Reviewerly/exHarmony huggingface dataset:
Penerapan Regresi Linier Untuk Prediksi Jumlah Kasus Covid-19 di Provinsi Riau

Covid-19 or 2019 corona desease 2019 was first discovered in wuhan China in 2019, to this day the corona virus case continues worldwide. In Indonesia the covid-19 deployment case is not yet complete. One of the areas affected by the pandemic was the riau province. The covid 19 in the province of riau was itself quite high, even being designated as a red zone by the covid-19 task force. Governments continue to seek to reduce the spread of the virus, but one is by conducting a central government guide to vaccination. The purpose of this research is to predict the success of governments in vaccination. Data processing is prepocessing data and validating, then predictions are made. The result of this research is that in the next 1 month the forecast will drop. This is due to an 8.1 % drop in mortality and an 88.7 % rise in mortality. This means that the efforts of riau's provincial government in suppressing covid-9 cases with the vaccination movement have been successful
Implementation of the FP-Growth Algorithm in Sales Transactions for Menu Package Recommendations at Warung Oemah Tani

Along with the rapid development of the culinary industry, business competition is also getting tougher. Warung Oemah Tani serves a variety of menus and drinks, but to provide satisfying service to customers, business people must try to develop new products. Under these circumstances, the menu recommendations for Warung Oemah Tani need to be analyzed so that the recommendations made are right on target. This study aims to analyze the sales of Warung Oemah Tani using the FP Growth algorithm. This algorithm identifies the data set with the highest frequency of concurrent sales (frequent itemset). The results of the association rules show that the highest support value is 0.520 and the highest confidence value is 0.929, with a minimum support of 30% and a minimum confidence of 80%. Obtained 14 rule associations that meet the minimum support and minimum confidence.
Unilever’s Customer Data Management Information System in Medan City and Approaches to Android Smartphone and IoT Flexibility

A web application is a type of application that uses browser technology to run an application accessed via a mobile network. In this case, the web application can also assist in collecting customer data, especially those carried out by Unilever companies, where the system is quite efficient and accurate in collecting customer data. This system also makes it easier for companies engaged in data collection. In this case, the employees can easily record every customer and see the number of products used and selling well in the market. This is where the Unilever company will know how many products will continue to be produced and marketed. Furthermore. This paper discusses the development plan for this W.E.B. application towards Smartphone mode and development towards the Internet of Things for flexibility when accessing and getting data in real-time.
PENERAPAN MODEL E-LEARNING DENGAN MOODLE DAN PENGEMBANGAN BOOKMARK UNTUK PENYUSUNAN LAPORAN DOKUMEN ILMIAH

Today's information technology is very important during this pandemic, the internet appears as a savior for the learning process in schools that have been stopped due to concerns over the transmission of the COVID-19 virus. The use of E-Learning Applications, video conferencing, Google Meet is a substitute for the closed face-to-face communication space in learning. Based on the results of survey in SMK Negeri 2 Lhokseumawe schools, that use the E-Learning method an alternative to solving learning problems to prevent the transmission of the corona virus disease (Covid-19). Second, the preparation of scientific documents to make reports is very important and the development of financial reports with office excel. The current problem is the lack of understanding of students in providing material by using Moodle application tools, secondly, the lack of understanding of material delivery in making scientific documents in the form of automatic table of contents with bookmarks. Therefore, the importance of this training for teachers and new students in understanding the applications developed. The implementation method is the activity process begins with the provision of material starting from the introduction of web services, Moodle software installation. How to set courses, course management and user management by utilizing the Moodle application. Teachers are also taught the process of uploading materials and online quizzes. Students not only get office materials but also get a way of compiling a table of contents automatically with bookmarks. The results of this service have an impact on schools regarding problem solving in the application of E-learning, post-test questions and answers, and assignments. Furthermore, there are interesting bookmarks that are of interest to students in improving student learning in preparing financial reports and documents.
Implementasi Metode Latent Semantic Analysis Pada Peringkasan Artikel Bahasa Indonesia Menggunakan Pendekatan Steinberger Jezek

