Reviewerly/exHarmony huggingface dataset:
Proposed Farm Information Management System Design and Database Management for Recommendation Fertilizer and Financial Record Feature

This study proposes a comprehensive Farm Information Management System (FIMS) design and database management strategy for addressing the specific requirements of Indonesian agriculture, with a particular emphasis on fertilizer recommendation and financial record management. The study employs the Software Development Life Cycle (SDLC) methodology as a framework for directing the system’s design, development, and implementation. The goal of the FIMS is to provide producers with a user-friendly interface to access accurate fertilizer recommendations based on crop-specific requirements and local soil conditions. Additionally, the system includes a robust financial record function to aid producers in effectively managing their income, expenses, and investments. The proposed SDLC-based approach assures a structured and methodical development process, including requirements analysis, system design, implementation, testing, and maintenance. Using the SDLC methodology, this study seeks to develop a scalable, secure, and interoperable FIMS that can be effectively integrated into Indonesia’s existing agricultural infrastructure. The effectiveness and usability of the proposed system will be determined through extensive testing and evaluation to ensure its suitability and functionality in actual agricultural contexts. Ultimately, the proposed Farm Information Management System, developed using the SDLC method, aims to empower Indonesian farmers with optimized fertilizer recommendations and streamlined financial record management, thereby contributing to sustainable agriculture practices, and enhanced economic incomes for the nations.
Application of Hot Potatoes 6 Software in Teaching English Listening Comprehension Skills for Primary Education Students at Tan Trao University

The article is based on the theory of English reading comprehension skills, Hot Potatoes 6 software, and a survey conducted to assess the current state of English listening skills among students majoring in elementary education at Tan Trao University. Through an exploration of the teaching and learning practices of English, it can be said that students encounter specific difficulties in learning listening skills. They often lack interest in this subject and do not allocate much time for it. Based on these findings, the application of Hot Potatoes 6 software is introduced through four steps. The experimental results of implementing Hot Potatoes 6 software in teaching English listening skills for students majoring in elementary education demonstrate that students exhibit better listening skills, improved effectiveness, and a more proactive approach to learning.
Empowering Students Disaster Literacy: An Effort to Decrease Disaster Risk towards Reading Aloud Strategy

This study aimed to prove whether the Reading Aloud Strategy can empower the disaster literacy of Al-Khairaat II Junior High School students. This research design is pre-experimental, in which researchers use one pretest-posttest group. The characteristic of this design is that it can only have pre-test and post-test groups without a control group. The sample of this study was students of class VIIIB of Al-Khairaat II Junior High School, Palu, a total of twenty people. The results of the data analysis showed that the alternative hypothesis is accepted, proving that the mean value of the post-test is greater than the mean value of the pre-test. In addition, the t_count value (4.7) is higher than the t_table value (2.024) with a significance level of 0.05 and (20-1) degrees of freedom (df). It is proven that the Reading Aloud strategy can improve the disaster literacy reading skills of students in class VIIIB of SMP Al-Khairaat II Palu.
Neural Fields for Visual Computing: SIGGRAPH 2023 Course

Neural fields---popularized by NeRFs ('neural radiance field')---seem to be everywhere in the popular press (e.g., Corridor Crew) for applications such as shape and image synthesis and human avatars. But, beyond writing research papers and fancy demos, what benefits might they bring to the broad SIGGRAPH community - to artists, game developers, or graphics engineers - through their inherent properties?
Implementation of Education Game-Based Learning Media Kahoot! In Agribisnis at the University Of Bangka Belitung

Education is a process of changing knowledge, increasing, skills, improving attitudes and behavior of humans or groups that are trying to educate the life of the nation and humans by carrying out learning and teaching process activities as well as guidance on training learning. Among the developments in science and technology (science technology), technology applications to websites are now widely available and can facilitate the student learning process in an interactive and active way, with the application of this technology it provides opportunities for students to review information and be able to practice knowledge, as well as student skills in the learning process by enjoying the game.
The system of Teachers' training in Japan on the stage of Teacher Standards Creating

Presented analysis of the teacher’s training process in Japan. Clarified the features of education courses and training for improving the qualiﬁcations of mid-career teachers. Examined papers and focused on basic knowledges and skills during the process of drafting for creating criteria that enable teacher assessment. Suggested to take into account some points of Russian Teacher’s Standard.
Mapping Research of Culture Education Learning Media: A Bibliometric Analysis

