Reviewerly/exHarmony huggingface dataset:
Machine Learning Approaches for the Classification of Spammed Text in Messages

Spam text messages are unwanted messages sent to a large number of users on their mobile phones by telemarketers, companies to advertise their products and services and can often be a trap set by a scammer. These junk messages are capable of installing malware on phones if the user engages with the messages and can also be an attempt to steal the private information of the user. Thus, it is necessary to classify and detect these messages in order to protect the user from being a victim of such traps and to prevent identity theft of the user. Spam text messages can be detected by creating a corpus of text message words and identifying or classifying the words common to the spam text messages. In order to create a corpus, the data first has to be cleaned. Feature extraction can be performed on the cleaned data using various methods like term frequency, TF-IDF, Word2Vec, and GloVe. In this paper, we have classified the spam text from the messages by applying Naïve Bayes Classifier, Logistic Regression, LSTM and Convolutional Neural Network (CNN ). Further, we have presented their comparative analysis by calculating accuracy, precision, recall and F1 score.
You Don’t Say… Linguistic Features in Sarcasm Detection

We explore linguistic features that contribute to sarcasm detection. The linguistic features that we investigate are a combination of text and word complexity, stylistic and psychological features. We experiment with sarcastic tweets with and without context. The results of our experiments indicate that contextual information is crucial for sarcasm prediction. One important observation is that sarcastic tweets are typically incongruent with their context in terms of sentiment or emotional load.
Oral Presentation to Improve the Students’ Speaking Skill of the Seventh Grade Students at SMPN 35 Surabaya

The aim of the study was to improve the students’ ability in speaking skill by applying Classroom Action Research (CAR) using a collaborative design. The procedures of the study consist of five steps, namely: preliminary study, planning, implementing the plan, observing the action, and reflecting on the action. The study was conducted in two cycles. The study was conducted at SMPN 35 Surabaya. It was applied in the first semester of the academic year 2020/2021. The subjects of the study were the ninth-grade students comprising 41 students. The data of the study were obtained from the following research instrument: observation and test. The improvement was indicated by the increasing of the students’ mean scores of speaking skill test administered at the end of students’ means score in preliminary study was indicated by the increasing of the students’ means score in preliminary study was 6.95 in the first cycle and 7.21 in the second cycle. Meanwhile, the percentage of increasing was from 46% (first cycle) to 75% (second cycle).
FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation

The problem of video inter-frame interpolation is an essential task in the field of image processing. Correctlyincreasing the number of frames in the recording while maintaining smooth movement allows to improve thequality of played video sequence, enables more effective compression and creating a slow-motion recording. Thispaper proposes the FastRIFE algorithm, which is some speed improvement of the RIFE (Real-Time IntermediateFlow Estimation) model. The novel method was examined and compared with other recently published algorithms.All source codes are available at:https://gitlab.com/malwinq/interpolation-of-images-for-slow-motion-videos.
Sundanese Short Story (Carpon) as an Effort to Improve Reading Ability of Middle School Students

In Indonesia, the literacy level of students is still very low, especially in learning Sundanese. This research is motivated by seeing children nowadays who very rarely even forget about cultures, as well as the lack of literacy in Sundanese literary works, including short stories (known as Carpon or Carita Pondok). Therefore, we are looking for ways to increase Sundanese literacy, one of which is by getting used to reading Carpon. The purpose of this study was to find out how far the level of understanding of student literacy after reading Carpon also fosters reading interest in Carpon. This research is descriptive quantitative. The research instrument carried out was in the form of a pre-test and post-test which was carried out by distributing questionnaires (google form) to students via whatsapp groups, the source of data in this study were students of junior high school. The results showed that the pre-test results were 61% of students who answered yes, and 39% of students who answered no and in the post-test 85% of students answered yes and 15% of students answered no. It can be said that the level of student literacy and students' understanding of Carpon reading activities has greatly increased.
STRATEGI GURU PENDIDIKAN AGAMA ISLAM PADA PROSES PEMBELAJARAN DALAM JARINGAN (DARING)

The online learning process carried out by all levels of education at this time requires all teachers to have an appropriate strategy so that the material presented is easily understood by students and students have high learning motivation. PAI teachers are no exception, PAI teachers are also required to have a strategy in this online learning process. Based on initial observations, there are various strategies used by PAI teachers during the online learning process. Departing from this, this research wants to see more specifically which strategy is the most dominantly used by PAI teachers during the online learning process. This research is a qualitative research which analyzed using Miles and Huberman model. The sample of this study amounted to five PAI teachers. Methods of data collection using the method of observation and documents. The results showed that PAI teachers were more dominant in using the WhatsApp platform and Zoom Cloud Meeting when the online learning process was carried out.
LIBRARY OPAC: EVOLUTION OF TECHNOLOGIES

