Reviewerly/exHarmony huggingface dataset:
The Implementation of SST as the System of Room Reservation for Students’ Organization at Atma Jaya BSD Campus

The implementation of SST in any organization activity can create a positive outcome and bring less negative response if the system failed. The bureau of students, alumni, and student career counselling at Atma Jaya has difficulties managing a room booking process for the student’s organization. The current method of room booking is done manually, and it has taken a lot of costs, especially from time, human resources, and the process itself. This research focuses on developing the SST system that can help the bureau manage the room booking process. The system itself will be developed on a web-based platform using Laravel as the framework. The room booking system will be developed using an SDLC model with five general processes: planning, analysing, design, implementation, and testing. This research will also measure user satisfaction while using the system using Kaplan and Norton Model. The result of this study is a web-based system for a room booking process for students’ organizations in Atma Jaya BSD Campus. Based on the evaluation of user satisfaction, this system has an average score of 4.56, which indicates the user is very satisfied using this system for the room reservation.
The Impact of Interactive Conceptual Instruction on Students in High School Physics

The paper evaluated the impact of the interactive conceptual instruction in studying physics at the basic education high school level.The research used an experimental design through the pretest and posttest control group.The randomly selected samples were high schools students from Sagaing, Mandalay and Nay Pyi Taw regions.The ANCOVA results showed a statistical significant difference between the performance of the students who received interactive conceptual instruction and those who did not.Moreover, the qualitative data also supported the quantitative findings.The research findings proved that interactive conceptual model has positive contribution to the teaching of physics at the high school level.As the study explored effective ways to learn physics, the results were valuable inputs in the teaching and learning.It serves as a guide in constructing interactive conceptual instruction lessons in the effective teaching of physics.
INSTITUTIONAL INVESTOR HETEROGENEITY AND INNOVATION .

According to investment horizons and portfolio concentration, this paper divides institutional investors into short-concentrated, short-diversified, long-concentrated, and long-diversified investors, and analyse the impact of different types of institutional investors on the innovation intensity of listed companies.Based on the data of non-financial listed companies in China's Ashare stock market, the empirical results show that short diversified and long concentrated investors can promote the innovation intensity of listed companies, and this effect is more significant after the encouragement of regulatory policies.
Relevant Projectrecommendation System Using Developer Behavior And Project Features

GitHub is a product improvement stage that advances participation and joint exertion in project advancement. Generally, engineers investigate related activities to reuse capacities and during investigating they coincidentally find a few elements that might help them in their undertaking. Recommending developers some projects that are similar to their work can save their time. Yet, it is difficult getting relevant projects amongst the pool of many projects on GitHub. Besides, every other user may have different requirements and choices for the project. A recommendation system saves developers from spending their time searching for projects that can help them in developing. In this paper, we propose an interactive and customized recommendation approach that recognizes software project features and developer behavior. This proposed approach naturally suggests the top-N most comparable programming projects. The outcomes utilizing information slithered from GitHub shows that our proposed approach suggest significant tasks with high review at cutoff 5 and 10.
The Pre-colonial Yoruba Education System: Catalyst Against Immorality

The notion that Africans in general have no literature of their own has been severally debunked as false assertion. Awólàlú (1979) describes it as ‘erroneous’, a thought borne out of prejudice, malice and bias (3). Among these is their method of training both the young and old in the ways and traditions of the people. The Yorùbá had a system of education referred to as ìlànà ètò è̩kó̩ ìbílè̩ (traditional or indigenous system of education). Even though the said system of education was not documented, it is not only flexible enough to conserve the tradition and culture of the people, it has also proved adequate in transmitting the cultural heritage from generation to generation using the mother-tongue as a tool. Tis paper examines the effectiveness of this traditional system of education in the development of the pre-colonial Yoruba society especially in terms of moral diligence. The paper critically analyzes the system and concludes that a society that is morally bankrupt cannot develop, hence the need for a system of education that emphasizes moral training such as the Yorùbá traditional system of education as compared with the Western system of education, which lays emphasis on jobs. The paper concludes that if the formal education system can prioritize moral training by tailoring the curriculum towards this objective, the problem of high moral decadence level currently ravaging our various societies may continue and this will not do the societies any good.
BENEFITING FROM RUANGGURU FOR TEACHING ENGLISH: TEACHER’S PERSPECTIVE

