Reviewerly/exHarmony huggingface dataset:
An Error Analysis of Tiyao (Abstract) of Students’ Final Project Reports at Department of Mandarin Unsoed

Tiyao is a Mandarin summary on the final project report of Mandarin Department's students at Universitas Jenderal Soedirman, Purwokerto.This study analyzed the writing errors in tiyao.The researchers observed Mandarin Department graduated student's tiyao, then analyzed the errors, and distributed the questionnaire to get suggestion on making improvements to the teaching system, especially the translation.The main objective of this study was to determine the form of writing errors and to find out the factors that caused the writing errors in the project report of Mandarin Department students UNSOED.As well as to develop the tiyao writing method of the students final project report in Mandarin Department UNSOED.Data collection was done by observation techniques, and interviews.The results showed that the form of errors made by students was due
Automating Account Management on an Academic HPC System with Authentication Federation

There is increasing demand for high-performance computing (HPC) cluster systems because more and more computational resources are necessary to carry out large-scale simulations and machine learning, which are a crucial part of research and business today. There are two choices for HPC cluster systems: academic HPC cluster systems and public cloud services. Academic HPC cluster systems can be used with reasonable usage fees, although they take a long time until the cluster system is ready to use, because of its user registration procedure. On the other hand, public cloud services such as Amazon Web Services can be used immediately, but the usage fees are expensive compared to academic systems. To fill the gaps between them, we propose an academic HPC cluster system with automated user registration that allows on-demand HPC cluster use.
Predictions using ANNs and CNNs

In the previous chapters, I have repeatedly demonstrated how ANNs and CNNs can classify a variety of objects including handwritten numbers and clothing articles. In this chapter I will explore how ANNs and CNNs can predict an outcome. I have noticed repeatedly that DL practitioners often conflate classification and prediction. This is understandable because these tasks are closely intertwined. For instance, when presented with an unknown image, a CNN will attempt to identify it as belonging to one of the classes it has been trained to recognize. This is clearly a classification process. However, if just view this process from a wider perspective, you could say the CNN has been tasked to predict what the image represents. I choose to take the narrower view and restrict my interpretation of prediction, at least as far as it concerns ANNs and CNNs to the following definition:
Cryptanalysis of SKINNY in the Framework of the SKINNY 2018–2019 Cryptanalysis Competition

In April 2018, Beierle et al. launched the 3rd SKINNY cryptanalysis competition, a contest that aimed at motivating the analysis of their recent tweakable block cipher SKINNY . In contrary to the previous editions, the focus was made on practical attacks: contestants were asked to recover a 128-bit secret key from a given set of $$2^{20}$$ plaintext blocks. The suggested SKINNY instances are 4- to 20-round reduced variants of SKINNY-64-128 and SKINNY-128-128. In this paper, we explain how to solve the challenges for 10-round SKINNY-128-128 and for 12-round SKINNY-64-128 in time equivalent to roughly $$2^{52}$$ simple operations. Both techniques benefit from the highly biased sets of messages that are provided and that actually correspond to the encryption of various books in ECB mode.
Repository of basic digital skills for Moroccan doctoral students “University case of study: Hassan II Casablanca”

Being a doctoral student is not easy because it presupposes having a number of technical skills, among which digital skills, defined by the European Commission (2006) as "the safe and critical use of the technologies of the society of the information" and the variety of digital use in the personal and professional context, allows us to ask the question that any doctoral student should master and acquire in terms of digital skills?And on what basis can we define these skills?In this work we expect to develop a baseline of digital skills, is a document that includes the set of essential digital skills that represents a fundamental tool for the doctoral student who can in no way bypass it.And for this, we conducted interviews with about thirty university professors from different faculties of Hassan II University in Casablanca to arrive to a draft of this reference system, then we proceeded to its validation with a second group of 45 teachers in the same university, while studying the correlations existing between the degree of importance of the fields of numerical competences and the belonging to a faculty of the university in question using the khi2 test.
Testing the Fairness of a Coin by Akaike's Information Criterion