The purpose of the article is an analysis of evolutionary stages in the development of online-catalog and the requirements to these services in the context of customer orientation. The methodological basis of scientific intelligence is a customer-oriented approach that allows studying library products and services through the prism its accordance and level of satisfaction needs of customers (users) in the library; the principle of historicism, allowed to identify the origins of online cataloging, the stages of its development and quality of online-catalogs; source analysis and synthesis. The scientific novelty is the technological evolution of online catalogs were studied the first time in the Ukrainian library and the modern requirements to these services in the context of customer orientation and web 2.0 technologies are defined. Conclusions – automation of library at the current stage should be concentrated on developing and deploying electronic catalogs which are suited to the expectation of the new generation as competent web users. Improving the search tools should not be directed at the library staff but used for breaking down the barriers that users have when trying to navigate in different library resources and websites therefore will be possible while the architecture of modern automated library information systems does not interfere with the cooperation of the user and catalog. The evolutionary solution to this problem can be a reconstruction of automated libraries and information systems in the way by changing their architecture to one the user is orientated.
Процес «вмотивованої соціалізації» учнів середнього шкільного віку в умовах дистанційного навчання

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Ways to Improve Protection Against Cyber Crime in the Banking Sphere

In today's world, countries have managed to introduce and adapt their basic institutions to the digital economy, operate successfully in the global market and show high results in world rankings, which has a positive impact on various spheres of life, from education to economics.The digitalization of the banking sector has been stimulated by a number of factors, which has led to the need to improve and innovate the banking sector; the spread of the mobile Internet.It should be noted that the rapid development of information technology is constantly creating new types of services, including in the financial sector, as a result of which, criminals have financial or other material benefits in the form of illegally obtained income, which in turn leads to completely new fraudulent online schemes.One of the main factors contributing to cybercrime is the low level of digital literacy of the population regarding personal cybersecurity, especially when using banking products.Some people do not have simple computer skills.Therefore, the priority for our country should be two areas in the fight against cybercrime: actively informing the public about new types of banking services on the Internet and updating legislation in this area to combat crime in cyberspace.
Perceptions with Non-English Educational Background Competence in English Teaching

This research's purposes were: (1) exploring the perceptions of non-English teachers in teaching English at IAIN Manado; (2) assessing the ability of non-English teachers to attain IAIN Manado student qualifications. This study uses a mixed research method based on an exploratory sequence. The research was conducted using IAIN Manado Purposive sampling technique, and the researcher determined the research object by specific criteria. The study results show: (1) They loved how a non-English professor teaches English. They say that if a non-English teacher is amiable in teaching, he often motivates students to learn English. They also value non-English-based lecturers. Students also actively follow teaching and learning activities, (2) Student evaluations also were found in pre-test and post-test data when post-test ratings were increased, with 7 (41.17%) having an average value, 5 (29.42%) with good ratings, 4 (23.0%) with poor scores, and 1 (5.89%) with very good ratings. This means a significant increase in English language learning by non-English lecturers.
Recurrent Neural Graph Collaborative Filtering

Collaborative Filtering (CF) is a prevalent technique in recommender systems.Substantial research focuses on learning the embedding of users and items via exploiting past user-item interactions.Recent years have witnessed the boom of Graph Convolutional Networks (GCNs) on CF.Performing graph convolution iteratively, GCN-based models concatenate/average/sum all outputs from different graph convolution layers to generate the embeddings of users and items.Although the previous methods have been proven effective, the pooling operations in the previous methods fail to consider the outputs from different graph convolution layers have different weights and the weights are related to sequential dependencies from precursor nodes.To resolve the aforementioned problems, in this work, we present a new model, Recurrent Neural Graph Collaborative Filtering (RNGCF), which proposes a sequential dependency construction module to adaptively generate the embeddings.Specifically, the module applies a gated recurrent unit (GRU) to learn the sequential dependencies from precursor nodes and an adaptive gated unit (AGU) to adaptively construct the embeddings based on the sequential dependencies.Extensive experiments on three benchmark datasets show that our model outperforms state-ofthe-art models consistently.Our implementation is available in PyTorch 1 .
A new approach for watermarking products with the buyer’s name to prevent fraud

