Reviewerly/exHarmony huggingface dataset:
The Sequential and Contractible Topological Embeddings of Functional Groups

The continuous and injective embeddings of closed curves in Hausdorff topological spaces maintain isometry in subspaces generating components. An embedding of a circle group within a topological space creates isometric subspace with rotational symmetry. This paper introduces the generalized algebraic construction of functional groups and its topological embeddings into normal spaces maintaining homeomorphism of functional groups. The proposed algebraic construction of functional groups maintains homeomorphism to rotationally symmetric circle groups. The embeddings of functional groups are constructed in a sequence in the normal topological spaces. First, the topological decomposition and associated embeddings of a generalized group algebraic structure in the lower dimensional space is presented. It is shown that the one-point compactification property of topological space containing the decomposed group embeddings can be identified. Second, the sequential topological embeddings of functional groups are formulated. The proposed sequential embeddings follow Schoenflies property within the normal topological space. The preservation of homeomorphism between disjoint functional group embeddings under Banach-type contraction is analyzed taking into consideration that the underlying topological space is Hausdorff and the embeddings are in a monotone class. It is shown that components in a monotone class of isometry are not separable, whereas the multiple disjoint monotone class of embeddings are separable. A comparative analysis of the proposed concepts and formulations with respect to the existing structures is included in the paper.
Application Of Statistical Control Charts To Detect Unusual Frequency Of Earthquake In The World

Earthquake in recent years has increased tremendously.This paper outlines an evaluation of Cumulative Sum () and Exponentially Weighted Moving Average () charting technique to determine if the frequency of earthquake in the world is unusual.The frequency of earthquake in the world is considered from the period 1973 to 2016.As our data is auto correlated we cannot use the regular control chart like Shewhart control chart to detect unusual earthquake frequency.An approach that has proved useful in dealing with auto correlated data is to directly model time series model such as Autoregressive Integrated Moving Average (), and apply control charts to the residuals.The control chart and the control chart have detected unusual frequencies of earthquake in the year 2012 and 2013 which are state of statistically out of control.
Pengembangan media Janus (Jelajah Nusantara) pada mata pelajaran IPS

This study aims to determine the process and results of the development of the Nusantara Exploration learning media on social studies subjects and to know the effectiveness of the Nusantara Exploration learning media on social studies subjects. This development research uses the development model of Dick, Carey, and Carey. Product development is tested through formative evaluation, which includes several stages: expert review of social study materials, design expert review and learning media, individual trials, small group trials, and field trials. Due diligence by the expert team obtained 97.17% results from media experts and 94.83% from material experts. After being revised based on responses from the expert team, individual trials were carried out at 85.05%, small group trials at 90.17%, and field trials at 90.47. T-test results show that in field trials, it is proven that this product is effective in improving student learning outcomes. Overall evaluation results, placing this development product in the category, is very feasible. DOI: 10.17977/um022v5i12020p028
Implementasi Data Mining Penjualan Produk Kosmetik Pada PT. Natural Nusantara Menggunakan Algoritma Apriori

Women's life can not be separated from cosmetics. In addition to beautifying themselves, cosmetics are also used for health purposes. Cosmetics are basically one of the basic needs of women. Every day the sales transaction data at PT. Natural Nusantara is increasing and causing huge data storage. Most sales transaction data is only used as archives without being used properly. The data should be used to see the relevance of each item purchased by consumers simultaneously. This research analyzes data using a priori algorithm method, with this method it is known that cosmetic products purchased simultaneously and most sold by looking at the value of support and confidence. In the process of data processing using manual calculation and RapidMiner 5.3 software to analyze datasets at PT. Natural Nusantara. The results of this study use 10% support and 50% confidence. This study produced 7 rules for association rules.
Research on Secure Keyword Query Based on Cloud Computing

Cloud computing is a virtual computer resource library, which provides an available, convenient, on-demand network access, configurable computing resource sharing pool. With the development of cloud computing technology, the storage of files in the cloud is being welcomed by more and more people. But on the cloud computing platform, the threat, especially three-dimensional data threats are still not negligible which requires the cloud computing provider to pay enough attention. In order to safely and efficiently obtain the files in the cloud server, this paper presents a more challenging and more practical cloud model and deterrence concept, which forces the cloud server to operate illegally at the cost of reducing computing and communication. Once the cloud server is illegal, the data user will find the illegal operation with a large probability. The results of the security key sorting query in the cloud are verified, and the effectiveness of the scheme in data security including 3D data security is verified.
Rancang Bangun Sistem Informasi Situs Bersejarah Berbasis Web