Technology has been successfully attracting human’s life, including in education. It can be seen that there are a lot of online learning especially in English language learning that can be accessed by everyone in everywhere. In Indonesian context, Ruangguru is an example of an online course that most popular used nowadays. This paper aims at exploring the way of teaching practices that used by teachers and challenges they faced in teaching English in Ruangguru. This study is a descriptive qualitative using interview as the instrument of data. The respondents of this present study are teachers who teach English from different level of students and learning programs that were chosen by snowball sampling. This study found that most of the teachers have similar methods of teaching such as preparing materials reading and having knowledge before delivering lesson to students. The teachers also faced corresponding challenges such as internet connection and difficult question that should be answered directly.
Improving the Ability of Class Teachers in Developing Student Work Sheets Learning from Home Program Through Mentoring

This study aims to improve the skills of class teachers in the preparation of Student Worksheet for Home Learning Program through Mentoring at Elementary School 3 Kebutuhduwur, District Pagedongan Banjarnegara, academic year 2020/2021. In the initial conditions, the class teachers at Elementary Scho
The Appraisals Used by Indonesian and Filipino Teachers in Casual Conversation

The Appraisal system is a comprehensive framework that prominently accommodates word classification. These words reflect the feelings and attitudes of the speakers that might implicitly be influenced by culture and norms. To find out the differences and similarities, transcribed conversations of Indonesian and Filipino teachers in Maria Regina School were analyzed. A qualitative method is applied to interpret the findings. The manifestation of attitude, judgment, and graduation are classified accordingly based on Martin and White (2005). The finding of this research is then supported and related to the values and culture that ground the way teachers express appraisal in conversation. The result indicates that teachers are dominant in the engagement system, especially entertain items. These items reflect kinship and open discussion among teachers through questions and the use of modals. In the attitude systems, Filipino teachers are more dominant in positive security that reflect confidence and togetherness while positive happiness items are found in Indonesian teachers where they express their fascination and contentment. Indonesian teachers tend to express judgment of normality while Judgement of capability was expressed more by Filipino teachers. In the graduation system, teachers mostly use force intensification to express the degree of intensity, repetition, and quality. The significance of the research is, the readers will learn to be more considerate in expressing their feeling and emotion in casual talk, especially with people who have different backgrounds of culture.
“Wegoquiz” to Improve Students’ English Achievement

Pandemic began to enter this country around March 2020. Since then, almost all teachers, students and schools were shocked by the very sudden change. Online learning becomes one of the solution in learning.However, many students could not follow this online learning well. Therefore, the teachers have to be very careful in choosing and planning online learning media for teaching otherwise the result would be dissatisfying. This paper reports a best practice on the use of “wegoquiz”media in improving the students’ English achievement at SMAN 1 Batang Anai. It is a combination of three media in online learning. The three media are learning website with google site, google meet and quizziz. These media were used to the third year students in the first semester of 2021/2022 academic year. The result shows that by using “wegoquiz”,the students’engagement in learning process is improving a lot. They learned using the website, they attended google meet and they did the quizziz several times. As a result, their English achievement is also improving significantly.
Management for “human education” and its implementation in teachers’ training in the humanistic paradigm

The purpose of the research is to clarify the current problems of education in terms of education management and to work out the ways of solving them within the framework of the humanistic paradigm, that is, “management for human education”, presenting these solutions as implementing the required model of teachers’ training. Methodology. The author implements the approaches of education anthropology, the basis for which was provided by monitoring in action, textual records and research letters, as well as general philosophical methods. Scientific novelty of the research lies in the anthropological view of the education problems, including the sphere of management. The perspective of the modern situation under study, that is, the neoliberal and managerial context add to the degree of scientific novelty. Results. Different conceptions of education management are revealed and the corresponding management models are considered, the difference of which is explained by opposing the humanistic and managerial paradigms. In a number of problems of education management, beyond the usual ones that appear for the collectives of educational organizations, it became obvious that new problems have emerged due to introducing “new management”, which has a noticeable impact on the goals and values themselves, distorting “human education”. As a response required from management to the needs of education in line with the humanistic paradigm, a “synergetic model of management” and “democratic management of education” are proposed. Conclusions. On the basis of analyzing the problems and education management models required for education, the author draws conclusions for teachers’ training: highlights the ideas that make up its guidelines, and outlines possible approaches to the content and methods of teaching education managers and teachers in line with the model “Creative, autonomous, reflective teacher” corresponding to the humanistic paradigm.
Review on Different Software Tools for Deep Learning

