Reviewerly/exHarmony huggingface dataset:
Classification Analysis of Student Ability in Learning Using Clustering Method at SMA Tunas Pelita

This study aims to classify the assessment of the learning process at SMA Tunas Pelita Binjai T.A. 2018/2019 based on the average grade X, additional subjects applied technology, and student absenteeism classified using Matlab.The data is processed based on learning grouping as much as 2 clusters with different centroids, namely for cluster 1 the average value of even and odd semesters for class X (85.0), additional subjects of applied technology (86.3) and student attendance (2.4) and cluster 2 the average grades of odd-even semesters for class X (68.2), additional subjects of applied technology (70.3) and student attendance (2.4). In the final result, it can be seen that the grouping of learning at SMA Tunas Pelita Binjai with 100 data can be divided into 2 groups, namely group 1 with 62 data with an average value of odd and even semesters and high additional applied technology and student absenteeism. low grades are classified as students with good grades and group 2 as many as 38 data with an average value of odd, even semesters and low values ​​of applied technology and high student absenteeism belonging to students who have poor grades.
Enhancing Agricultural Data Security Through Invisible Image Watermarking: A Strategic Management Perspective

Enhancing agricultural data security through invisible image watermarking requires a strategic management perspective. By leveraging this technology, the agricultural sector can protect valuable data, mitigate risks, and strengthen the integrity of information flows. However, successful implementation necessitates careful consideration of decision-making processes, resource allocation, organizational alignment, stakeholder engagement, and regulatory compliance. Further research and collaboration are crucial to unlock the full potential of invisible image watermarking for agricultural data security.
Analysis Of Multiple Regression Data Mining Methods On The Prediction Of Ibtidaiyah School Registration

Data mining originates from data explosion problems experienced by agencies / companies that have collected data from various kinds of transactions. Data mining is the process of looking for patterns or interesting information in selected data using certain techniques or methods. Techniques, methods, or algorithms in data mining vary widely. The choice of the right method or algorithm is very much dependent on the objectives and the overall Knowledge Discovery in Database (KDD) process. The algorithm used in this research is Multiple Linear Regression. School is a suitable place for the application of this method, therefore this research was conducted at the Madrasah Ibtidaiyah Sinaksak Foundation School. The purpose of this study, among others, was to determine the number of registrants at the Madrasah Ibtidaiyah Foundation School (YMI) Sinaksak. In this study, researchers used multiple linear regression association data mining methods. Sources of research data used are observation and interview methods. It is hoped that from the research the school can make a decision or strategy in the estimation of registrants in the following year.
EXPERT SYSTEM FOR HYPOTHYROIDISM DIAGNOSIS USING CASE BASED REASONING METHOD (CASE STUDY OF MELATI II Public Health Center)

In this study, we will discuss the development of an expert system application for diagnosing Hypothyroidism. In diagnosing Hypothyroidism, this expert system will use the Case-Based Reasoning (CBR) method. CBR uses artificial intelligence in solving problems based on knowledge from previously stored cases. Case data was obtained from medical records from the results of handling Hypothyroidism patients diagnosed by internal medicine specialists. There are 5 types of hypothyroidism disease with one symptom of the disease in the old case. And there are new cases that will be used to calculate the similarity value to the old cases that exist in the knowledge base owned by the system.
New Paradigm E-Learning Model Based on Artificial Intelligence

This research concerns the application of a new paradigm learning that provides flexibility for educators to formulate learning designs and assessments according to the characteristics and needs of students. To improve the quality of education in Indonesia, the government has made various breakthroughs and most recently is a new paradigm learning system to create a Pancasila student profile that accommodates all differences in students, is open to all and provides the needs needed by each individual. Therefore an application system is needed to support learning a new paradigm based on artificial intelligence, artificial intelligence plays a role in knowing the level of abilities and needs of students and follow-up learning according to the needs and abilities of students available in online learning media. With the e-learning application, a new paradigm based on intelligence is produced by smart adaptive e-learning that can accommodate each individual or student with a background of different levels of abilities, weaknesses, talents and interests with artificial intelligence and machine learning technology approaches that will identify students with a diagnostic assessment that is used as a recommendation for planning learning according to the needs and abilities of students
Basic Human Values and the Adoption of Cryptocurrency

