Reviewerly/exHarmony huggingface dataset:
Implementasi gerakan literasi sekolah pada literasi baca dan literasi numerasi peserta didik kelas IV sekolah dasar

&lt;p&gt;The purpose of this research is analyze the implementation of the School Literacy Movement and describe the supporting and inhibiting factors of implementation School Literacy Movement. The approach used in this research is a qualitative case study method. The subjects in this study were teacher and students of fourth grade. Research data collection techniques using observation, interviews, and documentation. The validity test of research data using source triangulation techniques and technical triangulation. Data analysis techniques use an interactive model consisting of data collection, data reduction, data presentation, and drawing conclusions. The research results obtained show that the implementation of the School Literacy Movement at Tegalrejo Number 98 Surakarta Elementary School in reading literacy and numeracy is quite good which can be seen from the three stages of implementing the School Literacy Movement which include the habituation stage, the development stage, and the learning stage carried out. Reading literacy and numeracy literacy activities at Tegalrejo Elementary School in improving students' reading and numeracy skills are carried out according to the literacy schedule. Reading literacy is carried out on Tuesday and Friday, numeracy literacy is carried out on Wednesday before learning for 15 minutes. In addition, this study found supporting and inhibiting factors of literacy and numeracy in the implementation of the School Literacy Movement. Implementation of the School Literacy Movement is an effort to foster a positive culture in students.&lt;/p&gt;&lt;p class="Abstract"&gt; &lt;/p&gt;&lt;br /&gt;&lt;br /&gt;
Implementasi pembelajaran keterampilan membaca permulaan pada tema 8 di Kelas I sekolah dasar

This study aim to describe the implementation of learning early reading skills on theme 8 in grade 1 Elementary School. This study discussed the plan, implementation and evaluation of learning early reading skills. This study used a case study qualitative research method. The research subject was the homeroom teacher from class 1 of SD Negeri 2 Pandansari. Data triangulation was utilized to ensure the accuracy of the research data collected through observation, interviewing, and documenting methods. The Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing, was employed as the data analysis technique in this investigation. The teacher has carried out planning including mapping basic competence, formulating indicator, learning objective, learning step, but does not plan learning evaluation. Implementation begins with conducting preliminary activities and then core activities. Closing activities are carried out covering all stages such as summarizing activity, reflection, follow-up and evaluation. Evaluation of learning that is carried out, the teacher does not plan and compile evaluation grid, instrument and guideline. Implementation of the evaluation by assessing cognition, attitudes and skill, follow-up, managing score and delivering grade.
Analisis keterampilan menulis menggunakan unggah-ungguh basa jawa kelas V Sekolah Dasar

&lt;p class="Abstract"&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;This study aims to describe students' writing ability in writing using Javanese language. This research uses a qualitative approach that produces descriptive data from people or an observation in writing or orally. The subjects used in this study were fifth grade students and teachers of SDN Mangkubumen Lor No.15 in the 2022/2023 school year. Data collection techniques used document studies of student essay results, interviews with fifth grade teachers and observations of the learning process. The data analysis technique used the Miles and Huberman analysis model. Based on the results of data analysis, it was found that the writing skills of fifth grade students of SDN Mangkubumen Lor No.15 were still low. Out of 13 students, 5 students are in the sufficient category and 8 of them are in the insufficient category because many indicators in writing skills using Javanese bases have not been met. Problems that arise related to students' writing skills using Javanese bases are students' mastery and understanding of Javanese bases are still very low, the vocabulary/lexicon owned by students is very minimal, the learning process is less interesting and interactive and the low interest of students in participating in Javanese language learning.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Education in the Digital Age: Navigating Challenges and Cultivating Character Values for the Next Generation

This research aims to find out about the challenges of education in the era of society 5.0: strengthening the character values of the digital generation in an effort to strengthen the character values of the digital generation so that they can improve the quality of good character. This research was conducted through a qualitative case study type approach. This research was conducted at the SMAI Miftahul Afkar Institute under the auspices of the Annabrowi Islamic boarding school, Sidopekso village, Kraksaan, Probolinggo, East Java. The data analysis technique in this research uses the Miles and Huberman data analysis model with stages of data reduction, data display, and drawing conclusions. Based on the results of research conducted, it shows that strengthening character values is carried out in several strategies including; instilling character values in every learning activity, optimizing school collaboration with parents, strengthening character values. The implications obtained from strengthening the character values of the digital generation are that schools have good quality students and identities that are easily recognized by the public, and have student graduates with high character.
Meningkatkan Hasil Belajar Matematika Melalui Media Papan Puzzle Pecahan Pada Siswa Sekolah Dasar