Abstract: Deep Learning Applications are being applied in various domains in recent years. Training a deep learning model is a very time consuming task. But, many open source frameworks are available to simplify this task. In this review paper we have discussed the features of some popular open source software tools available for deep learning along with their advantages and disadvantages. Software tools discussed in this paper are Tensorflow, Keras, Pytorch, Microsoft Cognitive Toolkit (CNTK). Keywords: Deep Learning, Frameworks, Open Source, Tensorflow, Pytorch, Keras, CNTK
National Data Sharing Policy in the Era of Open Science: A Systematic Literature Review

Research data sharing activities provide many benefits to the research ecosystem. However, in the Indonesian context, there is a lack of policy in regulating research data sharing mechanisms which makes researchers reluctant to undertake the practice of data sharing. Research funders and research institutions play a critical role in developing data-sharing policies. Research related to the policy of research data sharing is important in order to design policies to encourage the practice of research data sharing. A systematic literature review was conducted to see how data-sharing policies were formulated and implemented in various research institutions. The data were taken from Scopus and Dimension indexers using controlled vocabulary. The roles of research institutions and funders as well as policy instruments were analyzed to see patterns that occur between the parties. We examine 23 articles containing data sharing policies. it was found that the funders have the greatest role in determining the design of the data sharing policy. Funders view that research data is an asset in research funded by public funding so that the benefits must be returned to the community. Research institutes play a role as a provider of research infrastructure that contributes to data creation. Meanwhile, researchers as research actors need to provide input in developing data sharing mechanisms and regulating data sensitivity aspects and legal aspects in research data sharing.
Socialization And Training Of Web-Based Cendana Posyandu Information System In Kahuripan Village, Tasikmalaya City

Information system is an integrated system that provides information or data to support various operational activities, management, and decision-making functions of an organization or company. Information systems are needed in an organization because what determines the running of an organization is the information it has, such as in making reports given to the leadership, depending on whether the information is accurate or not. As is the case in non-profit organizations in the community, namely Posyandu. Posyandu (Pos Pelayanan Terpadu) is a form of Upaya Kesehatan Bersumberdaya Masyarakat (UKBM) carried out by, from and with the community, to empower and provide convenience to the community to obtain health services for mothers, infants and toddlers. The implementation of the Posyandu which is routinely carried out every month is carried out by health cadres whose workforce is voluntary and is chosen by local residents and is tasked with fostering the community. The purpose of this community service program is to provide knowledge and understanding to Posyandu cadres so that they can provide maximum health services to the community, especially health service administration during registration, recording and reporting, namely by providing socialization of the use of the Web-Based Posyandu Information System for Cendana Posyandu cadres in Kahuripan Village, Tasikmalaya City. It is hoped that with this socialization, the cadres can use the Posyandu Information System properly so that the health services provided can run optimally. Features that exist in the Posyandu Information System include recording of mother's d
Expand the Capabilities for Backups a Paas-Type Virtualization System

Currently, resources in data centers are used extremely inefficiently. Storage systems are loaded on average about 25%, and servers and network resources - up to 30%. After implementing virtualization, the resource load level in a well-managed server environment increases by 30% to 90%. Virtualization undoubtedly provides many advantages in an infrastructure. One of the most important is the ability to easily create and manage backups of virtual machines, as well as quick recovery if necessary after disasters or accidents. Recovery time is many times faster than when applications and the operating system are hosted on a real server, while the loss of information with proper management is from zero to minimal. The available weekly and daily backups in Proxmox VE are not always flexible enough to properly organize backups in an IT infrastructure. In most companies and organizations there are virtual and real servers that play a significant role, but the data in them, as well as operating systems change very rarely. With existing methods, weekly backups need to be set up to ensure the reliability of the data and to recover quickly in the event of a disaster or accident. The paper aims to research and propose approaches which can extend the bult-in backup process by adding monthly backups for Proxmox VE. The research discusses the optimization of the process of creating backups to reduce network traffic between nodes and storage, as well as optimizing stored storage data.
Context Based Service Access framework for Pervasive application: Comparative Analysis of AHP and Fuzzy AHP

