Reviewerly/exHarmony huggingface dataset:
Penerapan Sistem Pengelolaan Persediaan Terhadap Toko Happy Stationery

This community service activity (PKM) is carried out with the aim of helping one of the UMKM in Batam in designing an inventory management system that suits the needs of UMKM so that it can be applied in operational activities. The partner of this activity is the Happy Stationery Store. Previously, Happy Stationery Stores still used a handwritten manual system in recording their supplies. This made inventory recording inaccurate and inventory management, which was very large, was difficult for store managers to perform. This activity is designed to help these UMKM problems.PKM activities are carried out by interviewing, observing, and system simulation methods. Inventory management system designed based on website. The output generated from this system is in the form of main menu, inventory management list, product input list, product location tracking feature, user identification list, supplier list, customer list, and sales features. The implementation stage consists of three stages, namely the stage of introducing system features, providing system manuals, and the feedback process from the UMKM. The system has been well implemented and can provide improvements in the supply management system for UMKM.
GAMBARAN PENGETAHUAN MASYARAKAT TERHADAP KESIAPAN BENCANA (DISASTER PREPAREDNESS)

Garut Regency is one of the regencies in West Java that is prone to disasters, floods, landslides, earthquakes, fires and tornado winds. Readiness is part of the initial step for disaster. Readiness is an activity carried out to anticipate disasters through organizing activity with appropriate steps. The purpose of this research was find out the description of community knowledge on disaster readiness in Garut Regency. This research method used descriptive quantitative. The instrument in collecting data used questionnaires, with cluster random sampling technique by processing data using slovin formula as many as 84 people based on frequency distribution. The results showed that the knowledge of community in five districts of Garut Regency with the highest category was bad category 47 (56.0%). The majority of disaster readiness knowledge in Garut Regency showed that most public knowledge was bad, it needs to be given information and counseling related to the concept of disasters and how to prevent them. Disaster readiness is very important in disaster safety. The results of this study were expected to be used as a basic material and experience for the provision and knowledge of disaster readiness, with the aim of saving the lives, property and reducing casualties.Keywords : Disaster Readiness, Knowledge
online student attendance system via face recognition using python

We reside during a world where everything is automated and linked online. the web of things, image processing, and machine learning are developing day by day. The attendance system may be a typical example of this transition, ranging from the standard signature on a paper sheet to face recognition. The face is one among the best ways to tell apart the individual identity of every other. Face recognition is a identification system that uses personal characteristics of a person to identify the person's identity. Human face recognition approach basically consists of two phases, first phase is face detection, where this phase takes place very rapidly in humans, except under conditions where the object is located at a short distance away, the next phase is the introduction, which recognize a face as individuals. Stage is then recreated and developed as a model for facial image recognition (face recognition) is one of the much-studied biometrics technology and developed by experts.
Machine Learning for intelligent avatars in Virtual Reality simulations: Training environment for CBRN procedures

Training in Virtual Reality (VR) has proven to be a much more efficient alternative than traditional methods. It can provide an immersive experience, but it is important to improve the realism of VR simulations in order to achieve a better experience. Most of the times, a simulation involves other avatars that can help the user in his or her task, which must respond correctly according to the situation. This work focused on two main objectives. The first one is to develop a simulation in order to train Air Force personnel on the CBRN (Chemical Bacteriological Radiological Nuclear) procedures, that are procedures to be followed in situations in which CBRN hazards may be present. The second one is to introduce a Machine Learning (ML) algorithm able to control the avatars that will help the player during the simulation. This thesis is a collaboration between Politecnico di Torino, LINKS Foundation and the 3rd Wing of the Italian Airforce.
PENINGKATAN PEMAHAMAN MAHASISWA DALAM PENULISAN KARYA ILMIAH MELALUI KEGIATAN “MENULIS SKRIPSI ITU MUDAH

Writing scientific papers for undergraduate students in the form of a thesis, it is often difficult to understand the rules of writing.  This was confirmed by the survey at the beginning of the activity. The purpose of this activity is that there is an increase in the student participating in the writing of thesis scientific papers. The method used in this activity is a series of workshops during August-October 2020. The workshops are conducted interactively online through a zoom meeting. After providing materials and simulations through workshops, the activity was continued with individual consultation and mentoring through the WhatsApp group. The training participants consisted of 99 students in the First Series, then 70 students in the Second Series. Workshop participants come from various campuses. To find out the impact of the activity, at the end of the activity an online survey was conducted. In general, the participants felt helped by the activity of this workshop. However, because the speakers has a social and humanities background, participants from the technology science family are not specifically served
THE EFFECT OF RIDDLE ON TEACHING VOCABULARY OF THE SEVENTH YEAR STUDENTS OF MTS NEGERI STABAT