In this paper, AIC (Akaike's Information Criterion) is used to judge whether a coin is biased or not using the sequence of heads and tails produced by tossing the coin several times. It is well known that AIC·(−0:5) is an efficient estimator of the expected log-likelihood when the true distribution is contained in a specified parametric model. In the coin tossing problem, however, AIC·(−0:5) works as an efficient estimator even if the true distribution is not contained in a specied parametric model. Moreover, the judgement of fairness of coin using AIC is equivalent to a statistical test using the Bernoulli distribution with a signicance level ranging from 11% to 18%. This indicates that the judgement of the fairness of coin based on AIC leads to a higher probability of type I errors than that given by a statistical test with a signicance level of 5%. These findings show that we judge the fairness of a coin based on AIC when we do not have any prior knowledge about its fairness and we want to judge it from the standpoint of prediction. In contrast, a statistical test with a significance level of 5% is adopted when we have prior knowledge that the coin is probably unbiased. Moreover, a statistical test with a 5% significance level allows us to conclude that the coin is biased if we obtain sufficient evidence that permits us to disbelieve the prior knowledge.
UPAYA MENINGKATKAN HASIL BELAJAR MATEMATIKA MATERI PECAHAN DENGAN MENERAPAKAN MODEL DISCOVERY LEARNING DI SEKOLAH DASAR

The implementation of this research aims to improve mathematics learning outcomes of fractional material in fourth grade students of SDN Bandarjo 02 Ungaran by applying the Discovery Learning model. In the learning process the steps of the Discovery Learning model are used, namely, stimulus, problem statements, data collection, data processing, verification, generalization. The type of research used is classroom action research (CAR). When observing mathematics learning, they have not used the right learning model for students. Besides that from the data obtained 62.5% or 20 students is got grades was less than 66. The condition was considered bellow Minimum Passing Grade and 37.5% or 12 students had already reached Minimum Passing Grade. The research lasted for 2 cycles where each cycle had 3 meetings. After the first cycle of action, student learning outcomes increased 75% or as many as 24 Minimum Passing Grade students and 25% or 8 students did not reach Minimum Passing Grade. In the second cycle of action student learning outcomes increased to 84.375% or 27 students who had reached Minimum Passing Grade and 15.625% or 5 students had reached those who had not yet reached Minimum Passing Grade.
Planing A Lesson For English Langguage Teaching (Speaking Course) In The Milenium Era

In the millennium era, at present, there are many challenges faced by educators both teachers at schools and lecturers at campus.These 21st century humans live in environments that are covered with technology and media, which are characterized by abundant information, rapid changes in technological tools, and the ability to collaborate on a scale that never happened before.Someone who lives in the 21st century is required to show a series of functional and critical thinking skills that meet information, media and technology.Focus on creativity, critical thinking, communication and collaboration are the main things in preparing students for their future lives.Therefore it is necessary to make a lesson plan / syllabus that is in accordance with the existing developments and adjust to the facilities / technology that are already available to meet the needs of students in this millennium era, especially in facing the 4.0 industrial revolution.This article, using qualitative methods and descriptive analysis, tries to examine how a lesson plan should be made by using innovative teaching/ a creative syllabus designs in the teaching learning process (speaking course) in this millennial era.The results of the study show that there is a need for the creativity of lecturers in making lesson plan / syllabus that can make the students learning the material can be more meaningful, so that students have the ability to enhance creativity, stimulate them to think critically, have good communication skills and be able to collaborate so that they are ready to face the 4.0 industrial revolution.
The Qualities of Clean Code

So what is clean code? If you ask three different developers, you will get three different answers. It’s a hard concept to define. You know clean code when you see it, as if written by a programming wizard from a distant land. We all want to write good code that others admire. Sometimes we don’t know where to start. How do we take our messy, unorganized code and turn it into something beautiful?
Comparison Study Of Term Weighting Optimally With SVM In Sentiment Analysis

The rapid of internet and social media users have changed the way people interact in their daily activities.For example, banking and retail began to use various social media, especially online media such as tweeter.The problem that arises is how to get information from thousands and even million data generated through social media, to be a decision as in predicting consumer satisfaction of the service or product.Another problem is the social media users in communicating using slang or local language.In sentiment analysis to predict the sentiment is not easy because it must be able to identify the words.In sentiment analysis, to overcome these problems the method used is text mining so as to process opinions from social media.The proposed approach is to analyze optimal term weighting between TF-IDF, frequency term (TF) and Binary Term Occurrence (BTO), using SVM algorithm.Target feature extraction for selection of datasets by predicting positive and negative sentiments.The result of weighting of terms approaching sentiment is using TF-IDFwith SVM.
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.

