Reviewerly/exHarmony huggingface dataset:
Human and Technical Aspects of Content Regulation

Facebook had 2.8 billion users in 2020, and the company generates four petabytes of data a day. In addition to the legal regulation, one pays less attention to the issues of human moderators and artificial intelligence although the classification of content is done by them through the combined use of artificial intelligence and human intervention. Together they are the first line of defence in the war on unwanted content. The solution is probably not a decision between human moderation and moderation by artificial intelligence but for using them jointly in the future.
PENGARUH BENTUK PENAMPANG BLUFF BODY PERSEGI, BELAH KETUPAT, DAN SEGITIGA TERHADAP TEGANGAN LISTRIK YANG DIHASILKAN OLEH PIEZOELEKTRIK

Piezoelektrik adalah perangkat pemanen energi skala mikro yang mengkonversikan energi mekanik menjadi energi listrik. Ketika ada tumbukan pada material piezoelektrik maka akan menyebabkan terjadinya getaran serta menghasilkan tegangan dan defleksi. Metode penelitian ini yaitu dengan mengamati piezoelektrik yang bergetar akibat aliran udara yang melewati penampang bluff body untuk menghasilkan tegangan listrik.. Dimana dimensi dan tinggi dalam satu penampang bluff body persegi, belah ketupat, dan segitiga memiliki ukuran yang sama yaitu 7 cm. Kecepatan aliran angin yang dipakai yaitu 5 m/s, 7 m/s, dan 9m/s. Penelitian dilakukan di dalam terowongan angin dan jarak penampang bluff body terhadap piezoelektrik yaitu 80 cm. Hasil dari variabel bentuk penampang bluff body yang menghasilkan tegangan listrik tertinggi yaitu pada penampang bluff body belah ketupat. Hasil dari variabel kecepatan yang menghasilkan tegangan listrik tertinggi yaitu pada kecepatan 9 m/s menghasilkan tegangan listrik 5,58 volt penampang bluff body belah keupat. Akibat adanya olakan maka sirip bergerak keatas dan kebawah menumbuk piezoelektrik.&#x0D; Piezoelectric is a micro-scale energy harvesting device that converts mechanical energy into electrical energy. When there is a collision with the piezoelectric material, it will cause vibration and produce stress and deflection. This study aims to determine the effect of the shape of the cross section of the bluff body on the electric voltage generated by the piezoelectric. This research method is to observe the piezoelectric vibrating due to the flow of air that passes through the cross section of the bluff body to produce an electric voltage. The independent variables in this study were the shape of the bluff body, and the speed of the wind flow. Where the dimensions and height in one cross-section of the square bluff body, rhombus, and triangle have the same size, which is 7 cm. The wind speed used is 5 m/s, 7 m/s, and 9m/s. The research was conducted in a wind tunnel and the cross-sectional distance between the bluff body to the piezoelectric is 80 cm. The result of the variable cross-sectional shape of the bluff body that produces the highest electrical voltage is the rhombic bluff body cross-section. The result of the speed variable that produces the highest electrical voltage, which is at a speed of 9 m/s, produces an electric voltage of 5.58 volts across the body of the kept cliff. Due to the oscillations, the fins move up and down to hit the piezoelectric.
THE EFFECT OF GRAMMAR WHEEL AND MIND MAPPING ON THE STUDENTS’ WRITING OF NARRATIVE TEXT OF THE EIGHTH GRADE OF SMPN 10 MUARA TEWEH

