Reviewerly/exHarmony huggingface dataset:
Developing Viola Jones' algorithm for detecting and tracking a human face in video file

&lt;p&gt;Face detecting and tracking in video clips is very important in many areas of&lt;br /&gt;daily life. All institutions, public departments, streets, and large stores use&lt;br /&gt;cameras from a security point of view, and detecting and tracking human&lt;br /&gt;faces is necessary for indexing and preserving information concerning the&lt;br /&gt;visual media. This paper presents a novel method for hybridizing the&lt;br /&gt;Viola_Jones face detection algorithm to track and identify a human face in&lt;br /&gt;video sequences. The method represents a combination of Viola Jones'&lt;br /&gt;algorithm with a measured normalized cross-correlation (NCC) algorithm&lt;br /&gt;with a template matching method using the Manhattan distance measure&lt;br /&gt;equation in the video between successive sequences After that, the fuzzy&lt;br /&gt;logic method is added in comparing the image of the face to be detected with&lt;br /&gt;the images of templates taken in the proposed algorithm, which increased the&lt;br /&gt;accuracy of the results, which reached 99.3%.&lt;/p&gt;
Efektivitas Penerapan Literasi Digital terhadap Kecakapan Literasi Siswa Kelas IV SDIT As Salam Tahun Pelajaran 2022/2023

Literacy skills are one of the skills required in the 21st century. This is the background for researchers to see the effectiveness of applying digital literacy to students. The method used in this research is quantitative with a correlation approach. The population in the study were fourth grade students of SDIT As Salam Kampung Simpur Cikarang Selatan, and the research sample amounted to 41 students. Based on the results of data processing, the correlation coefficient between digital literacy and literacy skills is 0.527, meaning that there is a significant correlation between digital literacy and literacy skills. The R2 value is 0.259 which means it shows the contribution of digital literacy variance to the variance of literacy skills by 25.9%.
Upaya Meningkatkan Hasil Belajar IPS dengan Pembelajaran Kooperatif Tipe NHT dan Pemanfaatan Media Gambar pada Siswa Kelas VI Semester II UPT SDN 1 Palapa Bandar Lampung Tahun Pelajaran 2022/2023

The purpose of this study was to improve social studies learning outcomes with NHT type cooperative learning and the use of image media in grade VI UPT SDN 1 Palapa students. The benefits that can be obtained from this research are as a useful contribution to improve social studies learning outcomes class VI UPT SDN 1 Palapa. This study is a class action research consisting of 2 cycles. Each cycle consists of planning, execution, observation, analysis and reflection. The subjects of this study were students of grade VI UPT SDN 1 Palapa, Tanjung Karang District, Bandar Lampung City Center. The data collection techniques used are test and non-test. While data analysis techniques are quantitative and qualitative discriptive analysis. The result of this study is the use of NHT type cooperative learning and the use of image media can improve social studies learning outcomes in grade VI students of UPT SDN 1 Palapa. This can be seen from the value of student learning outcomes during the learning process which is increasing. Grades before improvement showed that out of 28 students, only 10 students were complete (37%) and 18 students were incomplete (63%).After the actions taken, it can be seen that learning outcomes in the first cycle increased, from 28 students, 18 students who completed (67%) and 10 students who were not completed (37%). Learning outcomes in cycle II also increased. Of the 28 students, 25 students completed (89%) and 3 students who were incomplete (11%).
COVID-19 digital x-rays forgery classification model using deep learning

