Reviewerly/exHarmony huggingface dataset:
Létezik olyan, hogy nőies, férfias és semleges emotikon? : 12 emotikon minősíthetőségének vizsgálata egy kérdőíves attitűdvizsgálat alapján

This paper is related to research on language use on the Internet and gender linguistics. It briefly describes an online questionnaire attitude survey conducted in November 2020. In this questionnaire, it was examined whether women and men communicate differently in the discourse-type called chat, in the opinions of informants who filled in the questionnaire. This main research question was addressed by the overall research in several different ways. One focal area was the use of emoticons. In the study I present the results of one task from the questionnaire that asked informants to classify twelve emoticons as feminine, masculine, or neutral without any context. Therefore, classification had to be performed based on the way the emoticons were represented. The twelve emoticons were shown to the informants in a picture attached to the task. According to the results some tendencies can be identified in the visual appearance of emoticons which can imply feminine, masculine, or neutral qualification even without context. But these are only general statements whose contextual validity is shaped by certain factors. For instance, the nature of the relationship between two communicating parties can affect what emoticons are used, regardless of the gender of the parties.
Modeling The Types of Online Learning Media Using Multiple Linear Regression Analysis

The research objective is to model the types of learning media Whats App Group, Google Classroom, Zoom and YouTube with multiple linear regression analysis. Multiple linear regression analysis is a linear regression model with one continuous variable and k (two or more) independent variables. This type of research is quantitative research that can model several types of online learning. The object of study in this research is STKIP Pembangunan Indonesia students with a sample of 25 people. The source of data comes from primary data by giving questionnaires to students. Based on the results of the analysis, the type of online learning model obtained is = 70, 376 + 0, 357x1 + 0, 322x2 − 0, 279x1 − 0, 321x2 + ε with a contribution of 21.2%. From the resulting regression model, the best learning models or those often used by Lecturers at STKIP development are WhatsApp Group and Google Classroom. In addition to multiple linear regression analysis, other methods can also be used to model types of online learning media with the addition of media such as LMS Moodle, Edmodo and others.
Animasi 2D Corona Virus Desease 19 (Covid 19) Sebagai Media Edukasi Anak - Anak

The development of technology is currently growing very rapidly making it easier for the community to convey information. 2D animation can be a means of socialization for the sake of interesting and efficient information. In the midst of the widespread Covid-19 outbreak in Indonesia, the government took several steps to minimize the spread of Covid-19 by socializing including to schools. The school always reminds its students to comply with health protocols. However, less interesting socialization makes children less enthusiastic in understanding the purpose of socialization. The purpose of this research is to make a 2D animated video about Covid-19. This 2D animated video is made as attractive as possible with characters and sound effects that children like so that children become interested in learning and understanding about covid-19. Based on the results of this educational media test, it has been tested on children and helps children in the process of delivering information about covid 19 more effectively and interestingly. Of the 20 respondents, 60% (12 people) agreed that animated videos help children understand covid 19
Research on the Problems and Countermeasures of Deep Cooperation between Universities and Enterprises in Higher Education

With the continuous reform of subject education in colleges and universities and the deepening development of University-enterprise cooperation, deep University-enterprise cooperation has new characteristics. However, the policy and management mechanism of University-enterprise cooperation is not perfect. The realistic obstacles of the University-enterprise teacher community and the integration mode of University-enterprise resources become the critical issues in the in-depth cooperation. This paper analyzes the main problems existing in the deep cooperation between universities and enterprises. It proposes solutions to the problems encountered in the cooperation, such as educational ideas, policies and regulations, and resource integration.
E-Commerce Pemasaran Hasil Panen Komoditas Pertanian Menerapkan User Centered Design

Based on statistical data, Boalemo Regency is the largest producer of agricultural commodities in Gorontalo Province. Agricultural commodities harvested are rice, coconut, cocoa, palm oil, cloves, corn, sugarcane, coffee, nutmeg, palm sugar, cashew nuts, chili, onion, mango and various other types of fruits and vegetables. However, the lack of information in the agricultural sector is an obstacle to the marketing process of agricultural crops in Boalemo district, where currently the marketing process is still carried out conventionally either through intermediary traders, direct marketing from market to market, and there are also those who use the services of agricultural cooperatives, so that farmers as Producers sometimes only accept market prices which are generally determined by intermediary traders so that the biggest profits are usually obtained by traders. The purpose of this study is to design an e-commerce marketing of agricultural commodities based on a multiuser website with the User Center Design (UCD) method so that it makes it easier for farmer users in the marketing process with a wider and economical marketing area coverage. Website design using PHP programming language and MySQL data storage media. User Centered Design approach where users in every stage of system development are also involved, so that the system formed can be used according to user needs. The results of the discussion of this study produce a user-friendly system because for farmer users there is access to product data management from the input process to the ordering verification process according to the available stock so that this system in Nilia is easy to use during the transaction process for both farmer users as traders and the community as consumers.
Developing Management Application for State Properties at State Islamic Institute of Palopo