Historic sites are a form of heritage and cultural heritage of ancestors that have value for the life of the nation today and in the future. Magelang City is one city that has many historic sites that have not been optimally managed. The k-medoid algorithm is a method used in creating groups based on objects as representatives (medoid) which function as cluster centers for each cluster. In this research, web-based historic site information system design in Magelang City is carried out. Through the information system that has been built to provide a friendly user information retrieval that has many advantages such as searching, grouping and information data accessed by visitors.
OPTICAL CHARACTER RECOGNITION IMPLEMENTATION FOR ADMISSION SYSTEM IN UNIVERSITAS PERTAMINA

Starting in 2019, prospective college students require to take Computer-Based Writing Exam (UTBK) to register for the state universities in Indonesia. Some private university also adopts this exam as a requirement for admission. One of the private university that adopts it is Universitas Pertamina. UTBK consist of several exam group score printed in a digital certificate in image format (jpg). The university admission team must download the UTBK certificate that has uploaded by applicants, read and record the score for each exam group then make a calculation to make a decision whether the applicant is accepted in a certain school in the university. This research proposes to replace the manual process performed by the admission team with optical character recognition (OCR). The OCR engine will extract text from an image. Some information from the extracted text is calculated to provide an acceptance decision. The research shows that OCR cannot accurately convert text from an image when there is a grayscale background in the image. However, image preprocessing can improve overall accuracy. Lastly, Tesseract performs better in converting black text with white-background than white text with a black background.
POPULAR SCIENTIFIC LITERATURE AS A MEANS OF POPULARIZATION OF SCIENTIFIC KNOWLEDGE: LINGUISTIC ASPECTS

Scientific literature is a unique phenomenon that contributes to enhancing the overall scientific potential of society.According to different classifications, three branches are distinguished in popular scientific literature: literature for specialists in other fields of knowledge; literature for a wide range of readers; and popular works for schoolchildren.There are also three forms of popularization: general education, intra-scientific (satisfies the needs of professionals seeking to overcome the limits of narrow specialization within their field), and inter-scientific (satisfies the interdisciplinary interests of scientists).One of the main goals of popular science publications is the formation of a scientific outlook in the reader.This ideological function involves presentation in popular science books of knowledge about natural science and the laws of nature, highlighting achievements in the development of theoretical sciences, which open up new perspectives on science, as well as new opportunities for scientific progress.The main purpose, however, of popular science publications is to present a worldview designed for a wide range of readers.A popular work is characterized by accessibility, specificity, and simplicity (i.e.additional or technical knowledge is not required to read it).In order to interest the reader and facilitate the perception and memorization of the information presented in the text, the author of a popular science publication uses quotations, question sentences, explanations and characterizations of terms and scientific concepts, which introduce the reader to their practical use.Popular scientific editions have their own specific verbiage, but which vary depending on the content, function(s), purpose, readership, and genre of the work.The purpose of this article will be to identify and characterize the main verbal and figurative means characteristic of popular scientific literature, and which promote its popularization (i.e.efficacy and accessibility).
Real-Time Adaptive A* with Depression Avoidance

Real-time search is a well known approach to solving search problems under tight time constraints. Recently, it has been shown that LSS-LRTA∗ , a well-known real-time search algorithm, can be improved when search is actively guided away of depressions. In this paper we investigate whether or not RTAA∗ can be improved in the same manner. We propose aRTAA∗ and daRTAA∗ , two algorithms based on RTAA∗ that avoid heuristic depressions. Both algorithms outperform RTAA∗ on standard path-finding tasks, obtaining better-quality solutions when the same time deadline is imposed on the duration of the planning episode. We prove, in addition, that both algorithms have good theoretical properties.
An energy functional model by gradient vector-driven active contour for local fitted image segmentation

To design a gradient vector-driven active contourlocal fitted image segmentation model based on informationentropy for analyzing the construction of the active contourmodel by the variational and level set methods for validatingthe proposed model theoretically and simulation experiments. Firstly, several important active contour modelsbased on image boundary features are introduced, and the existing problems are analyzed in depth, and the causes of the problems are pointed out. Next, the non-conservative behavior of the gradient vector flow field is studied in depth, and an important conclusion about the flow field divergence of the gradient vector is obtained in the local fitted image segmentation model. On this basis, a new energy functional is constructed to measure the flux of the gradient vector flow field through the active curve, and transform the image segmentation problem into the minimum value of the energy functional. Finally, a new active contour model is constructedusing the gradient flow of the above energy functional.
PREELIMINARY STUDY: WATER QUALITY PARAMETER ANALYZES OF SALT EVAPORATION PONDS IN KECAMATAN GALIS KAB. PAMEKASAN, EAST JAVA