This study was purposed to find out the effect of riddle on teaching the vocabulary of the seventh -year students of MTs Negeri Stabat. The design of the study was experimental research. The population of this study was the seventh year students of MTs Negeri Stabat. There are six classes of the seventh year students consisting of 200 students. Since the population is large, the writer will take 70 students into her sample, namely two classes. To know the difference between the groups, the researchers used a comparative analysis technique between two groups which compared the means by applying the t-test formula. The observed data using t-test was 2.73 for the degree of freedom 68 (n1 + n2 – 2 = 35 + 35 – 2 = 68). In the row of 68 of the t-table was 1.671  = 0.05. The result showed that the t-observed was lower than the t-table, namely 2.73 < 1.671. Therefore, Riddles affects the Vocabulary achievement of the seventh- year students of MTs Negeri Stabat.
Análisis de la propuesta de contenidos digitales en redes sociales de escuelas del cantón Yaguachi, Ecuador

In this research, the goal is demonstrating what kind of content have been posted by de middle schools of Yaguachi city in Guayas, Ecuador, throught to Facebok. Then, in this research have determined if the final message from middle schools had interactions. Our research was realized because Facebook is the social media the most popular in Yaguachi and Ecuador. The research has a focus qualitative and we use to observation method. We development a survey with users of middle schools and trough we achieve determine the receptive about the contents in the account of Facebook of the institutions.
Hierarchical And Non-Hierarchical Algorithm Clustering: 21st Century Skill Grouping In State Vocational Schools Students

Vocational High Schools (SMK), which initially aimed to produce ready-to-work graduates, is the biggest contributor to unemployment. Efforts to overcome this, SMK graduates need to be given 21st century skills to increase agility to survive in the current industrial 4.0 era. 21st century skills are described as: life and career skills, learning and innovation skills and information media and technology skills. This study conducted a sample grouping of the data from 10,737 students of State Vocational High Schools in Bogor Regency who took advantage of the data mining process using clustering techniques. The method in this study uses the Cross-School Standard Process for Data Mining (CSISP-DM). While the algorithms used for cluster determination are hierarchical and non-heirarchic (K-Means) algorithms. Hierarchical algorithm is a method that does not determine the number of clusters, so that the result or output of a dendogram with a certain number of clusters is determined by the distance until only 2 clusters are formed. K-Means is a non-hierarchical clustering data method that can group student data into several clusters based on the similarity of these data, so that student data with the same characteristics are grouped into one cluster and those with different characteristics are grouped into other clusters. SPSS 25 is used to help find accurate values. The attributes used are life and career skills, learning and innovation skills and information media and technology skills. The results showed that life and career skills had a frequency of 4,130 students or 38%, learning and innovation skills had a frequency of 4,977 students or 46% and information media and technology skills had a frequency of 3,796 students or 35%. Meanwhile, 21st century skills at 11 SMKN in Bogor Regency are described in stages. The results of Non-Hierarchical Clustering are described in three ways. Furthermore, this research can be used as a basis for decision making to determine future Vocational School development strategies. Keywords : Clustering, Hierarchical Algorithm, Non-Hierarchical K-Means Algorithm, 21st Century Skills, SMKN
Politeness Strategy by Indonesian EFL Teacher-Learners Classroom Interaction

The ability to speak and act politely reflects on the culture and characters of the nation. In the globalization era the realization of politeness is highly decreased. The conflicts related to impoliteness are highly found in public. Therefore, it is very important to implement politeness strategy to children in early time since it is not an instant product which can be produced directly. The study aims to know types of politeness strategy of teacher and young EFL learners at English One course during conversation activity. The participants of this study were elementary level learners consisiting of fifteen learners. The data was obtained through recording the conversations between instructors and the learners in teaching and learning activities. The primary sources of data were the conversation between learners and instructor which had been recorded. The datum were analyzed and discussed based on the theory of politeness of Brown and Levinson (1987). The results of this study revealed that there were various expressions used by young EFL learners to encode their politeness during ELT process. The expressions were in the forms of informing, reporting and fillers. These expressions were categorized as positive politeness.
ANALISIS NILAI-NILAI PENDIDIKAN KARAKTER DALAM NOVEL GURU AINI KARYA ANDREA HIRATA DAN RELEVANSINYA DENGAN PEMBELAJARAN BAHASA INDONESIA DI SMA

