Reviewerly/exHarmony huggingface dataset:
School-Based Management for Education Quality: Evidence from Procurement of Facility and Infrastructure

The purpose of this study was to examine the implementation of school-based management in the acquisition of facilities and infrastructure targeted at enhancing educational quality. This study employs a qualitative research method as the design. This study took place at a senior high school in East Jakarta as the research setting. Data were collected from observation and Focused Group Discussion (FGD). Furthermore, the obtained data were analysed using Miles Huberman qualitative analysis procedures. The reported result has been quite successful. It is shown by the performance is carried out in the procurement of school facilities and infrastructure which is applied in the school budget planning stage, school financial accounting, and implements accountability school finances. This application will lead to public trust in schools so that education based on mutual trust will improve the quality of education.
APLIKASI METODE FUZZY CLUSTERING MEANS UNTUK DATA TRENDING KASUS VAKSIN CORONA PADA JEJARING SOSIAL TWITTER

Prevention of the spread of the 2019 corona virus disease by vaccination has become a controversy in a long conversation on Twitter social media. One way to classify these conversations is to use fuzzy clustering means. Fuzzy clustering means is used to group data into several classes with a high degree of similarity, therefore in the study entitled "the application of the fuzzy clustering means method for trending data on corona vaccine cases on the Twitter social network" aims to apply fuzzy clustering means and determine the trending topic of vaccine cases corona. The data is taken and processed using the r studio program with documentation techniques. In the process of implementing the fuzzy clustering means, it was successfully applied by obtaining the optimal value for the validity of the fuzzy silhouette index x 0.520397533360261 and being able to classify the data in two clusters and display the words vaccine, covid and vaccination as the most talked about words in the case of corona virus disease 2019 on twitter.
Hubungan Kadar Hemoglobin Sebelum Operasi dengan Kebutuhan Transfusi Sel Darah Merah Intra Operasi pada Pasien Bedah Pintas Arteri Koroner di RSUD Abdul Wahab Sjahranie Samarinda

Coronary Artery Bypass Graft (CABG) is a surgical procedure used to create bypass around the blocked coronary artery). Packed Red Cell (PRC) is required during CABG to balance hemoglobin level and the amount of red blood cell tranfused is basically estimated by observing preoperative hemoglobin level. Based on these reasons, the researcher aims to find the correlation between preoperative hemoglobin level and intraoperative red blood cell transfusion. The observational analytical design using cross sectional method was applied. The purposive non-probability sampling was used to select the research samples. Thirty-five samples fulfilling the inclusive and exclusive criteria were obtained. The findings revealed that patients’ preoperative hemoglobin level was normally transfused with 0 – 249 cc red blood cell for 18 intraoperative patients (51.4%). Patients’ preoperative hemoglobin level normally transfused with 250 – 500 cc red blood cell was only five patients (14.3%). The abnormally preoperative hemoglobin level transfused with 250 – 500 cc red blood cell was for 10 intraoperative patients (28.6%), whereas the abnormally preopreative hemoglobin level transfused with 0 – 249 cc red blood cell was only two patients (5.7%). It can be concluded that there is a correlation between preoperative hemoglobin level and intraoperative red blood cell transfusion with p value = 0.000 (p &lt;0,05).
Peningkatan Motivasi Belajar Siswa melalui Model Pembelajaran Picture And Picture pada Materi Muatan IPS Di Sekolah Dasar

Low learning motivation of student at elementary schools becomes a problem for students as well as teacher. Low motivation will affect the students’ achievement. This also will make teachers difficult to meet the learning aims. This problem needs solution. Teachers need to use contain models of teaching and learning activities in order to improve the students’ motivation. One of model used by the writer is picture and picture model. Picture and picture model of teaching and learning is model in which teacher use pictures as the main component. Briefly, students should arrange the picture. Chronologically in order that they become a story. Students do this activity in groups. Using the picture and picture model of teaching and learning result in the higher motivation of students in learning. In addition, the teaching learning activity become more interesting to students.
SPECIFIC CHARACTERISTICS OF SOCIAL AND PHILOSOPHICAL KNOWLEDGE IN IMPROVING YOUTH DEVELOPMENT

The main content of the article focuses on the importance of philosophical knowledge in everyday life, the development of intellectual abilities in the person, reflecting its role in personal development, raising the consciousness and thinking of young people. and society. At the same time, the human factor, self-awareness, a valuable approach to life, independent thinking of young people, the philosophical aspects of their outlook on life are emphasized.
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging (Erratum)

The <i>Journal of Biomedical Optics</i> (JBO) is a Gold Open Access journal that publishes peer-reviewed papers on the use of novel optical systems and techniques for improved health care and biomedical research.
Quantum Decoherence Technique for Two Two-level Interacting Atomic Engineering in Dissipative Field