Water quality is an important parameter that affects the productivity and quality of salt produced in the traditional salt ponds. Environmental factors of water quality in salt ponds include bouzem plots, brine plots, peminihan ponds, and crystallization tables are important to be analyzed so that the quality of community salt can be improved, but some research is very limited about this so this research needs to be carried out. The method that used in this research is exploratory descriptive method by measuring water quality in bouzem plots, brine plots, evaporation ponds and crystallization tables. The result of water quality in bouzem plots (temperature=32ᴼC; pH=8,5; DO = 5,2 mg/L; salinity=2,5ᴼBe), evaporations ponds (temperature=34ᴼC ; pH=8,5 – 8,6 ; DO=5,4 – 6,2 mg/L; salinity=34ᴼBe), brine plots (temperature=39ᴼC ; pH=7,4 – 7,5 ; DO=2,8 – 3,3 mg/L; salinity=20ᴼBe), and crystallization tables (temperature=38ᴼC ; pH=5,7 – 6,4 ; DO=1,2 – 1,3 mg/L; salinity=29ᴼBe) Keywords: Water quality , Salt Evaporation Ponds, Pamekasan
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization.

Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited. In August 2019, a workshop was held at Carnegie Mellon University in Pittsburgh, PA, USA to attempt to bring together language community members, documentary linguists, and technologists to discuss how to bridge this gap and create prototypes of novel and practical language revitalization technologies. The workshop focused on developing technologies to aid language documentation and revitalization in four areas: 1) spoken language (speech transcription, phone to orthography decoding, text-to-speech and text-speech forced alignment), 2) dictionary extraction and management, 3) search tools for corpora, and 4) social media (language learning bots and social media analysis). This paper reports the results of this workshop, including issues discussed, and various conceived and implemented technologies for nine languages: Arapaho, Cayuga, Inuktitut, Irish Gaelic, Kidaw’ida, Kwak’wala, Ojibwe, San Juan Quiahije Chatino, and Seneca.
THE EFFORTS OF JAVANESE LANGUAGE IN CREATING INTERNET TERMS

This research aims to know how Javanese language faces the progressof times. The presence of social media as a new medium in communicating demands Javanese language to make adjustments. One form of adjustment of Javanese language can be seen through the interface display of Javanese-language Facebook that fullof internet terms. This research examines how Javanese language creates and matches the Internet terms contained in the interface display of Javanese-language Facebook. This research uses a qualitative method that describes the findings obtained from the glossary of Javanese-language Facebook. The results of this research indicate that the term-matching on the interface display of Javanese-languageFacebook is mostly done by loan, not by translation or creating the term of internet in Javanese language. It proves that Javanese language is open and flexible to foreign influences. This is the characteristic that causes Javanese language to live and survive for centuries until now. Keywords : Javanese language, loan, progress, internet
«The Breams», a Fable by I. A. Krylov, and its French Source

The article shows that I. A. Krylov’s fable «The Breams» is based on J.-J. Boisard’s fable «The Pikes». It demonstrates how Krylov transformed the source plot, turning a static situation into a dynamic story, spotlighting a minor image and supplementing humour with satire.
Pengembangan Media Pembelajaran Berbasis Mobile Learning untuk Memahami Teks Prosedural

A mobile-learning based media is a learning media using android applications to deliver materials about the concept of procedure text for eighth graders of junior high school. The design model of Research and Development used is adapted from R2D2 and ASSURE to produce an efficient, attractive, and effective. Based on the results of product trials and field tests, it is evident that this learning media is able to foster enthusiasm or passion for student learning. This is because this learning media presents procedure text material along with interesting features to support the procedure text learning. The feature consists of sample procedure videos, online learning groups, KBBI online to search for word meanings, and quizzes to find out students' understanding.
An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity

In data mining research, outliers usually represent extreme values that deviate from other observations on data.The significant issue of existing outlier detection methods is that they only consider the object itself not taking its neighbouring objects into account to extract location features.In this paper, we propose an innovative approach to this issue.First, we propose the notions of centrality and centre-proximity for determining the degree of outlierness considering the distribution of all objects.We also propose a novel graph-based algorithm for outlier detection based on the notions.The algorithm solves the problems of existing methods, i.e. the problems of local density, micro-cluster, and fringe objects.We performed extensive experiments in order to confirm the effectiveness and efficiency of our proposed method.The obtained experimental results showed that the proposed method uncovers outliers successfully, and outperforms previous outlier detection methods.
An Assessment of the Determinants of Environmental Costs of Listed Deposit Money Banks in Nigeria

