Reviewerly/exHarmony huggingface dataset:
A Conceptual Paper of Managing Information System Resources for Agriculture Productivity

Agriculture is the backbone of food production and a key component of a nation’s economic development. Rapid advancements in information technology (IT) have promised significant potential benefits, particularly for developing countries. Numerous prior studies have documented the success of IT applications in agriculture. However, regardless of its success, the transition has created many problems and challenges for farmers. Thus, this conceptual paper of a future study based on the review of literature explored information technology (IT) in agriculture, Resource Based-View (RBV) theory and Dynamic Capabilities (DC) perspectives. Despite the rapid growth of IT in agriculture, the usage and application of IT in this sector remain inadequate due to several issues in managing the area. Therefore, this conceptual paper suggests a model that could explain how the Information Systems (IS) resources of a local farming business in Malaysia are being managed to achieve agriculture productivity along with the perspective of DC. This paper then went on to examine the subject, concepts, and objectives for the upcoming study using a variety of works of literature from several disciplines. The findings of this prospective study may provide insight into how IT management in agriculture might be improved to fully utilise IT potential to boost agricultural productivity.
Inscript as aftertext

Инскрипт как затекст - Institutional repository of Federal State Autonomous Educational Institution of Higher Professional Education Ural Federal University named after the first President of Russia B.N.Yeltsin
ANALISIS KEMAMPUAN PEMAHAMAN KONSEP MATEMATIS SISWA YANG MENGGUNAKAN MODEL PEMBELAJARAN CORE

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Implementation of PSO Algorithm for Detection and Removal of XSS Attack

In recent years, managing the security over the web has gained its importance. Use of appropriate security handling techniques help to solve controversies and to extract interesting scenarios based on the content of the web page. Many varieties of vulnerabilities prevail and Cross-Site Scripting (XSS) vulnerability is ranked among the top ten risks found over the web which is a mandatory issue that requires a solution. XSS vulnerability injects malicious code in many ways that rise during the browsing session. Analysis should be made over the web page to identify whether the page is vulnerable or not. A dataset is formulated that contains malicious and benign data. Malicious data are obtained from the XSS archive [source: www.xssed.com] which contains the vulnerable XSS web pages and benign data are the web pages that are obtained through queries from the Google search engine. The major constraint is the number of Lines of Code (LOC) present in the web page. Five samples from the dataset were considered and algorithms are applied. About 24 attributes are used by the classifier. The samples vary in terms of content and size. Different optimization techniques are applied and the results are analyzed. Evaluation measures like Detection Rate (DR), False Detection Rate (FDR) and F Score (FS) are calculated based on the Confusion Matrix. The final content obtained after the „XSS Handler phase? that is to be displayed on the browser is tested using black box testing technique and also using XSS and SQL Injection Scanner tool. The tool is capable of identifying promising XSS code available in web pages. Based on the experiments, it was observed that the generation of paths using PPACO achieves better results in terms of DR, FDR and FS than other algorithms.
Analysis system for solving a dissection puzzle using ArUco markers

In recent years, toys such as games and puzzles have been attempted to use in enjoyable and/or sustainable rehabilitation. The study focuses on a dissection puzzle, which requires spatial cognition and coordinated movements. In the dissection puzzle, the silhouette shape of the whole blocks is shown as a problem, and the player solves the problem combining small piece of blocks to fill in this shape. However, the training effect of the dissection puzzle in rehabilitation is still unclear. So far, few studies have analyzed the puzzle solving procedure in detail. In this study, we have adopted the dissection puzzle using Tetromino (Tetris block). Tetromino has a simple shape, but difficulty of the problem can be easily arranged. We have developed a system that automatically records and analyzes the solving operation of the dissection puzzle. To measure the movement of the Tetromino, we use ArUco Markers, which can measure 6 degrees of freedom data. The video stream is acquired by a CCD camera, then ArUco markers are detected, and their movements are analyzed in detail. We conducted a basic experiment with the developed system and confirmed the measurement performance.
Module of Inclusive Education as the Key Component of Training Content for School Leaders

The article is devoted to modern challenges of inclusive education and readiness to solve them by the leaders of educational organizations. The relevance of the theory and practice of inclusive education is considered in the context of its connection with the modern understanding of the education and the importance of inclusion as a key component of the role of education in society. The factors necessary for the implementation of inclusion by school leaders in the educational institution are substantiated. The issue of reflection of the requirements for inclusive education in the structure and content of the continuous development of leaders in the field of education is investigated. The conclusion is made about the need for significant changes in the programs of in-service training of pedagogical staff, aimed at fundamentally changing the quality of the educational environment, in which differences between students are perceived as the potential for their development, and inclusion is a means of promoting academic, practical, social and emotional learning for all students.
Hierarchical and K-means methods for analyzing the Indonesian welfare indicator in the year 2020