This study aims to: (1) Obtain an information system for monitoring the use of State-Owned Goods inventory at IAIN Palopo (2) The system built can be a solution in managing and monitoring the use of State-Owned Goods inventory. The type of research used is Research and Development (R &amp; R&amp;D), with the Waterfall Model development model consisting of five stages, namely Requirement Analysis and Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, and Operation maintenance. The results of this study are in the form of an information system that can facilitate data management and monitoring the use of State Property at IAIN Palopo.
Peningkatan Indeks Pembangunan Manusia (IPM) Melalui Pelatihan Tutor Matematika Pusat Kegiatan Belajar Masyarakat (PKBM) Kabupaten Takalar

The training activity which was attended by mathematics teachers who were members of the partner group of the Subject Teacher Consultation (MGMP) of Takalar Regency used information technology in the form of a smartphone application as an alternative to improving the quality of student learning in schools. There are six smartphone applications that are trained for teachers as a first step in getting to know various other applications, namely Math Tricks, Math Expert, Mathematics Dictionary, Malmath, Photomath, and Freaking Math. The six applications are contained in the training manual which is distributed to each participant before the training materials are presented .The output of this training is that teachers can master applications that are suitable to be applied in their respective school environments to facilitate the learning process.
MEMFASILITASI MINAT BACA MASYARAKAT MELALUI PERPUSTAKAAN FISIK DAN DIGITAL DUSUN KARANGMOJO

The current Covid-19 pandemic has caused children to study online. Thus, children are increasingly opening and playing gadgets. Not a few children spend their time just playing 'online games'. Adults who do activities or work from home on average spend their time using gadgets. With this phenomenon, people's interest in reading has decreased. One way to increase people's interest in reading is by making the Karangmojo Village Community Reading Corner. In the era of globalization as it is now, this Community Reading Corner not only provides a physical library but also provides a digital library that can be accessed via the Handy Library aplication by the people of Karangmojo Village.
Using Median-LBPH Algorithm for Real-Time Face Recognition System

Abstract: The LBPH algorithm is used ubiquitously for Face Recognition applications in modern times because of its simplicity of implementation, despite providing high accuracy and less computation time. However, in conditions of varied illumination, face expression and angles at which face images are captured, its confidence is decreased. We propose a slightly modified algorithm that considers the median of the neighbourhood pixels rather than the pixel itself to overcome this issue. This algorithm is called Median-LBPH. The grey value of every pixel is replaced by the median of all the neighbourhood pixel values. Then the features are extracted, and a histogram representing the original image is saved in the model. This model, in turn, can be used to compare with histograms obtained from the faces in real-time footage to find a potential match. This algorithm is used in an end-to-end face recognition system, a web application prototype for Law Enforcement Agencies to maintain a central criminal database shared and accessed across various departments. A live surveillance system is added as part of this novel application so that whenever an already registered criminal appears live on surveillance cameras, a notification will be received, and personnel appropriate Law Enforcement authorities will receive e-mail and text messages through a secured channel. Keywords: Face Recognition, Median-Local Binary Pattern Histogram (MLBPH), Haar Cascade, Adaboost, Neighbourhood Median
The Effect of Using Reading Short Story in Students’ Vocabulary Mastery at SMP HKBP Pajak Baru Belawan

This research was aimed to answer the question about the implementation of short story technique whether it can enrich the students’ English vocabulary at Class VIII SMP HKBP PAJAK BARU BELAWAN or not, This is an experimental research. the writer tested the null hypothesis (Ho) which stated that the use of short story cannot enrich the students’ English vocabulary at Class VIII,.The text that used for short story technique in this reseacrh was monologue text (a text that displays story teller) this research focused on narrative text (imaginative experiences) particularly, narrative text was related to the syllabus of the second semester for second grade of junior high school. After the Pretest, Treatment and Post test, there is a significant difference of mean score got both of experimental group (75.25) and the control group (72,75). T-observe &gt; T – table ( P = 0,05) df (38), or 4,46 &gt; 1,686 (P = 0,05). It means that alternative hypothesis (Ha) is accepted and null hypothesis (Ho) is rejected. Thus it can be conclude that by using Reading Short Story affects the students’ vocabulary masterthat there is a significant effect of Reading Short Story in students’ vocabulary mastery. In other words, alternative hypothesis (Ha) is accepted and null hypothesis (Ho) is rejected Keywords: implementation of short story technique,reading short story
A Pedestrian Detection Algorithm Based on Channel Attention Mechanism

