Reviewerly/exHarmony huggingface dataset:
Penerapan Data Mining Algoritma C4.5 Terhadap Prediksi Faktor Menurunnya Hasil Panen Padi

The aim of the study was to predict the factors causing the decline in rice yields. By knowing the factors of declining rice yields, business owners can further evaluate the causes of declining rice yields and then look for solutions on how to overcome them. The method used in this study is the C4.5 Algorithm, the source of the data used is primary data obtained by direct interviews with rice mill owners and farmers in Siborna Village, Kec. Panei Kab. Simalungun Prov. North Sumatra. The variables used include (1) Pests, (2) Rice Grains, (3) Leaf Color, (4) Planting Month and (5) Planting Method. The results obtained 8 rules for the classification of factors causing the decline in rice yields with 3 increasing decision rules and 5 decreasing decision rules with an accuracy rate of 93.33%. It can be concluded that the predictor of the decline in rice yields is based on the connectedness of the Attributes of Planting Month, Pests, Rice Grains, Leaf Color and Planting Methods.
Featured Cover

The cover image is based on the Special Issue Article Self-learning-based optimal tracking control of an unmanned surface vehicle with pose and velocity constraints by Ning Wang et al., https://doi.org/10.1002/rnc.5978.
Controle de trajetória do quadrotor AR.Drone 2.0 via abordagens LQR e H_infinito

This article presents an experimental study of two control techniques based on the Optimal Control theory, applied to an unmanned aerial vehicle (UAV). The first technique, based on the quadratic cost function, is the LQR controller. The second technique optimizes the norm H_infinito taking into account the pole allocation and using an approach based on LMIs. The test platform used is the quadrotor AR.Drone 2.0 and the algorithms are implemented in the Robot Operating System (ROS).
Revealing the Web of Cloud Computing

At an unparalleled rate, cloud computing has concurrently empowered the industries, governments, and corporations, besides causing new security concerns. The advancement in the model of cloud service brings more powerful enterprise-supporting technology than it has ever been. The transformation from conventional client/server models to service-based models changes the way the technological departments experienced, developed, and delivered computer technology and applications. Nevertheless, additional security challenges have also been spawned by the increased value provided by cloud computing developments, which include threat concerns whose full ramifications are still growing. This chapter fills a major gap by offering useful market insight into the cloud’s current risks, threats, and vulnerabilities. It includes other factors such as actors, risks, vulnerabilities, and impacts from real-world attacks and breaches. It intends to make knowledgeable risk-controlling decisions about cloud adoption strategies with more technical details dealing with architecture, compliance, risks, and mitigations. Also, this chapter addresses the limitations of the narratives and case studies identified, which provides a clear understanding of exactly how lessons and mitigation concepts can be applied in real-world scenarios.
Factorization Patterns in F&lt;sub&gt;&lt;i&gt;q&lt;/i&gt;&lt;/sub&gt; [&lt;i&gt;x&lt;/i&gt;]

The finite field q  has q elements, where belongs to a given template.Software to facilitate the investigation of various cases is available upon request from the authors.
Networking Security Incitements in Cloud Computing

In the past, packages will run on machine and the information is saved in computer through computing. As a result, normal computing is machine-centric. Cloud computing is a well-developed model of the laptop industry, in which computing is confined to a network of computers. Consequently, the records are stored in sets of servers that can be accessed through Internet by making cloud storage a document repository. According to the community of requests to accept the library of common configurable registered attributes, these attributes can be quickly set and loosened through light operations or in collaboration with professional cooperative vendors,” as quoted by the National Institute of Standards and Technology. The guarantee of distributed computing is an asset partaking in an attachment as well as a play model that drastically works on foundation arranging. The convenience and cost adequacy of this model are its two fundamental benefits. While there are still concerns about security and vendor lock-in, this model has lot of advantages. This chapter delves into some of the fundamentals of cloud computing, including forms of cloud computing, services, challenges, and security concerns.
DEVELOPING A BILINGUAL BOOK “PONTIANAK CITY HIGHLIGHT” FOR AN EXTENSIVE READING PROGRAM