In order to improve the in-depth understanding and research on the dissipative field of atomic engineering, the research object of this paper is the dissipative field of atomic engineering. Through the engineering of two two-level interacting atoms as the background, an in-depth study of two two-level atoms is carried out, so the decoherence factor of two two-level atoms is obtained. In this paper, the numerical simulation calculation experiment of the dissipative field of atomic engineering is carried out, and the evolution of the quantum coherent oscillation of the dissipative field to the quantum decoherence is discussed. The results indicate that the dissipation coefficient and strength of the atom-light field interaction not only affect the oscillation of the quantum coherent evolution of atomic states but also the periodicity of the evolution. All preliminary results throw light on the nature of two-level interacting atoms in the dissipative field of atomic engineering, which also provides a reference value for related researchers.
Clustering Kebutuhan Makanan untuk Meminimasi Standar Deviasi Angka Kebutuhan Gizi Menggunakan Algoritma K-Means dan K-Medoids

To prevent nutritional problems is balanced nutrition education, which consists of the four principles of a varied diet, a clean lifestyle, physical activity and regular weight monitoring. The diversity of food at each meal is visualized as the contents of my plate which consists of one third of staple foods, one third of side dishes, and one third of vegetables and fruit. In determining balanced nutrition, the principle of Fill My Plate is used, which consists of staple foods, side dishes, vegetables and fruit. This study aims to group or cluster the Indonesian Food Ingredients Table in 2017 using the k-means and k-medoids algorithms. Data from food types that have been summarized at TKPI in 2017 are divided into 4 appropriate categories, namely fruit food clustering (Klanpenres_0), staple food clustering (Klanpenres_1), side dishes clustering (Klanpenres_2), vegetable clustering (Klanpenres_3). In the results of this study the results of clustering using the k-means algorithm that there are 109 for (Klanpenres_0), 323 for (Klanpenres_1), 166 for (Klanpenres_2), 105 for (Klanpenres_3). While the results of clustering using the k-medoids algorithm are 107 for (Klanpenres_0), 325 for (Klanpenres_1), 166 for (Klanpenres_2), 107 for (Klanpenres_3). Meanwhile, for the standard deviation results from clustering using the k-means algorithm, there are 3 categories that exceed the recommended standard for the 40 percent Nutritional Adequacy Ratio, and 1 category that is less than the standard. And the results of the standard deviation of clustering using the k-medoids algorithm, there are 4 categories that are superior to the recommended standard for the Nutrition Adequacy Rate.
Modeling and Forecasting of Rainfall Trends based on Historical Data in Bungoma County, Western Kenya using Holt Winters Method

Rainfall is termed as a meteorological phenomenon which is very useful for daily human activities. Most of the population depend on it for domestic purpose and agriculture, hence it is vital for farmers to know rainfall trends and patterns prevailing in their locality. In Kenya, rainfall variability has caused hunger to many people. In agriculture section, water problem is the most critical constraint in food productions. Extreme weather conditions which is occasioned by climatic change and weather variability makes a small scale farmer in Bungoma to face very high risks of reduced productivity. Scarcity of water is a severe environmental constraint to plant productivity hence drought causes loss in crop yield. Majority of the population in Bungoma do depend on agriculture either directly or indirectly therefore analysis of rainfall data for long periods will provide a lot of information about rainfall variability and this will help to better the agricultural activities of Bungoma farmers. The main aim of the study was to model rainfall patterns and hence predict the future rainfall trends in Bungoma region using Holt winters method in the context of the time series. This is because time series analysis plays an important role in modelling, predicting and forecasting meteorological data such as humidity, temperature, rainfall and other environmental variable. Therefore, data for Bungoma monthly and yearly rainfall patterns for the period 1988-2021 was obtained from the Kenya meteorological department. Collected data was analyzed using Holt winters method by R software. Rainfall data was found to be seasonal implying that most of the rainfall occurred in a specific period each year. Forecasted rainfall had increasing and decreasing prediction intervals and this implied that rainfall could either start decreasing or increasing. The data was found to be non-stationary due to presence of seasonality and rainfall trends. Findings of the study will make it possible to facilitate planning and management of water for both domestic and agricultural use in Bungoma region.
EVALUATION OF THE SCIENTIFIC ACTIVITY OF THE UNIVERSITY DEPARTMENTS BASED ON THE RATING OF THE TEACHING STAFF

