Reviewerly/exHarmony huggingface dataset:
Analysis of Domestic Wastewater Management Systems in Low Income Residential Areas

Statistically, access to proper sanitation in Muara Enim Regency reaches 90.75% in 2018, but it needs to be ascertained whether it is safe in the context of no latrine leak that can pollute the environment, especially in areas with the lowest level of population welfare. Muara Lawai village is the village that has the highest number of poor and near poor people and villages with status as underdevelop village in Muara Enim District. Based on an analysis of existing conditions, the facilities for wastewater sanitation infrastructure used by low-income communities (MBR) and non-MBR in Muara Lawai Village were found to be still not feasible and safe. Efforts to provide adequate and safe sanitation infrastructure that can be implemented in Muara Lawai Village are a off-site domestic settlement wastewater system with initial service coverage for 41 households or 205 people. total wastewater generation (Q r ) 16.40 m 3 / day with peak discharge (Q peak ) of 54.82 m 3 / day, minimum discharge (Q min ) 2.33 m 3 / day and infiltration discharge (Q inf ) 12.96 m 3 / day, so the design discharge is obtained at 67.78 m 3 / day. Calculation results in the service sub-system required a special PVC waste pipe with a roughness value (manning) of 0.012 with details of house connections pipe size 4"along 212.1 m, service pipe size 6" along 178.8 m and main pipe size 8"along 220.7 m. The need for control tubs is 31 units installed at each pipe meeting with a size of 50 x 50 x 50 cm. In the processing sub-system (WWTP building), the processing technology used is anaerobic biofilter with the overall dimensions of the WWTP building of 7.5 x 2.0 x 2.5 m.
Persespsi Guru Terhadap Media Pop-Up Book Pada Materi Bangun Ruang Kelas V SDN Tanjungsari

This research is a qualitative study aimed to describe the teacher's perception of pop-up book media when applied to the material building space in the V grade elementary school. The research method of using qualitative descriptive with the research data source is the teacher of grade V in elementary school Tanjungsari, namely VA and VB. The data collection techniques used are online interviews through the WhatsApp app. Data analysis techniques using the technical of Miles and Huberman are data reduction, data presentation, and withdrawal of conclusions. The result of this study raises positive perceptions of class V teachers. The Media pop-up book is interesting to apply to material solid figure in class V, seeing students who are always interested in new things, because this media has not been used, so that the media pop-up book is very good to be applied in class V, in order to support the creativity of students, so that students will be happy and think critically in the process of learning math material solid figure.
Applying Hopfield Neural Networks To Solve CSP Problems

The article reviews methods based on the Hopfield neural network for solving CSP and FCSP problems.The first attempt to apply this type of neural network to solving the CSP problem was made by Hopfield himself, after which a number of modifications of the original algorithm took place.That is, all the methods presented in the article are modifications of each other and have developed consistently.Some characteristics of Hopfield network-based methods in comparison with other (non-neural network-based) algorithms and CSP solutions are also given.In the field of artificial intelligence, there is a class of combinatorial problems called CSP problems (Constraint satisfaction Problems).They are a powerful tool for solving practical problems that can be designed for many variables that are bound together by constraints.
A Novel Approach to Comparative Analysis and Performance Evaluation of Energy Aware Multi-Layered Job Scheduling in Heterogeneous Cloud

One of the latest apt platform in today's trending technological scenario for imparting application based utilities and services rendered by various distributed resources situated remotely is the Cloud Computing paradigm.The routine task operations and services involve efficient energy utilization with minimum dissipation via load balancing and process allocation.A heuristics defined approach has been implemented in this research work for execution of task scheduling activities with optimal resource sharing.Here a robust scheduling technique is used by the scheduler in the heterogeneous cloud network for mapping the available resources to execute scalable tasks optimally.The research area takes into consideration various performance based parameters like Make-Span, Throughput, Average Response Time (ART) etc. for analysis and comparison with the standard scheduling procedures.There was a large energy loss using the previous scheduling and load balancing standard algorithms in reference to the above mentioned parameters.Hence a algorithm named Energy Efficient Multi layered Scheduling (EEMLS) is proposed that outperforms the earlier algorithms in common practice; viz.Max-Min, Round Robin, Opportunistic Load Balancing (OLB), Artificial Bee Colony (ABC) and Minimum Completion Time (MCT) by containing the energy loss considerably during the process work flow of task execution.The entire scenario is best implemented in cloud environment using the Cloudsim simulator for obtaining the results to show better performance with energy saving.
Neural Networks in Statistical Analysis and Monitoring System Telecommunication Network

