Reviewerly/exHarmony huggingface dataset:
Dungeon Code: Educational Game For Algorithm and Data Structure Courses by Applying The Game Development Life Cycle Method

Algorithm and Data Structure is a basic course in Informatics Study Program, at Khairun University. This subject needs to be mastered because it becomes the foundation that can support the learning process in the future. However, from the results of a survey conducted, as many as 40% of students felt bored with the teaching methods used by Algorithm and Data Structure lecturers in class. In addition, there were also 73.33% of students that even though they paid attention to the material presented in class, they still found it difficult to understand the material. To overcome this problem, new learning media is needed in the classroom, such as games. This study aims to design educational games that teach algorithms and data structures using the Game Development Life Cycle (GDLC) method. The GDLC is a game development method that is widely used to create educational games. The GDLC method has several development stages, namely initiation, pre-production, production, testing, beta, and release. Alpha test results show that all functionality is appropriate. While the results of beta testing show the number 3.43 of the total respondents' answers to the questionnaire related to game evaluation so they are included in the very good criteria.
Analyzing Knowledge Networks in Health Care through Collaborative Research Exploration

The exploration of collaborative research in healthcare is a dynamic and multifaceted endeavor, as evidenced by analysis of influential articles, citation patterns, and keyword frequencies. Davenport and Prusak's seminal work on knowledge management serves as a foundational foundation, emphasizing the critical role of effective knowledge utilization and sharing in collaborative healthcare research. This research explores linkages with other influential articles, including Scott's examination of social network analysis, Star and Griesemer's insights on institutional ecology, and Tranfield et al.'s methodology on evidence-based knowledge management. Further analysis extends to works on thematic analysis, inter-organizational collaboration, cancer genomics, and qualitative research methods, all of which contribute to a rich tapestry of collaborative healthcare research. Keyword analysis revealed thematic priorities, with a major focus on "Care" and "Experience", emphasizing the human dimension of healthcare. Challenges, technology and organizational aspects emerged as prominent themes, reflecting a holistic approach to collaborative exploration. The interplay between keywords such as "Dynamic", "Mechanisms", and "Performance" underscores the evolving nature of collaborative efforts and the need for strategic mechanisms to address challenges and improve performance. The analysis also highlights contemporary concerns, including the impact of the COVID-19 pandemic, barriers to collaboration, and the intersection of mental health and social media.
Digital and postdigital art: from aesthetics of a subject to the ontology of an object

The study highlights the increasing diversity of digital and postdigital art along with its rising or even defining influence on various phenomena and spheres of sociocultural reality. Based on ideological attitudes and value orientations, the media reality, through the ontologization of digital and postdigital art, becomes a social model of understanding reality and social life, while organizing communication, interpretation of meanings, and translation of ideas in a special way. In counterpoint to the scientific, technocratic paradigm, which in many respects dominates the digital and postdigital realm, the digital and postdigital space simultaneously becomes an arena for the revival of archaic consciousness. The essential and content foundations and aspects of the digital and postdigital manifest the categorical, conceptual, and essential ideas of art in general. They interact with the social, cultural, political, as well as geographical and topological, environments to the point of creating new cultural, social, symbolic, and material phenomena, hybrid and transformed forms. The essence of beauty is accessed through representations, mediated by symbolic, semantic, and essential agents. The study addresses specific aspects of digital art from the standpoint of materialistic approaches, postmodern concepts, network theories, and social constructivism. Particular attention is paid to the ontologization of art objects in the framework of object-oriented philosophy. Art objects acquire their ontological status from their own authenticity and gain their reality from the outside. Digital and postdigital art combines the immanent with the transcendent, which makes its objects possible or necessary, perceivable or real. Digital and postdigital art is marked by duality and ambivalence, which form a holistic unity in the aspects of object-subject relations and the social and non-human sections of reality.
Extending Field Service to Mobile Devices

Salesforce offers the Field Service mobile app for your workforce to manage their work orders on the go.
USE OF DICTOGLOSS TECHNIQUE TO IMPROVE STUDENTS’ NARRATIVE WRITING ABILITY

The purpose of this study is to examine objectively whether or not there is a significant difference between the eighth-grade students' narrative writing ability before and after treatment using the Dictogloss Technique at SMPN 1 Klapanunggal, Bogor West Java in the academic year 2022/2023. The research method was quantitative. The pre-experimental of one group pretest-posttest design was used in this study. The participants in this study were the eighth- graders of SMPN 1 Klapanunggal Bogor, West Java. The sample for this study was made up of 40 students utilizing purposive sampling taken from random group. The result revealed that the degree of freedom 39 at a significant level of 0.05 is 1.68 based on the t-table. The conclusion is t-value 17.03 &gt; t- table 1.68, and the alternative hypothesis (Hi) is accepted and the null hypothesis (Ho) is rejected. Thus, it can be inferred that there is a significant difference between the students' narrative writing ability before and after treatment using the Dictogloss Technique of the eighth-grade students at SMPN 1 Klapanunggal, Bogor West Java in the academic year 2022/2023.
ELEVATING YOUNG LEARNERS VOCABULARY MASTERY THROUGH KIM’S MEMORY GAME