AbstractJunior high school students like those in the eighth grade of SMPN 10Muara Teweh still have difficulty in writing narrative text. This is becausethey are still weak in terms of writing and channeling ideas to be poured innarrative texts. The purpose of the study is to know whether or not there is asignificant difference of the use of grammar wheel and mind mapping instudents' ability to write narrative text as the media. The method was anexperimental method with design of One-Shot Case Study design; theindependent variable was grammar wheel and mind mapping, and the students'writing narrative text as the dependent variable. The population and samplewere taken from the eighth grade students of SMPN 10 Muara Teweh. Thedata were analysed using SPSS 16.0 for Windows program. The result showsthat there was a significant difference of the use of grammar wheel and mindmapping as media and without them. The use of Grammar Wheel mediaaffected more significant than that of Mind Mapping in the students’ writingability in narrative text.Key Words: Grammar Wheel, Mind Mapping, Narrative text
Perancangan Tampilan Aplikasi Pembelajaran Pinandita dengan Metode Five Planes, Heuristic Evaluation, Concurrent Think Aloud, Serta Cognitive Walkthrough

The design and development of the application display uses five areas to find out more about the needs and requirements of the user, so that it will be easy to learn and understand by the user himself. The research variables used in determining the ease of use of the application are the effectiveness and efficiency of using the application display and user satisfaction with the application display used. The sampling technique used here is purposive sampling, so the total sample used is 30 people. The research sample used is divided into 2 parts, namely, the general public and people who have an information technology educational background. The data in the study were collected by conducting interviews and questionnaires for the testing phase. Each method used is representative of the research variables. The test method used in this study is a cognitive walkthrough representing the effectiveness variable, heuristic evaluation representing the efficiency variable, and concurrent think aloud representing the user satisfaction variable.
SQ3R Method in Teaching Reading: How It Improves Students’ Comprehension of Narrative Texts at SMAN 2 Trenggalek

Many students think that reading skill is really difficult and complicated. Students said that finding meaning is confusing. Sometimes students misinterpret the text even if they have sufficient vocabulary. The problem in understanding the text is likely to trigger another problem in English, such as giving up easily and being lazy to continue studying their English activity. Moreover, reading is the activity most frequently done by students. They read the lesson written by their teacher on the whiteboard and from the books. Meanwhile, reading narrative text is of reading types that are mostly discussed in senior high school. In trying to solve this problem, the writer did classroom action research in his school. This research was done to improve students’ reading comprehension in the tenth-grade students of SMAN 2 Trenggalek through the SQ3R method. The data of this research was gained from the interview, observation, test, questionnaire and English score. This research was conducted in two cycles. The result of the first cycle and second cycle indicated that the number of students who passed the test is increasing significantly. Based on the result of the study, it can be concluded that the SQ3R method can improve reading comprehension skills.
Wavelet Transformation and Spectral Subtraction Method in Performing Automated Rindik Song Transcription

Rindik is Balinese traditional music consisting of bamboo rods arranged horizontally and played by hitting the rods with a mallet-like tool called "panggul". In this study, the transcription of Rindik's music songs was carried out automatically using the Wavelet transformation method and spectral subtraction. Spectral subtraction method is used with iterative estimation and separation approaches. While the Wavelet transformation method is used by matching the segment Wavelet results with the Wavelet result references in the dataset. The results of the transcription were also synthesized again using the concatenative synthesis method. The data used is the hit of 1 Rindik rod and a combination of 2 Rindik rods that are hit simultaneously, and for testing the system, 4 Rindik songs are used. Each data was recorded 3 times. Several parameters are used for the Wavelet transformation method and spectral subtraction, which are the length of the frame for the Wavelet transformation method and the tolerance interval for frequency difference in spectral subtraction method. The test is done by measuring the accuracy of the transcription from the system within all Rindik song data. As a result, the Wavelet transformation method produces an average accuracy of 83.42% and the spectral subtraction method produces an average accuracy of 78.51% in transcription of Rindik songs.
Perbaikan Citra Noise dengan Menggunakan Algoritma World Cup Optimization