A promising approach to organizing the processing of implicit forms of knowledge representation has been developed, which is based on the use of neural network structures technology.It is proved that neural networks and their analog models can be successfully used to solve the problem of approximating continuous functions of many variables and predicting processes occurring in telecommunications networks over time.In recent years, there has been a significant increase in interest in research on the application of applied intelligent technologies, their development and implementation in the industrial and industrial spheres.Today, we can talk about the formation of a new scientific direction -the theory of integrated management of complex distributed communication networks.Currently, fundamental and applied work on the creation of intelligent control systems is actively carried out in many branches of technology.This was facilitated by a long period of theoretical research in the field of artificial intelligence theory, situational management and simulation modeling.
IMPROVING OBSERVATION REPORT TEXT WRITING SKILLS THROUGH THE IMPLEMENTATION OF PROBLEM-BASED LEARNING MODEL USING POWTOON APPLICATION IN JUNIOR HIGH SCHOOL

The skill of writing observation report text is one of the skills that need to be mastered by class X high school students. Based on the results of observations and interviews with Indonesian language subject teachers at Arjasa Junior High School, there is a problem in the process of writing observation report text. Students have d ifficulties in starting and developing ideas, have errors in applying linguistic rules, and difficulties in compiling a text framework for the observation report. This is indicated by the low-level of difficulty in learning to write the text of the observation report: only 7 students whose grades have reached the standard grade Standard Score, 28 students do not complete. To improve the writing skills of the observation report text, it is necessary to take action by applying the Problem Based Learning (PBL) model combined with the powtoon application media. The research design used was CAR (Classroom Action Research) which consisted of two cycles starting from planning, action, observation, reflection, re-planning, action, observation, and reflection. The method used to get data is through questionnaires, interviews, observations, tests, and documentation. The results showed that student learning outcomes increased from cycle I to cycle II, namely by 45.7% or as many as 16 students who reached the standard grade increased to 80% or as many as 28 students in cycle II. Based on the results obtained, it can be concluded that the application of the PBL model with the powtoon application media can improve students' skills in writing observation report text in class X IPA 4 Arjasa Junior High School.
Perception of Recipients of Agricultural Science Education of Agriculture and Agribusiness: A Survey

Effort of government at all levels to transform agricultural sector in Nigeria and diversify the economy from oil required that Nigeria educated youth should be persuaded to take active roles in the process. As youth have latent potential to overcome some major constraints to improving agricultural productivity. Major step in this direction is to encourage and support graduates of agriculture and related fields to take up career in agribusiness. On these premises this paper examined willingness of students of vocational agricultural education in colleges of education to take up career in agricultural-entrepreneurship. Questionnaires were given to 76 final year students in the department of Agricultural Science Education, The College of Education, Lanlate. The findings revealed that respondents have positive perceptions of agriculture and agribusiness and showed strong willingness to find their opportunity to contribute as leaders and participants in agricultural sector. Major challenges to willingness to actively participate in agribusiness were found to be limited-access to capital, land, agribusiness information and extension services, risk of uncertainty in agriculture, and high cost of inputs. The paper recommended strengthening of extension services and out of school agricultural knowledge, improve access to capital, land and information on government support and reinvigoration of agricultural-entrepreneurship education to make it relevant to needs of the recipients and address emerging challenges in agricultural sector.
THE CIRCUMLOCUTION FOR EFFECTIVE ENGLISH COMMUNICATIONS IN THE LEARNERS’S DAILY INTERACTIONS

The current study is aimed to find out the circumlocution especially the kinds and roles of circumlocution used by language learners in their daily interaction. In this research activity, the researcher apply the descriptive qualitative as a research tradition and based on the theory of circumlocution proposed by Arteaga &amp; Llorente (2012). The researcher analyze the gained data with five steps, those were reading the segmented utterances, identifying the utterances, categorizing the utterances that contain circumlocution, tabulating the result of the utterances, and interpreting the findings. In the findings, the researcher found that there are four kinds of circumlocution used by the learners and those were paraphrase, gestures, demonstrate, and switch the code. Paraphrase and gestures are dominant (33,35%), followed by demonstrate (26,68%) and switch the code (6,67%). Alongside the kinds of circumlocution, the researcher also found two roles of circumlocution that were elaborations (15,43%) and confident (26,66%). From the data, the researcher concludes that language learners interact effectively and feel confident by applying paraphrase and gestures.
APPROACH OF IMAGE PROCESSING IN DIAGNOSIS AND MEDICATION OF FUNGAL INFECTIONS IN PET ANIMALS

