Reviewerly/exHarmony huggingface dataset:
LOAD BALANCING-FAILOVER METHODS USING STATIC ROUTE WITH ADDRESS LIST, ECMP, PCC, AND NTH FOR OPTIMIZING LAN NETWORK : A COMPARISON

Internet network is a means of infrastructure to support the learning and working process. Some internet network problems that often occur are internet connection is lost, the connection is slow, and the output does not match the bandwidth that is owned. This can be accommodated by using 2 (two) internet modem units from different ISP combined with the Load Balancing process. Load Balancing used to combine two internet modems so that one connection can become a backup connection if the main connection is lost. Nowadays Load Balancing has 4 (four) methods, they are Static Router with Address List, ECMP, PCC, and Nth. The problem is choosing the best method for Load Balancing. This research uses the PPDIOO network development method. From the results of tests conducted in this research indicate the balance of internet access and bandwidth performance owned by ISP1 and ISP2 after the Load Balancing process is carried out. From testing 4 (four) Load Balancing methods, the results show that the Nth method produces 79.2% bandwidth by testing for 40 (forty) days. The conclusion is that the Nth method is more effective to be applied on a LAN network compared to other Load Balancing methods because it can divide the internet connection path when browsing, downloading, and can do a failover. Expectations going forward after applying Load Balancing Nth method can improve internet performance that is used every day for learning and working activities in an organization. Keywords: Load Balancing, Failover, Static Route with Address List, ECMP, PCC, Nth.
Selection of object detections using overlap map predictions

Abstract Advances in deep neural networks have led to significant improvement of object detection accuracy. However, object detection in crowded scenarios is a challenging task for neural networks since extremely overlapped objects provide fewer visible cues for a model to learn from. Further complicating the detection of overlapping objects is the fact that most object detectors produce multiple redundant detections for single objects, which are indistinguishable from detections of separate overlapped objects. Most existing works use some variant of non-maximum suppression to prune duplicate candidate bounding boxes based on their confidence scores and the amount of overlap between predicted bounding boxes. These methods are unaware of how much overlap there actually is between the objects in the image, and are therefore inclined to merge detections for highly overlapped objects. In this paper, we propose an overlap aware box selection solution that uses a predicted overlap map to help it decide which highly overlapping bounding boxes are associated with actual overlapping objects and should not be pruned. We show our solution outperforms the state-of-the-art set-NMS bounding box selection algorithm for both the crowdHuman dataset and a sports dataset.
Blended Learning in Elementary Schools

The COVID-19 pandemic has encouraged educators all over the world to integrate technology with their usual teaching methodologies. The physical-distancing policies forced schools in Indonesia to adapt to online learning with the aid of technology. However, with the decline in the number of positive cases, the government of Indonesia has directed schools to adopt blended learning. Blended learning is an integrated form of learning, combining face-to-face learning with the online and remote study. The current study examined the effectiveness, advantages, and disadvantages of blended learning implementation in the elementary schools of Indonesia. Researchers conducted a systematic literature review by documenting and reviewing related articles published between 2018 and 2021and accessed from Google Scholar and Science Direct. Results showed that blended learning was largely effective during the COVID-19 pandemic and is a step forward from the 21st -century standpoint. However, a successful blended learning implementation requires supporting applications and cooperation between teachers, students, and parents.
Implementation of Data Mining on Tourist Visits Patterns on Lombok Island Tourism Objects

Foreign tourists entering Indonesia in 2017 and 2018 have increased. From the data obtained on the website of the Ministry of Tourism (Kemenpar) the number of foreign tourists in 2017 was 14,039,799, while in 2018 there were 15,806.1, with a comparison of the number of tourists from the two years, the percentage increase in tourists was 12.58%. The data analysis approach using a classification model is a data analysis approach by studying the data and making predictions with the new data. in the classification model, there are many algorithms that can be applied in data analysis, one of which is the Decision Tree algorithm. This study aims to analyze the pattern of tourist visits based on the objects visited by the number of tourists visiting certain tourist objects. From the modeling using the Decesion Tree C4.5 Algorithm and the scenario of splitting the data into three parts, the highest accuracy value was obtained for splitting data of 80:20 for train and testing data and max depth 7, which obtained an accuracy of 94% for train data and 92% for data. testing. Modeling with the Boostrap Aggregating Method, the accuracy score obtained on training data is 93% and testing data is 92. percent. 3 accuracy results from using bagging reduce the accuracy of the C4.5 algorithm on the data training side from 94% to 93 percent, while the accuracy of testing data is still the same, namely 92%.
Implementation of the AHP-SMARTER Method in the Decision Support System for Giving Sanctions for Violation of Student Disciplines