This research aims to analyze the implementation of Kim’s memory game to improve the vocabulary mastery of the fifth graders at MI Pembangunan. This research used classroom action research design that included 12 students as the subject of the research. In conducting the research, the researchers collaborated with the classroom English teacher. The researcher and the collaborator worked together in planning, implementing, observing, and reflecting. This research used some instruments such as observation sheets and field notes to observe the implementation of Kim’s memory game during the act of conducting research. The findings showed that the implementation of Kim’s memory game in teaching vocabulary could improve the students’ mastery in vocabulary and encourages them to involve in the teaching learning process. The students’ improvement in vocabulary mastery was reflected on their result of the final test in the second cycle. The mean score of their final test in the second cycle reached to 99,5.
PENERAPAN DATA MINING MENGGUNAKAN METODE K-MEANS UNTUK PENENTUAN REWARD PELANGGAN Studi Kasus: UD. Penyubur Tani

UD. Penyubur Tani is a trading business that sells various kinds of needs for farmers in running their business in agriculture such as fertilizers, pesticides, seeds, and others. UD. Penyubur Tani wants to increase customer loyalty by giving rewards in the form of discounts so that its business is increasingly trusted and increasing, but in giving rewards to customers is still not effective, because UD. Penyubur Tani has difficulty in calculating one by one which customers whose frequency of purchases and total purchase price are most in the category of very loyal and loyal. Therefore, an application is needed to classify customers so that in determining strategies in building loyalty on target. By using the concept of CRM and the K-Means method, the results obtained from data processing are able to group customers who must be prioritized and can determine which customers deserve a reward. From 100 customer data, the K-Means Clustering method succeeded in grouping very loyal criteria by 8%, loyal 34% and potential by 58%.
Issues of architectural and urban organization of university campuses of the Ural federal district

Campus of a higher educational institution is a multifunctional complex of buildings designed to accommodate university departments connected by a system of special public spaces that form a unified environment for higher education, scientific research, as well as a wide range of related functions in the "worklife-rest" system of all levels for participants in these processes. The purpose of the research work is to develop the existing campuses of higher educational institutions. The object of the study is university campuses. The subject of the study is the features of the architectural and urban planning organization of university campuses. According to the type of architectural and urban planning placement of university campuses in the settlement structure, three types are defined: compact (local), multipart (dissected) and dispersed (dispersed). Typology features are formulated on examples of universities of the Ural Federal District. It is determined that in the conditions of the region under consideration, the most rational organization of campuses is a compact (local) and multipart (dissected) type. It is revealed that the existing architectural environment does not fully meet the requirements for modern universities. In this regard, proposals for the development of existing university campuses are presented, taking into account aspects of the transformation of spaces, interaction with the settlement and integration of the functions of science, education and production.
Dissection Puzzles Composed of Multicolor Polyominoes

Abstract Dissection puzzles leverage geometric dissections, wherein a set of puzzle pieces can be reassembled in various configurations to yield unique geometric figures. Mathematically, a dissection between two 2D polygons can always be established. Consequently, researchers and puzzle enthusiasts strive to design unique dissection puzzles using the fewest pieces feasible. In this study, we introduce novel dissection puzzles crafted with multi‐colored polyominoes. Diverging from the traditional aim of establishing geometric dissection between two 2D polygons with the minimal piece count, we seek to identify a common pool of polyomino pieces with colored faces that can be configured into multiple distinct shapes and appearances. Moreover, we offer a method to identify an optimized sequence for rearranging pieces from one form to another, thus minimizing the total relocation distance. This approach can guide users in puzzle assembly and lessen their physical exertion when manually reconfiguring pieces. It could potentially also decrease power consumption when pieces are reorganized using robotic assistance. We showcase the efficacy of our proposed approach through a wide range of shapes and appearances.
KEEPING JOURNAL WRITING TO IMPROVE THE WRITING ABILITY OF THE TENTH GRADE STUDENTS OF MAN AEK NATAS IN THE ACADEMIC YEAR 2020/2021

