Reviewerly/exHarmony huggingface dataset:
SVM ALGORITHM FOR PREDICTING RICE YIELDS

Agriculture in Indonesia is highly dependent on reservoir irrigation water sources and rain. Because some agricultural land in Indonesia is rainfed. Plants in Indonesia rely on water from rain and irrigation. Weather conditions greatly affect the number of farmers' harvest. Farmers often experience crop failures due to changing weather. From data from the Central Statistics Agency, it is stated that the number of rice yields in 2019 decreased by 7.76% compared to 2018. In order to avoid rice imports and rice food shortages, a breakthrough is needed that can help the government in making policies. One of the breakthroughs is creating a rice yield prediction system. The research process consisted of collecting data via the web: https://www.pertanian.go.id/home/?show=page&amp;act=view&amp;id=61. The data shows the variables of province, year, land area, production. The total number of data is 170 rows, with a division of 130 lines for training, and 40 for testing. Furthermore, the data is processed and processed and normalized. The results of data processing are then trained and predicted with a linear SVM kernel. The results of SVM prediction with original data without normalization of MAPE 6635.53%, and RMSE 1094810.74. The results of SVM prediction with normalized data first, the MAPE value was 9427.714%, and RMSE 0.017.
Gamifikasi untuk Pembelajaran

Gamification is a method that is currently slowly but surely starting to be looked at to be developed together with the e-learning Learning Management System (LMS). However, the nature of gamification in learning is still not widely known by many parties. This article will try to explain some important things you need to know to develop Gamification. Some of the things that will be discussed in this article are the definition of gamification, the basic elements of gamification, the types of gamification, and the implementation of Gamification and LMS E-learning.
Time-Series Causality with Missing Data

Over the past years, researchers have proposed various methods to discover causal relationships among time-series data as well as algorithms to fill in missing entries in time-series data. Little to no work has been done in combining the two strategies for the purpose of learning causal relationships using unevenly sampled multivariate time-series data. In this paper, we examine how the causal parameters learnt from unevenly sampled data (with missing entries) deviates from the parameters learnt using the evenly sampled data (without missing entries). However, to obtain the causal relationship from a given time-series requires evenly sampled data, which suggests filling the missing data values before obtaining the causal parameters. Therefore, the proposed method is based on applying a Gaussian Process Regression (GPR) model for missing data recovery, followed by several pairwise Granger causality equations in Vector Autoregssive form to fit the recovered data and obtain the causal parameters. Experimental results show that the causal parameters generated by using GPR data filling offers much lower RMSE than the dummy model (fill with last seen entry) under all missing values percentage, suggesting that GPR data filling can better preserve the causal relationships when compared with dummy data filling, thus should be considered when dealing with unevenly sampled time-series causality learning.
Simulating distributed and global consciousness under spatial grasp paradigm

The interest to what is often called awareness, consciousness, also self-consciousness, has grown enormously in recent years, with many theories and publications trying to explain what this can actually mean and where can be located. The paper is investigating the possibility of using developed and tested in different countries Spatial Grasp model and technology (SGT) for simulation of different ideas and concepts related to global awareness and consciousness in distributed dynamic systems, with potential applications in intelligent system management, industrial development, space research, security, and defense. The main technology component, Spatial Grasp Language (SGL), allows us to obtain powerful and compact spatial solutions of different problems by directly expressing their top semantics while hiding traditional system organization and management routines inside networked implementation. The paper describes in SGL a traditional organization of two opposing swarms, called “chasers” and “targets”, randomly operating in expected area. It then enriches the chasers swarm with global awareness and a sort of migrating consciousness, further strengthened by external super-consciousness capability, which allows it to drastically improve performance and make important nonlocal decisions, while moving to superior position over opposing targets swarm. Despite simplicity of the shown practical example, it gives us hope for the use of SGT for simulation of much broader and complex areas linked with consciousness like, for example, brain's biomolecular processes and basic structure of the universe. The developed networking technology can be implemented even in traditional university environments, as was done in the past for its previous versions in different countries.
Survey and Research Issues in Data Stream Mining

These days, an immense assortment and volume of information is constantly getting created from heterogeneous sources accordingly prompting a huge enthusiasm for the rising field of information stream mining.Information stream mining is where information is extricated from the data accessible in the information streams.There exist numerous applications which require this information for impromptu creation and business needs.Therefore preparing information streams in a proficient way is investigated by the specialists.In this paper, we present a short survey of different strategies accessible for the information stream mining.
Privacy-Preserving Clustering: A New Approach Based on Invariant Order Encryption

