Reviewerly/exHarmony huggingface dataset:
Correlation Among Rainfall, Humidity, and The El Niño-Southern Oscillation (ENSO) Phenomena in Bengkulu City During the Period from 1985-2020

A correlation analysis is needed to see the relations among the three variables, rainfall with El Niño-Southern Oscillation (ENSO) and Humidity with ENSO. The instability of rainfall and the decrease in the humidity in Bengkulu City can be affected by La Nina and El Nino phenomena. This research aimed to analyze the correlations among rainfall, humidity, and ENSO with Pearson correlation analysis. The rainfall and humidity data were collected from BMKG, and the ENSO data were obtained from NOAA PSL for the 1985-2020 period. The results of the correlation analysis of rainfall and ENSO for the last 35 years generally show a moderately strong correlation. However, a strong correlation in the La Nina phase specifically occurred in 1988-1989, 1998-1999, 1999-2000, 2007-2008 and 2010-2011 with values of 58.6, 40.1, 61.4, 96, 4, and 89.2%. Meanwhile, the correlation &gt;80% (very strong) during the El Nino phase occurred in 1987, 1991-1992, 1997, 2015. The correlation analysis results of humidity and ENSO show little correlation in the La Nina phase of &gt;70% (1988-1989, 1998-1999, 2010-2011) and the El Nino phase of &lt;70% (1997, 2015, 2016). The humidity correlations with ENSO do not influence the humidity change in Bengkulu City. The decrease in the humidity in Bengkulu City can be affected by other factors, such as land use change to housing due to population growth in Bengkulu City.
Use of smart technologies in the training of specialists in higher education institutions

Attention is focused on the importance of the use of smart technologies in the training of specialists in institutions of higher education. From the perspective of the educational system, smart society and smart education are presented, which are included in the content of a new type of education, in which the use of smart information technologies is mandatory. The main task of the educational space for smart education is written down - creating a basis for the possibility of realizing the intellectual and creative potential of education seekers. New opportunities for the education system created by smart technologies are described. The advantages of smart technologies and the features of their application in the educational process are listed. The main principles of smart education are highlighted and the components of smart education are listed. Online platforms, online services, portals, and applications, which are presented as smart technology tools within the scope of the study, were identified and divided into the groups of smart store, smart interaction, smart response, and smart trainer.
Analisis Kebutuhan Pembelajaran Siswa di SDN Sindangjaya IV

The purpose of this research is to find out the problems of students' difficulties with digital learning media in elementary schools. The purpose of this study is to find out what students want from digital teaching media. This study uses a descriptive qualitative approach. The purpose of choosing this approach is to determine whether or not digital teaching media is necessary for subjects. Several student representatives became research subjects. The lack of digital teaching media and the need for digital teaching media to support learning are problems that arise in the development of digital teaching media, according to the findings of research conducted in the field. Students can benefit from the availability of digital teaching materials, according to the researchers
Selection of Quality Gemstones Based on Fuzzy Analytical Hierarchy Process

The suggestion in this paper tackles the uncertainty of choosing the best analysis and selection of high-quality gemstones based on multiple specific criteria of quantitative and qualitative nature. In this paper, we use the fuzzy analytic hierarchy process (F-AHP) in order to make the right decision to know the quality of the gemstone. This method is based on an effective algorithm through comparisons between the characteristics of the stones and their weight. F-AHP applies in this work to select one criterion from five criteria (specific gravity, color, clarity, cleavage, and Hardness). From the outcome, we note the hat standard of gem size is not always the best standard as seen by some researchers, and we found that small-sizzled stones are sometimes better effective and more flexible than others. Through this study, we note that the method helps reduce bias in decision-making, and method the comparisons are converted into numerical values that are processed and compared within with hierarchy that is related to the fuzzy logic with the property of uncertainty. All computations are applied by MATLAB language.
Penerapan Model Pembelajaran Picture and Picture pada Siswa Kelas II SDN Rancailat 1 Kabupaten Tangerang

This Picture and Picture learning model is a learning model that uses picture media in the teaching and learning process. Overall, the purpose of this research is to find out and develop active learning in class II students at SDN Rancailat 1 Tangerang Regency by applying the Picture and Picture model. This research is (CAR) or Classroom Action Research. After doing research, it is known that learning using the Picture and Picture learning model goes very well. Judging from the initial conditions, cycle I and cycle II the class average value increased. The class average in the initial conditions of 64.56 increased to 69.56 in cycle I, and increased again to 72.88 in cycle II. Furthermore, the achievement of student graduation increased, as many as 27 students (56.25%) in the initial conditions, increased to 40 students (83.33%) in cycle I, and to 45 students (93.75%) in cycle II.
Collaboration with Cobots in the Contemporary Working Environment

