Reviewerly/exHarmony huggingface dataset:
Pola Beli Konsumen Menggunakan Algoritma Fp-Growth Untuk Rekomendasi Promosi Pada Aneka Jaya Motor

A piece of appropriate information can create and establish a business strategy in increasing sales through technology that can affect the trade-in buying and selling goods with the data information generated can be calculated in detail and accurately. At Aneka Jaya Motor Semarang, this was triggered by the demand for competition. One solution is a product promotion target. For determining which items are feasible for promotion, the application of a promotional decision recommendation system is made using data mining techniques associated with FP-Growth algorithms, its function is to find items that are often purchased simultaneously by consumers. Data used in the form of transaction data with the total amount used 501 data. The results obtained by appearing 1 rule is if consumers buy spark plug parts then buy oil parts with minimum support of 10% and minimum confidence of 35%. The lift ratio obtained is 1 so that valid rules are generated.
The Correlation Between Students’ Imperative Sentence Mastery And Their Ability In Writing Procedure Text At MTs Sriwijaya East Lampung

This research is conducted based on the preliminary research that are many students difficult in writing procedure text. The students are still confused about how to start writing and applying grammar in writing. The objective of the research was to know whether there was a correlation between students’ imperative sentence mastery and their ability in writing procedure text at MTs Sriwijaya East Lampung. This was correlation research. It was used to know the correlation between students’ imperative sentence mastery and their ability in writing procedure text. The population of this research was the students at the MTs Sriwijaya east Lampung of the ninth grade of the first semester. The total sample in this research was 28 students. In collecting data, using 20 multiple choices for imperative sentence test and writing a paragraph for procedure text test. After giving the test, the writer analyzed the data by using SPSS Statistic 17.0 After doing the hypothetical testing, the result demonstrated that there was a positive correlation between students’ imperative sentence mastery and their ability in writing procedure text. Based on the data analysis computed by using SPSS, it was obtained that Sig = 0.004 and α = 0.05. It means that Ha is accepted because Sig ˂ α = 0.05. Based on this research, it was suggested that to have a good writing procedure text, students should have a good mastery of imperative sentences.
A Case Study of Online Performing Arts in the New Normal Era : Focusing on the case of the National Opera and the analysis of Big Data TEXTOM_v5.0

The purpose of this paper is to analyze the online performing arts trend in the New Normal era through the online performing arts case of the National Opera. The online performing arts trend of Korea is diagnosed through the online performing arts case of the National Opera. This study can be summed up with the following results: The National Opera Company is a public corporation that started as a member of the National Directorate in 1962 and became an independent private corporation in 2000. It is Korea
Image Retrieval Using Hierarchical Nested Clusters

Digital image collections are rapidly being created and made available to multitudes of users through the World Wide Web, how to retrieve the image quickly and find the desired information from the massive data becomes a big issue. And now a days, Content-based image retrieval is used for regular process of retrieving images according to image visual contents as a replacement for textual annotations. Image retrieval can be used to retrieve similar images, and the effect of image retrieval depends on the selection of image features to a certain extent.   Based on recent successes of deep learning techniques especially Convolutional Neural Networks (CNN) in solving computer vision applications, to extract more conducive to the high-level semantic feature of image retrieval using convolution neural network. Deep learning methodology combined with distance-based learning and Gaussian kernel features can be seen as recursive supervised algorithm to create new features, and hence used to provide optimal feature space for any classification method. Implementation of RSBL used in this paper is based on Euclidean distance and Gaussian kernel features.
K-MOOC를 활용한 문화교육 방법론 연구 - 문화콘텐츠와 이미지를 중심으로 -

The world is now in the era of the ‘Fourth Industrial Revolution’. In this new era, the paradigm of education is being transformed into smart education that transcends time and space between teaching and learning. MOOC (Massive Open Online Course), which is an open online education based on web services, is a representative example. Experience and acquirement of culture in addition to the way of education is also evolving from the character center to the utilization of multi symbol including characters and images such as TV, internet, smartphone. So how do we understand the 21st century Korean culture for today’s mobile generation communicating with society through multi-symbol? How do we interpret Korean cultural content in the digital age combined with characters, as well as voice, sound, and especially images? How will you educate the meaning of an image that fills the mobile world that is fast-growing from digital native to mobile native? This study was designed to suggest another methodology of cultural education using K-MOOC. For this purpose, concrete examples of cultural education methodology will be presented for the K-MOOC lecture Cultural Contents Reading through Image.
Blockchain in Accounting: Challenges and Future Prospects

Blockchain technology has the potential to disrupt the existing business models in virtually every sector, including finance, legal, manufacturing, healthcare, government, supply chain, insurance, ...
KONSTRUKSI TULISAN MAHASISWA BILINGUAL DALAM MENULIS DESKRIPTIF

