Reviewerly/exHarmony huggingface dataset:
APLIKASI E-VOTING UNTUK PEMILIHAN KETUA OSIS DI SMA XYZ BERBASIS WEB RESPONSIVE

Student council election is a routine school activity every year, but currently the student council election is done manually using ballot papers containing the candidates. The weakness of this system is in addition to the process of getting longer results, it is also prone to fraud due to the excess of manipulated ballot papers, as well as being less environmentally friendly. Therefore the need for a system that is able to provide solutions to these problems, one of which is a responsive web-based student council election system. Web-based systems are more common than mobile-based systems, because they are supported by all device platforms, different if only based on mobile (Android), only devices based on the Android operating system can use the application. Moreover, web technology is now very good, responsive web allows the display of web pages to adjust to the user's screen size automatically, responsive web framework used in this study is bootstrap. In this study, researchers used a software development model which is a prototype. And for the tools used in developing this application is the Unified Modeling Language, and the system testing method uses a blackbox. The results of this study are expected to provide results in the form of a system that is fast and accurate, cost effective and environmentally friendly.&#x0D; Keywords: e-voting, bootstrap, prototype
Transitivity Analysis of Jokowi and Prabowo Campaign Speech in Indonesian Presidential Election 2019

This study of the transitivity system aims to identify and describe the type of transitivity, namely the process, participant, and circumstance which appeared in Jokowi and Prabowo campaign speech in 2019. The method used was qualitative method and researcher as key instrument in this study. The method used in collecting data was Metode Simak which proposed by Sudaryanto (2018). Data collected were analyzed by using the theory of Halliday (1985), namely Systemic Functional Linguistics (SFL) which focused on transitivity system. The results of the study based on data analysis show that there are 24 data or about 32% material process as dominant process that found in Jokowi campaign speech, the most dominant participant is actor that found about 15.1% or 23 data , and time as the most dominant of circumstance that found about 21.4% or 9 data. Whereas in Prabowo's campaign speech found that the most dominant process that used is material process about 37.5% or 30 data with the most dominant participant, namely actor and goal that have the same amount of data about 28 data or 18.2%, the circumstance type which is the most dominant used namely place about 11 data or 26.8%. The most dominant transitivity process used by the two presidential candidates shows that the two presidential candidates try to convey things related to the activities or actions that will be done by each presidential candidate if they are elected to become president of Indonesia in 2019-2024 period.
LEARNING INVARIANT COLOUR FEATURES FOR PERSON REIDENTIFICATION

In this examination we have proposed Learning invariant shading highlights for individual recognizable proof utilizing human face for high proficient flag exchange framework applications. In this paper, we have a tendency to propose an information driven approach for taking in shading designs from pixels examined from pictures crosswise over to camera sees. The instinct behind this work is that, even assuming picture element values of same colour would wander across views, they thought to be encoded with indistinguishable qualities. We tend to model colour feature age as a learning drawback by together learning a direct transformation and a wordbook to write in code picture component esteems. We have a tendency to conjointly dissect entirely unexpected estimating invariant shading zones. Abuse shading in light of the fact that the exclusively prompt, we tend to contrast our approach and all the estimating invariant shading zones and show better execution over every one of them. Overwhelming pivoted nearby double example is anticipated yields higher execution. This paper proposes a totally exceptional strategy of characterizing the outer body part misuse Convolutional Neural Network.
Pelatihan Blended Learning bagi Guru di Lingkungan Madrasah Tsanawiyah Negeri Sumber Bungur