Slovenians like new technologies. However, they hold specific fears that robots will take their working places. Robots represent opportunities for providing service as the population grows old, and robots will be needed to help old people. Especially in fields where workers are scarce, such as healthcare, knowledge of the interaction human-cobot will be needed. Robots have been present in highly supervised and stable environments for decades. Due to extreme progress in robotics, they have moved among people, in less predictable environments, and have a more human-like appearance. The purpose of our paper is to present cases of cobots in Slovenian hospitals. We use qualitative methodology. Results of our desktop research are presented. Our paper researches contemporary management challenges in healthcare. Before, and after the COVID-19 pandemic, the demand for healthcare professionals was a critical challenge as the nursing staff was overburdened. It is hard to fill all the necessary nursing positions in hospitals. The problem seems to be getting even bigger due to the growing trend of the elderly population around the world. In the theoretical part, we present the interaction between human being-robot. In the empirical part, we present three examples of the incorporation of robots in hospitals in Slovenia and expose some of the current challenges, benefits, and difficulties of working with robots.
MANAJEMEN PERPUSTAKAAN SEBAGAI UPAYA MENINGKATKAN MINAT BACA (STUDI DI SD NEGERI 1 BLIMBING KARANGNONGKO KLATEN)

Library very important in educational environment.Library functions and the role of very great in education.Facilities sufficient very helpful a growing a students to make reading interest are.People schools teachers and students are compulsory to get information through reading. This research aims to improve student reading interest in primary schools n 1 blimbing.In the research uses a qualitative methodology where this method is use case studies.The information from the primary data that is the school and the head librarian.Secondary data in form of data report or documentary.Data collection techniques used by interviews with, the observations of the field as well as. documentation. Research indicate that implementation of library management primary school n 1 blimbing can be seen from planning, organizing, actuating library and supervision have good enough.Obstacles ketenagaan who experienced the lack of primary school librarian in the library n 1 blimbing
A Teaching Plan of Korean Lexical Emphasis Expression Using K-POP

Objectives This study aims to analyze vocabulary emphasis using K-POP and find ways to learn about it, reflecting that this expression is also a characteristic of K-POP and that many foreign learners want to learn Korean through K-POP.&#x0D; Methods Since there are various meanings and uses of the Korean lexical emphasis expression, this paper examines the lexical characteristics and analyzes the vocabulary shown in the K-POP lyrics. In addition, an efficient educational plan was suggested by analyzing the error pattern of vocabulary emphasis and revealing the cause of the error based on the results.&#x0D; Results First, there is a problem that learners cannot accurately select infinitives according to the characteristics of each type for negative emphasis expression. Accordingly, there is a need to educate what infinitive is appropriate when the subject is different. Second, it is necessary to educate learners about adverbial emphasis so that they can use appropriate adverbs for each situation. Third, in the case of repeated and derivative emphasized expressions, there are many situations in which the meaning of the vocabulary itself is not known rather than incorrectly written, so education is needed.&#x0D; Conclusions It is necessary to use K-POP in order to efficiently educate Korean vocabulary emphasis. Accordingly, the Korean vocabulary emphasized expressions contained in K-POP were listed, and a teaching and learning model of negative emphasized expressions with many errors was presented.
Analysis of Elementary Textbooks and Learners’ Vocabulary Awareness According to CEFR Levels

Objectives This study aims to specify what to consider when teaching the upper level of the elementary recommended vocabulary.&#x0D; Methods Vocabularies extracted from textbooks reflecting the 2015 curriculum and CEFR textbooks were described levels of EVP to investigate learners’ vocabulary awareness and the aspect of vocabulary being implemented in textbooks was analyzed. Vocabulary awareness survey items were confirmed through a preliminary survey targeting 20 students at Gunsan J elementary school. 27 survey items described by CEFR levels in EVP were analyzed in terms of usage in one type of Korean textbooks. Vocabulary awareness survey was conducted with 116 students of Gunsan J elemenatry school using a google survey.&#x0D; Results 12 vocabularies out of 27 have some usage in textbooks. The vocabulary awareness of the learners for the vocabulary usage described in the textbook was shown high. Although textbooks use only some usages of vocabulary, learners responded that they know other usages as well. Awareness of upper level vocabulary usage, not the CEFR Basic User, was also shown high.&#x0D; Conclusions Vocabulary awareness items that can be used in the classroom should be developed. EVP can be a basis for users to search for and utilize vocabulary usage to develop survey items. Since the results can be interpreted as the CEFR learner’s language proficiency, it can be effective tool for evaluating, analyzing and utilizing the learner’s vocabulary awareness. It is necessary to actively introduce various uses of vocabulary in elementary vocabulary instructions. In many cases, learners knew the usage of upper level's vocabulary usage even if those weren't used in textbook and weren't classified to the elementary recommended in curriculum. Therefore, Efficient vocabulary instruction will be possible, if the recommended vocabulary in the curriculum is used as a guideline, and vocabulary usage is taught in the class based on learners’ vocabulary awareness.
Global and Planet Development Models: Theories, Models, Evaluation, and Vision

