Reviewerly/exHarmony huggingface dataset:
EFEKTIVITAS PENGGUNAAN INFOGRAFIS ALUR DALAM PENYAMPAIAN INFORMASI

In this modern era, there has been a need for practical and interesting information to the public. Likewise, UPN "Veteran" Jawa Timur continues to improve the model of information delivery from Standard Operating Procedures (SOPs) in its academic service system. This research was conducted to find a solution in creating a model of delivering that information using visual infographic style. Visual infographic style can combine information with design that can help individuals and organizations communicate briefly and clearly to the audience. The type of infographic used is the type of infographic that explains the flow in stages in various models will be measured their level of effectiveness. The research method used is qualitative and quantitative methods, namely by conducting literature studies, interviews and observations. The data obtained will be analyzed using the TOWS Matrix, an analysis of the target audience's insights using the why test method, the preparation of the questionnaire, and the inference of the results of the questionnaire. Through this infographic media, it is expected that information about SOPs in the academic service system can be conveyed clearly and easily understood by UPN "Veteran" Jawa Timur students.
Pengembangan Repositori Institusi Sebagai Sarana Komunikasi Ilmiah di Universitas Islam Negeri (UIN) Imam Bonjol Padang

Penelitian ini bertujuan untuk mengeksplorasi dan mendeskripsikan persepsi pustakawan dan dosen, serta tantangan dan kesulitan secara teknis dalam mengelola dan mengembangkan repositori institusi untuk mendukung komunikasi ilmiah. Kajian berfokus di Perpustakaan UIN Imam Bonjol Padang. Metode penelitian yang digunakan adalah campuran (mixed-methods) yang memadukan pendekatan kualitatif dan kuantitatif. Hasilnya menunjukkan bahwa pustakawan belum sepenuhnya memahami tentang konsep komunikasi ilmiah. Di sisi lain, dosen belum yakin dengan kompetensi pustakawan dalam mengelola repositori institusi. Masalah teknis juga menjadi tantangan dalam pengembangan repositori insitusi sebagai sarana komunikasi ilmiah. Dibutuhkan kerja sama antara dosen dan pustakawan dalam mengembangkan komunikasi ilmiah. Kerja sama tersebut melalui kebijakan tertulis dalam bentuk peraturan rektor. Selain itu, UPT Perpustakaan UIN Imam Bonjol Padang harus mengembangkan pola komunikasi yang lebih baik dengan UPT TIPD.ABSTRACT:The purpose of this study was to explore and describe the perceptions of librarians and lecturers, as well as the challenges and technical difficulties in managing and in developing institutional repositories to support scientific communication. The study was focused on the Imam Bonjol UIN Padang Library. The research methods were used are mixed (mixed-methods) which combine qualitative and quantitative approaches. The results showed that librarians do not fully understand the concept of scientific communication. On the other hand, lecturers are not yet convinced of the librarian's competence in managing institutional repositories. Technical problems were also a challenge in the development of institutional repositories as a means of scientific communication. Cooperation between lecturers and librarians was needed in developing scientific communication. The cooperation was through written policies in the form of rector regulations. Besides that, UPT Library UPT Imam Bonjol Padang must develop a better communication pattern with UPT TIPD.
AQUA+: Query Optimization for Hybrid Database-MapReduce System

MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It achieves high performance by exploiting parallelism among processing nodes while providing a simple interface for upper-layer applications. However, there are many existing applications maintaining their data in a distributed database. It is costly to export those data into the storage system of MapReduce (normally a distributed file system). Moreover, compared to MapReduce, database is equipped with many state-of-the-art techniques, such as index and optimizer. Therefore, a hybrid Database-MapReduce system inheriting the advantages of both systems is preferred. In this paper, we propose AQUA+, a query optimizer tailored for the hybrid system. AQUA+ is an extension work of our previous system AQUA. The intuition is to exploit the index, co-partition and other features provided by the database as much as possible and reduce the data volume processed by the MapReduce. Due to the complexity of query optimization, in AQUA+, we introduce a novel tuning technique, learning to optimize. In particular, two neural networks are trained to predict cost and refine query plan, respectively. We train them based on our log of real query processing. Experiments carried out on our in-house cluster confirm the effectiveness of our query optimizer.
Empirical Research on Occupational Adaptation of Graduates from Higher Vocational Colleges and Educational Considerations

