Reviewerly/exHarmony huggingface dataset:
Peran Media Sosial dalam Pemerolehan Bahasa Remaja (Studi Kasus di UPTD SMP Negeri 1 Parepare, Sulawesi Selatan)

Adolescents experience many developments that affect their language acquisition. The goal of this research is exploring the role of social media in language acquisition for 13-year-old youth at Yunior High School Negeri 1 Parepare, South Sulawesi. This study uses a descriptive method, which describes the results of the research in the form of findings regarding the words that adolescents acquire when using social media. The data for this study came from two teenagers, namely JNT (13 years) and NRH (13 years) who were students in class VII.1 who were female. The research data was obtained through three methods, namely, observation, recording online, and interviews. Researchers observed the use of social media among students and provided online questionnaires containing questions about new words obtained from social media every day. To support these data, researchers conducted interviews with the two research subjects. The results of this study indicate that social media plays a positive role in language acquisition for adolescents aged 13 years. Through social media, the two research subjects acquired 53 new words within two weeks. The words obtained can be grouped into seven parts, namely standard words which are technical (scientific) words by 26%, terms in certain fields and English (code mixing) each by 15%, slang (prokem) by 11%, classical Indonesian (which is commonly used in literature) by 8%, standard (popular) words by 6%, and others (Indonesian literary varieties, non-standard technical words, Javanese, Latin, Sanskrit, abbreviations , and poetic language) by 19%. The results of this study are very appropriate for teachers to use digital-based learning media in learning Indonesian, especially material related to vocabulary.&#x0D;
STUDENTS’ DIFFICULTIES IN FINISHING A THESIS OF ENGLISH STUDY PROGRAM AT MUHAMMADIYAH UNIVERSITY OF TANGERANG

This study aims to determine the difficulties faced by students of Muhammadiyah University of Tangerang English Education Study Program in conducting research and writing a thesis as their final project in the University. This type of research is descriptive research. The subjects of this study were undergraduate students of the English education study program who were undergraduate thesis guidance in 2020. Data collection in this study used questionnaires . The questionnaire is given to students who are writing their thesis. Data were analyzed using percentage techniques which were further described. The results of the study generally show that there are various factors of difficulties faced by students in conducting research and writing it into thesis, both psychological factors and sociocultural factors. Psychological factors are caused by challenges of adapting research topics to the current situation, lack of understanding of research methods and academic writing styles and lack of motivation.. In sociocultural factors, student difficulties are dominated by social factors from their friends, parents and supervisors.
THE CORRELATION OF MUHADHOROH TRAINING AND STUDENTS’ PUBLIC SPEAKING AT AN ISLAMIC BOARDING SCHOOL TANGERANG

This study aimed to determine whether there is a correlation between students’ public speaking and muhadhoroh training with the title “The Correlation of Muhadhoroh Training and the Eighth Grade Students’ Public Speaking at Al-Manshuriyah Islamic Boarding School Tangerang”. The research subjects in this study were 28 eighth grade students. The research was quantitative survey method. The data instruments were tests and questionnaires. The test was used to collect data on students’ public speaking using speech test. Researchers used SPSS 25 and Ms. Excel to analyzed data. The result showed that there was significant relationship between muhadhoroh training and students’ public speaking. This could be seen from the results of a significant correlation in public speaking and muhadhoroh training _xy = 0,897&gt; _t = 0,374, N = 28 with a significant value 0,05 so there is a correlation. Keywords: correlation study, public speaking, muhadhoroh training.
Effect of Using Social Media on Students’ Interest in Learning English

EF Education First, in its English Proficiency Index, shows data on the low interest in learning English among Indonesian students. Learning English is considered difficult because the material is quite extensive and the reading material is quite difficult. The use of social media is one of the factors that influence students' interest in learning English. This article aims to determine the effect of using social media on interest in learning English. This study uses a literature review approach, namely collecting references, reviewing theories, and analyzing the object being studied. Data were reviewed from all articles or journals published within the last 5 years. The results of this study indicate that the use of information technology, especially social media, can bring positive value if students can use these facilities for more positive things, for example, to increase knowledge, as a means of communication and also as a means of promoting something. The positive impact of students when using social media is to make social media a learning tool, especially language learning. Social media has a positive effect when social media such as YouTube, Instagram, TikTok are used as learning media; for example, it is used in making videos which can improve pronunciation and can package interestingly learning English. Thus, students' interest in learning English will increase.
PENINGKATAN HASIL BELAJAR BAHASA INGGRIS POKOK BAHASAN MAKNA DALAM TEKS LISAN FUNGSIONAL MELALUI STRATEGI TRUE OR FALSE PADA SISWA TUNANETRA KELAS VII DI SLB-A TPA JEMBER