Due to the fast development in E-commerce and E-payment fraud has become one of the most serious problems. Therefore, most of the international companies invented their own watermark so as to maintain these companies to aqueous brands from forgery and tried to find different ways to preserve it. In this paper a proposed method was suggested that aims to develop a code name for the buyer using one of the watermarking techniques to allow the buyer to certify the source of purchases before payment.
Blockchain-Enabled Consensus Routing Protocol Improving the Security Data Communication in Internet of Things Applications

The Internet of Things (IoT) and Blockchain distribution ledger technology as a concept is enchanting facilities and industrial developments with advanced implements in many applications.The IoT and Blockchain market is further expected to develop three times from current development by 2025.Though many IoT applications have major challenges in safest data transaction and scalability issues while increasing the number of IoT devices.Practical Byzantine Fault Tolerance (PBFT) is a widely used form of decentralized consent, however the network node's confidence in PBFT cannot be guaranteed, as well as the mechanism of reaching consensus will consume a large amount of network services.The article suggests the novel consensus process, which is referred to a Hybrid consensus blockchain algorithm and control authentication on Trust.The Internet of Things applications are integrated with a blockchainbased decentralized system that authenticates the IoT devices through distributed control authentication.This hybrid consensus blockchain method provides security for transactions and access to unauthorized devices is restricted.The PBFT algorithm using a decentralized network system using blockchain has no restriction of IoT devices.Even malicious users create the grouping into the network that has been controlled by the distributed control authentication method.Further then malicious users are rejected from the decentralized network.In this paper, we propose the Hybrid consensus blockchain and PBFT algorithm ensure the safest data transaction through blockchain technology and improves the performance of the decentralized network.Finally, we have presented a Hybrid Consensus algorithm to be utilized in the PBFT method which enables the safest data transaction.
Speaking fluency and EFL learners’ reluctance to speak english among primary school students: factors and evidence

Speaking is productive skill that use of utterance as the way to do communication and express the meaning with other people. Moreover, speaking English can be a bridge to communicate with foreigner. The writer wants to investigate what difficulties faced by students in speaking and what factors that influence students speaking ability. This research was descriptive qualitative research. It involved 25 students of a state junior high school in Indonesia and the participants were the eighth grade students. Observation and questionnaire were used to collect the data. The results showed that several issues of difficulties faced by students: fluency, hesitation, vocabulary, grammar, expression and pronunciation. It caused by varieties of factors, one of theme is students are seldom to discuss with their friends using English. The most factor that influences the speaking ability was cognitive factor where it involves the conceptualization, formulation and articulation when do to speak and student still not yet to do it well
Reaktualisasi Pengukuran Arah Kiblat Dengan Metode Segitiga Bola Pada Masjid Dan Musholla

An understanding of the Qibla direction is very important for Muslims, because facing the Qibla is one of the legal requirements for performing prayers. Although now the technology to determine the Qibla direction is sophisticated, it is necessary to know how to determine the actual Qibla direction. The determination of the direction of the Qibla with the spherical triangle method is based on a triangle on the surface of the globe which is formed by three large circles of the globe, namely two circles of the earth's longitude and one circle of Qibla. The intersection of the three large circles forms three points, namely point A (Makkah), point B (the location where the Qibla direction will be calculated), and point C (the North Pole). The steps in determining the Qibla direction include: (1) Prepare the data needed in calculating the Qibla direction of a place, namely latitude and longitude data for the Kaaba (Makkah city), as well as latitude and longitude data for the location/city to be calculated. the qibla direction; (2) Calculation of the Qibla direction using the formula , with: B = Angle of the direction of the Qibla of a place, C = The difference between the longitude of the Kaaba and the longitude of the place where the Qibla direction is being sought, a = 90o – tp (latitude), and b = 90o – ka (Kaaba latitude); (3) Calculation of true Qibla azimuth from true north in a clockwise direction, where true Qibla azimuth = 360o – Qibla direction angle (B); (4) Determination of the actual Qibla direction by measuring using an arc ruler as large as true Qibla azimuth from true north.
COVID-19 Contact Tracing Apps and Technologies as a tool of Mass Surveillance: A Cure Deadlier than the Disease