Through empirical research, this paper puts forward and validates the theoretical model of occupational adaptation for vocational college graduates, which consists of four dimensions: occupational cognitive adaptation, occupational psychological adaptation, occupational skills adaptation, interpersonal and professional environment adaptation. The study finds that the overall level of occupational adaptation of graduates from higher vocational colleges is low; occupational adaptation is affected by years of graduation, and income satisfaction level; occupational psychological adaptation is affected by years of graduation, unit property, and income satisfaction level; interpersonal and professional environment adaptation is affected by income satisfaction level. Therefore, higher vocational colleges need to deepen the work of vocational guidance, improve the training mode of talents in higher vocational colleges, strengthen the mental health education of students in colleges, and guide students to establish correct values.
Unsupervised Feature Propagation for Fast Video Object Detection Using Generative Adversarial Networks

We propose unsupervised Feature Propagation Generative Adversarial Network (denoted as FPGAN) for fast video object detection in this paper. In our video object detector, we detect objects on spare key frames using pre-trained state-of-the-art object detector R-FCN, and propagate CNN features to adjacent frames for fast detection via a light-weight transformation network. To learn the feature propagation network, we make full use of unlabeled video data and employ generative adversarial networks in model training. Specifically, in FPGAN, the generator is the feature propagation network, and the discriminator employs second-order temporal coherence and 3D ConvNets to distinguish between predicted and “ground truth” CNN features. In addition, Euclidean distance loss provided by the pre-trained image object detector is also adopted to jointly supervise the learning. Our method doesn’t need any human labelling in videos. Experiments on the large-scale ImageNet VID dataset demonstrate the effectiveness of our method.
Survey on Image Contrast Enrichment using Multi Exposure Image

Capturing natural scenery with rich details and good contrast is the main aim of Digital Photography.Very often the digital camera captures images that do not capture the light correctly, which results in an image that is underexposed or overexposed and ends up looking flat without any discernible features due to low contrast.The HDR paradigm comes to the rescue here, according to this technique images with varying degrees of exposure such as underexposed, overexposed with varying low and high contrast images are combined to achieve a high detail image.This is a revolutionary technology but unfortunately, most of the proposed techniques have some or the other drawback.Therefore, we have envisioned an HDR generation technique achieved through the modification of the CNN algorithm.To achieve this, this paper evaluates a collection of conventional HDR image generation techniques and identifies the shortcomings.The proposed methodology for the generation of HDR images through the use of an improved CNN algorithm will be discussed in future researches.
Perancangan dan Implementasi Sistem Informasi Pelayanan Jam'iyah Umroh Hafas

The servicing done by jam'iyah umroh hafas (a group which provide umrah service) still use conventional procedure, namely by using form paper during the registration which obliges pilgrims to meet with the organizer. Also in the next process all is done with a face to face model, so that for the management of pilgrims each package the officer must carefully sort it out. This greatly affects the service process, in which officers must be really careful to group installments from pilgrims, as well as prepare data for processing to passports and travel. Therefore, in an effort to provide optimal, fast and appropriate services for hafas pilgrims, it is necessary to adopt the Customer Relationship Management contained in e-business, as well as to engineer software that can facilitate officers in completing all pilgrims administrative who will go to makkah. Designing this system uses the V-Model method in which each stage is validated and verified so that the system that is produced really meets the needs of the users and helps the officers to better administer the needs of the pilgrims.
Analisis Perancangan Sistem Penerimaan Siswa Baru Menggunakan Framework Zachman

The zoning system is a new perspective that has been established by the government in supporting the acceptance of new students. However, the system turned out to be one of the obstacles in education. Because it was still not standardized and the school found it difficult to explain to the community. Seeing the existing problems, researchers try to provide a solution to combat the problems in the acceptance of new students. the solution is to make an online zoning system design. The method used in this research is the Zachman framework. The results obtained defines the entity to the system to be built, including student entities, register entities, UN entities, account entities and school entities. Furthermore, several processes that become the main processes in the online registration application include account creation, registration, announcement, registration validation, account management, and reports. Whereas in network analysis there is a topology update to make students able to access online registration applications wherever and whenever. The results of this study hopefully can be used as a reference for similar research.
Evaluación comparativa de sistemas de reconocimiento de locutor basados en los algoritmos LPC, CC y MFCC

