Reviewerly/exHarmony huggingface dataset:
Promoting peace education through the adult in the community

This paper is an exposition of the subject “Promoting Peace Education through the Adult in the Community”. In it the characteristics of Peace have been analyzed both from the definitional point of view and from the literature. Two keys words which revolve around peace, namely, peaceful and peaceable, have been analyzed and one may understand that it is not just enough for one to be peaceful but more importantly peaceable which connotes activity: one has to be a peacemaker. Looking at the various manifestations of lack of peace it has been indicated that these may be perceived from the cultural, ethnic, racial, political or religious problems which often results in conflicts, violence and wars. Other social problems have also resulted from lack of peace, including environmental problems and crime. The Adult in the Community is therefore, seen as the focus in any meaningful conflict resolution and therefore, in peace education in the community with the Adult in the family as a focal point. This has implications for the adult educators whose beliefs in the progressive perfectibility of the human nature and human condition should spur him to educate adults in peaceful and peaceable directions.
AN ADAPTIVE 𝑘-MEDIANS CLUSTERING ALGORITHM

A new version of the k-medians algorithm, the adaptive k-medians algorithm, is introduced to solve clustering problems with the similarity measure defined using the L1-norm. The proposed algorithm first calculates the center of the whole data set as its median. To solve the k-clustering problem (k-1), we formulate the auxiliary clustering problem to generate a set of starting points for the k-th cluster center. Then, the k-medians algorithm is applied starting from the previous (k-1) cluster centers and each point from the set of starting points to solve the k-clustering problem. A solution with the least value of the clustering function is accepted as the solution to the k-clustering problem. We evaluate the performance of the adaptive k-medians algorithm and compare it with other concurrent clustering algorithms using 8 real-world data sets.
A Hybrid Model Particle Swarm Optimization Based Mammogram Classification Using Kernel Support Vector Machine

Identifying affected cancer cells in women’s breasts is mammogram, which is the major issue in the field of medicine all over the world. In order to raise the endurance of patients, it is most essential to identify the issue as early as possible. It also helps them to inflate the different options for treatment. With the new dramatic development in computation, machine learning made a revolution with dataset includes huge volume of breast images which could assist in recognizing malignant tumor with better diagnostics. Digital mammography images are taken, in that the x-ray images are read and stored in computer such that data can be easily enhanced and classified for further action. A novel approach is proposed in this paper to diagnose cancer affected cells with a good accuracy rate. Classification of mammogram with hybrid model includes feature extraction, various kinds of features are extorted from the intensity mammogram. A Particle Swarm Optimization optimizer is used in this paper which selects the features, and kernel-based Support Vector Machine classifier classifies the cancer lump from the taken mammogram metaphors. The exactness of a specific model can be assessed by the level of right forecasts made by the model.
Transparency Of Research Program On The PTKIN WEbsite In Indonesia (Research Program Transparency On State Islamic Higher Education Website In Indonesia)

This study aims to determine the transparency of research programs on the PTKIN website in Indonesia. The method used in this research is content analysis on 58 PTKIN websites in Indonesia, consisting of 17 UIN, 35 IAIN, and 6 STAIN. The results showed that the level of transparency of research programs for all PTKIN in Indonesia was 37%. It is also known that the aspect that is most often disclosed on the PTKIN website is the aspect of research information, namely news related to research activities. Meanwhile, aspects that are rarely available on the PTKIN website are aspects of publication targets, research abstracts, realization of publications, and research budgets.
Motion Enhanced Model Based on High-Level Spatial Features

Action recognition has become a current research hotspot in computer vision.Compared to other deep learning methods, Two-stream convolutional network structure achieves better performance in action recognition, which divides the network into spatial and temporal streams, using video frame images as well as dense optical streams in the network, respectively, to obtain the category labels.However, the two-stream network has some drawbacks, i.e., using dense optical flow as the input of the temporal stream, which is computationally expensive and extremely time-consuming for the current extraction algorithm and cannot meet the requirements of real-time tasks.In this paper, instead of the dense optical flow, the Motion Vectors (MVs) are used and extracted from the compressed domain as temporal features, which greatly reduces the extraction time.However, the motion pattern that MVs contain is coarser, which leads to low accuracy.In this paper, we propose two strategies to improve the accuracy: firstly, an accumulated strategy is used to enhance the motion information and continuity of MVs; secondly, knowledge distillation is used to fuse the spatial information into the temporal stream so that more information (e.g., motion details, colors, etc.) is obtainable.Experimental results show that the accuracy of MV can be greatly improved by the strategies proposed in this paper and the final recognition for human actions accuracy is guaranteed without using optical flow.
An empirical study on Personal Factors of Employee Engagement in BPO Industry