Culture education plays a crucial role in fostering a well-rounded understanding and appreciation of diverse cultural practices, heritage, and identities. In recent years, there has been growing interest in utilizing learning media to enhance culture education experiences. This paper presents an introduction to a bibliometric analysis that explores the research landscape surrounding culture education learning media. By systematically mapping the existing scholarly literature, this study aims to provide insights into the trends, patterns, and gaps in research related to culture education learning media. Through this analysis, researchers, educators, and policymakers can gain a comprehensive understanding of the current state of knowledge in this field and identify areas for further investigation and development.
Learning Through Augmented Reality: The Indonesia Open University Experience

Augmented reality is a combination of the real dan virtual worlds that has an opportunity to be an integrated learning medium in online tutorial classes. The potential of augmented reality with multimedia capabilities creates an immersive learning environment. TPEN4314 Produksi Media/ TV course is a course that requires practice through augmented reality media for students in Open University specifically in the Educational Technology study program. This study aims to investigate the correlation between the experience of using augmented reality with student learning motivation, engagement, and acceptance of technology as well as the influence of the three variables on the experience of using augmented reality. The research method used quantitative with Likert Scale questionnaires and data analysis with multiple regression tests. The result of the analysis showed that there was a correlation between the variables of augmented reality experience and the three independent variables that affected the dependent variable. It is hoped that this research can contribute to tutors and learning media developers to design learning media that facilitate the independence of distance student learning to achieve the goal of competency in practical courses so that students get a meaningful learning experience.
Optimasi Pengurutan Data Bilangan dengan Menggabungkan Algoritma Selection Sort Hybrid dan Bucket Sort

Sorting algorithms are crucial in data processing, particularly for integer data. However, as the number of integers to be sorted increases, the sorting algorithm takes longer to complete, especially for algorithms with O(n2) complexity. This article discusses optimizing integer data sorting by combining the Selection Sort Hybrid and Bucket Sort algorithms. The study aims to test the performance of the Selection Sort Hybrid and Bucket Sort algorithms and compare them with other data sorting algorithms. The research method used is experimental quantitative research, using randomly generated data using Python. The data were tested using the Combined Selection Sort Hybrid with Bucket Sort algorithm, Selection Sort Hybrid, Quick Sort, and Merge Sort. Data analysis was done by calculating the execution time of each sorting algorithm. The results show that the Selection Sort Hybrid and Bucket Sort algorithms are faster than other sorting algorithms in testing with large and complex integer data. Therefore, combining Selection Sort Hybrid and Bucket Sort algorithms can improve the efficiency and speed of sorting complex integer data.
MOORA: Metode Sistem Pendukung Keputusan untuk Menentukan Kelayakan Peminjaman Modal Dana Bergulir

Koperasi Doni Jaya is one of the savings and loan cooperatives that provides solutions in assisting the provision and for various needs in a fast and easy loan process. However, the loan process takes a long time and must also determine the customer who is eligible to be given the capital loan. The model used to build this system is waterfall with stages of analysis, design, build testing, and implementation. This research was carried out at the Koperasi Doni Jaya at the Asahan District Education Office. The Analysis phase is carried out to obtain the needs of the system that we developed with the MOORA method. The design phase is carried out to determine the interface design, and flowcharts on this system. Furthermore, the coding and testing stages are carried out to create a system and test using blackbox. Our findings are in the form of a decision support system to determine the feasibility of revolving fund capital lending. The test results show that this system is already running well, and is in accordance with the design, as well as the model applied. With this system, it can help this cooperatives determining eligible and uneligible customers to be given revolving fund capital loans.
Sistem Diagnosa Laying Hens Disease menggunakan Dempster Shafer

Laying hens are animals that are widely bred by people in Indonesia, especially in the province of North Sumatra as a form of micro, and medium enterprises, commonly abbreviated as UMKM. In order to improve health and avoid disease in these animals, it is necessary to have the knowledge to deal with the symptoms of existing diseases. The purpose of this study is to create a system for diagnosing disease in laying hens using the Dempster Shafer method. The stages of making this system are analysis, design, implementation, and testing. Collecting data on the study through observation and interviews about diseases in these animals. Meanwhile, in this research design, application architecture and interfaces are created. Data analysis technique using Dempster Shafer and testing is done shade Blackbox. Our findings are an expert system that can diagnose dempster shader hens’ disease. This system can also be implemented using the Dempster Shafer method and is then running well and can provide diagnosis results with an accuracy of 99.04%. In addition, the test results show that the modules in this system are already functioning and successfully based on the Blackbox results. Therefore, this system can be used to find out the symptoms of disease in laying hens, especially in the Food Security and Animal Husbandry Service of North Sumatra Province, which is Asahan Regency.
SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN KARYAWAN TERBAIK DENGAN METODE SAW