This study aims to improve learning outcomes in class VII English students on the subject of meaning in functional oral texts through the True or False Strategy in SLB-A (Blind) TPA Jember in the 2013/2014 academic year. This study used a classroom action research design (CAR). The subject of this classroom action research is the subject of English, the subject matter of the Meaning in Functional Oral Texts by applying the True or False learning strategy, in class VII SLB-A (Blind) TPA Jember, with a total of 2 students. The research was conducted in two cycles, cycle I on July 2 - July 9 2013, cycle II on July 16 - July 29, 2013 and adjusted to the schedule of activities. The result of this research is that learning with the True or False strategy has a positive impact in improving the results of learning English about the meaning in functional oral texts for seventh grade students of SLB-A (blind) TPA Jember. This can be seen in Cycle I, from 2 students who have completed 1 student (50%) and 1 student (50%) who have not completed. Whereas in Cycle II, all students have completed (100%). So, after Cycle II student learning outcomes increased by 50%.
Perbandingan Metoda K-NN, Random Forest dan 1D CNN untuk Mengklasifikasi Data EEG Eye State

The use of machine learning / machine learning methods is very important in developing identification of the status of the human eye, especially in terms of processing Electroencephalogram (EEG) signals to identify eye status. In previous research the method used can be a combination method between supervised learning and unsupervised learning, or a single method using supervised learning. In this study, the EEG Eye State classification uses a single method with supervised learning, namely using the following methods: K-nearest neghbors (k-NN), random forest, and 1D Convolutional Neural Networks (1D CNNs). The performance of the three classifier methods is measured using four measures, namely: accuracy, recall, precision, and F1-Score. From the experimental results it was found that the k-NN method has the best performance compared to the other two methods in terms of the four measures used, where the value of each measure is: accuracy = 82.30%; recall=82.30%; precision= 82.36%; and F1-Score=82.30%. K-NN is more suitable for classifying EEG Eye State than the other two methods, because all input attributes are from the dataset. has a data type of real numbers.
Pengklasterisasian Data Penyakit Hipertensi dengan Menggunakan Metode K-Means

The increasing number and variety of diseases suffered by the community due to lifestyle changes that are influenced by the progress of the times. Periodic disease data collection will increase the accumulation of data. This is often an error in the data search process so that it takes a long time to search the data. This study focuses on data collection on hypertension and aims to cluster the data. The method used in this study is CRISP-DM with a business understanding process, data understanding, data preparation, modeling, evaluation and deployment. The algorithm used in this clustering is the K-Means algorithm. The results of this study resulted in 2 clusters, namely cluster 0 Normal and cluster 1 Hypertension. The results of this study can provide information about the results of 2 clusters, namely cluster 0 Normal and cluster 1 Hypertension
Pengukuran Kesiapan Pengguna Website Srikandi Menggunakan Metode TRI (Technology Readiness Index)

The Srikandi website has been designated by the government as a general website for the Dynamic Archives Division. Srikandi's website is used to manage archives at Dinarpusda. This website was built to manage dynamic archives electronically which can have the effect of changing from manual to digital form and can help and facilitate employees in managing dynamic archives. The process of implementing information technology often creates new problems. The success of implementing information systems or technology adoption greatly influences user readiness. The purpose and benefits of this report are to fulfill the requirements for practical work courses. Distribution of questionnaires used to collect data. Questionnaires were distributed to the P3K division (Development, Development and Supervision of Archives) which was the sample in the study. The number of respondents was 15 respondents. Measuring user readiness for the Srikandi website uses the Technology Readiness Index (TRI) which functions to determine user readiness in using the Srikandi website in achieving the goal of making a website. The indicators used are optimism, innovation, discomfort and insecurity. The results of testing using TRI, obtained the results of the user's readiness level for the Srikandi website using belonging to the Medium category. This was obtained by looking at the results of the total TRI obtained, namely 3.03. This value is between 2.89 to 3.51 (2.90 ≤TRI≤3.51).
Penerapan Metode Weight Product (WP) untuk Rekomendasi Pemilihan Jasa Paket Laundry Terbaik