This paper assesses the determinants of environmental costs of Nigerian banking institutions. Looking at the influence of profitability, company size and leverages on environmental cost such as donation, gift and developments, the population of the study are deposit money banks in Nigeria. Using purposive sampling technique, the study selected all fifteen (15) banks listed on the Nigerian Stock Exchange websites as at June 31, 2019 in which their annual reports are available to be extracted. The study utilized archival data i.e the annual report of listed banks from 2014 – 2017 to extract the needed information. Using STATA 14 software, the study conducts diagnostic tests such as heteroskedasticity, multicollinearity and Pearson correlation for data examination. Hence, multiple regression analysis was conducted to investigate the influence of profitability, company size and leverages on environmental costs. The analysis of the study showed that profitability, company size and leverages have positive and significant association with the environmental cost reported by these banks. Therefore, the study recommended that to adapt to the changing system of doing business, accountants ought to be equipped with skills and knowledge about environmental accounting and reporting, and in order to enhance competitiveness, banks must design and apply environmentally friendly strategies.&#x0D;
Otomatisasi Transaksi Toko Online Berbasis Woocommerce Menggunakan Bot Telegram

AbstrakPenelitian ini mengusulkan satu solusi untuk memaksimalkan pelayanan toko online berbasis Woocommerce dengan otomatisasi. Layanan otomatisasi ini berfungsi untuk pencarian informasi mengenai katalog produk dan pembantu dalam proses pembelian produk toko online. Aplikasi dibangun dengan memanfaatkan Bot Telegram yang ada pada Telegram Messenger. Bot Telegram dipilih karena memiliki dokumentasi Bot API yang cukup lengkap dan semakin berkembang. Bot Telegram dirancang dengan menggunakan bahasa pemrograman PHP dengan memanfaatkan framework Laravel. Metode yang digunakan untuk pembuatan Bot Telegram adalah metode Webhook. Pengambilan informasi katalog dan proses pembelian produk memanfaatkan API Woocommerce yang di integrasikan dengan Bot Telegram. Informasi diperoleh dengan memberikan perintah tertentu kepada Bot Telegram. Beberapa perintah dibuat dengan memanfaatkan fungsi keyboard yang telah disediakan oleh Bot Telegram. Pengujian dilakukan dengan mencoba tombol yang telah disediakan pada menu dan berjalan dengan baik.Abstract This study proposes a solution to maximize Woocommerce-based online shop services with automation. This automation service serves to search for information about product catalogs and helpers in the process of purchasing online store products. The application was built using the Telegram Bot on Telegram Messenger. Telegram Bot was chosen because they have a complete and increasingly developed Bot API documentation. Telegram Bot is designed using the PHP programming language by utilizing the Laravel framework. The method used for making Telegram Bot is Webhook method. Retrieving catalog information and product purchasing processes using Woocommerce API that integrated with the Telegram Bot. Information is obtained by giving certain commands to the Telegram Bot. Some commands are made using keyboard functions that have been provided by the Telegram Bot. Testing is done by trying buttons provided on menu and running well
TEACHING RECOUNT TEXT THROUGH BRAINSTORMING (A Classroom Action Research at the 8th Grade Students of Madrasah Tsanawiyah Al-Husna Depok)

: Writing is one of skills in language teaching. There are some kinds of writing genres, one of them is Recount Text. Writing a recount text is helping in memorising about an events or experiences in a kind of sequences story by follow the generic structure of recount text, orientations, events, and reorientation. To make the content and purpose of writing recount texts is effectively fulfilled, the students are provided some guidelines and procedures. However, the way teacher provides the guidelines and procedures does not always get the success in teaching and learning writing. The writer used descriptive qualitative method because the data analysis is presented descriptively. This study aims to apply Brainstorming techniques in teaching Recount Text English in 8th grade students at MTs.Al-Husna Depok. The teaching process through; interviews, observation, literature study, and the internet. Moreover, in order to collect the result of the significant differences before and after of using Brainstorming Technique, the writer uses pre-test and post-test during the observation. The research findings include: 1)The students arranged the sentences into a good paragraph by answering the question who, what, when, where, why, and how. At last, for the second trying of using brainstorming, the students did the practice individually. 2)The advantages of teaching recount text through brainstorming are that the writer found that brainstroming could help the students feel at ease while they are writing. The students can manage their time for writing more efficiently. They could produce unpredictable words for their writing since brainstorming helps them generate ideas more effectively and release their anxiety that cause the writer’s block. 3) Using brainstorming technique is very effective in improving the students’ ability in writing recount text for the 8th grade students at MTs. Al-Husna Depok. By using brainstorming, the writer made the students enjoy writing. It because brainstorming is not a difficult technique to be applied. Keyword: Teaching, Speaking, Information Gap Technique
Special issue on adaptive and learning agents 2019

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