As social creatures, humans live in a variety of diversity, ranging from culture, tradition, language, and habits. In terms of communication, most Indonesian people live in bilingual, Indonesian-language and local-language conditions, even multilingualism coupled with foreign language skills. Bilingual and multilingual conditions affect language skills, especially in writing skills. The results of this study show that Indonesian-regional bilingual students write better in Indonesian national languages compared to write in regional languages and in foreign languages (English). Many local language writings are interfered with in Indonesian because students assume that certain vocabulary is very difficult to find in local languages so that they are replaced with Indonesian. In terms of quantity of writing, on average most students produce more Indonesian language production than Madura, Javanese and foreign languages.
Incorporating boundary and category feature for nested named entity recognition

In the natural language processing (NLP) field, it is fairly common that an entity is nested in another entity. Most existing named entity recognition (NER) models focus on flat entities but ignore nested entities. In this paper, we propose a neural model for nested named entity recognition. Our model employs a multi-label boundary detection module to detect entity boundaries, avoiding boundary detection conflict existing in the boundary-aware model. Besides, our model with a boundary detection module and a category detection module detects entity boundaries and entity categories simultaneously, avoiding the error propagation problem existing in current pipeline models. Furthermore, we introduce multitask learning to train the boundary detection module and the category detection module to capture the underlying association between entity boundary information and entity category information. In this way, our model achieves better performance of entity extraction. In evaluations on two nested NER datasets and a flat NER dataset, we show that our model outperforms previous state-of-the-art models on nested and flat NER.
Optimisation of FIR filter coefficients using PSO and BAT algorithm

Natural image distortions effect human visual experience. In this paper an effective methodology has been used to design FIR filter using particle swarm optimization and BAT optimization. A viable methodology has been proposed in this paper for optimizing FIR filter coefficients using PSO and BAT algorithm. Image enhancement is the process of manipulation or adjustment of image with software for improving image quality to make it more suitable for the further analysis. Noises can be removed by using different types of filters. Optimization effectiveness of BAT algorithm over PSO algorithm has been depicted by the comparison of simulation results from these two techniques.
The Implementation of Non-Sequential Strategy to Face TOEFL ITP Problems

TOEFL was seen as a prerequisite for non-native English students to study abroad, to get a suitable employment, and to get a university diploma. Students also found it challenging to complete the TOEFL reading exam. This was an experimental research based on applying a non-sequential strategy. This study aimed at investigating whether the use of non-sequential strategy was effective to complete the reading comprehension session in TOEFL ITP or not. 100 English university students engaged entirely in the study as participants. They were studying at Universitas Nahdlatul Ulama Sunan Giri (UNUGIRI) located in Bojonegoro, Eastern Java, Indonesia. The researcher provided the students a pre-test and post-test in order to collect the data. The students were permitted to perform the exam on their own during the pre-test. In this pre-test the researcher provided no special instructions. In the post-test, the participants got a preferential treatment. The students were advised to follow a non-sequential strategy for the exam. The data were produced through the students’ compilation of TOEFL scores. The data were anlyzed by comparing the students’ scores in pre-test and post-test. The results showed that a non-sequential strategy to complete the reading comprehension session of the TOEFL test is very effective to be implemented. This result is addressed further in this article.
On the Evaluation Criteria for Random Number Generators Using Monte Carlo Integration Algorithm

Among all the manifestations of chaos in various scientific fields, deriving Random Number Generators by the use of chaotic systems is widely investigated. Although the fundamental premise of the chaos theory states determinism in the resulting series, with the extreme sensitivity and dependence on the initial conditions of the system, one could address the problem of randomness in the realms of chaos theory. In this study, we present 8 defined mathematical schemes applying to the experimental data extracted from capacitors’ voltages of the classical configuration of Chua’s circuit. Each of the 8 suggested schemes operate as functions aiming for the generation of randomly distributed values and are eventually compared with the commercially common timer-based random generators. The Monte Carlo Integration Algorithm, the evaluator method of the research, indicates the spectral distributed data and then the ranking of the schemes has been proceeded through a visualization of the supposed algorithm. As the geometrical domain in the Monte Carlo Integration has defined in such a way that the most randomly scattered data set would result in a closer estimation of the number Pi, the suggested scheme, Frequency indicator, is evaluated as the highest-ranked scheme in that regard, with the estimated numerical value of 3.1424 for Pi.
PENGEMBANGAN KAMPUNG MOCO UNTUK MENINGKATKAN MINAT BACA DAN MOTIVASI PENDIDIKAN MASYARAKAT DESA JIKEN KECAMATAN TULANGAN