The transformation of global development models from industrialization, technocratic, scientific, and information to economic and free trade models are emerging in the globalization era. Fundamentally, theories of development explore reasons for poor countries and their strategies towards development, which rich and poor countries adopt in order to alleviate the poorest. Many thinkers, economists, philosophers, and scientists are unable to confirm the best models for global development models. This paper focuses on analyzing models, theories, and rationales to find out about the global and planet development models. The study period is from 1944 to 2020. Theories of development originate from modernist model, dependency model, and post development model. According to modernization theory, a number of internal barriers are the reasons why ‘third world’ countries are poor. Dependent theory states that poverty in developing countries is due to a 400-year history of colonialism and slavery. World systems theory argues that countries are underdeveloped due to history of extractive institutions. Neoliberalism philosophy, as a path of development, involves free trade, less government interference, and fewer restrictions on business. As per post development theory principles, development must have social justice, inclusivity, and sustainability. UN model for sustainable development is achieving economic and social development without environmental damage. Globalization theory is a process whereby the world becomes more interconnected. The role and models of international organizations adopted for global development are TNC’s western capitalist-industrialist development model, WTO facilitating free trade based on US-led capitalist model, World Bank funds development in poor countries and adopted neo-liberalism model in third world countries, IMF- global sustainable economic growth and stability model, and UNO-Worldwide cooperation and coordination model to solve international economic, social, cultural, and humanitarian problems. Although man journeys to planets because of abundant economic resources floating up in space, Mars's colonization interest is because of its similarities to earth. The moon industrialization rationality comprises of building materials, water, fuel, oxygen, and other useful resources. The results show planet development model such as planet agriculture model, space economy model, colonization of mars and industrialization of moon, and global multilateral initiations. The UN, World Bank, IMF, WTO, and TNCs should also use the prophecy of “Think Universally and Act regionally and locally”. The future global and planet development model includes transformation from industrialization, technocratic, scientific, free trade, information, and economic models to knowledge intensive, space economy (network and solar energy), mars colonization, and moon industrialization which are the new future models.
Multi-Source Heterogeneous Kernel Mapping in Software Defect Prediction

Heterogeneous defect prediction (HDP) is a significant research topic in cross-project defect prediction (CPDP), due to the inconsistency of metrics used between source and target projects. While most HDP methods aim to improve the performance of models trained on data from one source project, few studies have investigated how the number of source projects affects predictive performance. In this paper, we propose a new multi-source heterogeneous kernel mapping (MSHKM) algorithm to analyze the effects of different numbers of source projects on prediction results. First, we introduce two strategies based on MSHKM for multi-source HDP. To determine the impact of the number of source projects on the predictive performance of the model, we regularly vary the number of source projects in each strategy. Then, we compare the proposed MSHKM with state-of-the-art HDP methods and within-project defect prediction (WPDP) methods, in terms of three common performance measures, using 28 data sets from five widely used projects. Our results demonstrate that, (1) in the multi-source HDP scenario, strategy 2 outperforms strategy 1; (2) for MSHKM, a lower number of source projects leads to better results and performance under strategy 1, while n = 4 is the optimal number under strategy 2; (3) MSHKM performs better than related state-of-the-art HDP methods; and (4) MSHKM outperforms WPDP. In summary, our proposed MSHKM algorithm provides a promising solution for heterogeneous cross-project defect prediction, and our findings suggest that the number of source projects should be carefully selected to achieve optimal predictive performance.
Application of Letter Card Media in Improving Students' Reading Ability