The scientific activity of universities is one of the most important elements of the educational environment of an educational organization, aimed primarily at providing high-quality graduate training that meets modern requirements for ensuring the fulfillment of strategic tasks of state development.&#x0D; The purpose of this study was to develop a methodology for evaluating the research work of the university department that meets the general theoretical methods of its organization.&#x0D; Given the structure of most universities, which is based on institutes (faculties) and departments, it is quite difficult to carry out an objective assessment of the research work of the department, since the teaching staff of the department implements tasks for teaching students in disciplines that are not directly related to the name and scientific direction of the department. The Institute of Cathedral scientific schools also does not reflect an objective assessment of the activities of the entire teaching staff, and is, as a rule, formal in nature. Based on this, the research work of the teaching staff of the departments is evaluated within the framework of a general rating assessment, which has a number of significant drawbacks, both from the point of view of objectivity and the methodology of its construction.
Implementation of Repetition and Chain Drill at Akademi Maritim Nusantara Cilacap

The act of communicating using English is still an obstacle for students, especially for countries that make English as a foreign language. English conversation must be mastered fluently by students of Akademi Maritim Nusantara Cilacap, especially the Nautical Sciences Study Program. This becomes an obligation because as seafarers, graduates will definitely have to deal with many people from other countries. Learning English conversation by imitation is seen as still relevant when viewed from the position of English as a foreign language in Indonesia. This study aims to see the impact of applying repetition and chain drill methods in learning Maritime English at the Akademi Maritim Nusantara Cilacap. The Repetition and Chain Drill methods are part of a language teaching method called the Audio-Lingual Method. Both methods are implemented in one Nautical Science class which contains 33 students. With the help of 33 Nautical program students, the research was done utilizing the Classroom Action Research approach. Three study steps yielded the necessary data. Researchers assess each student’s fluency and pronunciation in various ways. The results showed that there was an increase in the average value between stages. It also proves that learning with repetition and chain drill methods helps students start English conversation.
NEW TRENDS IN THE MATHEMATICAL EDUCATION

The explosion of technology over the past two decades has not left the education sector behind. Computers and the internet have changed how students can not only access information but even classes themselves. The growth of technological capabilities means that a variety of media and learning-support tools now exist to help students receive a high-quality education through the Internet. This trend presents a number of benefits and drawbacks for teachers and institutions who want to continue to offer their students the rigorous education. In this paper we will consider the new trends in the mathematical education, with emphasis on the teaching supported by the use of digital technology.
Pelatihan Literasi Digital Untuk Mahasiswa di Era Pandemi COVID-19

In the era of the Covid-19 pandemic, the world of education has entered the digital era, where the learning process no longer runs face-to-face in the classroom but has taken place on the internet network (online) that utilizes advances in information technology. Students are required to be able to keep up with technological developments so that they have basic knowledge about digital literacy which is used to operate various forms of online learning platform media such as Zoom, Zoom Meeting, Google Classroom, WhatsApp, and e-mail. The purpose of the training activity is to provide digital literacy skills to students so that they can access information technology-based information sources. The method of conducting the training is online using the Zoom Meeting, WhatsApp, and Gmail.com email applications. The results of the training activities show that after participating in digital literacy training activities, students' abilities can increase, especially in terms of utilizing the Zoom Meeting application, and searching for literature through Google Scholar, Mendeley.com, and other search engines. A high level of digital literacy can indirectly affect student learning outcomes. So good digital literacy skills are needed so that the use of information and communication technology in the implementation of online learning can run according to the specified goals. Digital literacy skills play an important role in supporting the success of online learning and the success of student studies.
Perancangan Game Virtual Pet “My Lonely Tofu”

The game "My Lonely Tofu" is a mini-game combined with a Virtual Pet game. This is a PC-based, offline and single player game. In this game, there are 5 mini-games, which are Tofu Quiz, Tap Tofu, Sad Tofu, Tofu Think Alike and Spot Tofu. The goal of this game is to evolve the virtual pet, Lonely Tofu, by taking care of it. Alpha testing is tested by the supervisor while beta testing is tested by 46 respondents. The results of beta testing show that “My Lonely Tofu” is an enjoyable game suitable for all ages, all 5 minigames have different difficulties, the easiest is Tap Tofu and Tofu Quiz is the hardest.
A FORMULA FOR THE APPROXIMATION OF FUNCTIONS BY SINGLE HIDDEN LAYER NEURAL NETWORKS WITH WEIGHTS FROM TWO STRAIGHT LINES

In this paper we consider approximation of a continuous function by single hidden layer neural networks with an arbitrary nonpolynomial activation function and with weights varying on two fixed straight lines.We obtain a formula for the approximation error.
Authentication By Grid Image Pattern