Cloud computing is increasingly used.One main use of cloud computing is the running of a machine learning algorithm.Due to the large amount of data required for these algorithms, they can no longer be run on personal computers.Uploading personal data to the cloud automatically raises the issues of confidentiality of this data.In this paper, we show through a series of experiments that an order-preserving encryption algorithm can be applied to guarantee the confidentiality of the input of two well-known clustering algorithms: K-Means and DBSCAN.We show that K-Means can be modified to be applied over the encrypted data.We also proposed a slight improvement to an order-preserving encryption scheme to ensure that it is randomized, therefore increasing its security level.Finally, after studying the performance of clustering algorithms over encrypted data we show a practical application of this idea, namely the color reduction over an encrypted image.
The Effects of Jigsaw, Student Teams Achievement Divisions (Stad), and Think-Pair-Share (Tps) Techniques in Writing Narrative Text

Writing ability at The Second Semester Students in one of Private High School in Pemtangsiantar indicated low enough. The aim of this research is to find out the effect of three cooperative learning techniques, namely, Jigsaw, Students Teams – Achievement Division (STAD) and Think-Pair-Share (TPS). The research design used in this study was quantitative approach with an experimental. The samples were Second Semester Students of STIKOM Tunas Bangsa Pematangsiantar. The data of this research were gained from the score Narrative Text Test that analyzed by using One Way ANNOVA. The research finding showed that (1) Jigsaw Sig. (2-tailed) value is 0.00 &lt; 0.05. STAD Sig. (2-tailed) value is 0.00 &lt; 0.05. TPS Sig. (2-tailed) value is 0.00 &lt; 0.05, it means Jigsaw, STAD and TPS can affect the students ability in writing. (2) The increasing percentage of Jigsaw Teaching Technique to 75%, Students Teams – Achievement Division (STAD) to 68% and Think-Pair-Share (TPS) to 57%. (3) The result of data Analysis by One Way Annova indicate that Significant values is 0.043 which is &lt; 0.05, and Fvalue is 3.305 &gt; T Table 3.16, it means there is one Teaching Technique more significant there the other technique. Here Jigsaw Teaching Technique more Significant than STAD or TPS. In Jigsaw Teaching Technique, The mean difference is significant at the 0.05 level.
Perbaikan Visibilitas pada Citra Berkabut Kawah Gunung Berapi Kelud Menggunakan Color Attenuation Prior

Mount Kelud is one of the volcanoes that erupted in 2014. To observe the activity, CCTV has been installed in the crater peak of Mount Kelud. The crater of Mount Kelud emits gases coming from the bottom of the crater. The gas makes CCTV surveillance undisturbed so that the resulting image will have noise. By using dehazing, visibility can be improved so that the resulting image can be seen clearly. The method used for this operation is Color Attenuation Prior. In the early stages, there is a dark channel process that works to turn low-intensity pixels dark. The second step is to estimate the atmospheric light from the dark channel image. This process is almost in parallel with the estimation of the depth map. The fourth step is estimating the transmission map, which functions to transmit low-intensity pixels to high-intensity pixels. The last one is the radiance recovery scene. The results show that the foggy image is successful, and it eliminates the fog effect, thus enhancing the visibility of the image. And from questionnaire results, we got 80 % positive results from all respondents. Further research so that it can be applied directly or in real-time.
Research on Teaching Reform of Design-Oriented Majors in Colleges and Universities Based on Innovation and Entrepreneurship Education

This paper explored the connotation of the concept by analyzing the significance of teaching reform of design-oriented majors in universities under the background of innovation and entrepreneurship.In addition, according to the current teaching situation of these majors, it found problems from multiple perspectives, based on which the teaching reform strategy is proposed from the perspectives of curriculum system and teaching methods, by taking into consideration of the essential needs of innovation and entrepreneurship education.A construction method is proposed from the perspectives of education resources and practice resources, forming a complete set of teaching reform strategy system of innovation and entrepreneurship in college design-oriented majors.
Pelatihan desain media interaktif pada pembelajaran daring bagi dosen pendidikan biologi