A huge object collection in high-dimensional space can often be clustered in more than one way, for instance, objects could be clustered by their shape or alternatively by their color. Each grouping represents a different view of the data set. The new research field of non-redundant clustering addresses this class of problems. In this paper, we follow the approach that different, non-redundant k-means-like clusterings may exist in different, arbitrarily oriented subspaces of the high-dimensional space. We assume that these subspaces (and optionally a further noise space without any cluster structure) are orthogonal to each other. This assumption enables a particularly rigorous mathematical treatment of the non-redundant clustering problem and thus a particularly efficient algorithm, which we call Nr-Kmeans (for non-redundant k-means). The superiority of our algorithm is demonstrated both theoretically, as well as in extensive experiments.
Indonesian Sign Language API (OpenSIBI API) as The Gateway Services for Myo Armband

We create an API (Application Programming Interface) for Indonesian Sign Language (Sistem Isyarat Bahasa Indonesia/SIBI) which is called OpenSIBI. In this case study, we use the Myo Armband device to capture hand gesture data movement. It uses five sensors: Accelerometer, Gyroscope, Orientation, Orientation-Euler, and EMG. First, we record, convert and save those data into JSON dataset in the server as data learning. Then, every data request (trial data) from the client will compare them using k-NN Normalization process. OpenSIBI API works as the middleware which integrated to RabbitMQ as the queue request arranger. Every service request from the client will automatically spread to the server with the queue process. As the media observation, we create a client data request by SIBI Words and Alphabeth Game, which allows the user to answer several stages of puzzle-game with Indonesian Sign Language hand gesture. Game-player must use the Myo armband as an interactive device that reads the hand movement and its fingers for answering the questions given. Thus, the data will be classified and normalized by the k-NN algorithm, which will be processed on the server. In this process, data will pass OpenAPI SIBI (which connected to RabbitMQ) to queue every incoming data-request. So, the obtained data will be processed one by one and sent it back to the client as the answer.
Improving Students’ Class Participation by Optimizing The Use of Think-Pair-Share Technique

An effective and successful language learning process can only be achieved when students actively participate in the class. This research aimed to improve students’ class participation by the optimization of Think Pair Share (TPS) technique. This research was conducted as classroom action research whose subject was the tenth grade students of DPIB B class in a vocational highschool in Surakarta in the academic year of 2018/2019. The data were gathered from the research instruments, such as: observation, interview, questionnaire, research diary, and photographs. The data were analyzed using both quantitative and qualitative. The findings of the research showed that implementation of TPS was successful in improving students’ participation with the increase in the number of: (1) students asking and answering questions; (2) students’ interaction during the class; (3) students paying their attention during the class; (4) students interacting during group discussion; and (5) students speaking in front of the class. There were also some challenges that the researcher faced during the implementation of TPS technique, such as: (1) the familiarity of the technique to the students; (2) teacher’s control of the class; (3) students’ readiness in receiving the lesson; (4) difficulty in expressing opinion and ideas; (5) lack of confidence in speaking; (6) low grammar mastery; and (7) lack of vocabulary.
Rancang Bangun Sistem Kontrol Penetas Telur Ayam Kampung Menggunakan Metode MADM dan SMS Gateway

The process of good egg incubation is a major factor in the quality of native chicken eggs which during this time the native chicken mother has many problems such as the lack of eggs that hatch, the number of chickens that are not weather resistant so many eggs that do not hatch and chicken seeds in dead eggs, at least chicken breeders which incubates the eggs, there is no proper method in calculating the temperature and humidity parameters of the chicken coop and there is no information on the process of hatching eggs to farmers in real time. Overcoming this problem, the latest technology is needed that can replace the conventional system of farmers with a controlled system of chicken egg incubators. In this case, the author will make a machine equipped with a chicken hatching control system using the MADM calculation method and SMS Gateway technology as a medium of information to farmers.
The DESQ Framework for Declarative and Scalable Frequent Sequence Mining