Cryptocurrency is an attempt to create an alternative to centralized financial systems using blockchain technology. However, our understanding of the psychological mechanisms that drive cryptocurrency adoption is limited. This study examines the role of basic human values in three stages of cryptocurrency adoption–awareness, intention to buy, and ownership–using the Theory of Planned Behavior (TPB). Logistic regression analysis was conducted on a quota sample of 714 German adults, and the results showed that openness-to-change values increased the likelihood of cryptocurrency awareness, while self-enhancement values increased the likelihood of intention to buy and ownership. These findings were consistent even after controlling for demographic characteristics, attitudinal beliefs, and perceived behavioral control, which are important factors in the TPB. The results suggest that basic human values may influence an individual's decision to adopt cryptocurrency, but the transition from awareness to ownership may be influenced by socio-economic opportunities available to interested individuals.
Grouping Medical Record Data By Type Diseases With K-Means Algorithm

Health is a very valuable thing for human life, because anyone can be affected by health problems without realizing what causes it. People who pay less attention to their health are more likely to get sick. Lack of awareness in protecting and preserving the environment will lead to the rapid spread of disease. Efforts in disease prevention are needed by increasing public awareness about the importance of clean and healthy living behavior. In the application of the k-means algorithm for data processing in finding medical record files in the form of notes and documents about patient identity, examination, treatment, and other service actions given to patients. Clustering is a data analysis method that performs the modeling process without supervision (unsupervised) is also a method that performs data grouping with a partition system. The result is grouping using K-Means Clustering which can help in grouping by type of disease and age, the results are divided into children and toddlers, young and adults, old and elderly.
The Expert System Determines Children's Emotions with Learning Achievement Using The Web-based Damster Shafer Method

Psychology studies human behavior and mental processes is possible there involved the use of technology, but the use and utilization of technology in the field of psychology is felt still lacking. One method that is still widely used in psychology that is by making the Demster Shafer sheet. Demster Shafer method can be modified in the form of computer applications, where the application is using the knowledge of experts of psychology entered into the computer called expert systems applications. Application of expert system is designed to determine the child's learning style at primary school age. Application of expert systems is expected to overcome the problems of determining the child's learning style. In addition, it can be used as a support in the field of psychology and can be used for public purposes and individuals in general.
Optimization of Higher Education Internal Quality Audits Based on Artificial Intelligence

Internal Quality Audit is an independent and documented systematic testing process to ensure that the implementation of activities in higher education is in accordance with the procedures and the results are in accordance with the standards to achieve the goals of the institution. Quality can be guaranteed by ensuring that each individual has the skills he needs to do the job properly. Quality orientation in development life in Indonesia is something that is very urgent, must be supported and developed in order to respond to the trend of global competition. There are significant differences in the accreditation and quality assurance system with the previous version, it is necessary to develop a strategy by building an artificial intelligence-based system. The method used is to build an online system by involving experts and assessors to develop concepts in accordance with the points of the 9 criteria accreditation forms, to build a digital quality audit form for matching and the level of conformity between the implementation of higher education standards and the standards set, the benefit is to help universities implement digital and intelligent based internal quality audits, know the tri dharma standards of higher education that must be improved, maintained and deviated
Application Of Sugeno's Fuzzy Inference System In Determining Inventory Goat Milk