Currently, various types of news media that are developing have their own challenges, one of them is the increasing number of digital or online media. The increasing number of digital media in the form of online news sites not only has a positive impact on society, but also poses challenges. The more the number of online news portals increases, the more information is spread out. With a variety of topics and diverse information, it creates problems for readers to make time efficient in reading in full to obtain the desired information. This makes the phenomenon of text summarization very important. The purpose of this study is to analyze the Latent Semantic Analysis method in the text summarization process. The dataset used comes from previous research which includes 100 Indonesian news articles from various online news portals. In the experiment process, the Steinberger and Jezek techniques are used for the sentence selection process. The summary process is carried out using three types of compression rates, namely 10%, 30% and 50%. The best results obtained in this study are the precision value of 20% at a 10% compression rate, a recall value of 42% at a 50% compression rate, and an f-measure value of 22% at a 50% compression rate.
Penerapan Metode Linear Regression dalam Mengestimasi Jumlah Penduduk

A population is a group of people who live in an area to settle with existing needs. Population growth is growing rapidly to date, so action is needed to anticipate the rate of population growth. This study aims to estimate the population of the province of North Sumatra by using computer science techniques. The source of research data comes from the Central Statistics Agency (abbreviated BPS) Indonesia. The data used is the 2010-2020 dataset which consists of the total population consisting of men and women in Indonesia. The data is processed using Rapidminer software. This algorithm was chosen linear regression because it is able to make an estimate by utilizing old data. So that it can produce a pattern of relationships between the attributes that affect the rate of population growth. The research results obtained can be used as recommendations or input to the subsection of population data collection at the BPS North Sumatra in making it easier to predict or estimate data so as to minimize the rate of population, especially in Indonesia.
Klasifikasi Data Penduduk Untuk Menerima Bantuan Pangan Non Tunai Menggunakan Algoritma Naïve Bayes

Indonesia's population reaches 273,879,750 people, and it is known that every year it is increasing, so that population movements begin to occur from island to island. The population movement is carried out by everyone with the aim of getting a job to fulfill the necessities of life. However, not all of them can be fulfilled, even though there are still people who fall into the poor category, one of which is part of the population in the village of Bapinang Hulu. In the Bapinang Hulu village there is a Non-Cash Food Aid which is used to help the poor. The Non-Cash Food Assistance Program for the poor should be carried out with the right target. To overcome this, it is necessary to analyze population data. The analysis was carried out using the Nave Bayes Algorithm by dividing the dataset into training data and testing data. Testing the data 9 times to determine the accuracy of the results of research analysis in the search for the Accuracy performance vector value. The results showed that the accuracy performance vector value reached 90.00%. So it is known that the Naive Bayes algorithm is able to analyze population data for determining Non-Cash Food Aid in the upstream bapinang village.
Pengembangan Layanan Kependudukan Dan Pencatatan Sipil Menggunakan Algoritma Naïve Bayes

The “pick-up ball service” program or commonly called mobile services is a form of developing services for the Population and Civil Registration Service (disdukcapil), especially Alor NTT Regency, which aims to reach people who have difficulty getting services due to various obstacles, including due to long distances and difficult access to service centers. Disdukcapil is an implementing agency in the district that is obliged to ensure that all residents, both Indonesians and foreigners, are recorded in the population database, have a NIK, and population documents. In its implementation, not all villages can be served due to insufficient time and funds, so it is necessary to select villages that are worthy of being served by “ball pick up service” or mobile service programs. So far, the determination of villages that are worthy of the program is still determined manually so that it is inseparable from the element of subjectivity. In this study, a classification method was used in data mining using the naïve bayes algorithm. Naïve bayes is one of the algorithms that is able to predict well by calculating the probability of each class and comparing them, Naïve bayes is used to calculate probability values from training data so that it can predict which villages are feasible for the program. The study used 25 training data taken from previous dukcapil service data and data on the distance and difficulty of access to the village, which were tested and simulated using the naïve bayes algorithm of weka software. The purpose of this study was to obtain accurate information about the villages in Alor district that deserve the program. The results of the process using WEKA software found that from 25 tuples used as test data, it resulted in 100% accuracy .
ANALISIS PEMBELAJARAN LANGSUNG PADA KETERAMPILAN MENULIS PUISI BAHASA INDONESIA PADA KELAS XII IPS DI MA AT-TAUFIQ