This document proposes the evaluation of speaker recognition systems based on the LPC (Linear Predicting Coding), CC (Cepstral Coefficients) and MFCC (Mel Frequency Cepstral Coefficients) algorithms, used in the extraction of voice parameters. The evaluation, following an experimental quantitative methodology, consists of determining the change in performance when the input signal is exposed to different noise conditions (crowd and Gaussian noise), namely, at different levels of SNR, comparing the verification results for 2 speakers. Although all the systems decrease their performance in noisy environments, each one possesses intrinsically a certain level of robustness. This evaluation will serve as a reference in the construction of speaker recognition systems, which include voice enhancement systems to reduce noise.
The Use of Puppet and Flashcard as Media in Teaching Vocabulary for Children with Special Needs

Teaching vocabulary to children with special needs is not easy. There are some problems faced by teachers when they taught English vocabulary to the children with special needs, they did not pay attention to the teacher, and they lost their interest in English subject. This quasi experimental research attempted to describe what extent puppet and flashcard lead the children with special needs to the vocabulary development and to discuss students’ attitude towards puppet and flashcard media in learning vocabulary. The participants were students of eighth-grade of SLB Negeri Ungaran and SLB Widya Bhakti Semarang. There were two instruments; test and questionnaire. The results showed that the significance between post-test score of puppet group and flashcard group was 0.000 with significance 0.000 &lt; 0.05. Furthermore, according to result of the questionnaire, students perception towards both media were positive, yet their interests in flashcard was higher than those in puppet media. It is suggested that flashcard media was more effective to be used in teaching vocabulary for children with special needs.&#x0D; &#x0D; Keywords: Puppet, Flashcard, Teaching Vocabulary, Quasi Experimental Research.
Payment Guaranteed Polynomial Exchange Rate Scheme and Its Application to Cryptocurrency Swaps

In this paper, we introduce a scheme, called Polynomial Exchange Rate Scheme (PERS), to generate ex-change rate functions for token swap systems, and show that the functions generated are consistent, stable, and resilient. We show that payments are guaranteed in PERS if the Single Circulation Source principle is adopted (i.e., PG-PERS). Compared to the existing deposit-based exchange rate schemes, PG-PERS is a scheme that requires no initial key token deposit and its price changes have relatively stable rates especially in extreme cases. As an application of PG-PERS, we present a token swap service, called Fanco Swap, for swapping the ERC20 token used on aFan, an incentivized social media platform, and Ether coin. We also cover several practical issues such as precision and computation cost problems and the solutions to them, which adopted in the implementation of Fanco Swap. The paper contains a comprehensive survey on exist-ing cryptocurrency exchange services and their pricing mechanism, followed by a formal development of the proposed exchange rate scheme and its comparison with one of the most representative existing ex-change rate schemes.
A Critical Analysis of Dramatization on Evacuation Drill

This paper presents a critical analysis of dramatization used in an evacuation drill in Indonesian elementary schools.Practical safety procedures become more prioritized than theoretical knowledge when it comes to saving a life from the risk of a natural disaster.Evacuation drill provides practice of safety procedures that contribute to raising public awareness of disaster risk.Evacuation drill, then, becomes essential in promoting Disaster Risk Reduction (DRR) awareness.During the evacuation drill, role-playing becomes a new trend to communicate DRR strategy to the school community.In this paper, the methods used for data collection are observation and interview.A three-step data process applied for data interpretation: transcription, coding, and description.A critical analysis presented with a focus on three-parameter: respond, remember, and readiness.Fourteen elementary schools were visited.Fourteen school principals and fourteen teachers were interviewed as the representative of their school communities.The observations show that roleplaying in evacuation drill affects the community's attention in DRR.The interview with the school principals and teachers shows positive responses towards role-playing during the evacuation drill.However, although the school community shows positive respond, the school principals and teachers also identified the challenge in conducting the evacuation drill with drama setting.About 57.1% of the school principals thought that dramatization during evacuation drill is time-consuming, and 64.2% of teachers also feel the same.About 42.8% of school principals admitted that their school community is not ready if the real disaster occurred.Meanwhile, 71.4% of teachers admitted that they might not act appropriately if the real disaster occurs.The interviews with the school principals also show that their attention towards evacuation drill does not guarantee the commitment from the school community to continue the program independently.About 78.5% of the school principals admitted they would continue the drill as long as there is an instruction from the local authorities.A dramatization, as the nature of role-playing, provides the emotional aspect that affects the ability to make a decision during a critical condition.However, the capacity of the brain to remember the detail of information is limited.People often forget the detail of information, but they often remember part of the information that interesting, exciting, and eye-catching for them.Further research for evaluating the implementation of evacuation drill in schools is needed to develop better DRR training and education for the school community.
Analisis Sentimen Online Review Pengguna Bukalapak Menggunakan Metode Algoritma TF-IDF