Goat milk is one of the milk that is traded by the community because this milk has many benefits that are good for the health of the body and prevent bone damage in old age. Thalebkawnhinca Farm is a business that trades goat's milk both per liter and per pack. The erratic supply of goat's milk causes consumer demand cannot be fulfilled and the milk sales process becomes hampered. Therefore, this study aims to apply fuzzy logic with the Sugeno method in determining the amount of goat milk supply at Thalebkawanhinca Farm based on data on demand and sales of milk in April 2021. Based on data on demand and sales of goat's milk, the amount of milk supply that must be added if known demand of 90 liters and sales of 75 liters amounted to 25.1953125 liters. The result of this research is the implementation of a milk supply system that can be used in determining and providing information on the amount of goat's milk supply to the owner of the Thalebkawanhinca Farm.
The Application of ANN Predicts Students' Understanding of Subjects During Online Learning Using the Backpropagation Algorithm at SMAN 1 Perbaungan

This study is a study to predict the level of students' understanding of the subjects given by educators at SMAN 1 Perbaungan. This study aims to determine how far the level of understanding of students in understanding lessons, especially during the current covid-19 pandemic, which is a process of teaching and learning activities carried out from their respective homes or using online learning media. The method used is an artificial neural network with Backpropagation algorithm with variables used are knowledge values, skill scores, mid-semester exam results, end-semester exam results, and attitude scores. The five variables are used to support predicting the level of student understanding of the subject using the single layer Backpropagation Algorithm. The architectural model used is 5-2-1 with a success accuracy of 85%. The smaller the error value that is close to 0, the smaller the deviation of the results of the Artificial Neural Network with the desired target.
Knearst Algorithm Analysis – Neighbor Breast Cancer Prediction Coimbra

A process to explain the results of the KNN algorithm analysis with the prediction of Breast Cancer Coimbra disease (Breast Cancer). The prediction output of the KNN algorithm will be added with the Simple Linear Regression algorithm modeling to measure the predictive data through a straight line as an illustration of the correlation relationship between 2 or more variables. Linear regression prediction is used as a technique for the relationship between variables in the prediction process of the Breast Cancer Coimbra data set (Breast Cancer). for the value of K in analyzing the KNN algorithm, take the nearest neighbor with the ranking results with K = 5 nearest neighbors which are taken in the KNN calculation. Which is where the output of the KNN algorithm classification will be analyzed with the Simple Linear Regression algorithm with Dependent (Cause) and Independent (effect) variables. The test results determine that the patient has breast cancer and the number of predictions based on age with glucose means that the patient is predicted to have breast cancer. analyze the KNN algorithm with Simple Liner Regression modeling with Python programming language.
Application Of The C4.5 Algorithm To Determining Student's Level Of Understanding

This research was conducted to find the rules of the model in measuring the level of students' understanding of the subject. During this pandemic, the learning process is carried out online, so it is difficult to measure students' ability to master the material. This measurement needs to be done so that the evaluation process can be carried out so that the ability of students in one group to achieve the target level of understanding. Currently, evaluation activities have never been carried out because they do not have a model so that evaluation can only be done by giving quizzes and exercises. This problem can be solved by using data mining algorithm C4.5. Attributes used as parameters for assessing student understanding of lessons such as Teaching Method (C1), Learning Media (C2), Communication (C3), Experience (C4), Teaching Materials/Modules/Assignments (C5), Learning Duration (C6). The six attributes are used to find the relationship between each other that influence each other to get the highest root so that a decision tree will be obtained that produces the rules of the relationship between each attribute in determining student understanding of the subject. This rule or rule will be used as the basis for making an information system so that it can be applied to end users, namely schools.
Impact of Educational Games To Introduction Tourist Destination In Central Java On Elementary School Student

Educational games are learning media in the form of games that contain material in them. Includes questions, guessing pictures or etcetera. Educational games can also become alternative learning media in the covid-19 pandemic. This study aims to determine the effect of educational games on the understanding of elementary school students regarding the introduction of tourist objects in Central Java. The method is pre-experimental research through pretest and posttest to determine the effect of two variables but there is no control group. Students of SDN 3 Purbalingga Lor are the subjects of this study, with a frequency of 14 students. Pretest data was obtained, the lowest score was 10 and the highest was 70, with an average grade as 33. If you look at posttest results, the highest score was obtained with a score of 100 and the lowest score was 80, with an average grade of 95. This proves the educational games have an effect on the ease of students in understanding the material, especially to know tourist attractions in Central Java. &#x0D;
Implementation of the K-Means Method in Grouping Merchandise Locations at the Market Service