Since years ago, people often think that writing is the most difficult skill. Limited in grammar, difficult in word choice and afraid in making mistakes are some reasons why writing viewed as difficult skill. These also made most of the students on MAN Aek Natas Labuhanbatu Utara that has good facilities in support the English learning process precisely has a low ability in writing that proved by the score of 52, 4 under the KKM score. This research is conduct to improve the writing ability of the tenth grade students MAN Aek Natas Labuhanbatu Utara by keeping journal. The purpose of this research is describes whether there is or no significance progress in the students writing ability of the tenth grade students of MAN Aek Natas Labuhanbatu UtaraKudus after keeping journal writing. This study belongs to experimental research with pre-test and post-test design. This study focus on applying journal writing to the tenth grade students of MAN Aek Natas Labuhanbatu Utara based on learning journal on Hiemstra (2001) concept and adding by the writer’s own develop. After getting treatment, students are tested in the post-test. The result of post test showed that the students stand on the categorize of “Good” from the mean score 58,2 into 80,5 with to 8,04 &gt; tt 2,04 on the level of significance 5% and degree of freedom 34 (n-1).
SISTEM PENDUKUNG KEPUTUSAN EVALUASI HASIL BELAJAR SISWA DI SMK PGRI 3 SIDOARJO MENGGUNAKAN METODE FUZZY AHP (ANALYTICAL HIERARCHY PROCESS)

Evaluation of student learning outcomes have an important role for teachers in knowing students abilities and in determining how to guide students. However, in its application to vocational high school PGRI 3 Sidoarjo, the teachers have difficulty regarding the assessment system to evaluate students learning outcomes, the difficulty is in the ranking process. Vocational high school 3 Sidoarjo still used the old and manual systems so the result is that the time needed is inefficient time and made the teachers difficult in processing data. The decision support system of students learning result evaluation at vocational high school 3 Sidoarjo using AHP fuzzy method. The goal is to facilitate the teacher in the student ranking process. The process in this system is the admin inputing students data, classes and scores after that the admin determines the value of each criterion and sub-criterion, then the ranking process is based on class. This decision support system's output is the ranking of students' classes. Using the test results from 20 students, the old system and the new system will be compared. As the result, based on 20 students score data, there were incompatible data, the amount of data were 4 data, with a system accuracy rate of 80%. Unsuitable data due to the old system using 2 criterion while the new system using 5 criterion in ranking.
The life and work of an artist-teacher in the Southern Urals as a manifestation of Social and Professional Heroism (based on biographical data about Victoria Mukhametovna Pitirimova)

The relevance of this study is due to the fact that the images of heroes reflect the values of society and realize the function of transmitting these values from generation to generation. The images contribute to the formation of ideological attitudes of society, and are a of spiritual support for both an individual and entire multiethnic nation. Outstanding artists are not only masters, but also teachers, mentors who convey not only knowledge, but also a worldview, national consciousness and ideals, the position of a citizen, educate spiritual and moral principles. The purpose of the study is the life and creative path of V. M. Pitirimova as a manifestation of the professional and social heroism of the artist-teacher in the difficult socio-economic conditions of life in Russia at the end of the XX-beginning of the XXI century. The object of research is the biography, the path of creative and professional development of Victoria Mukhametovna Pitirimova. The subject of the research is artistic and pedagogical techniques and methods used by Pitirimova Victoria Mukhametovna, her moral guidelines. The research is based on an interview with the main character of the study – V. M. Pitirimova, in which she gives an interpretation of her key creative and pedagogical achievements. In the course of the study, historical-systemic, historical-genetic, historical-biographical and diachronic methods were applied. Based on the materials obtained in the course of the study, an attempt is made to present the main milestones of the life and work of the artist and teacher Pitirimova Victoria Mukhametovna in the most complete and consistent way.The scientific novelty of the research lies in the introduction into scientific circulation of previously unexplored and unpublished information about the creative and professional achievements of Victoria Mukhametovna.
ANALISIS KEPUASAN PENGGUNA SISTEM INFORMASI EVALUASI PENGAWASAN REALISASI ANGGARAN (SIEPRA) MENGGUNAKAN METODE End User Computing Satisfaction (EUCS)

This study aims to determine and analyze the extent to which the development of the Budget Realization Information System (SIEPRA) by evaluating in terms of the level of acceptance with the aim that SIEPRA can increase user satisfaction, simplify the process, ease and speed in obtaining services so that performance achievement reports and overview of the performance realization of the Regional Equipment Work Unit (SKPD) can be timely and correct. The research instrument used is a questionnaire. This research uses the End User Computing Satisfaction (EUCS) method which will be used to determine SIEPRA user satisfaction. The variables to be measured are Content, accuracy, format, ease of use and timeliness. This study aims to analyze the extent to which the development of SIEPRA by evaluating the level of acceptance with the aim that SIEPRA can increase user satisfaction using the EUCS method. Based on the results of the study, it can be seen that the level of satisfaction of SIEPRA users on each EUCS variable is 74.6% for the content variable, 76.6% for the Accuracy variable, 78.8% for the Format variable, 70.2% for the Ease of Use variable and 70.2% for the Timeliness variable. In general, the level of satisfaction of SIEPRA users based on the results of the study is in the category of satisfied and very satisfied with a percentage ³ 70%.
Distributed Privacy-preserving Support Vector Machine Training Scheme on Vertically Partitioned Data