Online learning is a national policy as a strategic step to prevent the spread of the Covid-19 virus. The quality of the learning media used by lecturers is to influence the effectiveness of online learning. Therefore, training is needed to strengthen lecturers' skills in developing interactive media effective in online learning. This community service aims to improve the biology education lecturers' knowledge and skills regarding interactive media design in online learning. Participants of this activity were 27 Lecturers of Biology Education at FSTT Mandalika University of Education. The training activity is carried out in three stages, namely (1) Preparation, (2) Implementation, (3) Reflection / Evaluation. Training activities are held online / webinar on Saturday / 25 July 2020 at 07.00-12.00 WITA with a series of events, namely opening, remarks from the Head of the Biology Education Study Program, delivery of training materials, discussions, conveying impressions and messages. The training activities were carried out well, even though there were some shortcomings. This is supported by the participants' messages at the end of the activity, namely (1) 100% of the training participants gave positive responses such as feeling happy, enthusiastic, enthusiastic, and helped by the holding of this training activity; (2) 75% of participants gave suggestions so that similar training activities could be carried out periodically at the beginning of preparation for each semester. In the end, the participants have the knowledge and skills in designing interactive media in online learning.
Developing Suplementry Speaking Material in Digital Media

The purpose of this research was to develope and validate the suplementary speaking material in digital media for accounting students of SMK Negeri 1 Lubuklinggau. This research used Research and Development Method by applying Borg and Gall Model. There were ten steps, they are (1) research and information collecting (2) planning (3) developing preliminary form of product (4) preliminary field testing (5) main product revision (6) field testing (7) operational product revision (8) operational field testing (9) final product (10) dissemination and implementation.. The subjects were the Accounting students of eleventh grade in academic year 2020/2021. While, for step 6, 8 and 10 were applied by using Google Classroom application in English group of XI Accounting Program. The data showed that there were some problem faced by the students aespecially in finding a speaking book which concerning to accounting program. The teacher also need a book that can help English speaking skill not only for general English. After following the ten steps in R&amp;D method, started from analyzing, evaluating, revising and trying out, it was concluded that the suplementary speaking material in digital media for accounting students can help them in learning English based on their need. It was proven by the average score of questionnaire (4.35) with very good criteria.&#x0D; Keywords: Developing, Supplementary Speaking Materials, Accounting Students
IMPROVING THE PRECISION OF FLOW-SENSITIVE LIFETIME ANALYSIS

Object lifetimes are a common source of bugs in C++ that can cause crashes, unexpected behavior, or even security vulnerabilities. Herb Sutter, the chair of the C++ standard committee proposed a flow-sensitive analysis to catch lifetime errors statically. Sadly, this analysis is prone to false positives unless the author follows some specific guidelines. We developed mitigations to eliminate some classes of false positives to make it easier to write conforming code. The first mitigation fixes a common false positive from a frequently used coding pattern by introducing local path-sensitivity. The second one is a filter based on reaching definitions and dominance algorithms to remove reports that might be the result of analyzing infeasible paths. We tested the effectiveness of the methods on the open source Google Fuchsia project.
Grammar-translation method affects students’ reading comprehension and motivation

In English teaching, teaching methods should be applied in the classroom for the successfulteaching activity. It is believed that the Grammar Translation Method (GTM) is effective forteaching reading comprehension and motivating students. This study investigated the effect ofGTM on students’ reading comprehension and their reading motivation at SMAN 4 PalangkaRaya, Kalimantan Tengah. The study applied a quasi-experimental research design. To beresearch participants, 30 students of the natural science class were as an experiment group,and 30 students of the social science class were as a control group taken with a cluster randomsampling. Data were collected using the reading test and questionnaire. The collected datawere then analyzed using one-way ANOVA with SPSS 20. The results showed that GTM hasa significant effect on students reading comprehension and reading motivation. It was foundthat the degree of freedom between group (DFb) = 2, the degree of freedom within group(DFw) = 87 (Ttable = 1.99), and Fvalue was 37.019. It showed that Fvalue was higher than Ttable (37.019 1.99). It means that Ha was accepted and Ho was rejected.
M-Learning: An Integrative Approach to Increase Student Engagement

&#x0D; &#x0D; &#x0D; M-learning utilizes handheld electronic devices as didactic tools for facilitating learning and teaching within real-time access in the language classroom. Current studies on m-learning suggest that the incorporation of electronic devices can lead to greater student engagement and better performance. Using a questionnaire, 22 professors from the major Bachelor’s in the Teaching of English as a Foreign Language from the Universidad Nacional (Costa Rica) were surveyed about how mobile devices are being implemented in the language classroom.&#x0D; &#x0D; &#x0D;
Legal nature of online courses and issues of their use in educational activities of universities