Purpose: The paper explores Personal Factors as one of the factors of Employee Engagement of the employees. Employee's Personal factors comprises the intrinsic motivation of employees. It implies that employees are satisfied on the job. Methodology: A survey of 350 employees was conducted across 5 NASSCOM listed BPO companies. The itemized scale used in study consisted of 5 items. To understand the relationship, chi-square analysis is performed. Findings: The results indicated that there is positive association between Personal factors and Demographic characteristics of employees. Research implications In this study, the researcher will attempt to bridge the gap between theory and practice in terms of Employee engagement. The dimensions related to the Personal factor identified will form the base for further investigation in BPO Industry. Practical implications: The study will also add to the body of knowledge on Employee engagement, allowing future researchers to investigate a more comprehensive view of Employee engagement. Social implications: The study will prove to be beneficial with a Industry plagued with retention and turnover issues. Originality/Value: The study is focused towards evaluating Personal factors in terms of Employee engagement. Therefore, act as a management fad towards fixing the issues related with employees in the Industries.
REVITALISASI PEMBELAJARAN BAHASA DAN SASTRA INDONESIA SELAMA MASA PANDEMI COVID-19

The article, entitled Revitalization of Indonesian Language and Literature Learning During the Covid-19 Pandemic, aims to describe efforts to reactivate learning of Indonesian language and literature during the Covid-19 pandemic. The method used in this research was qualitative which was carried out on 62 students at the Golden Christian School Senior High School. The results obtained in this study are as follows: (1) The survey on the implementation of online learning received a fairly good response from students on the overall aspects of the learning system, lesson schedules, the benefits of learning resources, the delivery of material by the teacher, the teacher's answers to students' questions, and assignments given to improve students' understanding; and (2) Efforts to revive Indonesian language and literature learning activities in online learning are carried out by utilizing various learning media, namely Zoom Cloud Meeting, YouTube, Instagram, Google Classroom, and Google Form.
Classification and Recognition of Bilingual Text Using Graph Edit Distance Based Degree of Similarity

Objectives: Graph Edit distance-based classification and recognition method is introduced in this study for bilingual characters.Specifically, this method aims to classify characters first and then recognize them in the 2nd level.Methods: This study combines both exact graph matching and inexact graph matching techniques to achieve better Recognition.The exact graph matching technique classifies characters by considering the number of vertices and edges as features to classify.Inexact graph matching uses an algorithmic model to measure the degree of similarity in the length of edit operations.Findings: The proposed model can compute, if not optimal, sequences all the time, at least near-optimal edit sequence.The proposed model is based on dynamic programming.Edit distance is estimated by comparing preorder sequences of the respective binary trees.Finally, this model uses the loss function to recognize text accurately.To bring out the practicality of the proposed model, we present a case study on the classification of English alphabets and Kannada conjunct consonants.Novelty: (i) A hybrid approach for converting a large class classification problem into a small classification problem that takes advantage of both exact and inexact graph matching techniques.(ii) An algorithmic model is designed to represent each character as a unique string.(iii) Uses dynamic programming in the right places to get the optimal tree, and (iv) to convert the graph matching problem to a string matching problem reduces the time complexity of the problem.
Empowerment and Reaffirmation of Paternal Abilities (ERPAT) Management Information System with SMS Support: Usability and Performance Assessment

Objectives : Empowerment and Reaffirmation of Paternal Abilities or ERPAT are current trends in local government units (LGUs) in the Philippines.Thus, this study aimed to provide a new way of storing and retrieving data and status of membership of ERPAT members in a digital platform.Methods: This study employed a developmental-descriptive research design.There were 80 respondents for ERPAT members and 15 respondents for staff.Also, five experts as evaluators participated in the study.The data were gathered using the PSSUQ instrument for usability and a researcher-made survey questionnaire based on the ISO/EIC 9126 standards for performance efficiency.Rapid Application Development was used as a software development cycle model.Findings: Results show that the level of usability in terms of functional accurateness and suitability were all interpreted as "Very Good."The level of performance in terms of resource utilization and time behavior was also interpreted as "Very Good."The developed system was deemed to be efficient and effective to address the needs of the ERPAT Coordinator and the ERPAT members.This significant result implied that the respondents were quickly impressed by the system features of the developed system.Mobile phones in ERPAT are essential as a tool of communication nowadays.The study results showed SMS has a great potential for storing and retrieving data for ERPAT members.Novelty: The study improved the traditional way of storing and retrieving data and delivering communication using SMS technology to clients digitally.However, further studies are required to ensure the effectiveness of the innovations.
Content Analysis on Mediamorphosis Assisted Learning in Higher Learning Institutions

