Reviewerly/exHarmony huggingface dataset:
Display Of Zoning Diameter According To The Distance Approach On Separate Organizatiom Zoning Islands

In our country, activities are carried out under the title of zoning studies in order to make an area suitable for holistic living standards.There is a hierarchy in the formation of zoning plans from the upper scale of the country development plans to the lower scale, which are the implementation zoning plans.Along with this hierarchy, in the 1/1000 zoning plans, especially the people living in a region, housing, shopping, social activity, etc. zoning islands are determined within the zoning boundaries determined to meet the needs.Zoning islands can have different building regulations, precedent or building heights.There are possible building regulations within the zoning boundaries, where there may be different types of sitting areas, such as split, block and adjacent basis.On the other hand, the form of a separate zoning island is that the garden-looking building session is given in the middle without being attached to a depth or to the façade.The process of granting construction permits to the existing zoning parcels in the zoning islands, whose identities are determined by this building regulation, is the zoning scale.Zoning diameters, planned areas are given within the framework of type zoning regulations and plan notes.The zoning diameter is given according to the precedent, height and building order of the island.Distance method, on the other hand, is the process of creating the right residential area with the drawing rules of convex shapes, such as square or rectangular, according to the geometric condition of the parcel, in order to be able to give construction permits to the clean zoning parcels in the relevant zoning islands.In our study, it has been tried to show how the settlement areas at the base can be given, which building order, which precedent and how to apply the process to the convex parcels with the distance approach.
FEATURE SELECTION AND CLASSIFICATION INTEGRATED METHOD FOR IDENTIFYING CITED TEXT SPANS FOR CITANCES ON IMBALANCED DATA

Recent studies in scientific paper summarization have explored a new form of structured summary for a reference paper by grouping all cited and citing sentences together by facet. This involves three main tasks: (1) identifying cited text spans for citances (i.e., citing sentences), (2) classifying their discourse facets, and (3) generating a structured summary from the cited text spans and citances. This paper focuses on the first task, and approaches the task as binary classification to distinguish relevant pairs of citances and reference sentences from irrelevant pairs. We propose a new method that integrates feature selection and classification techniques to enhance classification performance. The proposed method investigates combinations of six feature selection methods (χ2-Statistics, Information Gain, Gain Ratio, Relief-F, Significance Attribute Evaluation, and Symmetrical Uncertainty), and five classification algorithms (k-Nearest Neighbors, Decision Tree, Support Vector Machine, Naïve Bayes, and Random Forest). Additionally, to address imbalanced data during training, we apply SMOTE (Synthetic Minority Over-sampling Technique) to introduce synthetic biases towards the minority. Experiments are conducted using the CL-SciSumm corpora to compare the effect of feature selection applied to classification. The results reveal the benefits of feature selection in significantly boosting performance of F1 score metric, and show that our method is competitive to the state-of-the-art methods in the CL-SciSumm evaluations.
Pengembangan Perangkat Pembelajaran Matematika Realistik Terintegrasi ICT untuk Meningkatkan Kemampuan Berpikir Kritis Siswa

This study aims to develop and obtain valid, practical, and effective realistic mathematics learning tools. The learning tools developed are in the form of lesson plans (RPP), student activity sheets (LKPD), and critical thinking skills tests. The learning device development model used in this study is the four-D from Thiagarajan covering four stages, namely Define, Design, Develop, and Disseminate. However, in this study it was not carried out until implementation so that the result was a final prototype of a learning device that was ready to be implemented. The subjects in this study were 20 fifth grade students at SDN Menur Pumpungan, Surabaya. The results showed that the learning tools developed had high validity, practicality, and effectiveness values. This can be seen from the opinion of the validator, the teacher's response, the student's response, and the results of the field test. Based on the results of field trials, a realistic learning approach can improve students' critical thinking skills better. From these results, it is suggested that learning mathematics in elementary schools uses a realistic mathematics learning approach
Perancangan Sistem Informasi Penggajian Karyawan Pada Tb Blitar Berbasis User Centered Design

Employee payroll is the most important system in a company, in collecting employee payroll data real data collection is needed so that there are no errors in administration. In this study, the payroll of employees at the Blitar Building Shop which provides building tools and building materials still uses a manual system which results in the administration being less efficient in the use of time. And this research the author produces an application design Employee Payroll Information System. This payroll information system is designed using the waterfall method, the waterfall method is the process of making a system that is structured and has several stages that must be passed in its manufacture. This employee payroll information system was created with the aim of facilitating the administration in carrying out their duties. Among other things, input data on basic salary, overtime salary, deductions. The payroll information system is a development from the previous manual system using handwriting to a web-based application. This payroll information system is efficient because the user interface is very easy to understand and web-based. It is hoped that this application can be more accurate and facilitate the calculation of employee salaries
Implementasi Sistem Monitoring Jaringan Kantor PT Mitra Solusi Infokom Menggunakan Manageengine Opmanager dengan Metode SNMP Protocol