&lt;p&gt;Nowadays, the internet has become a typical medium for sharing digital&lt;br /&gt;images through web applications or social media and there was a rise in&lt;br /&gt;concerns about digital image privacy. Image editing software’s have prepared&lt;br /&gt;it incredibly simple to make changes to an image's content without leaving&lt;br /&gt;any visible evidence for images in general and medical images in particular.&lt;br /&gt;In this paper, the COVID-19 digital x-rays forgery classification model&lt;br /&gt;utilizing deep learning will be introduced. The proposed system will be able&lt;br /&gt;to identify and classify image forgery (copy-move and splicing) manipulation.&lt;br /&gt;Alexnet, Resnet50, and Googlenet are used in this model for feature extraction&lt;br /&gt;and classification, respectively. Images have been tampered with in three&lt;br /&gt;classes (COVID-19, viral pneumonia, and normal). For the classification of&lt;br /&gt;(Forgery or no forgery), the model achieves 0.9472 in testing accuracy. For&lt;br /&gt;the classification of (Copy-move forgery, splicing forgery, and no forgery),&lt;br /&gt;the model achieves 0.8066 in testing accuracy. Moreover, the model achieves&lt;br /&gt;0.796 and 0.8382 for 6 classes and 9 classes problems respectively.&lt;br /&gt;Performance indicators like Recall, Precision, and F1 Score supported the&lt;br /&gt;achieved results and proved that the proposed system is efficient for detecting&lt;br /&gt;the manipulation in images.&lt;/p&gt;&lt;div align="center"&gt; &lt;/div&gt;
Pengembangan Lembar Kerja Peserta Didik Elektronik (E-LKPD) Berbasis Higher Order Thinking Skill (HOTS) Materi Magnet

This study aims to develop HOTS-based Electronic Student Worksheets, to find out the assessments of three experts and the opinions of educators and students in grade VI SD. This study uses a type of learning design development research or R&amp;D using the ADDIE model. The research subjects consisted of three experts (media experts, linguists, material experts) and students of class VI SD. The instrument used in the form of a questionnaire given to three experts was obtained from the research results, namely qualitative data which were analyzed using quantitative data in the form of numerical data. The results of this study, produced HOTS-based E-LKPD products that met very good criteria with an average validation score of three validators obtained a value of 96.9% with a very feasible category to use, and a practicality level of 87.9% was on very practical criteria and the level of effectiveness with an average of 90% is in the very effective category. HOTS-based E-LKPD teaching materials are appropriate, practical and effective for use in learning.
MediBERT: A Medical Chatbot Built Using KeyBERT, BioBERT and GPT-2

The emergence of chatbots over the last 50 years has been the primary consequence of the need of a virtual aid. Unlike their biological anthropomorphic counterpart in the form of fellow homo sapiens, chatbots have the ability to instantaneously present themselves at the user's need and convenience. Be it for something as benign as feeling the need of a friend to talk to, to a more dire case such as medical assistance, chatbots are unequivocally ubiquitous in their utility. This paper aims to develop one such chatbot that is capable of not only analyzing human text (and speech in the near future), but also refining the ability to assist them medically through the process of accumulating data from relevant datasets. Although Recurrent Neural Networks (RNNs) are often used to develop chatbots, the constant presence of the vanishing gradient issue brought about by backpropagation, coupled with the cumbersome process of sequentially parsing each word individually has led to the increased usage of Transformer Neural Networks (TNNs) instead, which parses entire sentences at once while simultaneously giving context to it via embeddings, leading to increased parallelization. Two variants of the TNN Bidirectional Encoder Representations from Transformers (BERT), namely KeyBERT and BioBERT, are used for tagging the keywords in each sentence and for contextual vectorization into Q/A pairs for matrix multiplication, respectively. A final layer of GPT-2 (Generative Pre-trained Transformer) is applied to fine-tune the results from the BioBERT into a form that is human readable. The outcome of such an attempt could potentially lessen the need for trips to the nearest physician, and the temporal delay and financial resources required to do so.
Pemanfaatan Media Realia untuk Meningkatkan Aktivitas dan Prestasi Menulis Pantun pada Siswa Kelas VI SD Negeri 2 Sawah Lama Bandar Lampung Tahun Pelajaran 2019/2020

The purpose of this study was to describe the increase in Pantun learning activities and achievements using environmental media in Class VI students of State Elementary School 2 Sawah Lama in the 2019/2020 academic year. The method used in this research is Classroom Action Research (CAR) through 3 cycles and 3 meetings in each cycle. The research subjects were students of Class VI Semester 1 of SDN 2 Sawah Lama Bandar Lampung for the 2019/2020 academic year. totaling 30 students. The data were obtained from the notes of the observer's observation sheet on the learning process planned by the researcher, the observation sheet of learning activities and the test sheet to determine learning achievement and the observer's observation of the learning carried out by the researcher. Based on the findings and results of the discussion, it was found that the use of environmental media could increase the activity and achievement of learning to write poetry in Class VI semester 1 SDN 2 Sawah Lama Bandar Lampung.
How Digital Economy affect Innovation? Evidence from Commodity Quality and Green Economy