The main contribution of this paper is to introduce the channel attention mechanism into the feature extraction network, and propose the channel attention mechanism module CA, which realizes the efficient fusion of multi-scale features. The deformable convolution is used to replace the traditional convolution operation, and a new detection head is designed, which can predict the position of pedestrians more accurately than the original detection head. CSP is a pedestrian detection algorithm with high accuracy and fast speed, and its structure is very simple. However, there is still great potential for improvement in multi-scale feature fusion and detection head design. This paper proposes a pedestrian detection algorithm based on channel attention mechanism, which is called CA-CSP. On the basis of the original CSP algorithm, the channel attention mechanism module CA is added, and the original detection head is replaced with a detection head based on deformable convolution. The new annotation is used to evaluate the proposed pedestrian detection algorithm CA-CSP on Caltech pedestrian dataset. On the reasonable setting, using a single Nvidia 1660 GPU, CA-CSP has obtained 3.97% of MR <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−2</sup> , and the original algorithm CSP has reached 4.59% of MR <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−2</sup> . Compared with CSP, CA-CSP has lower MR <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−2</sup> . Therefore, CA-CSP has better performance than the original CSP algorithm.
INCREASING VOCABULARIES TO SUPPORT LANGUAGE SKILLS BY FIFTH SEMESTER STUDENTS OF AKRB YOGYAKARTA

This research was to figure out the students’ ways of increasing vocabularies to support language skills of fifth semester students of Radya Binatama Broadcasting Academy Yogyakarta. Class activities were insufficient for each student to learn maximally. This hindrance made some students to be more creative in learning vocabularies to support their language skills of English. The study was categorized as descriptive qualitative research. The writer used documentation, observation, in-depth interview, data triangulation and open-questionnaire methods. To analyze the data, the writer used constant comparative study. The results were as follows: first, the students increased vocabularies through listening from news and interview programs on TV and radio, music and films from their private collections such as CD, DVD, cassette or learning from the family member. Second, they increased vocabularies through reading from text, book, novel, newspaper and film/ song text. Third, they increased vocabularies through speaking by oral repeating from song and film, taking part in debating activities or competitions, making conversation in working place or in the organization, and delivering speech. Fourth, they developed vocabularies from writing via emails, composing story, writing articles and diary. Fifth, in translation, they used both internet because of the time efficiency and also dictionary.&#x0D; Keywords: increasing vocabularies, students, language skills
experDesign: stratifying samples into batches with minimal bias

The design of an experiment is critical to its success.Nonetheless, even when correctly designed, the process leading up to the moment of measuring a given variable is critical.At any one of the several steps, from sample collection to measurement of a variable, various errors and problems can affect the experimental results.Failure to take such variability into account can render an experiment inconclusive.experDesign provides tools to minimize the risk of inconclusive results by assigning samples to batches to reduce potential batch effects.
WIRELESS SENSOR NETWORKS TO RESOLVE THE ENERGY SOURCE CONSUMPTIONS DUE TO TRANSMISSION OF HEALTHCARE DATA

The need for Wireless Sensors Networks (WSNs) in real-world applications like mobiles multimedia for medical institutions is skyrocketing.Nevertheless, one of the major impediments to increased investments in this innovation is the power issue.They suggest a novel approach in this study to overcome challenges caused by restricted power sources.Rather than a binary transmitter, that uses amplitudes/ phases, modulators /demodulators units to enhance the number of bits transferred per symbol, some quaternary transceivers (in the design on the nodes of a sensor) is used.Because of the additional bits communicated by each symbol, the systems will use less power during transmitting.Furthermore, for energy-constrained WSNs, Neural Networks Statics Randomly Accesses Memories (NN-SRAM) solution in some clustered-based systems is provided.During the data's dissemination procedure, the technique minimizes overall
Quality of Building Information System Services in the Management of Building of Merauke Regency