Literacy is the ability to read, write, enrich knowledge, skills, critical thinking skills, prioritize problem solving, communicate effectively, develop potential, and actively participate in society. A literacy culture is being promoted by the government in order to improve the quality of human resources, making individuals smart, creative, and productive. The purpose of this activity is to make Jiken Village Kampung Moco, so that the village has a community who is able to see literacy and has high educational motivation. The target of this activity is the residents of Jiken Village, Tulangan. Our program of activities includes the establishment of  Kampung Moco located in the village hall of Jiken, a joyful literacy program to foster reading interest in the Jiken Village community, and coordination regarding the sustainability of community reading gardens. The community's response to this activity was quite enthusiastic, starting from children, teenager, mothers and fathers and village officials to community leaders.
Best Wireless Bluetooth Mechanical Keyboard

With a wireless Bluetooth mechanical keyboard, you have the freedom to move around with your keyboard. It makes your table look neat and well organized; ...
Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Menggunakan Metode Certainty Factor

Teeth are one of the most important organs in the human body. As an organ that cannot heal itself, teeth need to be carefully taken care of.The data on dental health in Indonesia obtained from the Center for Data and Information (Pusdatin) of the Ministry of Health, Republic of Indonesia Year 2014 revealed that the percentage of Indonesians with dental health problems in 2007 and 2013 increased from 23.2% to 25.9%. The population receiving dental medical care increased from 29.7% in 2007 to 31.1% in 2013.People need a quick response to get their teeth checked before going to a dentist whose location might be far from their home. An early response to handle a dental disease that someone may suffer is essential. Therefore, a quick way to diagnose a dental disease that can be done by everybody is needed.This research is to develop an expert system to diagnose dental and oral diseases. This system is to assist people with an early diagnosis so that a more severe disease can be prevented.
ANÁLISIS TRANSVERSAL DE LA SITUACIÓN ACADÉMICO- EMOCIONAL AL INICIO DE LA PANDEMIA SARS-COV-2 (COVID-19) PERIODO PRIMAVERA 2020 DE LOS ALUMNOS DE LA FACULTAD DE CULTURA FÍSICA PERTENECIENTES A LA BENEMÉRITA UNIVERSIDAD AUTÓNOMA DE PUEBLA.

This research took place due to the pandemic situation caused by the Sars-CoV-2 virus (COVID-19), so in the environment where the authors work, which is in the academic field of the higher level of the Faculty of Physical Culture belonging to the Benemérita Autonomous University of Puebla had drastic changes, at the time of going from a face-to-face modality to the virtual modality which aroused the concern of the authors to determine the educational-emotional affectation of the active students in the classroom.spring period 2020.In the framework of the research, the authors designed a digital survey, where the objective was to know the perception of the sample regarding the achievement of academic objectives, the knowledge and use of virtual tools, both for them and their teachers from that period, and its emotional impact with respect to the effects of voluntary confinement and / or the alteration of stress and anxiety that could have aroused the pandemic in the student context.
GBA ADVERTISMENT : PENDEKATAN BERBASIS GENRE DALAM PEMBUATAN IKLAN PARIWISATA MAHASISWA VOKASI

This study tried to applied the Application of Genre Based Approach to students to write advertisements in English class at Universitas Airlangga. This research was classified as qualitative by trying to find information related to lecturers who applied the Genre Based Approach for third-semester students, modifications made by lecturers in the application of the Genre Based Approach, and the results of student work in responding to the implementation of the Genre Based Approach. This research included describe, recorded, and categorized with observation and interview techniques, where the description of data analysis is presented textually. The results showed that the lecturers have implemented all stages in the Genre-Based Approach with some modifications that are tailored to the needs of students, then all student works have fulfilled the purpose of an advertisement, namely to promote tourist attractions and attract readers to come and visit these places.
A Heuristic for Direct Product Graph Decomposition

In this paper we describe a heuristic for decomposing a directed graph into factors according to the direct product (also known as Kronecker, cardinal or tensor product).Given a directed, unweighted graph G with adjacency matrix Adj(G), our heuristic aims at identifying two graphsFor undirected, connected graphs it has been shown that graph decomposition is "at least as difficult" as graph isomorphism; therefore, polynomial-time algorithms for decomposing a general directed graph into factors are unlikely to exist.Although graph factorization is a problem that has been extensively investigated, the heuristic proposed in this paper represents -to the best of our knowledge -the first computational approach for general directed, unweighted graphs.We have implemented our algorithm using the MATLAB environment; we report on a set of experiments that show that the proposed heuristic solves reasonablysized instances in a few seconds on general-purpose hardware.Although the proposed heuristic is not guaranteed to find a factorization, even if one exists; however, it always succeeds on all the randomly-generated instances used in the experimental evaluation.
Pollutant Absorber Design by Using Condensation System to Minimize Air Pollutant Emissions from Industrial Estates

