Reviewerly/exHarmony huggingface dataset:
Analisis Beban Kalor Pada Ruang Laboratorium Desain Dan Konstruksi Jurusan Teknik Mesin Fakultas Teknik Universitas Halu Oleo

Air refresher is a process of cooling the air so that it can reach the appropriate temperature and humidity required for the air condition of a certain room. The purpose of this study is to calculate the heat load in the design and construction laboratory of the mechanical engineering department, Faculty of Engineering, Halu Oleo University. The method used in this study is an analytical method by calculating the cooling load on each predetermined parameter, namely on walls, roofs, windows, doors, as well as lighting, electronic equipment and occupants. This calculation is carried out every hour from 08.00 to 17.00 local time. The results showed that the cooling load increased significantly from 08.00 until the peak occurred at 13.00 to 14.00, then the cooling load began to decrease significantly at 15.00 to 17.00. The high cooling load that occurs at 13.00 and 14.00 is thought to be due to the sun's rays coming at a vertical angle so that the heat received is greater than in the afternoon or evening where the angle of incidence of the sun's rays is tilted.Keywords: Air refresh, Cooling load
Students’ readiness in following online learning during the Covid-19 pandemic

The Covid-19 pandemic has impacted various sectors, including the education sector. This study aimed to determine Polbangtan YoMa students’ readiness to follow online learning during the Covid-19 pandemic. This research is survey research. The subjects of this study were 158 Polbangtan YoMa students. The instrument used for data collection was a questionnaire. Data were analyzed using descriptive statistics. This study results are: (1) the aspects of facilities and infrastructure get the percentage of 66%, meaning that Polbangtan YoMa students are ready to follow the learning from the aspect of facilities and infrastructure; (2) the technological literacy aspect gets the percentage of 65%; meaning the Polbangtan YoMa students are ready to follow the learning from the aspect of their technological literacy abilities; (3) the quality aspect of online interactions gets the percentage 35%; meaning that Polbangtan YoMa students are not ready to take part in learning from the aspect of online interaction quality capabilities; (4) aspects of the benefits of online learning get the average sroce percentage of 52%, meaning that Polbangtan YoMa students agree that online learning will be helpful; (5) aspects of assistance services get the percentage of 67%, meaning that Polbangtan YoMa students entirely agree that assistance services help in online learning; and (6) aspects of online learning prospects get the average score percentage of 57%, meaning that Polbangtan YoMa students somewhat agree that online learning provides online learning prospects, thus Polbangtan YoMa students are ready to do online learning with an average proportion of 57%. The online learning model used at Polbangtan YoMa is asynchronous learning using e-learning, WhatsApp, and Google Classroom.
Obstacle Avoiding Bluetooth Robot Car using the Internet of things

In this contemporary world, robotics has been fast growing and interesting field. The process of collaborating the robot’s intelligence with the internet of things will yield a useful product to mankind. This paper talks about one such output which is a robot car. The main motivation for this design is to allow the car to navigate in an unknown environment by avoiding collisions and manual control using a Bluetooth mobile app. A robot is a machine that can perform tasks automatically or with guidance. The project proposes a robotic vehicle with intelligence built into it to guide itself whenever an obstacle comes ahead of it. And, we can control steering manually by mobile phone.
Penerapan Sistem Informasi Perbankan pada PT Bank Sumut