PT Mitra Solusi Infokom (MSInfokom) is an IT System Integrator company engaged in Technology and Communication Infrastructure. Network monitoring in MSInfokom is still done manually and still relies on conventional methods, so it has an impact on the efficiency of the time used by the Network Operation Center (NOC) because it has to do direct tracking on existing devices. This thesis aims to design and build a network monitoring system using ManageEngine OpManager with the SNMP Protocol method. The result obtained from the use of this network monitoring application is to monitor the device in real time, where the system will send notifications via email in case of a malfunction or downtime on the existing device.
Pembobotan Kriteria Dalam Prediksi Meningitis Tuberkulosis Menggunakan Metode SWARA dan Nearest Neighbor

Weights greatly affect the value and results of decisions or predictions of a test data, a problem that often occurs in the results of the prediction process is the weighting of symptom attributes which is less certain of the value of the weight, thus affecting the prediction results and the level of accuracy of a prediction itself. This study predicts a data using the Nearest Neighbor method where in the process of predicting the attribute weight value does not yet have a definite value for testing. Then we need an attribute weighting for each test attribute to get a definite weight value result. One method that can be applied to attribute weighting is the SWARA method. Based on research conducted to compare the prediction of Meningitis Tuberculosis without SWARA weighting and with SWARA weighting, testing with a ratio of 90:10, 80:20, 70:30 results in disease prediction using the Nearest Neighbor method, there are differences in results and levels of prediction accuracy and the process in prediction helps shorten the time to find prediction results, the highest prediction result using the swara method is 100% accurate and without weighting method is 91%.
PENINGKATAN MENULIS PENGALAMAN PRIBADI DENGAN MENGGUNAKAN MODEL INVESTIGASI KELOMPOK SISWA KELAS VIII MTS AL-KHAIRAAT GURUAPING OBA UTARA

The research was conducted with the objectives of (1) to find out the results of using the group investigation model in learning to write personal experiences for class VIII MTs students. Al-Khairaat Guruaping oba north. (2) To find out the improvement of personal experience writing skills by using the group investigation model of class VIII MTs students. Al-Khairaat Guraping oba north. The method used in this research is quantitative descriptive. The population in this study were 70 students of class VIII MTs. Alkhairaat Guruaping oba north. While the sample in this study was 30 students by 50%. Based on the results of the analysis and conclusions, it can be seen that (1) the observations of teachers in the field of Indonesian language studies have carried out the teaching and learning process well in accordance with the implementation of the curriculum and the use of learning tools in the form of syllabus and lesson plans in writing personal experiences; (2) teacher interviews in the field of Indonesian language studies have taught students with personal experiential writing learning materials and teachers have used cooperative investigative type models to improve student learning outcomes; (3) pretest (pretest) students who get very good qualifications (SB) as many as 6 by 20%, students who get good qualifications (B) as many as 8 by 26%, students who get quite good qualifications (CB) as many as 8 by 26 %, students who received poor qualifications (KB) were 5 by 16. Not yet achieved improvement; (4) final test (protest) students who get very good qualifications (SB) are 14 by 46%, students who get good qualifications (B) are 7 by 23%, students who get quite good qualifications (CB) are 9 by 30 %, students who get poor qualifications (KB) as many as 0 students by 0% achieve an increase.
Smart Face-shield Berteknologi Internet of Things sebagai Alat Pelindung Diri di Era Pandemi Covid-19

Covid-19 or Corona is a pandemic virus that has spread in almost all parts of the world. The speed of transmission of this virus is a major problem. This virus can be spread quickly through coughing, sneezing, talking, which essentially can expel droplets because this virus mostly has a host in droplets. The face area can easily be infected with Covid-19, for example entering through the eyes, nose or mouth. In this era of a pandemic, there are so many OTG or people without symptoms that it becomes a problem in suppressing this disease. There are also people with fever symptoms which are one of the indications for corona disease but are not necessarily positive, they must go through initial screening such as rapid tests and PCR (Polymerase Chain Reaction) to more accurately identify someone exposed to Covid-19 or not. In the era of the new normal pandemic, it is very difficult to trace someone's contact with anyone, especially if there is one patient who is positive for Covid-19. Therefore, the purpose of this research is proposed, namely to create a tool that essentially functions as a tool for social distancing reminders that is integrated in an PPE, namely Face-Shield. This face-shield has an RGB camera, thermal camera and proximity sensor. The distance measurement method uses the ultrasonic wave ping principle which will detect a distance between humans of about 1 meter. The AMD 8833 thermal camera detects the ambient temperature and the RGB camera to display an image of the environment if needed via a computer connection. In order to facilitate data monitoring, Android smartphones are also integrated with this system to view temperature and distance data via an Internet connection. The results of the tests carried out using black-box testing of all component devices run properly
A prospective report on the research developed at the Laboratory of Audio and Music Technology at USP