With the development of information and technology, many organizations implement machine learning (ML) technology to perform data analysis and achieve better efficiency. Machine learning has been widely used in many areas including industry, e-commerce systems, and smart grids. Most organizations choose to outsource ML services to cloud services due to the tremendous storage requirements and power consumption. However, outsourcing private data to an external service provider may lead to data privacy issues. Although the existing privacy-preserving support vector machine schemes can securely aggregate local data, they did not consider insider collusion attacks. In this paper, we propose a privacy-preserving support vector machine training scheme called PPSVM to protect data owners’ outsourced data privacy. The proposed PPSVM can prevent insider collusion attacks between honest-but-curious insiders and external service providers where t is the threshold of the secret sharing to reconstruct the secrets. Our main technique is to apply a secure data aggregation method to achieve data privacy. The experiment results show that the performance of the model trained via PPSVM is almost the same as the ordinary support vector machine, and the time cost is acceptable.
A General Solution to the Quasi Linear Screening Problem

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SISTEM INFORMASI PRESENSI DAN PENGGAJIAN GURU DENGAN RADIO FREQUENCY IDENTIFICATION (RFID) MENGGUNAKAN E-KTP Studi Kasus: SD Negeri 1 Permanu, Kabupaten Malang

In the current technological era, several educational institutions' teacher attendance and payroll system uses manual recording in a book for each attendance and payroll. This research aims to design and build a teacher attendance and payroll system integrated with a database using radio frequency identification (RFID). This attendance and payroll system consists of several main components, namely E-KTP used as a substitute for ID cards and RFID readers used to read teacher attendance information. The attendance and payroll system has several features, namely, attendance and return scan page, attendance summary report and payroll report in form of salary report. The method used in this design is the Rapid Application Development (RAD) method. The method provides much faster development and better results than the traditional cycle. The information system testing used is blackbox and whitebox testing. The results of implementing the Attendance &amp; Remuneration Information System in SD Negeri 1 Permanu have shown that the system improves the attendance of teachers.
Proposal and Implementation of Support System for Care Workers Using Non- Contact Vital Signs Sensor and Low-power Wide-area

In Japan, the demand for nursing care is increasing with the aging of the population. On the other hand, the nursing care industry is facing a serious problem of increasing the burden on care workers due to a shortage of labor. In this study, we proposed and implemented a support system for care workers that can detect when multiple persons requiring nursing care exit the bed and display vital data using a non-contact vital sensor, which is non-invasive and psychologically less burdensome for persons requiring nursing care. We mounted our board on the vital sensor and wirelessly sent vital data to a database server via Low-power Wide-area to create a visualization site to support care workers. We also realized a linkage mechanism with the nurse calls system using a photo relay. The visualization site assists care workers by displaying the history of persons being in or out of bed, displaying vital data, and comparing the data with past vital data. As an evaluation of the system, we conducted a demonstration experiment at a nursing home to evaluate the system and demonstrated its effectiveness of the system by checking the sleeping hours, awakenings at night, and vital data trends, of persons requiring care from the implemented visualization site.
Synchronous observation of information loss generating among ions in a long-range Paul trap chain

Abstract A one-dimensional chain of long-range vibrational trapped ions at low phonon temperatures is employed to simulate the arising and robustness of the information of nonlocal correlations among correlated and uncorrelated sites. We demonstrate that the direction of the acting global magnetic field in Paul’s trap controls the dynamics of correlations and entanglement between ions. Also, we analyze the robustness of the nonlocal correlations in the trap under the impact of ions vibrating and the interaction strength of ions by considering the distance between them. The criteria of concurrence entanglement, Bell inequality, and uncertainty-induced nonlocality are studied to detect the nonlocal correlations among ions that decide the fundamental resources of information in the chain. Furthermore, the analytical solution describing the decoherence equation under the ionic vibration in Paul’s trap is found to track encoded information in the chain.
PROFIL EFIKASI DIRI PESERTA DIDIK BERDASARKAN PROSES DAN HASIL BELAJAR BIOLOGI SMA

Self-efficacy is a psychological factor that can influence how well a person learns. Students' confidence in their abilities is proven to have a significant influence on learning outcomes. This research aims to describe students' self-efficacy profiles based on biology learning processes and outcomes. This research is descriptive research with a quantitative approach. The instruments used in data collection were questionnaires, observation sheets, and documentation. The population in this study were all students of class XI Science at SMA Negeri 21 Medan with a sampling technique using a total sampling method, totaling 143 students. The results of the research show that class category with a percentage of 67.1%, but biology learning outcomes are still in the poor category with an average score of 54.5. This shows that self-efficacy is only one of many factors that can influence student learning outcomes