The article examines the legal issues of using online courses by educational institutions of higher education in the implementation of their educational activities. Currently, the application of online courses in the educational process of higher education organizations is connected with a number of legal issues related to the uncertainty in understanding the legal nature of online courses and the nature of the services that students receive when mastering online courses. Further difficulties are related to the practical difficulties in the design, production, support of online courses, as well as accounting for the results of mastering online courses in the framework of students’ training in the main educational program. The resolution of these legal problems requires a comparison of the concepts of “distance learning technologies”, “e-learning” and “online course”. Also, an analysis of other important issues is necessary, such as a procedure for crediting students’ successful completion of the online course; the possibility of using the results in the framework of education; determining the nature the type of services received by the student as educational or informational; approaches to conducting certification which includes issues of confirming student identity. In addition, the problem of introducing online courses affects the analysis of activities of educational institutions of higher education on the use of online courses of other educational organizations in their educational process. Introducing online courses also affects the study of the characteristics of the relationship between educational organizations and their specific scientific and pedagogical employees who were involved in the development, production, and support of online courses in relation to determining the volume of their workload during an online course, and the use of an image of a scientific and pedagogical employee who took part in the production of an online course as the implementor of one’s own product or that of another person.
Akuarintar as a Media in Arabic Teaching and Learning for Deaf Towards Sustainable Development Goals (SDGS) 2030

Indonesia is a country that is familiar and closely related to Arabic. Therefore, learning this language becomes an important thing. This research was aimed to explain the development process and the validity level of Application of Arabic-Indonesian Expression Dictionary for Deaf (Akuarintar) as a media in Arabic teaching and learning for students at SMALB YPTB Malang. This research and development method used the ADDIE model which included Assessment/Analysis, Design, Development, Implementation, and Evaluation. The results of the validity test were the language validation test showed the proportion of 83%. The results of material validation were 89%, while the results of media design validation were 87%, and the results of teacher validation were 87%. The results of the Wilcoxon Rank Tests analysis obtained a significance value of p = 0.001 and z = -3.453, which means that the students score of Arabic learning significantly increased after using the Akuarintar application. So, it can be concluded that Akuarintar is very suitable as a media for teaching and learning Arabic for the deaf.
Performance Comparison of Data Mining Classifiers on Web Log Data

Web usage mining is the branch of web mining that deals with mining of data over the web. Web mining can be categorized as web content mining, web structure mining, web usage mining. In this paper, we have summarized the web usage mining results executed over the user tool WMOT (web mining optimized tool) based on the WEKA tool that has been used to apply various classification algorithms such as Naïve Bayes, KNN, SVM and tree based algorithms. Authors summarized the results of classification algorithms on WMOT tool and compared the results on the basis of classified instances and identify the algorithms that gives better instances accuracy.
Improved Deep Convolutional Neural Network with Age Augmentation for Facial Emotion Recognition in Social Companion Robotics

Facial emotion recognition (FER) is a critical component for affective computing in social companion robotics. Current FER datasets are not sufficiently age-diversified as they are predominantly adults excluding seniors above fifty years of age which is the target group in long-term care facilities. Data collection from this age group is more challenging due to their privacy concerns and also restrictions under pandemic situations such as COVID-19. We address this issue by using age augmentation which could act as a regularizer and reduce the overfitting of the classifier as well. Our comprehensive experiments show that improving a typical Deep Convolutional Neural Network (CNN) architecture with facial age augmentation improves both the accuracy and standard deviation of the classifier when predicting emotions of diverse age groups including seniors. The proposed framework is a promising step towards improving a participant’s experience and interactions with social companion robots with affective computing.
Multi-resolution perception-optimized image compression based on JPEG2000 and visibility thresholds

The image compression based on visual quality has got great interest over the past two decades. Meanwhile, it usually requires multi-resolution for the image code streams to browse images using electronical device. Recently, the image encoding respective to the above two factors become an attractive research area and gets great practical attractions in large image remote browsing scenarios, such as the pathology telemedicine. In this paper, we propose a visibility threshold model and an encoder based on measured HVS sensitivities and JPEG2000 standard. The proposed encoder can efficiently optimize the code stream on both HVS perception-based quality and display resolution. Moreover, the resulting code streams can be decoded with any JPEG2000 Part-I compliant decoder.
Correction to: Classes of tree-based networks

An amendment to this paper has been published and can be accessed via the original article.
Analisis Respon Guru Sekolah Dasar Pada Live Chat Streaming (Study Refleksi Pelaksanaan Seminar Dalam Jaringan)

The rise of online seminars being held, of course, has advantages and disadvantages. Therefore it needs to be answered in a study. This type of research is a qualitative research method using a survey method. The research variables were the response of elementary school teachers and live chat streaming services. Subjects in this study were elementary school teachers who attended online seminars who were selected using simple random sampling. Data is taken and analyzed from teacher comments on google forms and live chat streaming on YouTube. The survey results show that descriptively elementary school teachers are enthusiastic about participating in online seminars via live chat streaming.