Bukalapak is one of the Customer-To Customer (C2C) e-commerce models. This model is the most widely applied and found on e-commerce sites in Indonesia. The Customer-To Customer (C2C) market is currently still dominant in Indonesia's online retail market. Data collected from Euromonitor estimates that the C2C market contributed 3% of the retail market in Indonesia in 2017, while the B2C market contributed 1.7%. One text mining analysis is that sentiment analysis can be applied to companies that issue a product or service and provide services to receive opinions (feedback) from consumers for the product. Sentiment analysis is applied to classify positive, negative, and neutral feedback from consumers so as to speed up and simplify the company's task to review their product deficiencies. The researcher conducted further analysis on Bukalapak user reviews to find out how user comments or opinions were on Bukalapak using the TF-IDF Algorithm method. And it can be concluded that based on customer review reviews in Bukalapak have a good rating or perception of this Vans shoe product. Can be seen from the results of Sentiments, Sentiment Visualization and WordCloud Visualization which shows that positive reviews have a higher frequency of 70%.&#x0D;
Inclusion As A Social Concept And Educational Practice

The paper is aimed at theoretical understanding of positive foreign and domestic experience in implementation of concepts of social and educational inclusion. The analysis of the international experience of implementation of concepts of inclusion in social and educational contexts shows that global practice is focused on broad understanding of inclusion, while most domestic studies are focused on concepts of inclusion in a narrowly defined sense as an area related to adaptation, socialization and rehabilitation of disabled people. The study analyzes the results of scientific research in the field of philosophical understanding of concepts of inclusion in the context of its cultural, humanistic and humanitarian aspects. Inclusion is regarded as an objective reality of modern humanistic civil society that implies transformation of the values of upbringing and education of the younger generation, the need to optimize traditional forms, methods and means of treating individuals with special educational needs, transformation of the system of professional personnel training for work in conditions of educational and social inclusion. The paper highlights the main trends characteristic of foreign and domestic studies on inclusion including philosophical understanding of the process of inclusion in the context of humanistic philosophy; the dominance of studies focused on inclusion in its narrow sense; consideration of concepts of inclusion as a social key strategy that affects all aspects of public life. The identified trends determined the leading concepts of the research in pedagogy of inclusive education: interdisciplinarity and practice orientation.
Discreteness in Neural Natural Language Processing

This tutorial provides a comprehensive guide to the process of discreteness in neural NLP.As a gentle start, we will briefly introduce the background of deep learning based NLP, where we point out the ubiquitous discreteness of natural language and its challenges in neural information processing. Particularly, we will focus on how such discreteness plays a role in the input space, the latent space, and the output space of a neural network. In each part, we will provide examples, discuss machine learning techniques, as well as demonstrate NLP applications.
Modeling and Implementation of Web Services Composition Based on MARDS

Since the emergence of Service Oriented Architecture (SOA) and its implementation with the Web services technology, combining several Web services to response to a complex request presented a hard challenge.This is an area that has attracted the interest of many research organizations and manufactories.The goal ofthis research work is proposing a new approach of modeling and implementing web services composition.This approach allows a clear and structured modeling and easy implementation by generating automatically the executable code from the model.In this paper, we firstly propose a modeling of the composed system using the BPM (Business Process Management) standards and based on Multi-agent reactive decisional system (MARDS).Secondly, we seek to generate the executable code BPEL (Business Process Executable Language) from this modeling to implement the composite web service.Finally, we present a case study to prove the feasibility and reliability of our proposed approach.
Complete population inversion of maximally entangled states in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mn>2</mml:mn><mml:mrow><mml:mn>2</mml:mn><mml:mi>N</mml:mi></mml:mrow></mml:msup></mml:math> -level systems via Pythagorean-triple coupling

Maximally entangled states play a central role in quantum information processing. Despite much progress throughout the years, robust protocols for manipulations of such states in many-level systems are still scarce. Here we present a control scheme that allows efficient manipulation of complete population inversion between two maximally entangled states. Exploiting the self-duality of $\mathrm{SU}(2)$, we present in this work a family of ${2}^{2N}$-level systems with couplings related to Pythagorean triples that make a complete population inversion from one state to another (orthogonal) state, using very few couplings and generators. We relate our method to the recently developed retrograde-canon scheme and derive a more general complete transfer recipe. We also discuss the cases of ${(2n)}^{2}$-level systems, ${(2n+1)}^{2}$-level systems, and other unitary groups, and give a geometrical description of the inversion via the Majorana sphere.