The focus of this paper is to design and develop the Artificial Intelligence and Machine Learning based system which detects the fungal infection on a pet animal (especially Dog and Cat), and provide the treatment for it.It also provides the causes, Symptoms, Prevention for it.The proposed system integrates on Machine Learning algorithm trained on disease dataset, it first detects the species of pet animal by capturing the image of fungal infection of pet by using camera or by uploading the image in the system from the file explorer, and then provide the diagnosis about the fungal disease and its medication and treatment also.Although our system will verify the scan image for determining the diseases in canine.Diagnosing the Fungal Infection on pet animal quickly and accurately has the economic effectiveness.
Kinerja sistem informasi pengelolaan keuangan aerah (SIPKD) di BLUD RSUD Meuraxa

Background:The implementation of regional financial management information system contributes to productivity and performance measurement and also the improvement of report quality.By using the system, the decision-making can be conducted effectively and efficiently.Moreover, this system is directly connected to Banda Aceh Government and Central Government Objective: To explore of Regional Financial Management Information System at Meuraxa Hospital Banda Aceh Methods: This study involves 7 people consisting of direct and indirect users.The data collection is performed by conducting comprehensive interview, observation, and document analysis. Result:The research results show that the system plays an important role and is accurate in reporting, either weekly, monthly, or the end of year report.Therefore, it is expected that in the future there is an addition of application menu which is able to bridge the HMIS (Hospital Management Information System) and FAS (Financial Accounting Standards) application being implemented.Conclusion: Implementation management information system has been able to deliver really benefits for both the individual (user direct or indirect users) and for the hospital itself.Nevertheless, it is still expected to increase in the application menu that will complete the job needs in the future.
Research Progress of Knowledge Graph Embedding

As an effective and efficient approach for describing real-world entities with relations, Knowledge graph (KG) technology has received a lot of attention in recent years. KG embedding technology becomes one hot spot in KG research in terms of its efficiency in KG completion, relationship extraction, entity classification and resolution, etc. KG embedding is to embed KG entities and relations as vectors into the continuous spaces, aims at simplifying the operation, also retaining the inherent structure of the KG. In this paper, we focus on the progress of KG embedding in recent these years and summarize the latest embedding methods systematically into a review. We classify these embedding methods into two broad categories based on the type of information in the KG used in this review. We started at introducing models that only use the fact information in the KG followed by briefly review of previous models, focusing on the new models and the improved models based on the previous models. We describe the core ideas, implementation methods, the advantages and disadvantages of these technologies. Then, models incorporate additional information, including entity types, relational paths, textual descriptions, and the use of logical rules will be also included.
Comparing Unprompted and Prompted Student-Generated Diagrams

Diagrams are ubiquitous in physics, especially in physics education and problem solving.Students might generate diagrams to orient themselves to a scenario, to organize information to aid in solving a problem, or as a tool of communication to demonstrate their understanding of a physical scenario.By asking 19 undergraduate and graduate physics majors to solve a number of multiple-choice physics problems-with no prompting regarding diagrams-and then explicitly asking them to generate diagrams of similar physical scenarios, we are able to compare which elements of a scenario students externalize on their own as compared to when they are prompted.We found that different physical contexts impact how critical it is to draw an accurate diagrams, and we explore implications for teaching and research.
3D PRINTING AND NEW SECURITY THREATS

The present study is a horizon scanning report based on the British model Sigma Scan. It explores possible future issues and trends in 3D printing and its potential impact on society, particularly with regard to new security threats that its spread is expected to cause. This exercise allows for an examination based on the best predictions of how the future of this disruptive and, at the same time, enabling technology is likely to be, in order to better understand the uncertainties that its development will bring. This report addresses the potential implications of the development of 3D printing, in particular for crimes, the likely early indicators of the development of this technology, the simultaneous developments that can serve as inhibitors and drivers, the potential crime preventers and promoters, and the evidence that indicates the possibility of the predicted events.&#x0D; Keywords: 3D printing, additive manufacturing, disruptive technology, enabling technology, security risks.
Long-Term Analysis of Atmospheric Energetics Components over the Mediterranean, Middle East and North Africa