At this time the use of computer technology has grown rapidly and in society. Most people use it not only for commercial purposes, but also to get disease detection information quickly and efficiently with computer-based applications. The world cup optimization method aims to reduce noise by determining the kernel matrix and works by replacing the intensity value of each input image pixel with the average of the kernel weighted value for each neighboring pixel and the pixel itself. In the process of reducing the kernel size noise greatly affects the image quality results. This research has produced an application program to reduce noise with world cup optimization. The test image used in this study uses a color image. The image is input and displayed on the program
Analysis of Livestock Meat Production in Indonesia Using Fuzzy C-Means Clustering

The production of livestock in Indonesia is one type of food that the public can consume. Indonesia is still importing meat for food for its people. This study aims to classify provinces in Indonesia with high livestock meat production and low livestock meat production so that the government can maximize areas with high livestock meat production and can seek to increase livestock meat production in areas with low production. Clustering is needed to identify groups of livestock meat-producing provinces with high and low production. The data is grouped into 2 clusters using FCM with a silhouette index value of 0.95664, the first cluster with the highest meat production total in three provinces (West Java, Central Java, and East Java) and the second cluster with the lowest meat production total 31 provinces. West Java, Central Java, and East Java mostly work as livestock breeders due to the availability of sufficient land.
Analisis Jaringan Saraf Tiruan dengan Backpropagation pada korelasi Matakuliah Pratikum Terhadap Tugas Akhir

Backpropagation is one of the methods contained in a neural network that is able to train dynamic networks using mathematical knowledge based on architectural models that have been developed in detail and systematically. Backpropagation itself is able to accommodate a lot of information that serves as a useful experience. The purpose of this research is to make it easier for AMIK Tunas Bangsa Pematangsiantar students to determine the topic of their final project with practical value so that they can do their final project quickly. So the authors conducted research using correlation in determining the topic of the final project. The data in this study were obtained directly from the AMIK Tunas Bangsa Education academics in Pematangsiantar City. The data used uses data on practical grades of AMIK Tunas Bangsa Stambuk students 2017 from semester 4 to semester 6. There are 5 network architecture models used in this study, namely 5-1-2, 5-6-2, 5-8 -2, 5-10-2, and 5-12-2. From the results of trials conducted with MATLAB software, the best architecture is the 5-1-2 model with an accuracy of 47%. Based on this background, it is hoped that the research results can help students in determining the topic of the final project
Analisis Trending Topik Twitter dengan Fitur Ekspansi FastText Menggunakan Metode Logistic Regression

Twitter is a social media that contains information such as the latest news, a person's biography, and tweets from users. Twitter has a feature called trending topics that serves to find out information on certain topics that are currently popular. In fact, it is often difficult to understand what trending topics are happening. Therefore, it is necessary to classify trending topics into a general category. This study aims to analyze and classify Twitter topic trending information by dividing several topic trend labels using the FastText expansion feature method. The FastText expansion feature is used to reduce vocabulary mismatches in a tweet. The classification process of this system will use the Logistic Regression method. The best results were obtained in this study using test data scenarios, 90:10 training data with 76.39% accuracy. The most discussed trending topic from September 2021 to October 2021 was politics with a percentage of 15.83%, followed by religion 12.64% and technology 10.42%
THE ILLOCUTIONARY ACTS OF SECOND SEMESTER STUDENTS IN SPEAKING IN PROFESSIONAL CONTEXT AT UNDIKMA

This research aims to find out the types of illocutionary acts are performed in second semester students (speaking in professional context subject) at UNDIKMA in teaching and learning process. This research applied descriptive qualitative approach. The data collection techniques in this study were the free of charge listening technique and note taking technique. The data analysis technique in this study used the pragmatic equivalent method. Based on the data analysis the conclusion can be drawn is the types of illocutionary acts found are assertive, directive, commissive, and expressive.
Evaluation Approach for an Effective Blockchain Implementation in an Accounting Environment