An observation was made when a new website was launched through the ministry in order to improve the service quality of the Building Information System in the Management of Building Permits (SIMBG) at the One-Stop Integrated Service and Investment Service of Merauke Regency which consists of five quality dimensions, namely: tangibility, reliability, responsiveness, assurance, and empathy. The purpose of this research is to describe the service quality of the Building Information System (SIMBG) in making Building Permits at One-Stop Integrated Service and Investment Service. The research is a descriptive with a qualitative analysis approach in its method. The data collection techniques are: theoretical studies and field studies consisting of observations and interviews. 10 informants were interviewed in the study. They are five informants of IMB officers at DPMPTSP and five informants from the community who have made IMBs online. There are 3 data analysis techniques used, namely data reduction, data presentation, and drawing conclusions/verification. The conclusion of this study illustrates that the use of the 5 dimensions of Parasuraman has met the standards of SIMBG Service Quality at DPMPTSP Merauke Regency in the management of IMB. However, there are some shortcomings and things that have not been met, such as the length of time the applicant data upload process takes, the appropriate length of time for issuance, and coordination with each sub district in Merauke Regency regarding more intensive socialization of online licensing at the Merauke Regency DPMPTSP. Apart from that, it has shown that in general the quality of service is quite optimal in providing public services regarding existing permits in Merauke Regency.
Review of Leading together: Academic library consortia and advocacy

Review of Herold, I. M. H. (2021). Leading together: Academic library consortia and advocacy. Association of College and Research Libraries.
Potential of Mobile-Based Apps Online Platforms in Fast-Tracking Access of Agriculture Information

Objectives: This paper report the potential of online mobile phone-based platforms in fast-tracking access of agricultural information to farmers, with a case study of Arusha, Tanzania.Method: We used the questionnaire-based and focus group discussion methods and a total of 156 respondents were randomly selected for data collection.Findings: The results showed that 77.6% of respondents possess smartphones and 32.7% of them use internetbased platforms to search for agriculture information which usually is not applicable or specific in their local Arusha context.Such finding raised a need for developing internet-based platform for accessing agricultural information by farmers for use in their local context.Thus, the same respondents were assessed for their readiness to use a mobile-based agricultural app if developed.The results indicated that 80% of the respondents were willing and would use the app.Novelty: The paper demonstrated how mobile phonebased apps can be used to quicken accessibility of agricultural information in a local-based, context-specific location.
Multimedia Interactive Learning on Indonesian Language Content

The impact of covid-19, which requires all types of learning activities to be carried out online. As a result, teachers have limitations in finding learning media suitable for student characteristics and suitable for use in online learning conditions. The purpose of this development research was to determine the feasibility of designing interactive multimedia learning. This type of research is development research. The research model used is the ADDIE model. The subjects of this study were 3 grade III elementary school students. The data collection methods used were observation, interview and questionnaire methods. The product design test was carried out by several experts and students, learning material experts, learning design experts, instructional media experts, and individual trials consisting of three students. The form of data analysis used in this research was descriptive quantitative data analysis. Based on the results of the study, showed the feasibility percentage level of interactive multimedia according to learning material experts was 95%, the percentage level of the feasibility of interactive learning media according to learning design experts was 90%, and according to individual trials, the percentage level of the feasibility of interactive learning multimedia was 96.52% with excellent qualifications. This development research indicated that the development of interactive multimedia learning assisted was suitable for use in the learning process on Indonesian language content in literary appreciation for grade III elementary school students.
Predictive Analytics with Machine Learning for Fraud Detection

Abstract: The popularity of online shopping is growing day by day. In financial year 2021, over 40 billion digital transactions worth more than a quadrillion Indian rupees were recorded across the country. As the number of credit card users rise world- wide, the opportunities for attackers to steal credit card details and subsequently, commit fraud are also increasing. Since humans tend to exhibit specific behavioristic profiles, every cardholder can be represented by a set of patterns containing information about the typical purchase category, the time since the last purchase, the amount of money spent etc. So these frauds can be detected through various algorithms mainly random forest and logistic regression. To enhance the boost and build model with much more efficiency adaboost is also added. Keywords: Fraud detection, behavioristic profile, random forest, logistic regression, adaboost
On Lexicographic Proof Rules for Probabilistic Termination

We consider the almost-sure (a.s.) termination problem for probabilistic programs, which are a stochastic extension of classical imperative programs. Lexicographic ranking functions provide a sound and practical approach for termination of non-probabilistic programs, and their extension to probabilistic programs is achieved via lexicographic ranking supermartingales (LexRSMs). However, LexRSMs introduced in the previous work have a limitation that impedes their automation: all of their components have to be non-negative in all reachable states. This might result in a LexRSM not existing even for simple terminating programs. Our contributions are twofold. First, we introduce a generalization of LexRSMs that allows for some components to be negative. This standard feature of non-probabilistic termination proofs was hitherto not known to be sound in the probabilistic setting, as the soundness proof requires a careful analysis of the underlying stochastic process. Second, we present polynomial-time algorithms using our generalized LexRSMs for proving a.s. termination in broad classes of linear-arithmetic programs.