Reading is often perceived as a key activity for helping students learn a new language, not only in the first language but also in the foreign language. Unfortunately, some surveys report that Indonesian people have a low reading habit. Thus, this research develops a reading book which is visually interesting, easy in level, and not too long. The research followed the extensive reading framework as it was said capable of maintaining student’s motivation in reading. This research also adopted bilingualism principles and was packed with local-related topics such as tourism destinations in Pontianak City. ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model was chosen as the main methodology because it was believed as the most popular and has been used extensively in R&amp;D research. However, due to time and word count limitations, the current paper only discusses the first three steps of the ADDIE model. Results of the research confirmed earlier reports having documented the participant’s low level of reading motivation. Such a claim was derived from data related to the reading duration and the quantity of books that the students read. Besides, their English competence was also lacking, so a bilingual book might be preferred. The students also revealed that they barely found an English language book containing local culture information. This information then became a starting point for the researcher in designing the reading book. The information allowed the researcher to determine the book content, the vocabulary levels, the length, and its visual appearance.
Calligraphy crafts made from waste: A case study on Sawdust

The problem raised in this study is wood waste from the wood industry.This industry produces building accessories such as doors, windows, and frames that are considered very useless and has a bad impact on the environment.Calligraphy craftsmen see an opportunity from this wood waste.Through the creativity of craftsmen, wood waste can be used as a craft that has a sale value.They chose sawdust as a material for making calligraphy crafts.This study aims to know how calligraphy craftsmen take advantage of furniture industry waste, namely sawdust, in order to increase the selling value so that it has an impact on increasing their economy.Through the method of the qualitative approach with a comparative method, it can be traced how the process of increasing the sale value of crafts made from sawdust by craftsmen is found in two techniques of making: molding and sticking.Both can increase the sale value of wood waste with multiple benefits.The results of the comparison show that the molding technique is more profitable in time, process, and cost.
iTrace: When IOTA Meets COVID-19 Contact Tracing

During the COVID-19 pandemic, humanity is at war with nature, which destroyed the economy globally, people have faced unmatched lockdowns, thereby resulting in an unprecedented disaster, and extraordinary situation for health service providers. Recently, the announcement of vaccines has given hope to humanity, which is time consuming. Social distancing is considered an effective solution for reducing infection, but cannot prevent the spread of infection. This is where the idea of contact tracing came into being. Another control that helps is the digital contact-tracing technique that can be achieved through smartphone applications for tracing COVID patients and alerting others through notifications. In this article, we propose a framework named iTrace that uses IOTA, which provides security, global accessibility, the privacy of individuals, and minimum resource utilization. This makes it an efficient contact-tracing technique that covers most areas and can be helpful to control the circumstances of the COVID-19 pandemic.
Inconsistency in Information Resources of Modern Education

The article investigates the problem of the ambiguous influence of modern information technologies on education. The authors analyse not only the positive effects of computerisation. They also identify the problems faced by the subjects of the educational process under the influence of digitalisa-tion. As outlined in the article, uncontrolled information flows prevent stu-dents from forming the holistic worldview. The dominance of information technologies in education also leads to the transformation of subject-object relations in the process of cognition. The teacher, whose role is changed sig-nificantly, acts more frequently as a coordinator. The usage of gadgets in the educational process provides an opportunity to receive an education at a dis-tance. However, the widespread use of distance learning technologies leads to a decline in the quality of educational services. This resulted from the need to develop new methods. In addition, the constant updating of infor-mation technologies does not allow the teacher to develop a sustainable methodology for teaching their subject. The authors prove that the active use of digital technologies in the information society implies the harmonious combination of traditional and modern information technologies. This fully applies to the modern Russian education system, which is in an intermediate state between traditional pedagogical methods and modern computer tech-nologies. As the authors point out, the problem is to find the optimal educa-tional option for the formation of a harmonious global-regional educational system. It should not only include all the advantages of the latest information technologies, but also preserve all the positive achievements of great practi-tioner-teachers and scientists.
DEVELOPING THE INTERACTIVE MAGIC AR BOOKS WITH GAMIFICATION FOR PROMOTE STORY BOOK

Children today tend to be more interested in playing with mobile phones than reading storybooks. The Interesting fairy tales from legends and traditional children's stories tend to be in the form of storybooks. And parents in the past often read fairy tales to their children. However, in modern times, each of them is busy with their mobile phone. Therefore, there is a need for a solution so children can be interested in reading fairy tale books without reducing the pleasure of playing games. The purpose of this research is to develop more interactive storybooks with Augmented Reality technology. The research method used is experimental research which starts from collecting data on needs through questionnaires and interviews with related parties, then analyzes and designs and manufactures prototypes which will be evaluated by usability testing and heuristic evaluation. From previous research, Augmented Reality technology has been widely applied in learning material. in schools and universities and also applied to the introduction of museums. From the storybooks themselves, there are already some who have implemented Augmented Reality or Gamification in applications. However, there is still no interaction between the user and the storybook. Therefore, this study develops an AR BOOK application where users can read storybooks while playing with Augmented Reality technology. The evaluation results show that the AR Book application can attract users to read stories from the application and users are entertained by this AR Book application. So it can be concluded that the addition of Augmented Reality and Gamification technology can attract the attention of users to read storybooks in a different way. For further development, traditional stories can be developed so that they can be better known by the younger generation.
Alexa, M.D.