This study aims to determine the improvement of student learning outcomes using fractional puzzle board media. Based on the results of observations made by researchers at SDN Bancaran 3 Bangkalan, there are problems, namely the media used in learning is still limited, namely using simple theme books and companion books. The method used by the author in this research is the Classroom Action Research (CAR) method and uses the Kemmis and Mc. Taggar method which is carried out in two cycles. Each cycle has four stages, namely planning, action, observation, and reflection. The research site is at SDN Bancaran 3 Bangkalan , with the research subject of class II B students as many as 8 students. The data collection techniques used were tests, observations, and documentation. This study used an instrument in the form of test questions. Based on the results of research data analysis, it showed an increase in student learning outcomes by using the fractional puzzle board media. This can be seen from the results of tests carried out by students in each cycle, in cycle I students get an average pre-test of 45% and post-test of 60%.In cycle II students get an average of pre-test of 75% and post-test 93.75%.
Kannada Handwritten Word Recognition Using Esld Method

The HCR method normally identifies writers' identities. It includes the crucial phase of segmentation, in which the handwriting text is converted into lines. SLD and the R Clustering technique for line and character segmentation in the framework of a handwritten documents Kannada literature. The words from the text lines are arranged here using an intelligent technique. The words that have been detected are then retrieved and saved in a new picture. During extraction, it is assured that no words intersect and that unnecessary information is effectively removed. Other proposed and well tested approaches to speed up the process of text region segmentation and skew repair of Kannada handwritten manuscripts are given in the investigation. The claimed average segmentation accuracy is 97.13 percent
Facial Human Emotion Recognition by Using YOLO Faces Detection Algorithm

Deep emotions have gained importance recently because they constitute a form of interpersonal nonverbal communication that has been demonstrated and used in a variety of real-world contexts, including human-machine interactions, safety, and health. The best elements of a human face must be extracted in order to forecast the proper emotion expression, making this method extremely difficult. In this work, we provide a brand-new structural model to forecast human emotion on the face. The human face is found using the YOLO faces detection technique, and its attributes are extracted. These features then help to classify the face image into one of the seven emotions: natural, happy, sad, angry, surprised, fear, or disgust. The experiment demonstrated the robustness and speed of the suggested structure. This paper made use of the FER2013 dataset. The experimental findings demonstrated that the proposed system's accuracy was 94%.
Anomaly Detection with Gradient Boosting Regressor on HVAC Systems

HVAC systems are important in buildings due to their significant energy consumption, impact on indoor air quality, and role in occupant comfort. Optimizing the operation and control of these systems is crucial for improving energy efficiency and reducing costs. Anomaly detection in HVAC systems aims to optimize energy consumption, improve thermal comfort and indoor air quality, detect and isolate sensor faults, and, more importantly, detect cyber-attacks. By analyzing system data for unusual patterns or unauthorized access attempts, anomaly detection can play a vital role in safeguarding HVAC systems against cyber threats. Detecting and isolating potential cyber-attacks can prevent disruptions in building operations, protect sensitive data, and ensure the continued functionality of HVAC systems securely and reliably. In this study, Gradient Boosting Regressor is used to improve the anomaly detection capabilities of HVAC systems. Traditional anomaly detection methods often struggle to adapt to the dynamic nature of HVAC systems and may generate false alarms or miss critical issues. To address these challenges, we propose the application of Gradient Boosting Regressor, a powerful machine learning technique, to enhance anomaly detection accuracy and reliability. We evaluate the model's performance using real-world HVAC data, comparing it with existing anomaly detection methods. The results demonstrate significant improvements in the system's ability to identify anomalies accurately while minimizing false alarms. This research advances HVAC system security by providing a more robust and adaptive anomaly detection solution. Integrating Gradient Boosting Regressor into the cybersecurity framework of HVAC systems offers improved protection against cyber threats, thereby enhancing the resilience and reliability of critical infrastructures.
Information System of Staple Material Sales in Website-Based Online on Tulangan Market (Case Study: Pak Latief's Shop)

Developments in the economic sector so far have had quite rapid consequences in the business world, this has resulted in differences in sales at the market level. The market itself is a meeting place for buyers and sellers to make buying and selling transactions of goods or services. Tulangan Market is a traditional market located in the District of Tulangan, Sidoarjo Regency, East Java Province. In the Reinforcement Market there are several types of sellers such as retail traders, wholesalers and kiosks which are scattered in almost all corners of the market. The Tulangan market is also not much different from markets in general which sell daily needs such as food ingredients in the form of fish, fruit, vegetables, eggs, meat, cloth, electronic goods, services, etc. Besides that, it also sells traditional cakes and other Indonesian food. Not all traders in the Reinforcement Market can carry out the buying and selling process freely, especially during erratic rainfall. This creates problems in the sales process factors for traders. After knowing this problem, the author wishes to help traders who do not have their own trading area so that they can run their business stably and smoothly. With the current rapid world of technology, the authors hope that traders can use web pages that are familiar to many people to alleviate their problems through the "Website-Based Market Information System Case Study of the Sidoarjo Tulangan Market".
Information System for Processing Police Report Data at the North Gorontalo Police Women and Children Protection Unit