Not all teachers in Madrasah Tsanawiyah (MTs)’s public of Sumber Bungur have the ability to adapt to Information and Communication of Technology(ICT) development. Especially in the management of technology-based applications.Whereas with the rapid development of technology, teachers ' knowledge of technology must be mastered in order to support success in learning. The goal of this devotion is to introduce blended learning and motivate teachers to apply technology in learning.The participants of the devotion are representatives of the teacher teachers in the subjects at MTs Sumber Bunga as many as 14 people. Before the devotion carried out the participants were given Pretests aims to know the initial knowledge of participants related to the model of learning, utilization of ICT and blended learning, the result teachers are less utilizing ICT in learning and yet Know about blended learning. Whilethe results of the dedication gained data that the participants experienced an increase in knowledge about blended learning. Participants can also utilize the app Edmodo and quiz creator that supports teachers to apply blended learning. The poll stated that participants responded well to the implementation of devotion. They want to apply blended learning in learning after knowing its usefulness.
Understanding Corruptors’ Imagination Concerning Money Through Their Metaphors

ABSTRACTThis study illustrates the imagination of corrupt politicians from the Prosperous Justice Party (PKS) about money through observing the metaphors they use to replace the word "money" when conducting cell phone conversations revealed in court. The discussion focuses on the metaphorical expressions of two PKS politicians, in the case of bribery by Commissioner of PT Cahaya Mas Perkasa, So Kok Seng, related to road reconstruction projects in Maluku and North Maluku in 2017. The Conceptual Metaphor theory is used to uncover the semantic fields of the metaphors they create. Thus, the corruptor's imagination can be revealed. It was found that through metaphors they think of money as a sacred object like the Holy Book.ABSTRAKStudi ini menganalisa imajinasi politisi korup dari Partai Keadilan Sejahtera (PKS) tentang uang dengan mengamati metafora yang mereka gunakan untuk mengganti kata "uang" ketika melakukan percakapan telepon seluler yang diungkapkan di pengadilan. Penelitian ini berfokus pada ekspresi metaforis dari dua politisi PKS, dalam kasus suap oleh Komisaris PT Cahaya Mas Perkasa, So Kok Seng, terkait dengan proyek rekonstruksi jalan di Maluku dan Maluku Utara pada tahun 2017. Teori Metafor Konseptual digunakan untuk mengungkap bidang semantik dari metafora yang mereka buat. Dengan demikian, imajinasi koruptor dapat terungkap. Melalui metafora mereka menganggap uang sebagai objek suci seperti Kitab Suci. How to Cite: Hadiyansyah, D., Hidayat, D.N. (2019). Understanding Corruptors’ Imagination Concerning Money Through Their Metaphors. IJEE (Indonesian Journal of English Education), 6(2), 109-118. doi:10.15408/ijee.v6i2.15465.
Analisis SWOT Pada Strategi Pemasaran Produk Simpanan Kurban Di KSPPS BMT NU Sejahtera Cabang Jepara

Purpose-The purpose of this research is to introduce the product to the people of Jepara to participate in the "kurban" saving product at BMT NU Sejahtera through SWOT Analysis.&#x0D; Methods-This study uses qualitative methods and applies analytical techniques from various theoretical references and field data to be analyzed and then concludes logically and critically. The data obtained with the approach of observation, interviews, and documentation.&#x0D; Findings-BMT NU who needs to pay attention to strategies to approach customers, networks, and excellent service. BMT NU Jepara also applies the marketing mix or marketing mix/product, price, place, promotion.&#x0D; Implications -Research results can be implemented in all BMT institutions in general and specifically for BMT NU Sejahtera
Multistroke Grouping of Online Freehand Axonometric Sketches for Mechanical Models

Multistroke drawing occurs frequently in conceptual design sketches; however, it is almost unsupported by the current sketch-based user interfaces. We proposed a sketch recognition system based on the multistroke primitive grouping method. Based on grouping the strokes that lie within the mutual boundaries between adjacent regions, we create line drawings from online freehand axonometric sketches of mechanical models. First, closed regions and their boundary bands of the sketch were extracted. Then, the strokes that cross the boundary bands of two or more closed regions are segmented, and the strokes that lie within the intersection of two adjacent boundary bands are grouped. Finally, grouped strokes are simplified into a new single stroke and then fitted as a geometric primitive; thus, the input sketches are recognized to the line drawings. We developed a prototype of the sketch recognition system to evaluate the proposed method. The results showed that the input sketches are simplified into the accurate line drawings efficiently. The proposed method can be applied to both multistroke overtracing and nonovertracing sketches.
Explainable Priority Assessment of Software-Defects using Categorical Features at SAP HANA