In the health-care field, intelligent personal assistants (IPAs) are commonly used as diagnostic guides for health-care professionals or support for patients. This article expands the use of IPAs in health care by demonstrating using Alexa to train health-care personnel.
Utilization of Remote Sensing Technology for Flood Distribution in Palembang City Web-based

Construction that continues to be carried out in the city of Palembang, will result in changes to existing land use, more and more swamp areas are stockpiled to build buildings on them, this can certainly have an impact on the reduction of water catchment areas, with the result that when it rains it frequently results in inundation of water in several areas in Palembang City.In the development plan carried out certainly information is needed on flood-prone areas that are spread throughout the city of Palembang, so that a web that can be accessed easily by everyone who needs data on flood distribution areas is needed.The flood distribution map is classified based on interpretation results using remote sensing methods, namely towards inundation, land cover, land slope and rainfall.From the results of the analysis, there are 5 classifications of flood vulnerability levels in the city of Palembang namely a very high level of vulnerability of 16.88 km 2 , a high level of vulnerability of 888.53 km 2 , medium vulnerability of 110.03 km 2 , a low level of vulnerability of 92.73 km 2 and not vulnerability of 58.39 km 2 .Furthermore, the flood distribution map is entered into the flood distribution website which has been designed based on the flood distribution in Palembang City.
An interpretable framework to discover the medical decision rules of the length of ICU stay for patients undergoing craniotomy based on electronic medical records (Preprint)

<sec> <title>BACKGROUND</title> Craniotomy is a kind of operation with great trauma and many complications, and patients undergoing craniotomy should enter the ICU for monitoring and treatment. Based on the electronic medical records (EMR), the discovery of high-risk multi-biomarkers rather than a single biomarker that may affect the length of ICU stay (LoICUS) can provide better decision-making or intervention suggestions for clinicians in ICU to reduce the high medical expenses of these patients and the medical burden as much as possible. The multi-biomarkers or medical decision rules can be discovered according to some interpretable predictive models such as ensembling methods. </sec> <sec> <title>OBJECTIVE</title> Our study aims to develop an interpretable framework based on the real-world EMRs to predict the LoICUS and discover some high-risk medical rules of patients undergoing craniotomy. </sec> <sec> <title>METHODS</title> The EMR data sets of patients undergoing craniotomy in ICU are separated into pre-operative features and post-operative features. The paper proposes a framework called Rules-TabNet (RTN) based on the data sets. It is a rule-based classification model and the high-risk medical rules can be discovered from RTN, and a risk analysis process is implemented to validate the rules discovered by RTN. </sec> <sec> <title>RESULTS</title> The performance of post-operative model is significantly better than that of pre-operative model. The post-operative RTN model has the best performance compared with other baseline models, and it achieves 0.93 accuracy and 0.98 AUC for the task. Seventeen key decision rules that may have impact on the LoICUS of patients undergoing craniotomy are discovered and validated by our framework. </sec> <sec> <title>CONCLUSIONS</title> The proposed post-operative RTN model in our framework can precisely predict whether the patients undergoing craniotomy are hospitalized for too long (more than 12 days) in ICU. We also discover and validate some key medical decision rules from our framework. </sec>
Social Inequalities and ICT Teacher’s In-Service Training

The purpose of this paper is to present the teachers’ views about their in-service training in ICT. This research is part of a more general research aimed at exploring the educational needs of teachers and the application of ICT in the education system and their impact on the teaching, learning and cognitive process. The sample of this research consists of 162 teachers working in primary schools in Northern Greece. Of these, 70 (43.2%) were men and 92 (56.8%) were women. The results of the research show that teachers emphasize the functioning of the institution of education in ICT as a tool for implementing educational policy of the dominant social groups, but also their reflection on European education policy. They also express the need for continuing education, while differing in its role in removing educational inequalities.
Feature Extraction Using Observer Gaze Distributions for Gender Recognition