This Finance company works in providing financial solutions for Indonesian people. This company requires a decision support system in assessing the performance of employees in the company. The method is Simple Addictive Weighting (SAW).&#x0D; The SAW method is the solution to support the decision making of the system. Create a decision support system using the Simple Addictive Weighting (SAW) method to make it easier for this company to select the best employees on a certain period.&#x0D; Managers can set qualifications in determining the best employees. It becomes a tool in the decision support system.
Klasifikasi Ujaran Kebencian Menggunakan Metode FeedForward Neural Network (IndoBERT)

Everyone in Indonesia has freedom of speech, both in real life and on social media. However, freedom of speech carried out without filtering can lead to hate speech. Hate speech is a form of discrimination directed against individuals or groups of individuals based on race, religion, gender, sexual orientation, or other identities. Hate speech can harm other parties which as a result can trigger conflict, violence, and can even cost a person's life. Therefore, it is important to be able to identify and manage this hate speech effectively. One way to manage hate speech on social media is to classify it. In this study, a web-based application was created that can classify a sentence to determine whether the sentence is hate speech or a normal sentence. The model created for classification uses the feedforward neural network method with IndoBERT. Based on the test results, the model created using the feedforward neural network method with IndoBERT provides the best accuracy of 89.52%.
SISTEM INFORMASI PENJUALAN E-COMMERCE JASA PERCETAKAN BERBASIS WEB PADA PT TRISTAN ALUR JAYADI

In the era of information technology development, which is becoming increasingly sophisticated every year, there is a printing service company that wants to expand their business using information systems. Therefore, a website is needed as a marketing system and a means of selling printing services to improve service and data processing more effectively and efficiently. The research method used for data collection was by interview, while the system development model used was SDLC Waterfall, which consisted of five stages: requirement definition, system and software design, implementation and unit testing, integration and system testing, and operation and maintenance. As a result, the creation of web-based ordering printing service information system website was successful, using the PHP and MySQL as the main programming languages, while using Visual Studio Code and XAMPP as the main programs. Black box testing was carried out and all modules could be used smoothly according to the expected standard results. User acceptance test (UAT) was also carried out and the result was that the user and several respondents understood the use of website and were successful in carrying out the given test cases.
Mengidentifikasi Strategi Promosi pada Jasa Penjualan Saldo Digital menggunakan Pendekatan Clustering

The rapid development of information technology has impacted various fields, one of which is cellular telephony. The increasing number of people who have cell phones impacts the need for digital products, especially digital balances, which are increasing. This study aims to identify digital balance sales so that they become input, especially the ZAR counter-promotion strategy. This study uses the clustering method and the K-Means Algorithm to obtain several clusters of transaction types based on the nominal sales price. The silhouette is used to find the number of clusters. The dataset used in this study is the sale of digital ZAR counterbalances from November 2021 to October 2022. This research resulted in a total of 2 clusters. First cluster with low price nominal sales was 49,213 data, while second with high nominal price sales was 3,076. The study results show that the k-means algorithm can be used to cluster sales of ZAR counter digital balances, and ZAR counter digital balances are quite good. Still, there is data in clusters with high nominal prices. ZAR counter owners can create promotional strategies by providing discounts below 142,000 so that customers who buy at a high nominal price move to a lower nominal price.
Sistem Pendukung Metode Pembelajaran Self Paced Learning bagi Mahasiswa di dalam Kelas berbasis Web

Currently Moodle is being used in the classroom learning process for web development courses at Universitas Ciputra by applying the self-paced learning method, but it is not optimal. Moodle features do not limit access to learning materials, so that the learning process in class is not based on actual student understanding and does not follow each student's learning pace. The purpose of this study is to determine the effectiveness of implementing self-paced learning methods in the classroom through the design of a web-based support system. This study uses a quantitative method with the SDLC model consisting of data collection, design, implementation, and system testing with Black Box. The data collection technique uses a questionnaire created with Google Form. At the design stage, the design is carried out on use case diagrams, entity relationship diagrams, and interfaces. The findings from this study are a web-based system to support students in applying self-paced learning methods in class. The test results show that all system functionality works well. This system makes the learning process in the classroom with self-paced learning more effective and helps students understand learning material well and is very effective in facilitating access to communication between students and teachers.
Implementasi Sistem Kendali Keseimbangan Statis Pada Robot Quadruped Menggunakan Reinforcement Learning