We want to automate priority assessment of software defects. To do so we provide a tool which uses an explainability-driven framework and classical machine learning algorithms to keep the decisions transparent. Differing from other approaches we only use objective and categorical fields from the bug tracking system as features. This makes our approach lightweight and extremely fast. We perform binary classification with priority labels corresponding to deadlines. Additionally, we evaluate the tool on real data to ensure good performance in the practical use case.
Research on the Design of College English Lessons Based on Hybrid-styled Teaching

At present, our society has gradually developed into an Internet-based society. Driven by the development of the Internet, many areas including education have begun to reform and innovate. Many colleges and universities in China have always adopted the traditional teaching methods, for instance, using a unidirectional teaching method or teaching in a fixed place. In the era of Internet, these methods fail to meet the needs of both parents and students. Subsequently, with the emergence of Internet Plus technology, the limitations that were originally found in the development of English teaching in colleges and universities can be overcome. By combining virtuality and reality, a new mode of simultaneous online and offline teaching has been realized, making English teaching no longer affected by the limitation of space.
THE EFFECT OF E-PERFORMANCE ON ORGANIZATIONAL PERFORMANCE MEDIATED BY EMPLOYEE PERFORMANCE, DISCIPLINE AND MOTIVATION : STUDY IN GOVERNMENT OF BANDA ACEH CITY

This study is to verify the effect of the effect of e-performance on organizational performance mediated by employee performance, discipline and motivation.The object is the government of banda aceh city.The population is the all civil servant (employee) of Government of Banda Aceh City, as much as 4.398, and the proportional random sampling is used to determined the sample, and it provides as much as 180 respondents based on the grade of each employee..The data is collected by using questionnaires, with the answer choice uses the likert scale.Structural Equation Modeling (SEM) is used to analyze the data.The result proves that e-performance affects employee performance, e-performance affects employee discipline, e-performance affects work motivation, employee performance affects organizational performance, work discipline will affects organizational performance, and work motivation affects organizational performance of the Banda Aceh Secretariat.These all findings prove the previous theories to be the update ones, and the model contributes to the realm of science and the practical implications, especially in the research object that is Banda Aceh Secretariat.The novelty originality lies in the integration of the causality theories from the previous, and its new object.The limitation resides in its scope and the variable amount.
Deep Transfer Learning for Search and Recommendation

Training data sparsity is a common problem for many real-world applications in Search and Recommendation domains. Even for applications with a lot of training data, in the cold-start scenario we usually do not get enough labeled data. Transfer Learning is a promising approach for addressing this problem. In addition, features might interact with each other in a complex way that traditional approaches might not be able to represent, Deep Transfer Learning, which leverages Deep Neural Networks for Transfer Learning, might be able to catch such deep patterns hidden in complex feature interactions. Due to these reasons, recently Deep Transfer Learning research has gained a lot of attention and has been successfully applied to many real-world applications. This tutorial offers an overview of Deep Transfer Learning approaches in Search and Recommendation domains from the industry perspective. In this tutorial We first introduce the basic concepts and major categories of Deep Transfer Learning. Then we focus on recent developments of Deep Transfer Learning approaches in the Search and Recommendation domains. After that we will introduce two real-world examples of how to apply Deep Transfer Learning methods to improve Search and Recommendation performance at LinkedIn. Finally we will conclude the tutorial with discussion of future directions.
Digital Education Environment Within the Frame of Schooling: Pedagogic Approaches and Development Strategies