Language skills consist of several skills including reading skills, speaking skills, listening skills and writing skills. Language is a tool to convey the information in mind that is conveyed directly by oral or by hand writing. Language has an important role in society because it is included in moral and civilized. A person said to be civilized by the utterance delivered includes the tone and meaning of the utterance delivered by the person. The main difference between humans and animals lies in two things, the first ability to think and the second ability to speak, humans can think because there is language and without human language can not think abstractly, without human language can not communicate and thoughts to others. Therefore humans must be able to master the language with good language. The recognized learning strategy can facilitate teaching to achieve goals in the learning process. The success of learning objectives is often generated by the ability of the teacher or instructor in carrying out strategies, mastering the material to be delivered and forming good communication in the classroom.
Confiance, innovation, progrès / Trust, innovation, progress

Starting from a philosophical and sociological analysis of trust as a reduction mechanism of social complexity, related questions are dealt with in a synthetical way : trust in science and its measurement ; innovation and relationship between fundamental science and applied research ; risk evaluation and logic of proof ; relationship between scientific innovation and progress in society. Final remarks on the vital double link between science and application, and on scientific journalism are proposed.
کورونابیدیا: تحلیل موجه بالمتون للکلمات الجدیدة الناتجة عن کوفید-19 وآثار ذلک على التغیّر اللغوی

Challenging circumstances often generate new forms of expression.The particular challenges of the Covid-19 (also known as Corona Virus) pandemic have led to the emergence of neologisms and novel expressions.The availability of Big Data technology has made investigating the nature and specifics of this language change possible.This study aims to identify and categorize newly emerging vocabulary related to the Covid-19, by investigating frequencies, collocates, and chronological development.It adopts a corpusdriven quantitative analysis, accompanied by qualitative analysis based on intuition, to consider the following research questions: What new vocabularies have emerged related to the coronavirus and are they significantly frequent replacing their normal language counterparts?What are the sources and etymologies behind these new items of vocabulary?How are they formed?How have these terms developed over time ?This study adopts a corpus linguistic methodology by quantitatively and qualitatively investigating the publicly available Coronavirus Corpus at (english-corpora.org) which is comprised of approximately 341 million words.Frequencies, collocations, keywords and chronological comparisons of 'newspeak' will be commented upon, followed by an etymological analysis of these items and a documentation of their word-formation processes
Improving recommendation diversity and serendipity with an Ontology-based algorithm for cold start environments

Abstract Every real-life environments where users interact with items (products, films, research expert profiles) have several development phases. In the Cold-start phase, there are almost no interactions among users and items content based recommendation systems (RS) can only recommend based on matching the attributes of the items. In the transition state, items start to collect user interactions but still a significant number of items have too small number of interactions, RS does not allow users to discover cold items. In a regular state, where most of the items in the system have enough interactions, the recommendations often suffer from low diversity of the items within a single recommendation.This article proposes a general recommendation algorithm based on Ontological-similarity, which is designed to address all the above problems. Our experiments show that recommendations generated by our approach are consistently better in all environment development phases and increase the success rate of recommendations by almost 50\% measured using ontology-aware recall, which is also introduced in this article.
Two-Dimensional Lock-in Amplifier Algorithm in Spatial Domain

Abstract An algorithm based on a two-dimensional lock-in amplifier method has been proposed for extracting complex plane components in images. Traditional one-dimensional time-frequency lock-in amplifier estimates the amplitude and phase of a periodic signal at a frequency determined by a reference signal that may be submerged by noise. In the field of digital image processing, it is necessary to analyze the information in the spatial domain. In this paper, a mathematical model has been established to describe the complex plane component in the image, and a two-dimensional lock-in amplifier algorithm has been developed. Compared with traditional lock-in amplifier algorithms, the proposed algorithm can be used to process signals with higher dimensions. Simulation and experimental results show that the proposed algorithm can effectively extract the complex plane components polluted by noise at given frequencies. This two-dimensional lock-in amplifier algorithm can be applied to the extraction and reconstruction of fringe patterns in images submerged by noise. The limitation of the proposed algorithm has been discussed.
Search Behavior For Millennial Generation Information