Technology is an important influence for the progress of a company's information system. This is inseparable from the increasingly sharp competition between banking companies, therefore companies need to apply an information system technology to banks. Information systems in banking aim to provide comfort, convenience and satisfaction to consumers or customers and also for modern information system technology companies capable of improving company operations. The purpose of this study was to find out about the bank information system at PT. SUMUT Bank. The discussion technique used is descriptive method. Data collection techniques were carried out to the library of several scientific books and writings related to the discussions carried out as well as journals related to this thesis. The bank information system at Bank SUMUT is internet banking or what is known as e-Banking. The term e-Banking is making transactions, payments and other transactions via the internet with a bank's website that is equipped with a security system. The advantage of eBanking is that customers do not need to stand in line to make financial transactions. Customers can immediately carry out banking activities at home and anywhere. Apart from that, it also saves time, customers do not need to spend all day just to complete various financial transactions. However, the drawback of this bank information system is that it is prone to burglary. Lost funds often cannot be returned and customers experience losses. Apart from that, there are other disadvantages, namely depending on the internet, it is impossible to carry out e-banking transactions in areas where there is no internet network. It is expected that the internet network speed must also be faster, if the internet network is old then e-Banking will experience transaction failures.&#x0D; Keywords: information system, banking
Meningkatkan Aktivitas Belajar Siswa Kelas V Menggunakan Alat Peraga IPA Sistem Pernapasan Manusia di SD Islam Nurul Huda Jatipulo Jakarta

This research is motivated by learning activities, enthusiasm, and interest in learning owned by fifth-grade students at SD Islam Nurul Huda Jatipulo has decreased, especially in science subjects due to reduced student interest in learning, and less interesting ways of learning so that students are easily bored learning. The purpose of this class action research is to increase the learning activities of fifth-grade students with the use of science props Human respiratory system. The subjects of this class action research are fifth-grade students of SD Islam Nurul Huda Jatipulo Jakarta 2022/2023. The research subjects totaled 15 students consisting of 7 male students and 8 female students. The type of research used is classroom action research (PTK) which includes several cycles consisting of stages such as planning, action, observation, and reflection. The data analysis techniques used were descriptive qualitative and descriptive quantitative. The results of this study are that in cycle I the percentage of the number of students who met the good category was only 20%, then increased to 80% in cycle II. The average percentage of student learning activities in each aspect continued to increase in cycle I with an average percentage of 43% which then increased in cycle II with an average percentage of 87%.
Pengembangan Lembar Kerja Peserta Didik (LKPD) sebagai Media Pembelajaran Biologi Berbasis Android pada Materi Sel di SMA/MA

The learning process requires a medium to achieve learning objectives. One of the learning media used in schools is LKPD. LKPD (Student Worksheets) are needed to support the material in the learning process. The LKPD available in schools is still in the form of sheets like books making students' low interest in reading and working on them. These learning media cannot be used at any time by students (less practical). Student worksheets that exist today need innovation so that they can keep up with the times and will make it easier for students to learn. One of the innovations in learning media that is used in learning is the Android-based LKPD. At SMAN 1 Lunang teachers use LKPD which is still in the form of sheets like books and there is no innovation in learning media. For this reason, it is necessary to develop teaching materials in the form of Android-based worksheets. The research aims to produce Android-based LKPD on cell material that is valid and practical. This Android-based LKPD development research uses a 4-D model. This model has four stages of development, namely define, design, develop and disseminate. This research was carried out until the develop stage, namely the validity test and practicality test. The validity test was tested by a validator consisting of 2 lecturers and 1 biology teacher. The practicality test was assessed by 1 biology teacher. The instrument used is a questionnaire. Data were analyzed descriptively using the percentage formula. The results of the Android-based LKPD validity test with a result of 84.88% with very valid criteria. Practicality test results with a result of 81.11% with very valid criteria. Based on the results of the validity test and practicality test, it can be concluded that this LKPD is very valid and very practical.
The Implementation Of Linguistic Intelligence In Teaching Speaking Through Audio-Visual