Laundy is an activity of washing clothes or the like at the same time and place in one place. The author takes samples to select package services from one of the shops or laundry businesses, namely dry regular, dry medium and dry express which customers can choose from with differences in turnaround time, weight and price, and can help laundry shop owners find out the type of packages that are often chosen by customers and can make it easier for shop owners to find out the results of sales transactions and reports. To understand this, we need a recommendation system that can help customers and laundry shop owners according to what the author wants. Here the author uses the Product Weight method to find alternative values ​​or the best results using several calculation formulas and gets a result of 0.335 on R2, namely Dry Medium with price criteria, completion time and weight
Penerapan Metode K-Nearest Neighbor Untuk Pemilihan Rekomendasi Game FPS Pada Aplikasi Google Play Store

Game or game is a recreational activity with the aim of having fun, hobbies and free time. Games or games are usually done alone or together. Electronic games or better known as virtual games are games that use electronic media, which is entertainment in the form of multimedia that is made as attractive as possible so that players can get something so that there is inner satisfaction. Many game lovers are enthusiastic about the development of the game industry, including FPS games. FPS stands for "First Person Shooter" which means Indonesian, namely "Frames Per Second" which means it is a game that displays an Image/Frame within 1 second, usually FPS is more widely used in filmmaking, animation, CGI (Computer Generated Imagery). ) and games. However, many problems in installing games do not pay attention to hardware specifications, especially storage (memory) and RAM, this is very influential for game quality, therefore a decision support system is made using the K-Nearest Neighbor (KNN) method. The purpose of this study is to produce a recommendation for selecting FPS games using the K-Nearest Neighbor method according to the specifications according to the wishes of the players.
Implementasi Algoritma Decision Tree dan Naïve Bayes Untuk Klasifikasi Sentimen Terhadap Kepuasan Pelanggan Starbucks

Indonesia is included in the category of countries with the largest population in the world, this situation is a business opportunity for entrepreneurs who enter the coffee shop industry market. Researchers utilize one of the grouping methods, namely data mining classification in order to help business entities to identify different groups in the Starbucks customer satisfaction database. The purpose of this research is to be able to group categories into 3 classes, namely satisfied, quite satisfied and dissatisfied using the Decision Tree &amp; Naive Bayes algorithm. So that it can find out public opinion on Starbucks customer satisfaction, in this study the aim was to obtain accuracy, precision and recall values and find out the best algorithm for data mining classification of Starbucks customer satisfaction. In this study using test data obtained from tweets with the keyword "Starbucks" from Twitter. The results of this study where the sentiment classification process for Starbucks customer satisfaction obtained a neutral category, it can be seen from the reviews using the keywords "starbuck OR starbucks OR #starbucks "The results obtained were positive comments of 476 tweets with a percentage of 19.2%, neutral comments of 1743 tweets with a percentage of 70.3% and negative comments of 258 tweets with a percentage of 10.4%, so that conclusions can be drawn based on the polarity calculation, the comments on stabuck have a satisfied category.In this study, it can be concluded that the performance of the Decision Tree algorithm is better than the Naive Bayes algorithm, as can be seen from the following explanation.The Decision Tree algorithm results in an accuracy of 83%. Naïve Bayes on value accuracy results by 74%.
Sistem Pendukung Keputusan Pemilihan Smartphone Bekas Menerapkan Metode SAW

The selection of used Smartphones made by buyers sometimes confuses prospective buyers of what used Smartphones to buy according to the desired criteria. Based on this, in this study a decision support system was built that was used to carry out the process of selecting used smartphones that matched the criteria, namely price, camera, RAM, internal memory, processor, battery, and weight. The decision-making method used is the Simple Additive Weighting (SAW) method. This method is used to determine the weight value of each criterion, which is then carried out a ranking process to determine alternative used Smartphones. The results of this study are to explain the results of the stages of calculating the alternative value criteria in the implementation of the Program which has been carried out based on manual calculations and explaining that the calculation can produce the final stage where the alternative smartphone used MI 10t Pro has a ranking number 1 and has the same value as manual calculations, namely 91.1. With a decision support system that uses the SAW method, (Simple Additive Weighting), it can help consumers choose used cellphones based on predetermined criteria.
Penerapan Algoritma Knuth-Morris-Pratt Dalam Sistem Jasa Konsultan berbasis Mobile dan Web

With the increasing of human life aspects, various applications for online consulting service providers have emerged with different fields and backgrounds. To assist the process of selecting consultants according to the preferences of certain users, a consultant search system that covers several consulting areas at once is implemented, which aims to make it easier for users to find consultants that suit their needs. Knuth-Morris-Pratt is a string matching algorithm whose search is based on text and patterns, KMP is used to find where a pattern is found in a collection of other strings with a larger size, this algorithm is also include as one of the fastest and has a small complexity. In this final project, an overview of the application and feature testing using black-box testing will be presented, along with a comparison of the Knuth-Morris-Pratt search algorithm with other search algorithms. The system development methodology used is the waterfall methodology. The results of this final project can be concluded that the application of the Knuth-Morris-Pratt algorithm on mobile and web-based consulting services search applications can assist clients in providing better and more efficient searches.
Penerapan Multiply With Carry Generator pada Proses Pembangkitan Kunci Algoritma Beaufort Cipher