We determine and use the gaze distribution of observers viewing images of subjects for gender recognition. In general, people look at informative regions when determining the gender of subjects in images. Based on this observation, we hypothesize that the regions corresponding to the concentration of the observer gaze distributions contain discriminative features for gender recognition. We generate the gaze distribution from observers while they perform the task of manually recognizing gender from subject images. Next, our gaze-guided feature extraction assigns high weights to the regions corresponding to clusters in the gaze distribution, thereby selecting discriminative features. Experimental results show that the observers mainly focused on the head region, not the entire body. Furthermore, we demonstrate that the gaze-guided feature extraction significantly improves the accuracy of gender recognition.
raining skill of constructing rubric in assessment to Biological student teachers

Currently, Biology Curriculum in New Educational Program (2018), which is a competency-based orientation program, requires assessing students’ competencies development by using a range of assessment methods, techniques and tools. Therefore, student teacher need to learn how to construct and use types of competency-based assessment tools (including rubrics) before they graduate and begin to teach. This article shows the procedure by which education students can learn how to construct rubrics for assessment in teaching Biology in high schools.
Implementation of The AHP And MOORA Methods For Admission Selection of Stmik Lecturers Syaikh Zainuddin NW

STMIK Syaikh Zainuddin NW Anjani always strives to improve quality or internal quality sustainably as a strategy to be able to compete with other universities. The institution itself realizes that to achieve educational goals and maintain the quality of education and produce good outputs, it requires commitment, strategies, appropriate methods, and adequate human resources in the process of achieving it. One way to improve the quality of a university is to select teaching staff or lecturers because the quality of lecturers will greatly determine the high and low quality of a university. Based on the problems that arise, a decision support system is needed that can handle the influence relationship between parameters for the selection process for lecturer acceptance. In this study, the Analytical Hierarchy Process (AHP) method and the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method were used to determine alternative priorities for prospective lecturers. The AHP method is used to determine the weight of the criteria, sub-criteria, and scoring data, while the MOORA method is used to calculate the final score and ranking.
EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters

Edge computing has emerged as a promising line of research for processing large-scale data and providing low-latency services. Unfortunately, deploying deep neural networks (DNNs) on resource-limited edge devices presents unacceptable latency, hindering artificial intelligence from empowering edge devices. Prior solutions attempted to address this issue by offloading workload to the remote cloud. However, the cloud-assisted approach ignores that devices in the edge environment tend to exist as clusters. In this paper, we propose EdgeSP, a scalable multi-device parallel DNN inference framework that maximizes resource utilization of heterogeneous edge device clusters. We design a multiple fused-layer blocks parallelization strategy to reduce inter-device communication during parallel inference. Further, we add early exit branches to DNNs, empowering the device to trade-off latency and accuracy for a variety of sophisticated tasks. Experimental results show that EdgeSP enables inference latency acceleration of $$2.3\times -3.7\times $$ for DNN inference tasks of various scales and outperforms the existing naive parallel inference method. Additionally, EdgeSP can provide high accuracy inference services under various latency requirements.
Can Crypto Fix Itself in Time?

Payment methods have a high degree of inertia making change slow and challenging for new alternatives. So, it is not surprising that crypto currencies based on public blockchains are not broadly used 13 years after Bitcoin launched. The future of the largest public blockchains is limited, however, because they cannot, as is now widely acknowledged, provide stable currencies or operate efficient payment systems and other transactional services at scale. Their ability to correct these problems is impeded by the fact that they serve several masters—decentralization of authority in particular—and are not as nimble at making hard pivots as traditional startups given their consensus-based governance. Established public blockchains may solve these problems but that will take time; new faster public blockchains are entering but must attract capital and labor, which takes time too. Meanwhile payments and financial services are not standing still. Real-time payment methods, mobile money platforms, non-crypto FinTechs, and private permissioned blockchains are developing innovative payment and financial services. In the end it is race, probably over a decade or more, to see who prevails in this competition. Could crypto fix itself in time to win this race? That is possible but far from sure. For those concerned about systemic risks, the public blockchains, and their applications, given the plausible pace of adoption, are less alarming than they may appear from the current hype and valuations. There may be sound reasons to consider regulations but there is no reason to panic. The same is true for businesses concerned about missing out on an opportunity. There is likely time to evaluate the best technologies and business models for innovations in payments and financial services.