The research aims to describe; (1) the process of teaching speaking by using audio visuals, (2) the problems that appeared and its solution in implementing linguistic intelligence for teaching speaking through audio-visuals, and (3) the improvement of students speaking skills. The method used was Classroom Action Research, which involved students in the third semester of the Foreign Language Academy of Dian Cipta Cendikia Bandar Lampung. This action research consisted of 2 cycles. In the first cycle, students did activities such as listening to the songs in audio, reading the song's text and understanding the song's lyrics, and practicing speaking individually. In the second cycle, students did activities such as listening to the song in audio and visual, reading and understanding the song lyrics using word functions (noun, verb, adj., and adv.), and practicing speaking in pairs. The data were from students, teachers, and test observations. The findings indicated that; (1).&#x0D; There was an improvement in active students in learning activities; first cycle, 2D3-BIa class had 50% active students in the first meeting and 65% active students in the second. There was an improvement for active students in the second cycle. 2D3-BIa class had 70% active students in the first meeting and 85% active students in the second. It means that the data had reached a minimum indicator of 70%, and (2) problems that appeared during the implementation of the teaching-learning process happened in pronouncing words, understanding words function, and expressing the idea of the content of the song's text. The solution was that the teacher should help all the students' problems to develop speaking skills repeatedly, and 3) the improvement of students' speaking skills was significant. In the first cycle, students who passed the test were 60%. There was an improvement in the second cycle. Students who passed the test were 85%. It means that the data had reached the minimum indicator.
Aggregation algorithm based on consensus verification

Abstract Distributed learning, as the most popular solution for training large-scale data for deep learning, consists of multiple participants collaborating on data training tasks. However, the malicious behavior of some during the training process, like Byzantine participants who would interrupt or control the learning process, will trigger the crisis of data security. Although recent existing defense mechanisms use the variability of Byzantine node gradients to clear Byzantine values, it is still unable to identify and then clear the delicate disturbance/attack. To address this critical issue, we propose an algorithm named consensus aggregation in this paper. This algorithm allows computational nodes to use the information of verification nodes to verify the effectiveness of the gradient in the perturbation attack, reaching a consensus based on the effective verification of the gradient. Then the server node uses the gradient as the valid gradient for gradient aggregation calculation through the consensus reached by other computing nodes. The proposed algorithm outperforms existing common aggregation algorithms (Krum, Trimmed Mean, and Bulyan) in the face of delicate disturbances and attacks on the MNIST and CIFAR10 datasets. In our experiments, we show that the proposed consensus aggregation algorithm successfully defends against a variety of Byzantine problems and effectively solves delicate disturbance/attack in Byzantine problems in distributed learning.
Crypto-Currency Price Prediction Using Deep Learning

After the price swings of crypto-currencies in past years, it has been considered as an asset. As crypto-currency is unpredictable, there arises the requirement of crypto-currency price prediction with greater level of accuracy. For this many researchers uses variety of ML and DL algorithms and are applying them to build a model which will predict crypto-currency price with improved accuracy. To build successful investment plan, accurate prediction is needed. The proposed method uses combination of LSTM and GRU for the bitcoin price prediction in order to find the closing price of bitcoin
English to Hindi Cross-Lingual Text Summarizer using TextRank Algorithm

Cross-Lingual Summarizer develops a gist of the extract written in English in the National Language of India Hindi. This helps non-anglophonic people to understand what the text says in Hindi. The extractive method of summarization is being used in this paper for summarizing the article. The summary generated in English is then translated into Hindi and made available for Hindi Readers. The Hindi readers get the heart of the article they want to read. Due to the Internet’s explosive growth, access to a vast amount of information is now efficient but getting harder and harder. An approach to text extraction summarization that captures the aboutness of the text document was discussed in this paper. One of the many uses for natural language processing (NLP) that significantly affects our daily lives is text summarization. Who has the time to read through complete articles, documents, or books to determine whether they are helpful with the expansion of digital media and the profusion of articles published? The technique was created using TextRank, which was determined using the idea of PageRank established for each page on a website. The presented approach builds a graph with sentences as nodes and the weight of the edge connecting two sentences as its nodes. Modified inverse sentence-cosine frequency similarity gives different words in a sentence different weights. The success of the procedure is demonstrated by the performance evaluation that supported the summary technique.
PROVIDING A BARRIER-FREE ENVIRONMENT: A LIBRARY COMPONENT