In this research, one aspect of the climate that is not commonly referred to, namely, the long-term changes in the components of the atmospheric energy, is investigated. In this respect, the changes in four energy forms are considered, namely, Kinetic Energy (KE), Thermal Energy (TE), Internal Energy (IE), Potential Energy (PE) and Latent Energy (LE); the Energy Conversion (EC) between Kinetic Energy and Potential plus Internal Energy (PIE) is also considered. The area considered in this long-term energetics analysis covers the entire Mediterranean basin, the Middle East and a large part of North Africa. This broad geographical area has been identified by many researchers as a hot spot of climate change. Analyses of climatic data have indeed shown that this region has been experiencing marked changes regarding several climatic variables. The present energetics analysis makes use of the ERA-Interim database for the period from 1979 to 2018. In this 40-year period, the long-term changes in the above energetics components are studied. The monthly means of daily means for all the above energy forms and Energy Conversion comprise the basis for the present research. The results are presented in the form of monthly means, annual means and spatial distributions of the energetics components. They show the dominant role of the subtropical jet-stream in the KE regime. During the study period, the tendency is for KE to decrease with time, with this decrease found to be more coherent in the last decade. The tendency for TE is to increase with time, with this increase being more pronounced in the most recent years, with the maximum in the annual mean in KE noted in 2015. The sum of Potential and Internal energies (PIE) and the sum of Potential, Internal and Latent energies (PILE) follow closely the patterns established for TE. In particular, the strong seasonal influence on the monthly means is evident with minima of PIE and PILE noted in winters, whereas, maxima are registered during summers. In addition, both PIE and PILE exhibit a tendency to increase with time in the 40-year period, with this increase being more firmly noted in the more recent years. Although local conversion from KE into PIE is notable, the area averaging of EC shows that the overall conversion is in the direction of increasing the PIE content of the area at the expense of the KE content. EC behaves rather erratically during the study period, with values ranging from 0.5 to 3.7 × 102 W m−2. Averaged over the study area, the Energy Conversion term operates in the direction of converting KE into PIE; it also lacks a seasonal behavior.
PERSAINGAN PORTAL BERITA ONLINE MENGGUNAKAN PRESPEKTIF TEORI NICHE PADA KAJIAN EKONOMI MEDIA

Online news portals are interesting objects to study because they are superior to traditional media. The presence of the web, makes many researchers see the emergence of new public spaces in which individuals can find and produce diverse information. The development of the media was interestingly researched on seven online news portals which became the pioneers of online media in Indonesia, namely Detik, Kompas, Republika, Okezone, Media Indonesia, Tempo and VIVA . The purpose of this research is to find out media competition by using niche theory perspectives in two aspects namely niche breadt and overlap niche from Detik, Kompas, Republika, Media Indonesia, Okezone, Tempo and VIVA in terms of message distribution. Researchers want to see how competition between online news portals is equally competitive with different media characteristics. The method used first is quantitative content analysis as initial data to calculate niche breadth and niche overlap, second niche breadth analysis, and thirdly niche overlap analysis of the seven online news portals studied.. The results show that media competition in the breadth niche is divided into two generalist parts and tends to be generalist. Generalists point out that online news portals do not depend on a single source of life support. The overlapping niche results show that the level of competition or overlap of the seven online news portals can be said to be high or tight. The high competition category is divided into three parts, namely, the highest, tend to be high and a little high.
PENERAPAN MODEL PEMBELAJARAN PETA PIKIRAN DALAM PEMBELAJARAN MENULIS CERITA PENDEK

Short stories are stories that have a short physical appearance. Generally, the numbers are around 500-5,000 words. Mind map is the utilization of the whole brain by using visual images and other graphic infrastructure to form a deeper impression. The purpose of this study to 1) Know the learning of short story writing before giving treatment 2) Know the learning of short story writing after being given treatment 3) Know the difference in learning outcomes of short story writing on students who learn by using traditional learning models with students who learn by using mind map learning models. Methodologically, this study uses a quasi-experimental method with a mind map learning model. The use of mind maps is intended so that students can more easily create a writing framework before writing a short story in its entirety. This is the reference for students in writing short stories. Then students begin to compile the story by referring to the mind map framework they made, by referring to aspects of the short story including aspects of content, aspects of structure, and aspects of language rules. From the entire series of research conducted, it can be concluded that there are differences in learning outcomes of short story writing from class XI students of SMA Negeri 4 Cimahi who learn by using a mind map learning model better than those using conventional learning models.
End-to-End Human Activity Recognition using Convolutional Neural Network and Center Loss

Sensor-based human activity recognition (HAR) is an interesting research direction in the fields of healthcare, virtual reality, and other domains.In recent years, deep learning has been grown rapidly, and they have many successes in a wide range of domains such as computer vision, intelligent transportation, and human activity recognition.Previous studies that used deep learning-based methods to tackle the problem of human activity recognition did not consider the embedded features extracted from deep learning architectures, so it is hard to classify activities with similar patterns.In this paper, we would like to propose a deep learning-based method that takes the merits of Convolutional Neural Network (CNN) and Center Loss to recognize daily living activities.By stacking multiple CNN layers, we obtained an architecture robust for extracting features from sensor data, and applying Center Loss on embedded features makes our method more robust to discriminate between classes that have similar patterns.In experimental results, the proposed method achieves the accuracy rate of 94.2% F1-Score on the smartphone dataset.