Violations of school rules are often carried out by students, including lack of respect for teachers, students who are not on time, often late for class, skipping classes, jumping fences, smoking and not paying attention to the rules and other regulations in school. This study aims to build a decision support system for sanctions for violations of student discipline that has the ability to analyze each of the criteria and sub-criteria that have been determined by the school. In this case, students who violate school rules will be punished and given sanctions so as to provide an output value of priority intensity which results in a system that provides an assessment of violations against students. The method used in building this decision support system is by combining the Analytical Hierarchy Process (AHP) method and the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) method. Weighting criteria using the AHP method and for ranking using the SMARTER method. The system created can be used to assist in processing data on violations of school rules. With this decision support system, it is hoped that policy makers will have no difficulty in determining what types of actions and sanctions will be given to students who violate school rules.
Properties of 2-CNF mutually dual and self-dual T_0 -topologies on a finite set and calculation of T_0-topologies of a certain weight

The problem of counting non-homeomorphic topologies as well as all topologies on an n-elements set is still open. The topologies with the weight k&gt;2n-1, where k is the number of the elements of the topology on an n-elements set, which are called close to the discrete topology have been studied completely. Moreover R.~Stanley in 1971, M.~Kolli in 2007 and in 2014 have been found the number of T0-topologies on an n-elements set with weights k≥7·2n-4, k ≥3·2n-3, and k≥5·2n-4 respectively.&#x0D; In the present paper we investigate T0-topologies using the topology vector, being an ordered set of the nonnegative integers that define the minimal neighborhoods of the elements of the given finite set, and also using the special form of 2-CNF of Boolean function. In 2021 the authors found the form of the vector of T0-topologies with k≥5·2n-4 and the values k∈[5·2n-4, 2n-1], for which there are no T0-topologies with the weight k. The method of describing of T0-topologies using the special form of 2-CNF of Boolean function is used for the identification of the mutually dual and self-dual T0-topologies, and the properties of such 2-CNF Boolean function are used for counting T0-topologies with the weight 25·2n-6.
Internet Digital Economy Development Forecast Based on Artificial Intelligence and SVM-KNN Network Detection

The development and spread of Internet technology have made it easier to find web servers. People can browse various websites to shop or pay for living expenses, which brings great convenience to life, but as a result, Internet security problems continue to appear. This article is based on a detailed theoretical analysis of mainstream algorithms, making an analysis of web logs which is of great significance and practical value. In addition, through reasoning analysis, technical support is provided for improving the weight factor of the KNN (K-nearest neighbor) algorithm, and the literature research method of the SVM-KNN hybrid algorithm and the KNN classifier is proposed. This paper conducts a detailed theoretical analysis based on the mainstream algorithms that are widely used in the current classification technology and integrates the mainstream classification algorithms in real-life applications and popularization, selecting the support vector machine and KNN calculation method. In the digital economy development model, although China has a large number of netizens, obvious late-comer advantages and institutional advantages as a guarantee, due to the constraints of two key factors, capital and technology, a series of social problems have also arisen. During the transformation of the digital economy, prominent digital security issues, high-risk vulnerabilities, and increasing number of cyber-attacks, along with uneven data quality levels and lagging laws and regulations, have brought many challenges and obstacles.
Design and Development E-Mading System For Information Students

This study aims to facilitate the provision of information and reduce the amount of paper use in the Department of Electronics Engineering, Faculty of Engineering, Padang State University. With the large amount of paper used to provide information on conventional e-mading, it causes too much paper to be wasted and not too effective in providing information. With the large amount of paper wasted also causes inefficient time. Because too much information and announcements reported to the Electronics Engineering Department cannot be managed by admin in the Department of Eletronics, Faculty of Engineering, Padang State University. Therefore, for now there is a need for a digital madding to manage information and reduce the amount of paper usage. There are 2 methods used in this study are Data Collection Methods and System Development Methods. This Data Collection Method uses interview and observation techniques, while the System Development Method uses USDP. In this study using the USDP method, where this method can do an object-oriented software development, design and analysis of software design using the UML approach (Unifed Modeling Language)
Decision Support System Scholarship Selection Using Simple Additive Weighting (SAW) Method