The concept of digital economy is spreading quickly as human has entered the information age. Digital economy contains a wide range of things for anything relating to using digital data either directly or indirectly to lead the production of aggregation effects of resources, which starts a whole profound revolution of society and economy. This paper will discuss about the innovation in the development of digital economy, focusing on innovation effect, purchase quality and green development. Some limitations might be found in the process of research due to some non-linear linkages in certain economic relationships and some difficulties in the technology of model designs. For the policy used in the whole digital economy and digital reform, it is necessary for it to better analyze the local economic model, activate the consumer market, and drive the growth of the entire consumer.
Meningkatkan Hasil Belajar Matematika melalui Pembelajaran Tipe Cooperative Integrated Reading and Compisition (CIRC) pada Siswa Kelas VI SD Negeri 2 Sribhawono TP 2019/2020

The purpose of this study is to improve mathematics learning outcomes through Cooperative Learning Type Cooperative Integrated Reading and Compoisition (CIRC) in Class VI students of SD Negeri 2 Sribhawono East Lampung TP 2019/2020. This research was conducted in Class VI SD Negeri 2 Sribhawono from August to October 2019 with a total of 30 students. The research method applies Classroom Action Research. The action was carried out in three cycles and three meetings in each cycle. The results of the study indicate that the Cooperative Learning Type Cooperative Integrated Reading and Composition (CIRC) method can improve Mathematics Learning Outcomes for Class VI students of SD Negeri 2 Sribhawono East Lampung TP 2019/2020.
Research and Analysis of Chinese Character Learning Apps for Foreigners and Construction of the "HanZi Tong" Model

Based on the theory of self-directed learning and mobile learning, this text explores the research results of foreign Chinese learners and overseas Chinese in the application of Chinese character learning. The text aims to make use of fragmented time to break the time and space, material, and object limitations of Chinese character learning to promote the benign interaction between language technology and language economy. It also applies this approach to the practice of teaching Chinese as a foreign language to explore a new teaching model - the Chinese character learning application model. Based on the test results of the Chinese character learning application in the IOS system, this study proposes a prototype of an ideal Chinese character learning application - "Hanzi Tong" - through in-depth analyses and summaries of the main problems and advantages of the current Chinese character learning application, aiming at overcoming the difficulties in writing, remembering and recognising Chinese characters, and to provide feasible suggestions for promoting the integration of app-based independent learning and traditional classroom teaching.
Meningkatkan Kemampuan Guru SD Negeri 4 Gedong Tataan dalam Mengembangkan Lembar Kerja Siswa (LKS) melalui In House Training Tahun 2022

This research was carried out to improve the ability of teachers to develop Student Worksheets (LKS) which will be used for the implementation of learning for students. The research was carried out at SDN 4 Gedong Tataan with the aim of seeing an increase in the ability to make Student Worksheets (LKS) for teachers at SDN 4 Gedong Tataan. This study uses a reflective action research design carried out in 3 cycles. The research subjects were 12 teachers at SDN 4 Gedong Tataan. The results of data analysis for each cycle show that In House Training activities can improve the ability to make worksheets for SDN 4 Gedong Tataan teachers, Gedong Tataan District, Pesawaran Regency in 2022.
AN ERROR ANALYSIS IN WRITING DESCRIPTIVE TEXT AT ONE PRIVATE SCHOOL OF SINTANG

This research aims to classify the kinds of errors found in the student's writing descriptive text; recognize the most common errors found, and describe the factors that cause the students to make errors. The method used was qualitative research. The subject of this research is the 20 writing descriptive text of the students in class X. The data collection technique used documents and interviews. The instruments of data collection were the students’ worksheets and interview guidelines. The finding showed, there were four types of errors found in the students' writing products. They were classified as 20.8% errors of omission, 4% errors of addition, 73,2% errors of misinformation, and 2% errors of misordering. Based on these findings, the researchers suggest that: learning English should emphasize linguistic aspects such as the use of tenses. Besides, students should be assisted in translating assignments and teachers should provide feedback on student work. Keywords: error analysis, descriptive text, writing
TWITTERATURE: A TEXTUAL ANALYSIS OF THE COMPILATION OF IDEAS OR THE DISCONNECTION OF IT