The influence of technology and mediamorphosis at various levels is on the rise.Traditional media have undergone innovations in accordance to the advancement of technology.Its contributions are currently benefited extensively in life and applied in education.This article analyses mediamorphosis assisted learning in Institutions of Higher Learning focusing on its implementation and challenges.This qualitative study employs content analysis frameworks from the Education Resources Information Centre (ERIC), Directory of Open Access Journal (DOAJ), Google Scholar, and SAGE search engines.The focus is related to mediamorphosis assisted learning between 2015 and 2020.The findings revealed that learners obtained positive effects in learning through mediamorphosis compared to traditional methods.Facebook and Twitter are the preferred platforms among lecturers and students due to their accommodating format for teaching and learning.The use of mediamorphosis allows learning to be more open as ideas can be shared; learning materials are interactive, creating effective learning.Therefore, educators and learners need to be familiarised with the new media technology, especially with emphasis to the latest education medium.
PENERAPAN LAYANAN HOME VISIT PEMBELAJARAN PADA MASAPANDEMI COVID-19 DI SDN 13 SUMBER MARGA TELANG DESA SUMBERJAYA KEC. SUMBER MARGA TELANG KAB. BANYUASIN

The covid-19 pandemic in Indonesia has had an impact on all fields, including education. As one of the ways to prevent the spread of civil-19 in the field of education in particular, the Minister of Education and Culture of Indonesia has issued circular letter Number 4 of 2020, regarding the implementation of learning during the covid-19 emergency which explains the learning process that is transferred to home or better known as online learning.The number of problems that arise as a result of online learning so that an offline learning system is implemented in the form of a learning home visit service which is implemented as an effort to solve students’ online learning problems during the current pandemic and continue to provide education directly but still by limiting associations and maintaining health protocols.This research uses qualitative research. With data, collection techniques are done by conducting observations, interviews, and documentation as supporting data. The analysis technique uses a research model from Miles and Huberman, namely data reduction, data presentation, and conclusions.From the results of the study, it can be concluded that: 1) The implementation of the learning home visit service at SDN 13 Sumber Marga Telang went well with several stages, namely the preparation stage, the implementation stage of the learning home visit service, the monitoring and evaluation stage, namely the preparation stage, the implementation stage of the learning home visit service, monitoring and evaluation stage, the follow-up stage and the last one, report stage. 2) Obstacles faced by teachers in implementing learning home visits during the covid-19pandemic at SDN 13 Sumber Marga Telang include obstacles or obstacles in planning, obstacles in implementation, obstacles when monitoring and evaluating, and obstacles when taking action further as well as obstacles in the reporting process.
PENGARUH PENERAPAN TEKNIK MEMBACA SUPER GAYA ACCELERATED LEARNING TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN SEJARAH KEBUDAYAAN ISLAM DI MAN 2 PALEMBANG

Reading activity is one of the skills that must be possessed in learning activities. How to read reading material can be different according to the purpose of reading it. This super reading style acccelerated learning technique is a speed reading technique to improve students' reading skills in finding main ideas of reading and reading comprehension quickly, so it can affect student learning outcomes. The purpose of this study was to obtain empirical data on the influence of the application of super reading techniques style accelerated learning to student learning outcomes in the subjects of Islamic Cultural History at MAN 2 Palembang.&#x0D; This type of research used in this study is an experimental study in the form of pretest-posttest control group design. Then this research data collection technique uses observation, documentation and test techniques. The data analysis technique used is the t-test gain score and gain test (N-gain). The samples of this study were 32 experimental class students (class XI IIS 2) and 31 control class students (class XI IIS 1) using techniques nonprobability sampling.&#x0D; Based on the results of the t-test gain score, the calculated t value is greater than t table, that is t count = 2.00 and t table = 1.99 with a significant level of 5%, then the results of the gain test (N-gain) are obtained at the experimental class was 0.39 in the medium category and the control class was 0.22 in the low category. So the result of the t-test gain score states that the alternative hypothesis is accepted and the null hypothesis is rejected.
PARENT-CHILD RELATIONSHIP TO THE COMPETENCE OF GRADE 4 LEARNERS ON DISTANCE LEARNING MODALITY