This paper presents a concise report on the research developed at the Laboratory of Audio and Music Technology at the EACH-USP. The laboratory was founded in 2011 targeting the areas of music technology, musical acoustics and bioacoustics, strengthening its scope in 2019 to the areas of sound and music computing and audio engineering. Six projects are presented herein, describing their application areas, goals, achievements and perspectives.
An open source platform to assist the creation of group playlists through artificial intelligence algorithms

Recommendation systems are a constantly expanding study area, with applications in various fields such as e-commerce, films, music to promote the user’s suggestions. When we talk about music, we have more than 20 years of studies trying to solve the problem of a good generation of playlists that maximizes the satisfaction of a larger number of listeners. For automated automatic playlist generation methods focusing on a user group, we have the collaborative filter as a more assertive method to get the user’s not likely, to improve the performance of group recommendation algorithms we store the preferences of users Especially I did not like it by placing the availability of using this data as an algorithm input parameter. The platform described in This paper is intended to facilitate testing between these recommendation systems, standardizing data entry, and facilitating requests. The use of GraphQL as a framework associated with Apollo as a library, greatly facilitates the integration of these APIs, as the separation of data sources makes it possible to associate Spotify data with Deezer or Apple Music data, these data are stored in the database of the connection, so that in future requests it will no longer be necessary to consult the Spotify API, thus facilitating the consumption of data from the artificial intelligence algorithms, as well as a possible sharing of songs between services, since all services have an ISRC code to identify the songs.
Using images to avoid collisions and bypass obstacles in indoor environments

Convolutional Neural Network (CNN) has contributed a lot to the advancement of autonomous navigation techniques, and such systems can be adapted to facilitate the movement of robots and visually impaired people. This work presents an approach that uses images to avoid collisions and bypass obstacles in indoor environments. The constructed dataset uses information from forward and lateral speeds during walks to determine collisions and obstacle avoidance. VGG16, ResNet50, and Dronet architectures were used to evaluate the dataset. Finally, reflections on the dataset characteristics are added, and the CNNs performance is presented.
EVALUATING YONA LANGUAGE

The paper evaluates a new concurrent, functional programming language Yona.Specific focus is placed on the asynchronous IO aspects of this language and its current implementation.The evaluation in the later chapter serves as the demonstration of Yona's capabilities, and it helps to set the direction of further research and development in this language by identifying significant bottlenecks.
ANALISIS KAPASITAS SALURAN DRAINASE JALAN MAYJEN HARUN SOHAR KOTA PAGAR ALAM

Drainage is a very important infrastructure for an area. Increasing population causes changes in land use resulting in reduced land infiltration and increased runoff. As happened in the drainage channel of Jalan Mayjen Harun Sohar in the rainy season. Drainage often overflowed and flooded people's homes. The purpose of this study is to analyze the capacity of drainage channels on Jalan Mayjen Harun Sohar Kota Pagar Alam. Calculation of Rainfall Intensity using the Mononobe equation. calculation of flood discharge plan based on the Rational method. Distribution of rainfall that is suitable in this study area is to use the gumbell method after being tested with the distribution match using the Chi-squared and Smirnov-Kolmogrov method with a planned rainfall Tr50 = 175.72 mm / hour, so the amount of existing Q = 3,563 m3 / sec and the magnitude of the planned flood discharge Q50 = 2,261 m3 / sec. It was concluded that the capacity of the drainage channel on Jalan Mayje Harun Sohar street was still able to accommodate the planned flood discharge but to avoid detention a dredging of 0.50 m was carried out
Satunetra Development, Chat Therapy Applications Based on Artificial Intelligence for The Blind

Nowadays the level of people with disabilities is increasing, the fact is that the most people with disabilities in Indonesia are blind. Most of the blind people experience visual disturbances so that these limitations trigger mental instability and often experience discouragement, stress, anxiety, over-confidence and lack of confidence. Besides that, like normal humans, blind people also need the role of other people, they also need someone to be a friend or a substitute figure who can always accompany them. With the development of increasingly sophisticated technology, an artificial intelligence-based chat therapy application for the blind has a function as a friend as well as a psychological consultant. This study uses the Waterfall application development method. The application testing was carried out at one of the schools for children with special needs in Makassar, so that the results of the application could be seen whether it really was in accordance with the goals and needs. Therefore, the existence of this application makes it possible to foster motivation to have a return in living life even though in limited vision.
THE EFFECTIVENESS OF SNOWBALL THROWING METHOD IN LEARNING UNDERSTANDING THE MEANING OF TEXT EXPLANATION COMPLEX