DESQ is a general-purpose framework for declarative and scalable frequent sequencemining. Applications express their speciĄc sequence mining tasks using a simple yet powerful powerfulpattern expression language, and DESQSs computation engine automatically executes the mining taskin an efficient and scalable way. In this paper, we give a brief overview of DESQ and its components.
Knowledge Management in Pharmaceutical Companies in Chennai City – A Study with reference to Employee’s Awareness and Service Quality

The paper focuses on the emergence of Knowledge Management in Pharmaceutical Companies and its impact on employee’s awareness and service quality. The present era is coping its attention towards Knowledge Management. Knowledge Management has become a most needed approach and various strategies that are adopted for managing knowledge. There are various effects of Knowledge Management in employee awareness and service quality. The objective of the study is to analyze different types of Knowledge Management Techniques adopted in Pharmaceutical Companies and to examine its effect of services in the organization. This study is analytical and conceptual since my research work is still in progress. The data taken is secondary and descriptive in nature which explores the detailed analysis of strategies adopted in companies by integrating insights from the literature on Organizational Services and Knowledge Management. Detailed research may be undertaken to equip the Pharmaceutical Companies with Knowledge Management to bench mark their talent management practices and identify the gaps in development road of execution that generate innovative ideas for development of companies and to up bring the human resource skills.&#x0D;
The use of Instagram Towards Students’ Interest in Writing Descriptive Text” (A Qualitative Descriptive Reseach at Eleventh grade of Multimedia of SMK Ikhlas Multiprogram Jawilan Serang-Banten

ISMAWATI. 152301786. 2019. “The use of Instagram Towards Students’ Interest in Writing Descriptive Text” (A Qualitative Descriptive Reseach at Eleventh grade of Multimedia of SMK Ikhlas Multiprogram Jawilan Serang-Banten. This research investigates the use of Instagram toward students’ interest in writing descriptive text. This research used qualitative descriptive research, it was Conducted based on the main problems, 1) How to use Instagram in the activities of students writing descriptive text? 2) How the students’ interest in descriptive text by using Instagram?. The research collected data from 20 students. The researcher used qualitative descriptive research design with use instruments were three stages are observation, questionnaires and interview. The respondents of the research was the elevent grade of Multimedia SMK Ikhlas Multiprogram Jawilan Serang-banten academic year 2019/2020. The result of this research shows that students activity on Instagram such as, the first, students use Instagram as a medium for writing descriptive text, the second, students make a caption to describe the picture they upload on Instagram in writing descriptive text, the third students use Instagram to interact through comments or feedback from each group post and the fourth students use Instagram as a media to express their creativity in writing descriptive text and the last students use Instagram to share their writing descriptive text on Instagram with gave a tag and hashtag the researcher and other friends and from the students activities the students interest in writing descriptive text it seen significantly. In other words, based on questionnaires and interview 75 % answered strongly agree Instagram give influence toward student’s interest in writing descriptive text and answered agree 25% from that the students have a good interest in writing descriptive text. So its mean the students’ interest in writing descriptive text is significant when the students use Instagram in writing descriptive text. Keyword: Instagram. Interest, Writing descriptive text. A qualitative descriptive research.
Shared or Dedicated Infrastructures: On the Impact of Reprovisioning Ability

New technologies, such as virtualization, are transforming the way in which software and services are deployed and delivered to their users. They are behind the emergence of IT offerings such as cloud computing and converged networks, and manifest themselves through two important trends: (1) lower the cost of sharing a common infrastructure across multiple services with disparate resource requirements, and (2) dynamic provisioning of capacity in response to demand. Conventional wisdom is that both of these capabilities are synergistic, with greater provisioning flexibility improving the benefits derived from sharing computing or network resources. Consequently, a service operator should now always favor the use of a shared infrastructure over dedicated solutions when hosting multiple services. In this paper, we ask whether this is indeed the case, and investigate the dual impact of lower costs of sharing and provisioning flexibility on shared and dedicated infrastructures. The investigation reveals that while lower costs are always expected to favor infrastructure sharing, dynamic provisioning plays an ambiguous role. Reprovisioning improves both shared and dedicated solutions, but can do so differently and can sometimes favor a dedicated infrastructure. Our findings help illustrate that the technology trends, such as virtualization, behind cloud computing need not always favor the deployment of services on a shared infrastructure.