Delivering ideas in a form of paragraphs, there are certain rules to follow for it to be accepted and easily understood by the targeted readers. However, with the rise of social media and the internet, there must be also changes in the world of language and literature. Some rules do not apply in this type of media, especially on Twitter. In 2012 Twivortiare, a novel consisting of a tweet compilation by Ika Natassa was released. This book is widely accepted by readers. In a text structure and text signal, this is very unusual. Using critical textual analysis the author finds out how ideas are being delivered in this type of literary work, whether it is disconnected or compiled. Through this analysis it is concluded that as long as the ideas are intact and can be understood by readers, twitterature is considered a literary work.
A Stratigraphic Analysis of The Slieve Bloom Mountains in Offaly/Laois Counties, Ireland

This is a study of the Slieve Bloom Mountains of Ireland, situated between Offaly and Laois County. The Slieve Bloom is the oldest mountain range in Europe, which once reached a peak elevation of 3,700m but stands at an elevation of 527m today. The mountains, formed during the Cordilleran Orogeny, provide profound evidence of depositional history through excellent preservation of several rock types. Most notably, the mountain range contains a notorious unconformity between Silurian age rocks and the Devonian age Old Red Sandstone, a time gap of roughly 70 million years. The Silurian rocks constitute a single formation (the Capard Formation), outcropping in 16 inliers of the area. The Old Red Sandstone overlies the Capard Formation, making up the unconformity.
AN ANALYSIS OF DISTANCE LEARNING IMPLEMENTATION DURING THE PANDEMIC IN TEACHING ENGISH

The background of this research is the application of distance learning in learning English. This study aims 1) To describe the process of implementing distance learning in learning English at SMPN 02 Kayan Hilir during the Covid-19 pandemic. 2) To find out the obstacles to implementing distance learning to teach English at SMPN 02 Kayan Hilir during the Covid-19 pandemic. 3) To find out the impact of implementing distance learning for teaching and English at SMPN 02 Kayan Hilir during the Covid-19 pandemic. The research method used is qualitative research. The results showed that the implementation of distance learning in learning English for class VIII students at SMPN 02 Kayan Hilir had been implemented well despite the obstacles and impacts 06.25 from distance learning for schools and English teachers and students have a solution. Based on the results of the study, it can be concluded that in the learning process, the obstacles and impacts of implementing distance learning based on whatsapp and how teachers overcome obstacles and impacts have their respective solutions so that English language learning can be carried out properly. Keywords:Distance Learning, Distance Learning Implementation, English Teaching
THE EFFECT OF STORY MAPS STRATEGY ON READING COMPREHENSION NARRATIVE TEXT IN ENGLISH DEPARTMENT STUDENTS

The research was conducted in seventh semester students of Prose Course English Department of STKIP PGRI Bandar Lampung. The objective of this research is to know whether there is the influence of story maps strategy towards students’ reading comprehension in narrative text. The samples of this research was two classes. The first class was VII (A) as the experimental class and the second class was VII (B) as the control class. The experimental class consisted of 32 students and the control class consisted of 32 students. In this research, the researcher used experimental method. In collecting the data, the researcher used reading test with the form of multiple choice and consist of four options. Based on the data analysis, the value of t-test is 6,41 and t-table is 2,66. It means that t-test is higher than t-table (6,41&gt;2,66) in significant level 0,05. So, the null hypothesis (Ho) is rejected and hypothesis alternative (HI) is accepted. Finally, the researcher concluded that there is a significant influence of teaching reading comprehension in narrative text through Story Maps Strategy in English department students of STKIP PGRI Bandar Lampung in academic year 2018/2019.
THE RELATIONSHIP BETWEEN TEACHERS’ MOTIVATION AND STUDENTS’ ENGLISH COMMUNICATION SKILL