Abstract : This study discusses the value of education in the novel Guru Aini in Indonesian Language Learning. The goal to be achieved is to describe and analyze the educational values contained in Guru Aini, which can be applied in literature learning material for high school students through Novel Guru Aini. This research is a content analysis research. The subject of this research is the novel Guru Aini by Andrea Hirata. The research is focused on problems related to the value of character education contained in the novel Guru Aini, which is then adjusted to the educational values according to the National Education System. Data were analyzed using qualitative description techniques with the aim of assessing and describing the problem under study. The validity of the data is obtained through validity (semantic, referential, expert judgment) and reliability (interrater and intrarater). The results showed that: (1) The intrinsic elements in the Novel Guru Aini include themes, plot, characters and characterizations, background, point of view, language style, and mandate (2) There are five types of educational values in Guru Aini's novel, namely Character values related to God Almighty, Character values in relation to oneself, Character values related to others or others Aware of the Rights and Obligations of Self and Others, Character values in relation to the environment and National ValueKeywords: Character Education Values, Novel, Indonesian Language
EFEKTIVITAS PROGRAM JAM BELAJAR MASYARAKAT DI KELURAHAN TERBANKECAMATAN GONDOKUSUMAN KOTA YOGYAKARTA

Abstract Terban an area that carry Hours Learning Communities Program. In other areas at this time, it is difficult found a group of people who are still consistently applying this Community Learning Hours. This makes many people concerned, especially for those who are much concerned with the condition of the education of the nation. So the author wants to examine the effectiveness of the Learned Society in Terban clock. The purpose of this study was to determine how effective the Clock Learning Communities program on student achievement and determine Terban enabling and inhibiting factors Hours Learning Communities Program on student achievement in Terban. This research method is descriptive qualitative method. In this study using several techniques to collect data such as: interviews, observation, and documentation. This study uses data source, primary data in the form of interviews and observations and secondary data in the form of literature and other written data sources. The results of this study indicate that the implementation of the program in the community study hours Terban not been fully effective it was in the measure of the pillar is not yet even citizens applying learning hours community for its citizens and also children in Terban not been studied regularly. But Terban already categorized either by the Department that is seen on the implementation of competition Community Learning Program Hours by Education Office of Yogyakarta in 2016. Keywords: Program, h ours l earning c ommunities .
The Film Recommendation System uses the Recursive Elimination Algorithm

The number of films has increased to become denser. Therefore, it is very difficult to find the film that users are looking for through existing technology. For this reason, users want a system that can suggest their film needs and the best technology about this is a recommendation system. However, the most recommended system is to use the collaborative filtering method to predict user needs because this method provides the most accurate predictions. Currently, many researchers are concerned with developing methods for increasing accuracy rather than using collaborative screening methods. In this paper we use the Recursive Elimination (RElim) algorithm for the film recommendation system. As a result, each itemset is annotated with its support. Itemset support is the number of times the itemset appears in the transaction database
Paradox of Noise, by Gunilla Norris

It is a paradox that we encounter so much internal noise when we first try to sit in silence. It is a paradox that experiencing pain releases ...
Sustaining the Implementation of Dual-Language Programme (DLP) in Malaysian Secondary Schools

Objective - The implementation of Dual-Language Programmes (DLP) in the teaching and learning of Science and Mathematics is an initiative under the 'Upholding the Malay Language and Strengthening the English Language' (MBMMBI) policy. Though it has some similarities with the previous policy known as 'English for the Teaching of Science and Mathematics' (PPSMI), its execution is idiosyncratic in its own way. Since its inception in 2016, the programme has entered its third cycle involving students in primary and secondary schools in Malaysia. The curiosity to scrutinise the programme implementation has led to this study. The study aims to investigate the execution of this programme and to assess its sustainability.Methodology/Technique - Gleaning through the students' language capabilities, attitudes, teachers' support and acceptance of the programme, the study uses a questionnaire with open-ended questions and focus group discussions to unravel the aforementioned issues. 1,530 students from secondary schools across Malaysia were selected as the respondents of this study.Findings - The results reveal findings that may represent a measure on the direction of this programme. Looking from the student perspective, the challenges confronted in addition to those put forward may further serve as an indicator for the sustainability of the program.Novelty - This study infers how the programme can be further enhanced in terms of its implementation in its fourth year since inception. The findings of this study may assist policy makers in shaping the direction of the programme.Type of Paper - Empirical.
Withdrawing the Edge-Read Permission of Graph Convolutional Network to Against Adversarial Attack