This research is motivated by the researcher's curiosity about the successful use of the snowball throwing method in understanding the meaning of complex explanatory text. The purpose of this study is to determine the level of success obtained in the use of the snowball throwing method in understanding the meaning of complex explanatory text. The formulation of the research problems are: 1) is there a difference between before using and after the snowball throwing method? 2) Is the snowball throwing learning method used successfully in learning to understand the meaning of the explanatory text? This study uses a quantitative research approach with data collection techniques, namely tests. Research Results The significance of the results is sig. 0.000 means &lt;0. 05 Based on it can be concluded that there is a significant difference between learning to understand the meaning of complex explanatory text before and after the application of the snowball throwing method to students of class XI MIA 3. This research also shows that the snowball throwing learning method gets an average value. N-Gain in class XI MIA 3 is 57.3% or it can be interpreted as quite effective in learning to understand the meaning of complex explanatory text.
Model AI Assignments 2012

&#x0D; &#x0D; &#x0D; The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning ex- perience, we here present abstracts of three AI assignments from the 2012 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at http://modelai.gettysburg.edu.&#x0D; &#x0D; &#x0D;
Textual Manipulation In National Geographic Indonesia April 2020 Issue

This study aims to answer problems that occurred as the implication of the application of strategies in translation. The first began with finding out types of translation strategies in journalistic articles. It is then followed by the analysis of how the faithfulness of the source language text was retained in the target language text. The last would be finding out the types of textual manipulation in the target language text. The object in this study is the National Geographic magazine April 2020 issue, both the English and Indonesian versions. A series of qualitative methods were employed in this study, with the library research technique used in collecting the data. This study also employed the referential method in analyzing the data and formal and informal methods in presenting the analyzed data. The result revealed that Chesterman’s translation strategies which were found in the magazine are syntactic, semantic, and pragmatic strategies. As in the case of the faithfulness of TL towards its SL in the National Geographic Indonesia April 2020 issue, it was found that the faithfulness was retained through the application of Chesterman’s syntactic strategies, as well as textual manipulation through the use of the syntactic strategies
INNOVATIVE TECHNOLOGIES IN THE EDUCATION OF FUTURE ART TEACHERS

In the conditions of Ukraine's integration into the world educational space and constant improvement of the national system of higher education, considerable attention of scientists and teachers-practitioners is paid to the problem of formation of professional competence of the future teacher.Qualitative provision of the educational needs of the individual, the realization of his intellectual and cultural potential of the young generation is possible only in the presence of a new generation of teachers.Modern social conditions require the teacher to form a wide range of professional competencies, among which the understanding of the context of «innovation» of pedagogical technologies is important.Innovation covers all aspects of reforming processes aimed at creating conditions for the formation and development of a holistic, creative personality, capable of successful socialization and self-realization in society.Well-known domestic and foreign scientists
Simultaneously Interpreting Allusive Elements in Some of Obama’s Speeches: Challenges and Strategies

Simultaneous Interpretation (SI) is quite a pressurizing cognitive process per se.Media Interpretation (MI) is more coercing being processed remotely without paralinguistic aiding factors.Lingua cultural challenges, like allusions make an interpreter's task even more pressing.References to public figures, historical events, fictional characters, cultural aspects or proverbial clichés call for associations that go beyond mere substitution.Leppihalme (1997) categorization of allusions is adopted in the present study [allusions proper (noun phrase and key phrase) and stereotyped allusions]. The source discourse (SD) is 19 of Obama's speeches interpreted into Arabic by various TV channels, likeAl-Jazeera and Al-Ghad.Being a celebrated orator keen on public support, Obama resorts to using cultural, historical, religious and national allusions that have specific connotations shared by members of his cultural community.Riccardi's (2005) interpretive strategies of production and emergency are employed to examine how interpreters transfer different allusion types into the target discourse (TD). The most frequently used strategy is omission (35.7%) due to cognitive and time constraints. Interpreters resort to morphosyntactic transformation (21.4%) in an attempt to render an accurate, acceptable equivalent.The least frequently employed strategies are expansion and approximation as the SI interpreter does not have the time or cognitive capacity for adding linguistic units or rendering a close meaning without hitting on the exact substitution.Generalization, transcoding and compression are also employed.Strategies, which involve inventing variant TD message like Parallel reformulation, are used, however in few emergency cases.MI interpreters employ strategies to achieve accuracy, comprehensibility and acceptance.