Scholarships are given to students to motivate students and compete with each other in pursuit of the best grades and achievements during their studies. As the name implies, factors such as GPA, competition participation, lecturer recommendations, and organizational participation are the criteria that will be considered for the selection process. In addition, parental income will also be an additional criterion. To minimize errors and reduce bias in the selection process, students who are eligible for scholarships will be assisted by using a Decision Support System (DSS). DSS will support decision making in selecting outstanding scholarship recipients from a pool of alternatives, namely students who register for the outstanding scholarship program by calculating student eligibility based on consideration of the criteria that students have in accordance with predetermined criteria. This calculation is carried out using the Simple Additive Weighting (SAW) method which is suitable for use in Multiple Attribute Decision Making (MADM) problems. As a result, each student will get an eligibility score which will influence the final decision. After the ranking of students who are most entitled to a scholarship according to the system calculations are obtained, the final decision will still be taken by the university.
Development of a Village Information System for Acceleration of Village Services in Desa Tegal Kecamatan Kemang Bogor

The Village Information System (SID) is an information system that changes raw data into ready-to-use information. In addition, SID will provide convenience to village officials in providing services to the community. The development of this SID is expected to be able to provide acceleration and improve the performance of village officials in terms of service quality to the community, productivity, responsiveness, responsibility and productivity. The development of a village information system in service activities in Tegal village is a transformation from manual to computerized, so systematic efforts are needed in the preparation involving subjects, objects and methods related to the transformation process. The development of the village information system uses the software development life cycle (SDLC). Efforts to control the quality of the Tegal Village Information System use four characteristics of ISO 9126, to know that the parts in the application system have correctly displayed error messages if an error occurs in inputting data.The result of this service activity is that every Village Apparatus can understand the material that has been submitted and can practice the results of the village administration work in a computerized manner based on the Village Information System.
PSYCHOLOGICAL FEATURES OF COMMUNICATION OF MODERN TEENAGERS IN SOCIAL NETWORKS

The psychological features of communication of modern teenagers in social networks are considered
MEASURES FOR PLANNING A PUBLIC CULTURAL HALL BASED ON A SURVEY OF REQUESTS FROM STAGE TECHNOLOGY COMPANIES

This research aims to clarify for appropriate long-term use in the planning and operation of public cultural halls in the future by clarifying issues and requests for public cultural halls from the perspective of stage technology companies who are familiar with stage equipment. The purpose is to provide guidance for stage technical planning. The requirements for each company’s stage technology planning were shown in 222 items in four stages: planning / design, construction, daily life, and repair / equipment renewal. From this research, we were able to obtain useful knowledge about the stage technology planning.
Enterprise Governance of IT Audit Using DSS &amp; MEA COBIT 2019 (Case Study: Faculty of Engineering UNDIP)

Information technology is required by the Faculty of Engineering UNDIP to support the achievement of faculty goals. This faculty has implemented and relied on information technology for administrative processes, teaching, and learning activities although in performing its business processes since 2004. The problem found was the practices of information technology have been expected by the Faculty of Engineering UNDIP, or not yet. Therefore, research on the governance of IT audit is necessary to know which management objectives are important, the current capability level, comparison of IT governance conditions in 2014, which management objectives have been achieved, and provide some recommendations. This research method uses the COBIT 2019 on two parameters of the DSS and MEA. Based on the results of the research, the current capability level of the Faculty of Engineering according to the DSS and MEA domain of COBIT 2019 is at level 1 (performed) with an average value of 36%. The Faculty of Engineering has decreased level, but the goal has been more or less achieved through the practices of a set of incomplete/disorganized activities.
Music Genre Recommendations Based on Spectrogram Analysis Using Convolutional Neural Network Algorithm with RESNET-50 and VGG-16 Architecture

Recommendations are a very useful tool in many industries. Recommendations provide the best selection of what the user wants and provide satisfaction compared to ordinary searches. In the music industry, recommendations are used to provide songs that have similarities in terms of genre or theme. There are various kinds of genres in the world of music, including pop, classic, reggae and others. With genre, the difference between one song and another can be heard clearly. This genre can be analyzed by spectrogram analysis. In this study, a spectrogram analysis was developed which will be the input feature for the Convolutional Neural Network. CNN will classify and provide song recommendations according to what the user wants. In addition, testing was carried out with two different architectures from CCN, namely VGG-16 and RESNET-50. From the results of the study obtained, the best accuracy results were obtained by the VGG-16 model with 20 epochs with accuracy 60%, compared to the RESNET-50 model with more than 20 epochs. The results of the recommendations generated on the test data obtained a good similarity value for VGG-16 compared to RESNET-50.
Reading Literacy Improves Student's Intelligence