The paper elaborates and classifies pedagogic approaches and development strategies for digital educational environment within the frame of schooling.Doing this, the authors take into account the didactic relations, which appear in the process of schooling.The article identifies the following approaches: situational, activitybased, andragogic, outcome-based, systemic, socio-cultural and cultural.The authors distinguish between suggested notions.The proposed functional pattern for digital education environment has established several personified education strategies: theory and practice fusion, the unanimity of content-related and procedural aspects of teaching, human congruity, creativity, research point approach, teaching and IT technologies fusion, objectivity and standardization.The core and concurrent strategies have been defined.The results of the study are practically relevant for scientists, engaged pedagogics, educational management, digital economics.
USTADZ ABDUL SOMAD LECTURE SENTIMENT ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM COMPARISON OF COMPARATIVE FEATURES SELECTION

Religious lectures are activities that are identical to the religious presentation, delivered verbally by a person who has religious knowledge and then delivered to the community with the aim of the knowledge delivered can be understood. Ustadz Abdul Somad was one of the preachers who had been known to various levels of society, but his lectures were not all acceptable to the people who liked or disliked those who came from various positive and negative comments on social media. To solve these problems, Sentiment Analysis was used by applying the Support Vector Machine Algorithm method. The purpose of this study is to compile using the selection of feature Particle Swarm Optimization and Information Gain. The results for Particle Swarm Optimization Selection Feature resulted in Accuracy of 80.57%, Precision of 85.45%, and Recall of 79.52%, Selection Feature Information Gain resulted in Accuracy of 79.78%, Precision of 78.47%, and Recall of 78, 43%, Based on the results of this study, it can be concluded that using the Particle Swarm Optimization selection feature is better at the level of accuracy when compared to using the Information Gain selection feature.
K-nearest neighbor performance for Nusantara scripts image transliteration

The concept of classification using the k-nearest neighbor (KNN) method is simple, easy to understand, and easy to be implemented in the system. The main challenge in classification with KNN is determining the proximity measure of an object and how to make a compact reference class. This paper studied the implementation of the KNN for the automatic transliteration of Javanese, Sundanese, and Bataknese script images into Roman script. The study used the KNN algorithm with the number k set to 1, 3, 5, 7, and 9. Tests used the image dataset of 2520 data. With the 3-fold and 10-fold cross-validation, the results exposed the accuracy differences if the area of the extracted image, the number of neighbors in the classification, and the number of data training were different.
Cross‐domain speaker recognition using domain adversarial siamese network with a domain discriminator

With the widespread use of automatic speaker recognition in realistic world, it suffers a lot when there is a domain mismatch, including channel, language, distance etc. Recent research studies have introduced the adversarial-learning mechanism into deep neural networks to reduce the distribution mismatch between different domains. However, they only aligned the domain distributions between the background training and evaluation data. Few focused on the diverse distribution underlying the enrol and test data. In this Letter, the authors propose a domain adversarial siamese (DAS) network trying to eliminate the domain influence on speech representation. Specifically, they feed a network with speech pairs from the same speaker. Then a domain discriminator is introduced to capture the domain consistence or difference between pairs. Final embeddings become domain-invariant and more speaker-discriminative. A cross-channel data set is sort out from NIST speaker recognition evaluation and more experiments are conducted on AISHELL-Wake-Up-1 data set. Results show that DAS performs equally effective with typical domain adversarial methods, improving results at least on energy efficiency rating. Furthermore, it is proved to be more valid for scenarios such as unbalanced data amount and unknown domain, achieving relatively improvements.
A Novel Method for Sequential HRRPs Recognition based on Data Estimation