Designing an Information System for Processing Police Report Data at the Women and Children Protection Unit of the North Gorontalo Police, so that it can assist officers in collecting large numbers of reports, and can present reports quickly. The method used is the Research and Development (R&amp;D) method. The system is made with PHP and HTML programming. The database used is the MySql language. For modeling using UML (Unified Modeling Language). For testing this system using white box and black box testing where with this test the correct graph flow is obtained as a sample the researcher tests the Input Data flowchart Report on the admin system obtained is the value of region (R) = 3, Independent path = 3, and Cyclomatic Complexity (CC) = 3.
Expert System for Diagnosing Cow Disease Using Web-Based Forward Chaining Method

Media Technology and Information is currently developing quite quickly and well. Some people and even almost all of the surrounding community are familiar with technology, especially in the science of artificial intelligence. With this expert system, it can help alleviate the need when it is difficult to meet experts, especially livestock specialist diseases. The purpose and benefits of this expert system is to make it easier for researchers to identify livestock disease problems based on the symptoms suffered by cattle. The identification method used in this system is the Forward Chaining Method and collects symptom data from several sources and verified journals. The desired result of this research is the reduction of disease or outbreaks that occur in Livestock Cattle &#x0D; and provide prevention and treatment solutions so as not to be attacked by diseases and outbreaks.
SENTIMENT ANALYSIS USING CUSTOMER FEEDBACK

This Sentiment analysis is one of the fastest spreading research areas in computer science, making it challenging to keep track of all the activities in the area. We present customer feedback reviews on products, where we utilize opinion mining, text mining and sentiments, which has affected the surrounded world by changing their opinion on a specific product. Data used in this study are online product reviews collected from Amazon.com. We performed a comparative sentiment analysis of retrieved reviews. This research paper provides you with sentimental analysis of various smart phone opinions on smart phones dividing them Positive, Negative and Neutral Behavior.
The Effectiveness of the Role Playing Method on Students' Speaking Skills in Indonesian Language Learning for Elementary Students

This study aims to improve students' speaking skills through learning with the role play method in grade IV elementary school students in the 2022/2023 school year. Previously, students were still passive in participating in the learning process, especially in Indonesian language subjects because in learning activities the teacher had not used a learning model. Teachers often use the lecture method followed by doing questions in the theme book so that students get bored quickly. The subjects of this study were fourth grade students as an experimental class totaling 28 students. This research is a quantitative research with the form of one pretest-posttest design. This design has a pretest, before treatment and posttest after treatment.
THE IMPLEMENTATION OF CONTEXTUAL, CONSOLIDATING, RECEIVING, RECOGNIZING, RETAINING, RETIEVING, AND RECYCLING (2C-5R) MODEL TO ENCHANCE THE STUDENTS ENGLISH VOCABULARY AT SMP GOWA RAYA MAKASSAR

This research applied a pre-experimental method that spending two months periot of time to ceollectdata using pre-tes, treatment, and post-test. Data were taken from 21 srudents using a total sampling technique from the second grade of Gowa Raya Junior High School. the researcher found that the studets' vocabulary wa very slow, but after the treatment their vocabulary knowledge increased significantly as evidenced by the students' average results.The results of this study indicate that the difference in students' words is a significant difference between the pre-test and post-test score. And the mean score of pre-test was 67.52, and the mean scoree of post-test was 84.47. It can be seen the improvment of pre-test and post-test was 16.96% then calculate the t-test value for vocabulary is 11.18 t-table is 2.086. the alternative hypothesis (H1) is accepted and the null hypothesis (H0) is rejected. It can be conclude that that the use of the 2C5R model can improve student achievement, especially for Gowa Raya high school students.
Improving Students’ Vocabulary Achievement Through PVN (Personal Vocabulary Note)