The basic thing to consider when building a quadruped robot is the issue of balance. These factors greatly determine the success of the quadruped robot in carrying out movements such as stabilizing the body on an inclined plane, walking movements and others. Conventional feedback control methods by performing mathematical modeling can be used to balance the robot. However, this method still has weaknesses. The application of conventional feedback control methods often results in an inaccurate controller, so it must be manually tuned for its application. In this study, reinforcement learning methods were used using Q-Learning algorithms. The use of reinforcement learning methods was chosen because no mathematical calculations are needed to control the balance of quadruped robots. The process of learning the system to train the agent's abilities is carried out using a Gazebo simulator. The learning results show that the system could run well as evidenced by the higher value of sum rewards per episode.
KLASIFIKASI PENYAKIT SIROSIS MENGGUNAKAN SUPPORT VECTOR MACHINE

Cirrhosis is one type of liver disease and is caused by forming fibrosis so that changes the liver structure become abnormal.Based on the presence of ascites, varicose veins, and bleeding, cirrhosis is divided into four clinical stages.This study aims to find the best classification model of cirrhosis using the support vector machine (SVM).SVM is a supervised learning method that aims to find the hyperplane with the maximum margin.In this study, the resulted model useful for determining the cirrhosis' stage from patients.The variables to classify are age, gender, ascites status, hepatomegaly status, spiders status, edema status, total bilirubin, total cholesterol, amount of albumin, amount of copper, alkaline phosphatase level test results, SGOT test results, amount of tryglycerides, amount of platelets, and prothrombin time.By applying radial basis function kernel, combination of parameter C and that gives the best accuracy is determined.The final model using SVM with parameters C = 1 and = 0,6 is the best model with the accuracy value of 67,86 percent.
KLASIFIKASI RAS ANJING MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK DENGAN ARSITEKTUR VGG-16

Dogs are lovable animals that bring companionship and fun to any household, but things to consider before getting a dog are their daily needs including food, shelter, and animal care, as well as affection and physical and mental stimulation. This research was conducted to introduce dog breeds and how to care for each breed. This system is built using Mask R-CNN and Convolutional Neural Network (CNN), a deep learning architecture.&#x0D; Mask R-CNN model is used for detecting and cropping dog in images, trained using Microsoft Common Object of Context (MS COCO) dataset. CNN is used for classification of dog breeds in images and is trained using 17.513 images of 17 different breeds. Result for Mask R-CNN show the detection accuracy for dogs has 74% using test images, and CNN show the identification accuracy using test images has 82% accuracy, and for CNN using cropped images has 87% accuracy.
IMPLEMENTASI METODE AGGLOMERATIVE HIERARCHICAL CLUSTERING UNTUK SISTEM REKOMENDASI FILM

People can now watch movies on their cellphones or other devices using applications, in addition to watching them on television or in theaters. The user's entered keywords are used as the basis for a system that suggests movies from among the many that have appeared over time. Later, similarity between these keywords and text data, such as movie titles and descriptions, will be assessed. This recommendation system will include preprocessing, and the TF-IDF method will be used to determine the weight value. After the weight values have been determined, the grouping calculations will be performed using agglomerative hierarchical clustering. Previously, the Manhattan Distance method will be used to calculate the distance. After that, the distance that is closest can be determined. The data will be clustered according to the shortest distance once the distance calculation is complete. Following that, the system will display the grouping as a dendrogram. The data used was updated as of the date of scraping, which is November 25, 2022, and contains a total of 2467 data. The Agglomerative Hierarchical Clustering method yielded the best silhouette coefficient value, 0.5025559374455285, forming 20 clusters.
EDUCATION OF CRITICAL THINKING OF UNIVERSITY STUDENTS

In order to fully understand the environment and the processes taking place in it, it is necessary to be able to think critically. The importance of developing critical thinking is manifested in the fact that a young person will be ready to purposefully choose and apply cognitive methods, safely research, consistently, logically, critically think, analyze and solve problems by drawing reasonable conclusions (Osipovič, 2019). Employers expect specialists who, after graduating from universities, have the ability to make decisions, think analytically, and know how to work in a team. There is a lack of research that reveals the characteristics of sports management students’ critical thinking, so it is necessary to evaluate the possibilities of developing sports management students’ critical thinking, which allows us to say that this topic is relevant in both theoretical and practical aspects. Scientific problem: To what extent does the information visualization technique (argumentation diagram) enable the development of critical thinking of university students? The object of the article is the development of critical thinking of university students. The purpose of the article is to reveal the aspects of critical thinking education of university students, reflecting the experience gained during the study process. Research tasks: 1. To reveal the theoretical justification of critical thinking and its development in the process of university studies. 2. To discuss the opportunities for the development of critical thinking of university students, experiential reflections, assumptions. Research methods. The method of theoretical analysis examines psychological, andragogic, etc. scientific didactic literature, defining and scientifically justifying the concepts and meanings of critical thinking, the conditions, strategies, methods, etc. of critical thinking education. in the process of university studies.