The purpose of this study was conducted to determine the behavior of millennial generation before, during and after searching for information. This research uses descriptive research with a quantitative approach and data collection methods using a questionnaire. The population in this study is the Open University library science students aged 20-24 years, who take tuton classes in the 2019.1 period. Samples were taken using the Slovin formula, so that a sample of 100 people was obtained. The questionnaire was distributed to online students through the Open Universits elearning page. The sample used in this study is accidental sampling in which the researcher chooses a sample from anyone who meets the criteria as a population. This research uses Ellis theory, in which the theory the researcher divides into 3 stages, namely before, during and after searching for information. The results showed that the behavior of Online Class Library Science Students after searching for information was positive, with a score of 3.09, this score was on an interval scale of 2.52 - 3.27. Behavior of Online Class Library Science Students when searching for information is positive, with a score of 3.08, this score is on an interval scale of 2.52 - 3.27. While the Online Class Library Science Student Behavior after searching for information is very positive, with a score of 3.30, this score is on an interval scale of 3.28 - 4.03. Based on the results of the study, the information seeking behavior of Online Class Library Science Students as a whole includes aspects before, during and after searching for information is positive, with a score of 3.16, this score is on an interval scale of 2.52 - 3.27
Securely Offloading Computation to the Edge with the Tangle Cache

The rising area of the Internet of Things (IoT) faces various issues related to the scalability and security of the data produced. Most IoT devices cannot perform complex computations on their own due to resource constraints, which require them to outsource their jobs. Due to the abundance of devices and the IoT network’s heterogeneous nature, there is a large attack surface against IoT systems. During outsourcing jobs, a major factor that affects performance is the delay in data transmission. However, the security issues such as data manipulation and leakage for edge caching have not been fully addressed in existing literature. This paper proposes a Tangle based caching model for edge services, as well as an efficient and effective scheme that will aid the offloading process between IoT devices and edge devices. The proposed model utilizes reversible integer transformation in the context of edge computing to build a secure data transfer technique that distorts the original data so that an adversary cannot access it. Experimental studies and theoretical evaluation demonstrate that our proposed scheme is promising for adoption in future IoT systems with its efficiency and security features.
Persepsi Guru Bahasa Inggris Pemula tentang Pelatihan Kemampuan Menulis melalui Lokakarya IELTS Daring Terintegrasi

During the COVID-19 pandemic, teachers experienced a significant shift in the learning context from offline to online learning. Various studies suggest that teachers, particularly beginning teachers, experienced problems accommodating student teaching activities during online learning. Consequently, early-career teachers need to enhance their understanding and skills to maximize their role as effective teachers. Therefore, this community empowerment program aims to train early-career English teachers’ writing skills. Because of the COVID-19 pandemic, the workshop was conducted through an integrated online IELTS lesson via Zoom in six different sessions. Forty teachers from different schools in Indonesia participated in this program. The teachers perceived that they better understood general writing structure, paraphrasing introduction, writing body paragraphs, and conclusion. The teachers also stated that the program improved their comprehension of IELTS Writing and lowered writing anxiety. The teachers face difficulties in using vocabulary and developing ideas in writing. Based on the perceptual analysis, teacher educators are recommended to conduct future community programs to address the issues and offer programs for different skills tested in IELTS.
BIMBINGAN BELAJAR BAHASA INGGRIS BAGI ANAK-ANAK PANTI ASUHAN SINAR KASIH MELALUI METODE MUSIK (MUDAH, ASYIK, KREATIF) DI KELURAHAN KLAMESEN, DISTRIK AIMAS, KABUPATEN SORONG-PAPUA BARAT

The importance of English as an international language is something we cannot deny.As a global language, English holds a very large function and role.One of the visible implications is that more and more people are trying to learn/master English well.In the field of education, for example.To face global competition, English is introduced to students early.Economic inequality in society makes English cannot be enjoyed by everyone, especially the lower economic community.Foster children at the Sinar Kasih Orphanage feel the same way.Many of them are interested in learning English outside of school hours but the existing conditions do not allow them to do so.For this reason, community service is a very targeted thing to do.The implementation of community service activities at the Sinar Kasih Orphanage, Aimas District, Sorong Regency can be carried out well.However, there are several obstacles faced, namely inadequate learning places, learning motivation of orphanage children and the absence of English subjects at the elementary school level.