“Desperate times call for desperate measures” – COVID-19 contact tracing apps and technology have been operating in the desperate times created by the COVID-19 global pandemic. But the impact of these apps and technology on society is contentious, as the benefit gained from such is said to be largely outweighed by the negative impact it can have during and after the pandemic. Surveillance measures have always been a tricky business. Labeled as the ‘magical solution’ for most horrid problems of our time such as terrorism, crime prevention, it has always failed to live up to its name and has proved to be one of the prominent tools for the authoritarian regimes to oppress people and commit gross human rights violations. Over-reliance on COVID-19 apps and considering them a ‘magical solution’ to containing the spread of Coronavirus can have irreversible consequences. Instead, the pandemic and desperate situation posed by it may have provided the regimes around the world an opportunity to introduce new surveillance infrastructures or strengthen the existing ones, which would have taken years and lots of friction from courts, activists, and civil society, to achieve. The article assesses the legality of COVID-19 contact tracing apps and technology and tries to draw a picture of the society that faces the consequences of surveillance and data collected through such apps and technology and looks at how legal mechanisms can cope with such consequences.
Developing domino card learning media for the fourth grade of elementary school students

This research aims to produce quality domino card learning media products. This type of research is research and development with the ADDIE model. The ADDIE model consists of several stages, namely analysis, design, development, implementation, and evaluation. The test subjects in this study were six fourth-grade Elementary School students, SDN 08 Mataram Lombok Indonesia, with category two students with high ability, two people with medium ability, and two students with low ability. The research data were obtained using a media feasibility test, validation questionnaire for media experts, material experts, student response questionnaires, and teacher responses. Based on the trial results, it was obtained data on the results of student responses percentage of 94.3%, which were included in the "very good" criteria, and the results of teacher responses percentage of 100%, which were included in the "very good" category. The results of the expert validation obtained a percentage of 85%, which was included in the "very good" criteria, and the results of the material expert validation percentage of 100% were included in the "very good" criteria. The domino card learning media for the fourth-grade elementary school students can be said to be valid and suitable for use in learning.
TRUST BASE JOB SCHEDULING IN CLOUD COMPUTING

Cloud computing is a new technology recently being developed seriously. Scheduling is an essential issue in the area of cloud computing. There is an extensive literature concerning scheduling in the area of distributed systems. Some of them are applicable for cloud computing. Traditional scheduling methods are unable to provide scheduling in cloud environments. According to a simple classification, scheduling algorithms in the cloud environment are divided into two main groups: batch mode and online heuristics scheduling. This paper focuses on the trust of cloud-based scheduling algorithms. According to the literature, the existing algorithm examinee latest algorithm is related to an algorithm trying to optimize scheduling using the Trust method. The existing algorithm has some drawbacks, including the additional overhead and inaccessibility to the past transaction data. This paper is an improvement of the trust-based algorithm to reduce the drawbacks of the existing algorithms. Experimental results indicate that the proposed method can execute better than the previous method. The efficiency of this method depends on the number of nods and tasks. The more trust in the number of nods and tasks, the more the performance improves when the time cost increases
Remittance Inflows, Financial Inclusion, and Economic Development: An Empirical Analysis of the World Sample (Working Paper)

The main purpose of this paper is to empirically investigate the impacts of remittance inflows, financial inclusion, and economic development and whether inward remittances may help to construct an inclusive financial system. Using both endogeneity-robust generalized method of moments and a structural equation model, our results show that remittances and financial inclusions are engines of growth in countries of different income groups. This implies that the policies to attract extra inward remittances and improve financial inclusion status are of great importance and could pull middle-income countries out of middle-income traps. To this end, our empirical study helps to shed light on the development dilemma of remittance inflows and financial inclusion and to explain both direct and indirect mechanisms through which these effects may happen.
Pengembangan Media Pembelajaran Fisika Menggunakan Game Edukasi Pada Kelas Xi Di Madrasah Aliyah Nurul Hidayah Bojonegara

Verbal delivery of learning and long learning hours causes students to often play games without the knowledge of the teacher during the learning process so that learning outcomes are not optimal to achieve the specified minimum completeness criteria. This study aims to produce educational game learning media and determine student responses to educational game learning media. To be able to produce a certain product, the research steps used the waterfall model. This research was conducted at Madrasah Aliyah Nurul Hidayah Bojonegara in class XI students with data sources on learning outcomes dan syllabus. Data collection techniques used interviews, observation and questionnaires, while data analysis techniques used a likert scale. The results of the research to be achieved are a jigsaw puzzle game as a learning medium, this game is made using the Unity 3D application. from the study also wanted to know student responses about the jigsaw puzzle game as an educational game or learning media.