This study aimed to determine the relationship of the Parent-child relationship to the competence of Grade IV-Learners.The respondents of this study are forty (40) grade 4 learners of San Jose Elementary School in Santa Cruz District , Santa Cruz, Laguna for School Year 2021-2022.This study found that majority of the parents of the respondents were middle age adult (31-45 years old), female, high school graduate and unemployed.The results implied that the extent of parent-child relationship with regards to loving interaction, listening and empathy and problem solving were very high while the extent of parent-child relationship with regards to parental discipline was high.Majority of learners have a good relationship with their parents.The level of learning environment at home relative to safety is very high as well as in terms of positivity, the learning environment which they are belong is safe and positive.the level of competence of learners in terms of practical skills and written test were very high.The result implied that the extent of parent-child relationship has no implication on the learners' competence.A learner may have a good relationship with their parents yet it will not always guarantee an equally good school performance.However, a poor parent-child relationship will not also mean that a learner will not be able to perform well in school.Also learning environment at home has no significant effect on the competence of learners in terms of practical skills and written test.
Executable Semantics and Type Checking for Session-Based Concurrency in Maude

Session types are a well-established approach to communication correctness in message-passing programs. We present an executable specification of the operational semantics of a session-typed $$\pi $$ -calculus, implemented in the Maude system. We also develop an executable specification of its associated algorithmic type checking, and describe how both specifications can be integrated. We further explore how our executable specification enables us to detect well-typed but deadlocked processes by leveraging reachability and model checking tools in Maude. Our developments define a promising new approach to the (semi)automated analysis of communication correctness in message-passing concurrency.
Genetic optimization mapping applied to medical image segmentation

A number of important optimization problems have been classified as mapping applied towards segmentation of important features. The segmentation of important features can be formulated as configurational mapping problems by representing mapping configurations as solutions to problems of interest. One example of such configuration mapping is found in image segmentation where an image can be represented as unique subsets of a complete image and then evolved through mapping to become a segment of specific interest within an image. An effective segmentation mapping algorithm must determine the specific image subsets of an image field that best exhibit an a priori set of quantitative and qualitative characteristics. In this paper, a Genetic Optimization Mapping Algorithm is used to produce a population of sub-images, characteristic of specific image subsets of interest that were tested via a quantitative objective function, ranked using a linear fitness scheme, and modified using a genetic Crossover operator. The mapping algorithm is found to converge, within fifty to one hundred generations of maps, to a good fit to the targeted mapping configuration in a very robust and efficient manner.
Identifying emerging smells in software designs based on predicting package dependencies

Software systems naturally evolve, and this evolution often brings design problems that contribute to system degradation. Architectural smells are typical symptoms of such problems, and several of these smells are related to undesired dependencies among packages. The early detection of smells is essential for software engineers to plan ahead for maintenance or refactoring efforts. Although tools for identifying smells exist, they detect the smells once they already exist in the source code when their undesired dependencies are already created. In this work, we explore a forward-looking approach for identifying smells that can emerge in the next system version based on inferring package dependencies that are likely to appear in the system. Our approach takes the current design structure of the system as a network, along with information from previous versions, and applies link prediction techniques from the field of social network analysis. In particular, we consider a group of smells known as instability smells (cyclic dependency, hub-like dependency, and unstable dependency), which fit well with the link prediction model. The approach includes a feedback mechanism to progressively reduce false positives in predictions. An evaluation based on six open-source projects showed that, under certain considerations, the proposed approach can satisfactorily predict missing dependencies and smell configurations thereof. The feedback mechanism led to improvements of up to three times the initial precision values. Furthermore, we have developed a tool for practitioners to apply the approach in their projects.
Implementation of Blended Learning to Improve Student's Social and Academic Skills

The use of blended learning methods can improve learning outcomes and learning effectiveness of students in Civics subjects at SMA Negeri 1 Sumbawa Besar. The purpose of this study was to determine the application of the Blended Learning model to improving social and academic skills and learning effectiveness of students at SMA Negeri 1 Sumbawa Besar. The sampling technique used in this research is purposive sampling. The data analysis technique used is descriptive and statistical analysis. This research uses Mix Methods research with an experimental approach. The number of samples used in this study were 74 samples where each sample was given the same treatment by observing, interviewing and documenting learning outcomes so as to achieve results above the minimum completeness criteria and there was a significant increase between the PTS mean value is 83.86 with minimum value 74 and the maximum value is 96 and the PASmean value is 88.73 with minimum value 76 and maximum value is 100.Based on the results of these studies, it can be proven that learning in Civics subjects using the blended learning method can improve the learning outcomes of SMA Negeri 1 Sumbawa Besar students which is indicated by the increase in the value of social skills and academic skills, besides the learning process using the blended learning method can actually increase the effectiveness of learning at SMA Negeri 1 Sumbawa Besar.