The High-Resolution Range Profile (HRRP) contains a lot of radar target feature information and is widely used in in the field of Radar Automatic Target Recognition (RATR). However, the information contained in a single image is limited, while the spatiotemporal correlation between adjacent HRRP has not been applied to recognition, which makes a poor performance of traditional recognition methods with low SNR. In this paper, we proposed a novel method based on Recurrent Temporal Restricted Boltzmann Machine (RTRBM) to replaces the single HRRP with HRRP sequence, and the recognition process can be divided into 3 steps: estimating the missing samples, training the RTRBM model and recognizing the new samples. Experiment results on the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset show that our proposed model outperforms other traditional methods, indicating that our method is suitable for incomplete data and noise corrupted data.
Geochemical Appraisal of the Mamu Shales Exposed around Igodor in the Benin Flank of the Anambra Basin, Nigeria

The Auchi area of Edo state which lies within the Benin flank of the Anambra Basin host shaly sediment exposures that have been classified by previous researches as units of the Mamu Formation. This study evaluated samples of this sediment from Igodor near Auchi for its geochemical and mineralogical properties, and intereted its, depositional environment and geotectonic setting. In order to achieve this, field studies were carried out and representative samples obtained for Inductively Coupled Plasma Mass Spectroscopy (ICP-MS) analyses of major oxides, trace and rare earth elements. X-Ray Diffraction analysis was also carried out to determine the mineralogical composition. Some of the minerals determined were Aragonite and galena. Binary plots, triplots and elemental ratio plots including SiO2/, Al2O3, Th/Sc, Th/Co and La/Sc , Th-Sc-Zr, and the abundance of Cr, Ni were employed to determine the provenance. The concentration of detrital indicators such as SiO2, Al2O3 and TiO2, with averages of 51.95, 25.34 and 1.39 respectively, indicate high detrital influx into the Benin Flank of the Anambra basin. SiO2/Al2O3 ratios of 1.80-2.20, indicate that the shales were made up of pure kaolinite. The Ni and Cr abundance indicated a mafic and felsic provenance for the sediments, however, Th/Sc, Th/Co and La/Sc ratios show that the provenance was predominantly felsic, while the Th-Sc-Zr triplot shows that the depositional setting was passive.
Which Languages Have 4-Round Fully Black-Box Zero-Knowledge Arguments from One-Way Functions?

We prove that if a language $$\mathcal{L}$$ has a 4-round fully black-box zero-knowledge argument with negligible soundness based on one-way functions, then $$\overline{\mathcal{L}} \in \mathsf {MA}$$. Since $$\mathsf {coNP}\subseteq \mathsf {MA}$$ implies that the polynomial hierarchy collapses, our result implies that $$\mathsf {NP}$$-complete languages are unlikely to have 4-round fully black-box zero-knowledge arguments based on one-way functions. In TCC 2018, Hazay and Venkitasubramaniam, and Khurana, Ostrovsky, and Srinivasan demonstrated 4-round fully black-box zero-knowledge arguments for all languages in $$\mathsf {NP}$$ based on injective one-way functions. Their results also imply a 5-round protocol based on one-way functions. In essence, our result resolves the round complexity of fully black-box zero-knowledge arguments based on one-way functions.
Functions of Code-switching in Young Moroccans’ Facebook Comments

&lt;em&gt;This study investigates, through a qualitative approach, code-switching practices of young Moroccans in their Facebook interactions. The purpose behind this research is to analyse the functions of code-switching in Facebook comments, that were extracted from 30 Facebook accounts, and find out whether the choice of switching between languages is a conscious act that serves certain communicative functions, or it is a random choice made by young Moroccan Facebook users to compensate for a linguistic incompetence. Functions were coded and analysed using a grounded theory. Results achieved through the analysis of code-switching functions that occurred in the participants’ Facebook comments revealed that code-switching appeared, mainly, to serve notions of quotation, addressee specification, availability, principle of economy, indicating emotions, clarification, emphasis, habitual expressions, creativity and euphemism. Therefore, code-switching in young Moroccans’ Facebook comments is considered as a communication strategy that aims at enhancing their interactions in Facebook and making them more fluid and vibrant.&lt;/em&gt;