Literacy is the acquiring of specific skills needed to communicate effectively. In the current era of technological progress, the School Literacy Movement (SLM) at the education unit level is intensively carried out. It is hoped that the SLM can stimulate emotional and spiritual intelligence in students to achieve education goals, improve their learning achievement, and become a reference or contribution to solutions and creative innovation in school literacy programs. It is also expected to have a significant impact on scientific studies related to literacy programs for improving student achievement. This study aimed to determine the benefits of reading in improving students’ intelligence. Using a systematic literature review the researchers documented and reviewed all related articles published from 2015 to 2021 on SINTA, DOAJ, and lens.org. The results showed that SLM such as creating reading corners inside classrooms can improve students’ intelligence. The role of both teachers and parents is critical in supporting the SLM. As the school’s spearhead, teachers play an essential role in guiding and familiarizing students with reading. Parents should also monitor children at home so that their learning needs are adequately met. The teacher’s efforts to educate students on reading at school can be followed by parents at home so that maximum results can be achieved.&#x0D; Keywords: reading, literacy, students
Website System Design Using Agile Kanban Based On QR Code

Business developments that occur today cannot be separated from the role of technology and information systems. The system that will be discussed in this journal is a Web-based Restaurant System that uses a QR code. This system will handle at least 5 types of users, namely admin, waiter, chef, cleaning service, and customers where the five kind of users have different access rights. Restaurant information systems using this QR Code can speed up performance in ordering menus, serving ordered dishes, paying bills to customers and cleaning tables after use. The use of the QR code itself is very suitable in the restaurant business and marketing practices because of its advantages, namely being mobile fried and easy to get information. This will improve the quality of the restaurant in terms of service and time. This Web-Based Restaurant Menu Ordering Application is designed using web programming languages, namely PHP. For the database, it will use MySQL and the system development method will use the Agile Kanban method which can help an organization produce software that has been tested and is ready to use. The results of the system design will be in the form of a comparison table for the old and new systems depicted by the PIECES table, then UML for system modeling, and website interface. The system created will help in reducing the amount of paper used for order receipts. In addition, users can also order menus during the COVID-19 pandemic with restaurants that use this system.
Kahoot! App: An Interactive Tool to Enhance the English Participation of Grade 7 Students

This study is aimed at improving the participation of 30 Grade 7 students during the Academic Year 2021-2022 through the Kahoot! App. Kahoot! is a game-based student-response system that focuses on engaging the students in the classroom. Through class observations and interviews, it was found that students were rarely volunteering to answer questions and contribute to the discussion because of the traditional tools used by the teacher. To further validate the researchers’ observations, the respondents were given a pre-survey checklist as well as a post- post-survey checklist. This was to determine their extent of participation before and after the employment of the intervention. Results showed that the mean score of the respondents in their pre-survey was 1.79 or Strongly Disagree, while in their post-survey, it was 4.41 or Strongly Agree which means that there was a mean difference of 2.63. Also, the t-value of -37.51 means that the pre-survey checklist obtained a lower result than the post-survey checklist. This is attributed to the fact that the students favored and preferred Kahoot! App than Google Form. In addition, the p-value of 0.000 is less than the .01 level of significance which further validates that there is a significant difference of the pre-survey and the post-survey. This implies that the intervention of this research proved to improve the participation of the students in English. Thus, the intervention of this study is highly recommended for teachers to use in facilitating assessment activities in online setting because of the its engaging features like colorful backgrounds, pictures, interesting graphics, and immediate feedback, which motivate the students to participate.
ODNOS MALOLJETNIH PRESTUPNIKA PREMA POČINJENOM KRIVIČNOM DJELU

Juvenile delinquency is a serious problem today due to its negative social, emotional, physical and economic consequences that are present in communities in modern society. The study of juvenile delinquency is of particular importance to society because juvenile offenders are increasingly continuing their criminal activities as adults. Through the study of the scope, structure and dynamics of youth delinquency, the success of the implementation of social policy towards young people in general can be monitored. The aim of this paper is to determine the relationship between juvenile offenders, who are on the maintenance of an educational measure of sending to a correctional facility, and criminal offense they committed and the sanction imposed. These data can be important indicators for the creation and implementation of institutional re-education, as well as the process of resocialization. The research also presented data on the number of juvenile offenders in the Republika Srpska who were sentenced to an educational measure of sending them to an educational-correctional home, as well as institutions for the execution of this sanction. The results of the research indicate that the attitude of juvenile offenders towards the committed crime and the imposed sanction is an important indicator for creating an individualized program of re-educational work with juveniles and their resocialization in general. Also, through the answers of juveniles and their attitude towards the crime, we saw an increasingly pronounced criminogenic infection of juvenile offenders, as well as a disturbed value system.