The study's overarching goal was to ascertain whether or not the use of Letter Cards had any effect on the development of beginning readers in Class II at SDN 01 Duhiadaa in the Duhiadaa District of the Pohuwato Regency. This study employed an action research strategy in the classroom, with 16 students from a second-year high school serving as participants. Planning, implementation, observation, and reflection were the four stages of each study cycle. Students' early reading proficiency in Indonesian topics remains inadequate, according to this study. This is evidenced by students' initially poor reading abilities, which reached 25% in the fewer categories at the time of initial observation, then improved to 56.2% in the sufficient category at the end of the first cycle and then increased to 100% in the very good category at the end of the second cycle. Class II pupils at SDN 01 Duhiadaa in the Duhiadaa District of the Pohuwato Regency can benefit from using letter cards as a form of learning media to advance their early reading skills. Meeting III of Cycle II was called to a close since it had achieved the predetermined performance indicators, in this case 80% of the goals set at the beginning of the cycle.
SISTEM INFORMASI SEKOLAH BERBASIS CLOUD PADA DINAS PENDIDIKAN KABUPATEN HUMBANG HASUNDUTAN

The development of science and technology is currently growing so rapidly. All of it is developed with the aim of providing convenience for humans in carrying out their duties and interests. Good utilization of technology will be able to help various kinds of work activities including learning activities. In terms of data storage, currently we still use physical storage media such as hard drives and flash drives to store and share files. Because of the large amount of school data that will be managed, it is necessary to use media for data retrieval and data storage that can be used anytime and anywhere when needed and has maximum storage with the use of relatively cheaper costs. The solution to the above needs is a cloud computing-based school information system design that is used to input school data, student data, teacher data and educational activities and is able to produce the information needed by the education office. Designing a school information system using cloud computing has many benefits. The benefits that can be obtained through cloud system-based technology such as cost savings, easy access to data because all data is stored on a server centrally, and also better data security.
Secured E-voting System using Blockchain Technology

Abstract: The emergence of blockchain technology has paved the way for the development of secured e-voting systems that are transparent, immutable, and tamper-proof. In this survey report, we examine the current trends and future prospects of using blockchain technology for e-voting. We begin by exploring the key features of blockchain technology, including distributed ledger, cryptographic security, and decentralized consensus mechanisms. Next, we discuss the benefits of using blockchain technology for e-voting, including voter anonymity, transparent voting process, and immutable voting records. To gain a better understanding of the current state of the field, we conducted a survey of recent literature on blockchain-based e-voting systems. The survey covers research articles, white papers, and conference proceedings published in the last five years. We analyzed the data using statistical software and present our findings on the most commonly used consensus algorithms, cryptographic techniques, and blockchain architectures in e-voting systems. Our survey also highlights the challenges facing the adoption of blockchain-based e-voting systems, including scalability, usability, and regulatory issues. We conclude by discussing the future prospects of blockchain-based e-voting systems and identifying the areas that require further research and development. Overall, this survey report provides valuable insights into the current trends and future prospects of using blockchain technology for e-voting, and will be useful for researchers, policymakers, and practitioners working in this field.
IMPLEMENTATION OF DECISION TREE AND SUPPORT VECTOR MACHINE ON RAISIN SEED CLASSIFICATION

In everyday life there are many complex and global problems, especially in terms of decision making. Machine learning (ML) which is built from the concepts of computer science statistics and mathematics can automatically solve problems without guidance from ordinary users. Decision tree (DT) and support vector machine (SVM) are two supervised learning methods among several classification algorithms in ML. Both algorithms are the most popular classification techniques due to their ability to change a complex decision-making process into a simple process. In this study, the accuracy of the DT and SVM algorithms is studied on classifying raisin seeds into the Besni class and the Kecimen class based on existing features. The raisin data are divided into training and testing data, and the evaluation of the two methods is done using the testing data. The results of the evaluation are compared based on the accuracy, sensitivity, specificity, and kappa levels of the DT and SVM algorithms. The results on classifying raisin seeds data show that the SVM algorithm is superior to DT, therefor the number of positive observations is more precise in the prediction.
Authenticating q-Gram-Based Similarity Search Results for Outsourced String Databases

Approximate string searches have been widely applied in many fields, such as bioinformatics, text retrieval, search engines, and location-based services (LBS). However, the approximate string search results from third-party servers may be incorrect due to the possibility of malicious third parties or compromised servers. In this paper, we design an authenticated index structure (AIS) for string databases, which is based on the Merkle hash tree (MHT) method and the q-gram inverted index. Our AIS can facilitate verification object (VO) construction for approximate string searches with edit distance thresholds. We design an efficient algorithm named GS2 for VO construction at the server side and search result verification at the user side. We also introduce an optimization method called GS2-opt that can reduce VO size dramatically. Finally, we conduct extensive experiments on real datasets to show that our proposed methods are efficient and promising.