The concentration and distance of pollutants emitted from the industry varies depending on the type of fuel and the height of the stack used. The greater the fuel capacity used, the greater the concentration of pollutants that spread from the industry. Furthermore, the higher the stack used, the further away the pollutants emitted. To minimize the concentration and distance of the emitted pollutants, stack modification was carried out. In this study, a pollutant absorber was made with a condensation system using coconut shell charcoal. To maintain the quality of coconut shell charcoal in absorbing pollutants, a condensation system is used. To achieve these objectives, Research &amp; Development techniques used with the Design for Production (DFP) approach. The DFP approach uses a multilevel systems perspective of manufacturing activities to guide the product development process. In minimizing emissions, it is carried out in three stages, namely when entering, inside and when pollutants leave the stack. The simulation results show that with the same fuel capacity and stack height, the emission concentration is obtained, the first absorption decreased 22% while the second one decreased 63%. The small percentage decrease in first absorption is because at that stage the temperature is still high.
Pemanfaatan Perpustakaan sebagai Sumber Belajar oleh Mahasiswa Program Studi Pendidikan Ekonomi

This research aims to determine the activities of students of the Economic Education Study Program in utilizing of the Mahaputra Muhammad Yamin University library as a learning resource, obtaining information and analyzing what information materials can be obtained from the Mahaputra Muhammad Yamin University library, and obtaining information regarding the obstacles faced by students in utilizing the library at Mahaputra Muhammad Yamin University as a learning resource. This research is a qualitative research in which the research data is obtained through interviews. Data analysis techniques include data collection, data reduction, data presentation and drawing conclusions. The results of the study found that students have used the library as a learning resource by borrowing reference books, doing group study, and utilizing the available internet wifi. The information obtained in the library is in the form of reference books for lecture assignments and the preparation of final assignments, then also available novels, magazines, story books and student final assignments. The constraints found in utilizing the library are still the lack of availability of references that are sought both in terms of collection and quantity and there are also no results of research and community service produced by lecturers at the Mahaputra Muhammad Yamin University library.
A Study of Learners’ Writing Anxiety in EFL Context

The present research purposes were to find the factors of students’ writing anxiety and to know what the type of writing anxiety in writing encountered by the participants who followed writing for academic communication course of English education study program at Hamzanwadi University, Nusa Tenggara Barat, Indonesia. This study was categorized as descriptive quantitative method research. The researcher took 15 subjects who were chosen by using purposive sampling. The data collection methods were two closed-ended questionnaires, then second language writing anxiety inventor (SLWAI) designed by Cheng and Causes of Writing Anxiety Inventory (CWAI) proposed by Reraei and Jafari were applied to obtain the data. Observation and interviews were conducted to strengthen the result. The finding of research proved that the highest writing anxiety was avoidance behavior, which turned out the most predominant type among other types of writing anxiety which could be known from the highest mean score. Then there are four main causes that trigger writing anxiety. They were high frequency of writing assignments (25,3 %), low self-confidence in writing (16,87%), and time pressure. (10,79%), and problems with topic choice (10,79 %).
<i>Critical Fabulations: Reworking the Methods and Margins of Design</i>, by Daniela K. Rosner

What is the role of design research and theory in the twenty-first century? To examine the past? To explore the present? To speculate on the future? In Critical Fabulations: Reworking the Methods a...
Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

Cloud Server (CS) is an untrusted entity in cloud paradigm that may hide accidental data loss to maintain its reputation.Provable Data Possession (PDP) is a model that allows Third Party Auditor (TPA) to verify the integrity of outsourced data on behalf of cloud user without downloading the data files.But this public auditing model faces many security and performance issues such as: unnecessary computational burden on user as well as on TPA, to preserve identities of users from TPA during auditing, support for dynamic updates etc.Many PDP schemes creates computational burden either on TPA or Cloud User.To balance this overhead between TPA and User, this paper proposes Privacy-Preserving Dynamic Provable Data Possession (P 2 DPDP) scheme, which is based on ODPDP scheme.In ODPDP scheme, user relieves the burden by signing a contract with TPA regarding verification of his outsourced data.But this scheme generates computation overhead on TPA.To reduce this computation overhead of TPA, our P 2 DPDP scheme uses Indistinguishability Obfuscation (IO) with one-way function such as message authentication code to make a lightweight auditing process.P 2 DPDP scheme uses Rank-based Merkle Tree (RBMT) to support dynamic updates in batch mode which greatly reduces computation overhead of TPA.ODPDP lacks privacy which is maintained in P 2 DPDP using ring signature technique.Our experimental results demonstrate the reduced verification time and computation cost compared to existing schemes.