Motivation plays an essential role in the teaching and learning process of students in class. Through motivation can be determined success or failure in the teaching and learning process. This study was conducted to determine the relationship of teacher motivation with students' English communication skills in Middle School of Malang Regency. Calculation of the correlation between motivation and English communication skills of students using Stastical Product and Service Solution V.23 (SPSS 23). In descriptive statistics with 30 respondents, the average motivation value was 44.67 with a standard deviation of 3.14. While the average value for English communication skills or student achievement is 30 people at 78.90 with a standard deviation of 3.99. The correlation between the two variables of motivation and achievement is 0.741. In sig. (2-tailed) of 0,000 in the sense that there is a significant correlation between students' motivation and English communication skills (achievement) because the correlation value is smaller than 0.05.
Hate speech detection on Indonesian text using word embedding method-global vector

&lt;p&gt;Hate speech is defined as communication directed toward a specific individual or group that involves hatred or anger and a language with solid arguments leading to someone's opinion can cause social conflict. It has a lot of potential for individuals to communicate their thoughts on an online platform because the number of Internet users globally, including in Indonesia, is continually rising. This study aims to observe the impact of pre-trained global vector (GloVe) word embedding on accuracy in the classification of hate speech and non-hate speech. The use of pre-trained GloVe (Indonesian text) and single and multi-layer long short-term memory (LSTM) classifiers has performance that is resistant to overfitting compared to pre-trainable embedding for hatespeech detection. The accuracy value is 81.5% on a single layer and 80.9% on a double-layer LSTM. The following job is to provide pre-trained with formal and non-formal language corpus; pre-processing to overcome non-formal words is very challenging.&lt;/p&gt;
Analysis of machine repair time prediction using machine learning at one of leading footwear manufacturers in Indonesia

&lt;p&gt;Machine breakdowns in the production line mostly finish in more than 18&lt;br /&gt;minutes, since the machine that needs repair more time is done on the&lt;br /&gt;production line, not in the machine warehouse. Historical machine&lt;br /&gt;breakdown data is digitally recorded through the Andon system, but it is still&lt;br /&gt;not being used adequately to aid decision-making. This research introduces&lt;br /&gt;an analysis of historical machine breakdown data to provide predictions of&lt;br /&gt;repair time intervals with a focus on finding the best algorithm accuracy.&lt;br /&gt;The research method uses machine learning techniques with a classification&lt;br /&gt;model. There are five algorithms used: logistic regression (LR), naive bayes&lt;br /&gt;(NB), k-nearest neighbor (KNN), support vector machine (SVM), and&lt;br /&gt;random forest (RF). The results of this study prove that historical machine&lt;br /&gt;breakdown data can be optimized to predict machine repair time intervals in&lt;br /&gt;the production line. The accuracy of LR algorithm is slightly better than the&lt;br /&gt;other algorithms. Based on the receiver operating characteristic–area under&lt;br /&gt;curve (ROC-AUC) performance evaluation metric, the quality value of the&lt;br /&gt;accuracy of LR model is satisfied with a percentage of 69% with a&lt;br /&gt;difference of 0.5% between the train and test data.&lt;/p&gt;
Prototyping of e-fisherman web server to support Indonesian fishermen’s activities

&lt;p&gt;This paper presents a webserver for Indonesian fishermen, to support fishing activities. This is one of the sub-systems of e-Nelayan (in English: eFisherman) architecture, which was connected to e-Nelayan Apps; it helps to provide interaction between two users, including the administrators and fishermen. Using hypertext preprocessor (PHP) language, the website was developed to function on an Apache web server, with the adaptation of my structured query language (MySQL) framework for the database. This system was subsequently divided into two parts: (1) the front-end, which is responsible for the accessibility of data collection and (2) the back-end, where administrators update or modify crucial information: price, fishing result, illegal activity report, save our ship! (SOS) potential fish zone, and ship tracking. The administrators are unable to update the real-time weather information for the front-end part. The application was found to record the information obtained from the fishermen through the e-Nelayan apps and meteorology, climatology, and geophysical agency (BMKG in Indonesian). This web system is expected to carry out the following functions: to ensure easier interactions between fishermen and administrators, to enable easy update of information, to promote monitoring and recording of results, and to ensure fishermen’s safety.&lt;/p&gt;