Blockchain has the potential to revolutionize accounting transactions in the same way the Internet revolutionized the collection and dissemination of information.Nonetheless, like the Internet, blockchain technology is a double-edged sword offering tremendous benefits but also drawbacks.The literature points to inadequacies in blockchain implementations, particularly when evaluating and selecting controls to help ensure an effective blockchain implementation in organizations.This research develops an approach that not only addresses the inadequacies identified in the literature, but also prompts organizations to a more precise evaluation and selection of controls to achieve effective blockchain implementation.The approach uses Desirability Functions to quantify the desirability of each control after considering its benefits and drawbacks, providing organizations with an objective metric when assessing and selecting controls.Through a case assessment exercise, the approach proved successful in providing accurate evaluation, ranking, and potential selection of controls for organizations to consider when implementing blockchain accounting technology.
THE USE OF PRE-QUESTIONING TECHNIQUE AND INSTAGRAM TO COMPREHEND NARRATIVE READING TEXTS

ABSTRACTThe study was conducted to know the effect of pre-questioningtechnique and Instagram on reading comprehension of narrative text of legend.True experimental in randomized-groups-posttest-only control group design wasapplied to the tenth grade students of SMAN 3 Palangka Raya in academic year2017/2018 chosen as the sample of the study. Reading test in form of multiplechoice was used as the main instrument in order to collect the data needed. Thedata obtained were analyzed statistically using Mann-Whitney U Test. The resultof this study shows that the use of pre-questioning technique and Instagram gave asignificant effect on reading comprehension of narrative text of the tenth gradestudents of SMAN 3 Palangka Raya in Academic Year 2017/2018.Keywords: Pre-questioning technique, instagram, reading comprehension
USING A NEURAL NETWORK FOR PRICE PREDICTION OF VIRTUAL ASSETS

Due to the structure of recurrent neural networks, they are used for the prediction tasks, such as price prediction. The price prediction tasks are based on the historical data of price movements during the specified period. This data can be used for training the recurrent neural network for price prediction. Expected, that the neural network will recognize specific patterns in sequential data and will be able to predict the next trends etc. From the 2021 year, virtual assets such as Bitcoin increase their popularity all around the world. Virtual assets such as Bitcoin are classified as highly volatile assets. For this type of asset, the prediction task is so important, due to the ability to make a long and a short position several times per day, week, etc. Using the recurrent neural network, against the ARIMA methods, can help to include the other data except for the price history. For example, it can you the history of several operations for these assets per day, the price history of the other virtual assets, that can have some relations with, etc. In this article, as a first step, work was focused on properly formatting the price history data for achieving the lowest prediction error. Also, the idea is to create a framework for working with different virtual assets for prediction. The problem with using a neural network for prediction is that absolute values of virtual assets price are not stationary. And the neural network training process stuck between the minimum and maximum values of training data. It creates a problem, where the trained neural network cannot handle the data, that is bigger than the trained and it always tried to predict the value in the trained range. This work, investigated the neural network for single prediction only. Also, was compared the two possible ways to format the data to the stationary data. Key words : recurrent neural networks, prediction, virtual assets.
PENGEMBANGAN MEDIA MOONSTAR (MONOPOLI SUPER PINTAR) PADA TEMA 2 KELAS IV MI AL-FIRDAUS BANDUNG

This research was tried in grade IV MI Al-Firdaus Bandung aims to improve education using media facilities Domino smart in thematic subjects "Always Save Energy". This research listed the type of R&amp;D development through the research stage using the ADDIE coverage model. Information collection includes Analysis, Design, Development, Implementation, and Evaluation sessions. From the form of this research creates data information with results by media experts get a value of 92% with very good criteria after that, the results of the module expert get a value of 83% with a good criteria value once. There is also a poll of teachers' reactions to the defense media that researchers have spread to get an average score of 91% which means the criteria are very good. The next stage of student results assessment with the use of extraordinary smart domination media gets a gain score of 0.51. Until it can be taken asimion through the development of educational media domination is amazingly smart able to improve learning outcomes and can be used like an educational media.
Modulation recognition algorithm based on mixed attention prototype network