Abstract: This paper tries to point out flashy topics in an authentication system that works by having the user select from images, in a specific pattern (order), presented in a Graphical User Interface (GUI). So that the graphical password approach is called Graphical Image Authentication (GIA). The most common authentication method is to use alpha-numerical passwords. For example user tends to choose passwords that can be easily guessed on the other hand, if a password is difficult to guess then it is often difficult to remember. To overcome this problem of low security, Authentication methods change from images to passwords. Because humans can remember visuals (patterns) better than text, graphical password schemes have been offered as a feasible replacement to text-based systems. Visual patterns, rather than specific images, are easier to remember.Patterns are general easier to remembered or recognized than text. This early study implies that many graphics in graphical password systems may support memorability. Keywords: Authentication, Pattern based authentication, Click points, Grid images, Graphical passwords
Mapping of Landslide Potential Zone with Frequency Ratio Method and Mitigation Efforts in Banjarnegara Regency, Central Java, Indonesia

Indonesia is a country with a very high potential for disaster. This is supported by the existence of Indonesia which is surrounded by three world plates, namely the Eurasian plate, the Indian-Australian plate and the Pacific plate. One of natural disaster which occur in Indonesia is landslide. This situation has similarities with the research area located in the Banjarnegara Regency, Central Java. Aim of this research is to provide information on the level of influence of the class and conditioning factors of landslides, and a picture of areas that have vulnerability to landslides and as an effort to provide information to related parties. This research was conducted by geological mapping and remote sensing using DEM (Digital Elevation Model) and landsat-8 as field support data and visualization of the condition of the research area. The results of this study found that the results of mapping with frequency ratio method, the percentage of low insecurity is 66.83%, moderate insecurity is 17.94%, high insecurity is 1.87%, and very high insecurity is 0.02%. Areas with very high land movement potential are in karangkobar and pandanarum districts with a total area of 0.094589 km². The area has a very high potential because it has litology with volcanic rock types, very low vegetation and the presence of straightness. Therefore, various mitigations are needed both structural and non-structural.
TradeMarker: Artificial Intelligence Based Trademarks Similarity Search Engine

Abstract: A trademark is a mark used by a company or a private human for the purpose of marking products or services that they manufacture or trade in. A restriction on the use of the trademark is necessary to enable sellers and manufacturers to build a reputation for themselves, to differentiate themselves from their competitors and thereby promote their businesses. In addition, the restriction also serves consumers and prevents their misuse by a name similar to another product. This restriction is done through the formal examination and approval of the trademarks. This process entails trademark examination against other approved trademarks which is currently a long manual process performed by experienced examiners. Current state-of-the-art trademark similarity search systems attempt to provide a single metric to quantify trademark similarities to a given mark [6, 7, 8, 9, 10, 11]. In this work we introduce a new way to carry out this process, by simultaneously conducting several independent searches on different similarity aspects - Automated content similarity, Image/pixel similarity, Text similarity, and Manual content similarity. This separation enables us to benefit from the advantages of each aspect, as opposed to combining them into one similarity aspect and diminishing the significance of each one of them Keywords: CNN, OCR, Image processing, Numpy, Scipy, Spyder
AN EFFICIENT HIERARCHICAL IMAGE RETRIEVAL METHOD FOR LARGE SET OF IMAGES USING LEARNING-BASED GLOBAL AND LOCAL IMAGE FEATURES

Abstract. Image retrieval is one of the supporting technologies for (near) real-time photogrammetry and loop closure detection in visual SLAM, the conventional retrieval strategy is to firstly obtain the image features of the query image and database images, and search for the resulted images based on nearest features retrieval. However, the image retrieval method based on traditional hand-crafted features (SIFT, SURF, GIST) are hard to guarantee both the efficiency of time and precision in practical applications. Nowadays, learning-based features have shown superior performance in ample computer vision tasks. Thus, this paper investigates several popular learning-based global features (ResNet101, VGG16+NetVLAD, Yolov3+VGG16+NetVLAD) and local features (SuperPoint), to take care of both time efficiency and precision, we present hierarchical image retrieval solutions that combines these two kinds of features, in which global feature is for accelerating searching speed and local feature is for precision. Specifically, three sets of hierarchical retrieval solutions are designed by various combinations of learning-based global feature and local feature. Their precision and time efficiency are compared on different public benchmarks (one contains more than 10,000 images), the experimental results show that among the proposed solutions, VGG16+NetVLAD+SuperPoint has the best performance in efficiency, but the precision is slightly lower than the solution preprocessed with Yolov3.
Optimalisasi Potensi Siswa SMA Saribuana Makassar dalam Menggunakan Microsoft Office

This training aims to provide a technical understanding of Microsoft Office for students of SMA Saribuana Makassar. In addition, to optimize the role of the Saribuana Makassar High School teacher in providing Microsoft Office training for students. The results of the training are expected to contribute to the development of skills for students of SMA Saribuana Makassar in accessing important information regarding the operation of Microsoft Office as one of the requirements in adapting to the world of the Industrial Revolution 4.0. Learning Microsoft Office is a medium in bridging the graduates of SMA Saribuana Makassar in accessing the world of work that is ready to be used by companies, government agencies, and other social institutions that require high school graduates who are ready to adapt to information technology.