The main goal in the development of a country is to improve the welfare of the people. One of the causes of people's welfare problems is that the development carried out by the government is not carried out properly. The solution that can overcome this problem is by identifying what indicators that can affect the level of people's welfare. In this research, we investigate the effect of indicators of Life Expectancy, Average Length of Schooling, Percentage of Poor Population, and Open Unemployment Rate on the level of welfare in Indonesia using cluster analysis. Cluster analysis is a technique of grouping objects based on similar characteristics that they have. The methods proposed in this research are hierarchical cluster method which is Average Linkage and non-hierarchical method which is K-Means. From the results of the analysis, it was found that 2 clusters were formed for each method. There were 4 provinces included in cluster 1 and 30 provinces included in cluster 2 using the Average Linkage method. As for the K-Means method, 12 provinces are included in cluster 1 and 22 provinces are included in cluster 2. Based on the average of each indicator of people's welfare, we conclude that cluster 1 is a low cluster and cluster 2 is a high cluster for the Average Linkage method and K-Means method.
SOME ASPECTS OF DIGITALIZATION IN THE METHODOLOGICAL AND MATHEMATICAL TRAINING OF FUTURE PRIMARY SCHOOL TEACHERS

The relevance. The need for distance learning during the pandemic and mixed learning has now led to an accelerated study of using various digital resources. Digital transformation has become a part of the educational process. This is evidenced by such documents as Decree of the President of the Russian Federation of July 21, 2020 No. 474 "On the National Development Goals of the Russian Federation for the period up to 2030", which lists the achievement of "digital maturity" of key sectors of the economy and the social sphere as one of the target indicators of the national goal of "digital transformation". As well as by the "Strategy for the Digital Transformation of Science and Higher Education" and the "Passport of the Strategy of "Digital Transformation of Education", published on the websites of the Ministry of Education and Science and the Ministry of Education of the Russian Federation. Mathematical training of future primary school teachers, as well as comprehensive training, is becoming one of the most important tasks of education. The problem of the research is to identify the most effective digital resources and methods of their application in the context of blended teaching Mathematics to future primary school teachers. The purpose of the article is to reflect some aspects that one has to face in the real educational process during the mathematical training of future primary school teachers in the context of the digital transformation of education. The research methods used are analysis of sources and literature on the research topic, observation, generalization of the experience of using digital resources in educational activities The research results and conclusions are as follows, the authors have analyzed and summarized regulatory documents; the use of digital resources in teaching mathematics has been investigated; an option of the use of digital resources presented. The study has showed the need to develop teaching aids on the use of digital resources in the process of mathematical and methodological training of future primary school teachers.
Learning Representations for Masked Facial Recovery

The pandemic of these very recent years has led to a dramatic increase in people wearing protective masks in public venues. This poses obvious challenges to the pervasive use of face recognition technology that now is suffering a decline in performance. One way to address the problem is to revert to face recovery methods as a preprocessing step. Current approaches to face reconstruction and manipulation leverage the ability to model the face manifold, but tend to be generic. We introduce a method that is specific for the recovery of the face image from an image of the same individual wearing a mask. We do so by designing a specialized GAN inversion method, based on an appropriate set of losses for learning an unmasking encoder. With extensive experiments, we show that the approach is effective at unmasking face images. In addition, we also show that the identity information is preserved sufficiently well to improve face verification performance based on several face recognition benchmark datasets.
SISTEM INFORMASI PENDISTRIBUSIAN BANTUAN BENIH UNGGUL DAN ALAT MESIN PERTANIAN KEPADA KELOMPOK TANI DI DINAS PERTANIAN KABUPATEN SERANG

The Agriculture Department of Serang Regency designed a program of agricultural equipment assistance and direct assistance of superior seeds to overcome the problem of food security. However, data on farmer groups is not yet available accurately because so far the existing system has not provided a database-based program application. This causes problems, namely difficulties in the process of making reports to collect data and search for farmer group data. Delays in making reports often occur, and the distribution has not been right on target. To overcome and solve these problems, the researcher aims to develop an Information System for the Distribution of Superior Seeds and Agricultural Machine Tools to the Farmers Group at the Serang Regency Agriculture Service. Data collection techniques were carried out by field studies and literature studies. The field study uses observation and interviews. Literature study is carried out by reviewing various previous research articles that are in accordance with the research topic. In addition, this is also done by searching for documents, procedures and studying books and other written sources from libraries and other written literature related to research. With this information system, data creation on seed needs and requests for agricultural machinery can be done easily and quickly, reporting systems can be created at any time when reports are needed. In addition, data search can be done easily. Data redundancy or duplication can be minimized and the required reports can be printed immediately.
EXPRESSIONS OF DISAGREEMENT IN THE INFO CEGATAN JOGJA FACEBOOK GROUP