Node classification based on graph convolutional networks (GCNs) is vulnerable to adversarial attacks by maliciously perturbing graph structures, such as inserting or deleting graph edges. In this paper, by formulating a general attack model, we demonstrate the vulnerability of GCNs, i.e., the edge-reading permission can easily create opportunities for adversarial attacks. To address this problem, we propose an anonymous graph convolutional network (AN-GCN), which allows classifying nodes without reading the edge information of GCNs. Extensive evaluations show that, the proposed AN-GCN can achieve outperformed high accuracy in node classification compared to general GCNs, while maintaining high-level security in defending against adversarial attacks.
Study of Wind Energy Potential As Source of Wind Power Plant in Merauke City

Wind Energy is a part of promising renewable energy, in this article the author studies the potential of wind energy as a source of wind power in the city of Merauke. The method used is to analyze the probability of wind speed distribution based on primary data and secondary data using the 2 parameter weibull distribution to find out the character of the wind after that then calculate the potential of available wind energy. The results of wind speed character analysis show β form parameter > 3, the wind energy potential available in Merauke, with different elevations producing wind energy potentials ranging from 2 kW to 56.83 kW.
Digital Forensics for Infected Computer Disk and Memory: Acquire, Analyse, and Report

Cyber-crime is becoming more widespread every day, and hackers are hitting organizations' IT infrastructures with sophisticated malware. However, the victims of this malware are not only organizations; end users' IT can also become infected due to the worldwide spread of this malware. Today, major security consultancy companies clearly state the deficiency of tools, methods and experts to combat this new evolving plague. In this paper, we will discuss how special tools can be used to create images from an infected disk and memory, access and analyse them and recover data from an infected machine. Every crime leaves some evidence of the criminal, which can be in digital format or in physical appearance. In most cases of cyber-crime, evidence can be found in digital format, and the process of analysing the computer crimes with tools and techniques is known as forensic analysis, which is performed by IT security professionals. In this scenario, where a number of computers have been infected by ransomware, two solutions are available: (1) we pay the ransom to the hackers; (2) we use forensic tools to recover data and find the vulnerability exploited by the hackers in order to secure and patch other computers inside the organisation. In this paper, we will use the disk image created from an infected machine and analyse it with forensic tools to investigate what happened and why. The next step will be to recover as much data as possible from the infected disk image.
Quantum causal inference in the presence of hidden common causes: An entropic approach

Quantum causality is an emerging field of study which has the potential to greatly advance our understanding of quantum systems. In this paper, we put forth a theoretical framework for merging quantum information science and causal inference by exploiting entropic principles. For this purpose, we leverage the tradeoff between the entropy of hidden cause and the conditional mutual information of observed variables to develop a scalable algorithmic approach for inferring causality in the presence of latent confounders (common causes) in quantum systems. As an application, we consider a system of three entangled qubits and transmit the second and third qubits over separate noisy quantum channels. In this model, we validate that the first qubit is a latent confounder and the common cause of the second and third qubits. In contrast, when two entangled qubits are prepared and one of them is sent over a noisy channel, there is no common confounder. We also demonstrate that the proposed approach outperforms the results of classical causal inference for the Tubingen database when the variables are classical by exploiting quantum dependence between variables through density matrices rather than joint probability distributions. Thus, the proposed approach unifies classical and quantum causal inference in a principled way.
IMAGE ANALYSIS AND IMAGE EDITOR USING FILTERS

The IMAGE EDITOR may be a technical term used for storing messages in pictures. Messages will be sent along side pictures. it's essential for a few systems, to transmit messages in a very secured format. over it's conjointly essential to send some messages along side pictures. Information activity techniques received abundantly less attention from the analysis community and from business than cryptography, however this has modified quickly. the primary educational conference on the topic was organized in 1996. it had been followed by many alternative conferences that specialize in data activity similarly as watermarking. The main drive is concern protective copyright; as audio, video and alternative works become offered in digital kind, it should be that the benefit with that excellent copies will be created can cause large-scale unauthorized repeating which is able to undermine the music, film, book and software system publication industries. There has so been vital recent analysis into ‘watermarking’ (hidden copyright messages) associated input pictures (hidden serial numbers or a group of characteristics that tend to differentiate an object from alternative similar objects); the concept is that the latter will be wont to discover copyright violators and therefore the former to prosecute them. But there square measure several alternative applications of accelerating interest to each the tutorial and business communities, together with anonymous communications, covert channels in pc systems, detection of hidden data, etc. This system are developed exploitation JAVA as side. anal