The lack of English vocabulary mastery becomes a problem faced by the students of the eight grade students of SMP Negeri 1 Mempawah Timur. By the vocabulary problems faced by the students, they find it difficult to learn English. This research aimed to solve the vocabulary problems faced by the students. To solve the problems, the researcher chose a learning technique called PVN (Personal Vocabulary Note). It is a technique that encourage the students to write in their native language when they did not know how to say it in English. The researcher chose Classroom Action Research (CAR) by conducting two cycles and three meetings of each cycle. The data were collected from 21 students consisted of 10 female and 11 male students of the eighth grade students at SMP Negeri 1 Mempawah Hilir. In collecting the data, the researcher used vocabulary test, observation checklist and field notes. The data were analyzed by using triangulation. Based on the findings of the investigation done in this action research, the use of PVN could help the students memorized the vocabulary easily, motivated students and make them more interested in learning English. This can be seen from the improvements after each cycles. It can be concluded based on the result of the study that PVN better improved the students’ ability in vocabulary mastery at the eighth grade students of SMP Negeri 1 Mempawah Timur in Academic Year 2019/2020. Keywords: personal vocabulary note, teaching vocabulary
Designing My Vocabulary Learning (MVL) as an Interactive Multimedia to Teach The Seventh-Grade Students of SMPN 3 Sungai Ambawang

This research aimed to design MVL as interactive multimedia to support the process of teaching vocabulary to the seventh-grade students of SMPN 3 Sungai Ambawang. This research took the form of developmental research. The researcher has done three passes of ADDIE, which is ADD (Analysing, Designing, and Developing). While analyzing the data, the researcher followed the following six procedures: acquire involved with the data, create the initial codes, look for themes, identify themes, and compose them. The product was evaluated by expertise by looking at three criteria: correctness, reliability, and usability. The content analysis proceeds to be converted into descriptive data. The result of this study is an MVL product with three subtopic materials: things in the classroom, things in the kitchen, and things in the living room. Each subtopic consists of two activities: material and exercise. This product has been validated by an expert by using an assessment rubric based on three criteria: correctness, reliability, and usability.Keywords: Development Research, My Vocabulary Learning, Vocabulary Teaching, and Learning, Vocabulary
Advancements in Indian Sign Language Recognition Systems: Enhancing Communication and Accessibility for the Deaf and Hearing Impaired

Sign language is an ocular-mobile language utilized by deaf or hearing-impaired individuals. It conveys a combination of handshapes, motions, facial expressions, and body postures. Sign language is an essential form of communication with its unique grammar and syntax. The communication barrier between those who use sign language and those who do not is substantial. India has approximately 63 million people in the deaf or hearing-impaired community (DHH). Therefore, research within the realm of sign language recognition (SLR) shows great potential in enhancing the quality of life for individuals facing hearing disabilities and promoting better communication and integration into society. In recent years, sign language recognition has attracted considerable attention due to its significant role in human-machine interaction, accessibility, real-time interpretation, educational tools, and communication aids. This study reviews the most current developments in Indian Sign Language Recognition Systems (ISLRS). It discusses the commonly used algorithms, standard datasets, and performance characteristics of these systems in detail. Lastly, it highlights the challenges and future perspectives of these emerging technologies.
Application Of The Preference Selection Index And Method K-Means Clustering Method In Sales Product ( Case Study Of Ocha Cell Store)

The ocha cell shop is one of the shops engaged in the sale of mobile phones of various brands of mobile phones, the store has not used a special application in processing the products sold, but still uses manual data processing such as recording in a book. So that there is a accumulation of data that is not known for its benefits. One method that can solve this problem is the psi method and the k-means clustering method, because the psi method and the k-means clustering method are methods for solving multiple decision-making criteria, this method is useful if there is a conflict in determining the relative between attributes, so later on the final result of the calculation is that ranking is carried out by analyzing data on sales of goods that are in demand and not selling and the algorithm is partitional by using the value process repeatedly to get the value of the cluster database, it takes the desired number of initial clusters to produce the final ceteroid point as output. With this method, it helps store management to find out which cellphones are often sold and each time a transaction can later help in overcoming existing problems.
Expert System To Determine The Type Of Mental Disorder Using Certainty Factor Method

This study aims to create an expert system application to determine the type description of mental disorder in humans using certainty factor method. Mental Disorders are a group of symptoms characterized by changes in a person's thoughts, feelings and behavior that cause dysfunction in carrying out daily activities. The problems that often occur are the lack of knowledge and limited sources of information causing low public awareness of efforts to prevent and even treat mental disorders. The MySQL database can accommodate patient information and data who consult with an expert system that can make it easier for patients to consult about Mental Disorders. From the results of the system program on users, it was found that the average results of respondents' answers which reached 53% answered strongly agree, 26% answered agree, 14% answered less agree and only 7% of respondents answered disagree. So from the results of data processing, it can be concluded that this system is feasible to use. Because more than half of the respondents agree that this system is suitable for use