Disagreement is a difference of opinion expressed differently based on the media used. Based on this phenomenon, it is interesting to define an expression of disagreement and the types of discourse that trigger it on Facebook, which tends to be accessible and not distant. Analyzing these two things is interesting and important as something new in pragmatic studies. This study aims to define the expression of disagreement and describe the types of messages that get a lot of disagreement responses in the ICJ Facebook group. The current research utilized a qualitative approach with a descriptive method. The data in this study are messages and comments that contain disagreement in the ICJ Facebook group. Data collection was carried out using documentation, observation, and note-taking techniques. The data analysis technique utilizes semantic and pragmatic perspectives. The results showed that the expression of disagreement could be defined as a negative expression expressed verbally as a reaction when the speaker opposes or denies the opponent's proposition or vice versa in a communication context. Posts or messages that get a lot of disagreement responses have the following characteristics, 1) the topics discussed relate to the disclosure of social problems from a personal point of view, 2) aim to assess social phenomena or as social criticism, 3) type of expressive and persuasive discourse.
STTI – CHGSR: Continuous hand gesture segmentation and recognition based on spatial-temporal and trajectory information

Verbal language is broken up into various categories; there are also different types of nonverbal communication. Human Computer Interaction (HCI) provides more intuitive way of interacting with computer and has long been an important and popular research field. The variations in gesture duration and unknown start and end points are the key issues in identifying uninterrupted gestures thus lowering the performing of conventional identification algorithms. In this paper, we first present a survey on issues and limitations of hand gesture recognition. Later, we propose a framework for ‘Continuous Hand Gesture Segmentation and Recognition (CHGSR) based on Spatial-Temporal and Trajectory Information (STTI). The framework utilizes cognitive Deep Learning Networks and outperforms in recognizing continuous hand gestures. We utilized TensorFlow and Keras Deep Learning Libraries for implementing our Deep Learning Network. Three different persons in different session for evaluation of framework videos recorded by using Microsoft Kinect V2 sensor. In presence of continuous gestures and different gesticulation behaviors, the investigational results signify that the intended framework has a high acknowledgment accuracy and F-score of up to 0.98.
Diagnostic Prediction for Cervical Spondylotic Myelopathy Based on Multi-source Data in Electronic Medical Records

For a long time, cervical spondylotic myelopathy has a high incidence in middle-aged and elderly people. In reality, the diagnosis of cervical spondylotic myelopathy by spine surgeons is a comprehensive process of aggregating information from multiple clinical data sources, which requires a comprehensive consideration based on the multi-source data. This process requires extensive experience and years of study by spine surgeons. The artificial intelligence method proposed in this work can greatly speed up this learning process. The proposed method comprehensively analyzes multi-source data in the patients’ electronic medical records, and provides diagnostic predictions to assist spine surgeons in efficient diagnosis. More importantly, the impact of different data sources on the diagnostic results is analyzed in depth.
The Implementation of School Literacy Movement in the Perspective of Mortimer Adler and Charles Van Doren

This study aims to describe the implementation of the SLM in MTsN 2 Kediri City , the benefits of applying SLM, the constraints faced , and to analyze the implementation of the SLM with reading theory from Mortimer Adler and Charles Van Doren. The research method used was qualitative with the type of case study research. The subjects of this study were the school principal, deputy school principal in the curriculum, Indonesian Language teachers, and students. Data obtained through in- depth interviews, observation, and documentation. Next data were analyzed using the Miles and Huberman model which included the stages of selecting data, presenting data, and drawing conclusions. To check the validity of the data, researchers extended the observation and triangulation of sources and data collection techniques. The results of this study are: 1) The SLM in MtsN 2 Kediri City is implemented through reading corner activities; Wall magazine; environmental conditioning that is full of motivational sentences; habit of reading the Qur'an; as well as assignments on Indonesian Language subjects, the form of assignments such as: summarizing some types of books such as old novels, biographies, fantasy stories and popular knowledge; 2) The benefits of implementing this program are students being diligent in reading, trained in composing sentences, getting to know the types of books, and increasing their knowledge; 3) The constraints faced this program are the lack of available reading material in the library; students have difficulty in getting the type of books required; and difficulties in summarizing thick books; and 4) The implementation of SLM in MTsN 2 Kediri City is categorized in the third level of reading theory of Mortimer Adler and Charles Van Doren. It can be seen from the type of task assigned for participants learners to review book until the analysis, it is to display the advantages as well as the shortage of books read.
Rute Terpendek Penyebaran Brosur dan Pemasaran Bimbel Himalaya dengan Nearest Neighbour Algorithm

