and improving Virtual Reality Laboratories (VRLs) in chemistry education, with the United States (US) being the foremost country in research on VRLs. After 2021, there has been a significant surge in interest in the field, particularly through the Oculus system. Two specific topics that can be augmented by VR learning are laboratory safety and studying atomic and molecular structures. Unity 3D is the most widely used and accessible programming tool, and further studies are necessary to broaden the precise application of VR in chemistry education within the ASEAN and Malaysian settings.
Exploring the Impact of Augmented Reality on Student Engagement and Learning Outcomes in Science Education

This study explores the transformative possibilities of augmented reality (AR) in the field of scientific education, within the context of a technologically sophisticated society. In this research, we examine the impact of augmented reality (AR) on student engagement and learning outcomes via the implementation of a quasi-experimental design including both control and experimental groups. The examination of pre-test and post-test data reveals a statistically significant enhancement in learning outcomes among participants in the experimental group, hence indicating the efficacy of augmented reality (AR) in enhancing students' understanding of scientific concepts. The examination of engagement behaviors via observation demonstrates the role of augmented reality (AR) in facilitating collaborative learning experiences and maintaining attention, hence leading to enhanced student engagement. The results of this study align with other research that emphasizes the capacity of augmented reality (AR) to provide interactive and captivating educational experiences while enhancing comprehension. This research emphasizes the potential impact of augmented reality (AR) on scientific education, as it offers dynamic and immersive learning environments that effectively engage students and facilitate meaningful learning outcomes. While limitations necessitate additional investigation, the results of this study highlight AR's ability to transform the educational environment and improve the quality of science instruction.
Tornado In The Sea: A Media Transposition of the Barracuda Series Painting into a Musical Composition

This work is the manifestation of the transformation of Zaimie bin Sahibil’s painting, Barracuda Series, into musical form. The Barracuda Series painting presents the beauty and richness of the ocean bed as a utopian paradigm of the maritime ecology of the coastal community of Sabah, Malaysia. The composer was inspired by his own aesthetic experience when appreciating the painting. This aesthetic experience became the material object that was treated with the concept of media transposition and turned into a musical composition. The media transposition was implemented through the interpretation and transformation of the external and internal structural levels of the Barracuda Series painting. These elements were adapted to create musical elements as a form of innovation in the way the composition was created. the creation of this work involved a number of work stages that were implemented constructively through a method of creation. These stages included: an analysis of data sources, experimentation, contemplation, composition, and formation. The work process utilized the results of extra-aesthetic interpretation and intra-aesthetic transformation to create an innovative musical text. The musical composition Tornado in the Sea uses the instrumentation of piano, violin, and kalimba. The stages of creation included an analysis of data sources, experimentation, contemplation, arrangement, formation, and execution.