Significant advancement in the area of communication technology paves a way for a pervasive environment.Role based access control policies provide fixed security in the access control mechanism.RBAC being used in combination of contextual parameters to improve the security in access control mechanisms.Because of the mobility of the entities, we need to adapt new access control policies accounting the contextual parameters.In this paper we developed a new access control based on preference of the contextual parameter for the trusted entity based on fuzzy Analytical Hierarchy Process (AHP).We observed that the access control preferences are by location, network, time and initial trust value of the requested service in dynamic situations.It provides flexibility and scalability in enforcing security policy between trusted entities.
Application of Black Scholes Method in Determining Agricultural Insurance Premium Based On Climate Index Using Historical Burn Analysis Method

Climate index insurance is an insurance that provides reimbursement for losses due to decreased harvest rates or crop failures caused by weather. The use of Historical Burn Analysis (HBA) method in determining climate index based on rainfall resulted in a concept of the agricultural insurance payment in Pasuruan Regency. The application of The Black Scholes method in determining agricultural insurance premiums is obtained when rainfall more than 17 mm the premium is Rp 221,234. If the rainfall are 13 mm ≥ RR &lt; 17 mm, the nominal premium paid by farmers to the insurance party is Rp 147,489. Respondents in the study were farmers who owned rice fields. Instrument quality testing (questionnaire) using validity test and reliability test using the help of SPSS statistical software. It can be concluded that the questionnaire is valid and reliable. Based on the results of the questionnaire, farmers considered that the nominal agricultural insurance premiums are in accordance with farmers' income.
Adding Water Path Capabilities to QWAT Databases

The main purpose of this article is to show how to extend an existing open source database, namely QWAT (Acronym from Quantum GIS Water Plugin), by using pgRouting (PostgreSQL routing extension) in order to achieve the ability to find the water flow in a water network.The water path in a water network is a key information needed by any water supplying company for different activities such as customer identification, meter the water flow or isolating areas of the water network.In our environment an open source database was used and that database didn't have any means to identify the water path, so our research is intended into that direction.Once a water path is found, our next goal was to show that identifying customers for a water supplying company is just a click away (by using no directional graphs).Another key information needed by the water supplying companies is to know which valves should be closed in order to shut off the water for an area of the water network.As result, the second purpose of the article is to show how to identify the necessary valves, to be closed or open, in order to shut off or on the water (within the pipe network).
On representations and simulation of conditioned random walks on integer lattices

We consider a random walk on a multidimensional integer lattice with random bounds on local times.We introduce a family of auxiliary accompanying processes that have regenerative structures and play key roles in our analysis.We obtain a number of representations for the distribution of the random walk in terms of similar distributions of the accompanying processes.Based on that, we obtain representations for the conditional distribution of the random walk, conditioned on the event that it hits a high level before its death.Under more restrictive assumptions a representation of such type has been obtained earlier by the same authors in a recent paper published in the Springer series on Progress in Probability, 77 (2021), where a certain limiting process was used in place of accompanying processes of the present paper.
New Feature Engineering Framework for Deep Learning in Financial Fraud Detection

The total losses through online banking in the United Kingdom have increased because fraudulent techniques have progressed and used advanced technology.Using the history transaction data is the limit for discovering various patterns of fraudsters.Autoencoder has a high possibility to discover fraudulent action without considering the unbalanced fraud class data.Although the autoencoder model uses only the majority class data, in our hypothesis, if the original data itself has various feature vectors related to transactions before inputting the data in autoencoder then the performance of the detection model is improved.A new feature engineering framework is built that can create and select effective features for deep learning in remote banking fraud detection.Based on our proposed framework [19], new features have been created using feature engineering methods that select effective features based on their importance.In the experiment, a real-life transaction dataset has been used which was provided by a private bank in Europe and built autoencoder models with three different types of datasets: With original data, with created features and with selected effective features.We also adjusted the threshold values (1 and 4) in the autoencoder and evaluated them with the different types of datasets.The result demonstrates that using the new framework the deep learning models with the selected features are significantly improved than the ones with original data.