The strength of the algorithm used in data security does not only depend on the complexity of the algorithm used, but lies in the randomness and complexity of the key solving used. The repetition of the same character in the formation of a key used by a data security algorithm is very vulnerable to attack, because it can make it easier for attackers to break the algorithm itself. One of the commonly used data security algorithms is the comfort cipher algorithm. The number of key characters needed in this algorithm is directly proportional to or equal to the number of characters of text or data that is secured. Using a number of key characters like this allows the repetition of the same characters, making it easier for attackers to find out the pattern of the keywords used. Based on this, random key generation is necessary to optimize the robustness of the algorithm used. Multiply with carry generator is a random number generation technique that has advantages in speed and length of randomization cycle so that it has more seed variations to the generated random numbers. This study describes how to apply this random number generation method to generate keywords used in the beaufort cipher algorithm, so that the keys used can be more optimal and more complicated for attackers to crack.
Evaluasi Usability Pada Sistem Website Absensi Menggunakan Metode SUS

Information technology (IT) is currently experiencing rapid development and is able to provide convenience such as solutions for organizations such as implementing a system at the Serayu Citanduy Water Resources Management Office, namely the field employee attendance website system. This system functions to monitor and provide services related to the field of employee attendance. However, there are still obstacles, namely the lack of attention to usability aspects, one of which is that there are still several features and buttons that have not been completed. Therefore, this study aims to evaluate usability related to the field employee attendance website system using the System Usability Scale (SUS) method. The SUS method is useful for assessing a system from a usability perspective by evaluating it as in this study. The research data was obtained by distributing questionnaires to 56 users. Before carrying out calculations using the SUS method, first calculate validation and reliability, validation of this questionnaire produces valid results and reliability, namely 0.613 means that it is reliable, so that research can run well. the level for the Value Scale is on a D scale with an average final score based on the calculation of the SUS method, namely 58.35 and the position of the last adjective branch is at the "ok" level. make improvements to improve usability such as developing by paying attention to the user interface, completing and selecting features on the button so that it functions properly and needs to be evaluated.
Penerapan Algoritma K-Medoids Untuk Clustering Prioritas Penerima Beasiswa

Scholarships are a form of appreciation given to students. In college scholarships that are usually given are scholarships from foundations. The limited number of foundation scholarships provided by tertiary institutions is certainly a separate problem for elements of leadership or management. The problems encountered must be resolved as well as possible. Therefore, it is necessary to group students who are prioritized to get foundation scholarships. The process of determining priority levels for students receiving foundation scholarships has become a new problem for the management team. The process of solving the problem can be done by processing the data. Data mining is a data processing process for extracting information stored in datasets. In data mining, the process of grouping data for the priority determination process is included in the clustering technique. K-Medoids is part of clustering data mining. K-Medoids is used in data mining for the grouping process in forming clustering. The K-Medoids algorithm can help simplify the process of forming priority clusters. In this case there are 5 alternatives included in Cluster 1 and 5 alternatives included in Cluster 2. With the formation of clusters from the K-Medoids algorithm process it can be easily in the decision making process.
Implementasi Metode Accrual Basis Pada Sistem Informasi Keuangan

The financial recording system is carried out in the school diary, so it takes time to recap the revenue or expenditure records in order to find out the amount of funds that have been received or spent. This is less time efficient in presenting financial statements. This study aims to apply the accrual basis method to the financial accounting information system of MIS Nurul Huda Sei Paham and build a web-based financial accounting information system at MIS Nurul Huda Sei Paham. This research uses the research and development method or commonly known as R&amp;D which has several stages, namely potential and problems, data collection, product design, design validation, design revision, product trials, product revision, trial use, final product revision, and mass production. However, this research only reached the product trial stage. System testing uses a questionnaire which is divided into 3 parts, namely expert experts, field tests and prospective users. From the results of the expert questionnaire assessment, a value of 3.8 was generated which indicated a fairly valid category, the field test questionnaire assessment resulted in a value of 4.0 which indicated a valid category and an assessment of a questionnaire of 10 prospective users resulted in a value of 80 which indicated an effective category. it can be concluded that the financial accounting information system using the accrual basis method at MIS Nurul Huda Sei Paham has run well according to school needs and can help present financial reports quickly.