Bimbel Himalaya as one of the tutoring in Mojokerto City which has the potential as a place for teaching and learning activities between students and Tentor. In the city of Mojokerto there are many schools of all levels, namely Elementary Schools, Junior High Schools, and Senior High Schools. This research is limited to high school level. The design of this study to find travel routes in the distribution of brochures is very necessary in order to obtain the effectiveness of the minimum distance. In this connection, graph theory as a branch of mathematics is used to complete the design using the nearest neighbor algorithm method. The location of the Himalayan tutor is represented by a point and a connecting road between two locations is represented by a directed line. This study used a route model for Himalayan tutoring staff and 15 high schools in Mojokerto with a minimum distance.
Systematic Literature Review: Permasalahan Ransomware pada Aplikasi Berbasis Cloud

Ransomware has created questions on the security aspects of a cloud architcture, especially with cloud services being adopted by more enterprises. Ransomware encrypts data and makes it inaccessible. Victims are given instructions to pay the attacker a fee in exchange for having their data accessible again. Ransomware has organizations and is increasingly targeting applications running on databases. To prevent this problem, this study uses the Systematic Literature Review method to provide information about ransomware problems in cloud-based applications, as well as ransomware prevention in cloud-based applications and its challenges including the differences in effectiveness for each type of ransomware and the strategies that do not apply to server-side attacks. The research review shows that backup and recovery is a key defense strategy against ransomware. Ransomware protection, applications, and databases require the right strategy, including reliable recovery. This research is useful to ensure that the cloud-based is protected from ransomware attacks.
Penggunaan Metode Extreme Programming Pada Perancangan Sistem Informasi Pelayanan Publik

Sodong Tigaraksa Village with the Golden Village idea is in dire need of applications that support and provide satisfactory public services for its citizens, applications to help gather data, manage data and provide information easily and quickly. citizen data collection, to storing other data, to making reports, making it possible during the process there were errors in recording, inaccurate reports made and delays in finding the required data. For this reason, this study aims to create a web-based application using the Extreme Programming (XP) method which is useful for Sodong Village to facilitate data processing in public services and a database design tool in the form of ERD (Entity Relationship Diagram). In software development there are several approaches or methods used, the programming language used is PHP and the database used in the construction of the system is MySQL in this study the method used is Extreme Programming (XP) to build a public service information system, the design of this information system using the extreme programming (XP) method is the best solution to solve the problems that exist in this Sodong Village public service.
Challenges in Teaching English Majoring Spa Therapist at Berlian Salon and Spa

This study was conducted to ascertain the challenges encountered by English teachers in Berlian Salon and Spa. One of the job training institutions in Central Lombok is Berlian Salon and Spa where this institution has been established since 2016 until now. This institution has several majors, including hospitality and spa therapist, which are currently the most popular majors. The institution always gets grants from the government to train underprivileged people to become entrepreneurs in the field of spa therapists. There are numerous challenges in learning English in Institution. The difficulties encountered were related to the status of the curriculum for English learning in institution, the students’ competency, and the students’ motivation regarding to the socioeconomic status of students and the family. Case study designs was chosen to help academics investigate, explain, characterize, assess, and speculate about complicated situations in context by answering a variety of questions about why, what, and how they happen. In -depth understanding of behaviors, processes, practices, and relationships in context can be gained through outcomes. Observation and interview were the instruments used by the researcher to collect the data.
SPATIAL ANALYSIS OF HYDROMETEOROLOGICAL VULNERABILITY OF NATURAL DISASTERS IN THE BOGOR REGION

Bogor Regency has a fairly large potential for natural disasters in the province of West Java, particularly hydrometeorological natural disasters, floods, and landslides. According to the Bogor Regency BPBD, there are 15 sub-districts with high potential for natural disasters. If we look at the level of damage, natural disasters, floods, and landslides have a very high level of loss due to the lack of information obtained by the community on the possibility of disasters occurring nearby. To avoid disaster losses, disaster risk management measures are needed. One way to manage disaster risk is to perform spatial data analysis in the form of maps of areas potentially prone to flooding and landslides based on the parameters that cause flooding and landslides. The method used in this study is Weighted Scoring and the analysis of disaster risk data is done spatially using a geographic information system (GIS) with the help of ArcGIS Software. This study aims to analyze and map the potential distribution of vulnerability to runoff and landslides in the district of Bogor. The results of the analysis are maps of areas prone to runoff and landslides in the regency of Bogor which can be used as a reference for mitigating natural disasters as well as for recommendations in regional land use planning.