One of the strategies to increase sales in traditional markets is the strategy of placing the selling location. This is done so that the products marketed are in accordance with the type so that consumers will feel comfortable with the ease of shopping. In this study, observations were made on the traditional market of Horas market in the market service area of ​​Pematangsiantar City. At this time the arrangement of selling locations has not been well organized so that there is little interest in the community to shop. This of course will affect the economic turnover of traders. These problems still occur today and there is no solution because market managers do not have a model that can be simulated. One of the computer science approaches to this problem is the K-Means algorithm data mining so that it is hoped that this research can help the market department in classifying merchandise locations in order to attract people's interest to shop at traditional markets so that there is an increase in the community's economy
APPLICATION OF DATA MINING IN DETERMINING SOCIAL ASSISTANCE RECIPIENTS WITH C4.5 ALGORITHM

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.
Parental Social Support and Emotional Intelligence of Third-Year Junior High School Students

Emotional intelligence is the ability needed by junior high school students to answer the task of seeking identity development. It may be influenced by the social environment. This study aimed to examine the relationship between parental social support and emotional intelligence in students of SMP Negeri 1 Baturetno. From a total of 235 population, 170 students were obtained as participants using a simple random sampling technique. Data collection used the Parental Social Support Scale (12 items, α = 0.893) and the Emotional Intelligence Scale (11 items, α = 0.860). The results show that both parents' social support and emotional intelligence are in the high category. The analysis implies that there is a significant positive relationship between social support and emotional intelligence. The higher the social support, the higher the emotional intelligence. The correlation coefficient is categorized as moderate (r= 0.474) with a significance of 0.000 (p &lt;0.05). Social support contributes to emotional intelligence by 22.5%. The research has implications for the urgency of a family as a social environment in adolescent development, including in the socio-emotional realm.
Development of integrative-transparent educational environment training engineers of agricultural production

The present article deals with the research in formation of educational environment on the basis of the principle of integration for formation and development of different levels and kinds of professional competences training the future engineers of agricultural production. The aim of the research is organising the educational environment in education of engineers that helps in formation and development of different levels and kinds of professional competences, acquisition of the teaching material more effectively, acquisition of fundamental knowledge and skills to apply this knowledge. In the research the methods of investigation in the educational environment were used, as well as the methods of analysis studying the pedagogical experience of teachers at agrarian universities, pedagogical experiment, and statistical methods in calculation of the results of pedagogical experiments. The research concept is based on the fact that the professional training of future engineers in higher educational institutions is aimed not only at the acquisition of knowledge, skills and abilities, which are determined by the educational and qualification characteristics, but also at the acquisition of skills and abilities to organize independent work on the study of software material. Achieving this goal is possible under the conditions of the introduction of personally-oriented learning technologies, ensuring thorough motivation of students, providing material and methodological support and developing rational mechanisms for end-to-end programming of individual independent work according to the principle of the “tree of goals”, i.e. end-to-end execution of small independent works: essays, calculation works , graphic, calculation-graphic, creative, descriptive in the calculation of their thematic entry into more capacious independent works - term papers and projects, which, in turn, are included in qualifying diploma theses or projects. The methodology of integrative-transparent organisation of the educational activities of the students at agrarian universities is universal and can be used also for other specialties. The results of the pedagogical experiment showed increase in student success what proves the efficiency of application of the research results. The results of the research showed also the influence of the organised professional orientation activities of students in learning fundamental subjects on the motivation for learning and professional interests. Motivation to acquire the fundamental subjects and interest in profession also had a trend to improve. Improvement of student achievements in studies, motivation level and professional interests prove the efficiency of the results of the performed research in formation of the organisation principles of student activities.