针对极少量带标签样本条件下的通信信号调制识别难题, 提出一种基于混合注意力原型网络的调制识别算法。综合元学习和度量学习的思想, 在原型网络框架下通过特征提取模块将信号映射至一个新的特征度量空间, 并通过比较该空间内各类原型与查询信号之间的距离确定查询信号调制样式。根据通信信号IQ分量的时序特点设计了由卷积神经网络和长短时记忆网络级联的特征提取模块, 并引入卷积注意力机制提升关键特征的权重; 采用基于Episode的训练策略, 使算法可泛化到新的信号识别任务中。仿真结果表明, 所提算法在每类信号只有5个带标签样本(5-way 5-shot)时平均识别率可达85.68%。
Bilingualism in English as a Foreign Language (EFL) Classroom Context

This study explores the process and obstacles of bilingualism at SMP Muhammadiyah 3 Yogyakarta. The research was descriptive qualitative research. The samples of this research were 20 students. The data used were collected from observation, questionnaires, interviews, and documentation. This data sources were students of grade VIII and one English teacher at SMP Muhammadiyah 3 Yogyakarta. Data analysis was performed using a Linker's scale for questionnaire data, data reduction, data presentation, verification, and conclusions. The results showed that students' interactions with students and students with teachers in the bilingual class of SMP Muhammadiyah 3 Yogyakarta in the learning process were still ineffective and experienced difficulties that hinder the interaction process. The findings were as follows (1) Students still felt insecure if they had to use full of English to interact with friends in a bilingual class, they still felt afraid of mispronouncing English correctly and adequately, they did not master vocabulary well, and they used English in bilingual with the teacher only in the classroom. (2) The obstacles that students experienced in the teaching and learning process in a bilingual class as follows: Students still felt ashamed to use English to interact in a bilingual class, they still taught that using English was not a necessity in a bilingual class, sometimes, Bahasa Indonesia was still a language to interact with friends, and they were still afraid of using English by with excellent and correct English in pronunciation.
Mongolian Sign Language Recognition Model

Sign language is a gesture-based manual used by people with hearing impairment and spoken language disorder to communicate with others. There is no universal sign language — the most used one is the American Sign Language. Mongolian Sign Language (MSL) has hand signs for letters of the alphabet, numbers, and other commonly used words. There are an estimated 16000 MSL signers. The lack of means to translate MSL into the Mongolian language, such as professional interpreters or translator applications, hinders MSL signers’ freedom of expression and political and public participation. Here, we created an MSL recognition system model that uses a camera to capture the letter symbols for the MSL alphabet and translates them into written Mongolian words. The proposed model uses two machine learning models that 1) recognize input, sorts, and filters, and 2) process Mongolian language. The model had an F1 score of 0.8678, given 51 distinct hand gestures. The natural language processing model that forms words had sufficient performance, though it can be improved in further works.
TERNATE MALAY LANGUAGE INTERFERENCE IN INDONESIAN LANGUAGE LEARNING PROCESS

Ternate Malay Language Interference in the Indonesian Language Learning Process. This research was conducted with the aim of explaining the interference of the Ternate Malay language in the Indonesian language learning process for the eighth-grade students of Banau National Junior High School, Ternate, and describing the factors that cause interference in the learning process of Ternate Malay for eighth-grade students of Banau National Junior High School, Ternate. This study used the descriptive qualitative method. The data used are primary data and secondary data. The data sources were 28 students who spoke Ternate Malay. Data collection techniques, namely: observation, interviews, documentation, and speaking. The data analysis technique uses descriptive qualitative which includes the process of data reduction, data presentation, summarizing, and verification. The results of the data analysis concluded that the form of interference in the Ternate Malay language in the Indonesian language learning process, namely: (1) interference in the form of words, sentences, phrases, and clauses and (2) the factors causing interference in the Indonesian language learning process was caused by: habit, influence opponents of speech, students are more comfortable using Ternate Malay, have not realized or used to use Indonesian in the learning process.