Providing appropriate and favorable conditions during the educational process for applicants with special educational needs (SEN) is now an extremely important issue for most higher education institutions. The article analyzes the current situation and identifies the library component of providing a barrier-free environment for students with special educational needs. One of the important components of the barrier-free environment of a higher education institution should be the unimpeded access of PLO applicants to educational information resources. Therefore, this component has the ability and should provide the library of higher education.
Connectedness Among the Pixels at the Product Digital Topology

Abstract: The aim of this paper is to analyze at the concepts connectedness of the separated interior circles at the pixels at the product digital topology with the axioms C1, C2, C3 in the cartesian complex and also at the structure of the elements at the collections of the pixels and interior circles in that region.
Model Comparison of Covid-19 in Lampung Indonesia

The COVID-19 has been pandemic in the world and has resulted in so many deaths due to being infected by the virus, therefore this study aims to determine a suitable model in estimating the number of deaths due to being infected by the COVID-19. This study focus in Lampung, Indonesia. The analysis of the death number was using three methods, there waspoisson regression, negative binomial regression (NBR), and generalized poisson regression (GPR). From the results, three predictor variables have significant effect to the model, there was positive cases of COVID-19, number of poor people, and life expectancy, while population density per km2 has no significant effect. The best estimation model has smallest AIC and BIC values, and the poisson regression method is the best among other methods.&#x0D; Keywords: Poisson Regression, NBR, GPR, COVID-19
Android-Based Learning Multimedia E-Module Flip-Book Design

In fact, the teaching materials are still using teaching books, so in the learning media courses will be developed based on digital art teaching materials at Universitas Muhammadiyah Tapanuli Selatan. In the development of the teaching materials contain teaching materials tailored to the curriculum that applies with the tools and materials contained in the environment. Research objectives to know the expert opinion on the feasibility test and influence of the development of digital art-based teaching materials. Research and Development (R&amp;D) method of ADDIE model (Analyze, Design, Development, Implementation, and Evaluation). For the average result of expert validator assessments on this study covers aspects of feasibility standards based on BSNP by 3.27, then the validity criteria is quite good {quite valid and need revision}. The result of student learning creativity Assessment was obtained at 3.18, hence the creativity category is creative.&#x0D; Keywords: Flip-Book design; multimedia; Android-based; ADDIE
The Effect of Cooperative Script Model on Students' Reading Comprehension at Grade XI SMA Swasta Daerah Kisaran

The objective of the study is to find out the effect of using cooperative script model on students’ reading comprehension at Grade XI SMA Swasta Daerah Kisaran. This study conducted in experimental design, namely to find out the students’ reading comprehension by using Cooperative Script Model. The population of this research is then from the grade XI of SMA Swasta Daerah Kisaran. There are two classes, namely class XI IPA1 and XI IPA2 totaling 50 students. The sample of this research was at Grade XI IPA2 as an experiment group and XI IPA1 as an control group. the conclusion is significantly effect on the students reading comprehension achievement, and also the test is reliable. As the t-test result is higher than the t-table at 0,05 and 0,01 level of significant ( 24,39 &gt; 2,01 and 24,39 &gt; 2,68) and is very effective to apply in teaching reading by using Cooperative Script model the students can help them to ask effective questions as they read and respond to the text, and also encourages teachers to be aware of, and it is hopped to the teachers use the Cooperative Script model to make the students more students’ active and make learning process is effective.&#x0D; Keywords: Cooperative script model; learning process; experimental design
Selecting Control Menu on Electric Wheelchair Using Eyeball Movement for Difable Person

Each country's number of people with disabilities and strokes increases yearly. Hand defects and stroke make them have limitations in doing activities. It caused their hand has paralyzed. Hence, they find it difficult to do daily activities, such as running a wheelchair, choosing a menu on the screen display, and so on. One solution offered is utilizing eye movement as a navigation tool that can replace the role of the user's hand, so they can run a wheelchair independently or choose a menu selection on display by themselves through the movement of their eyes. Detection of eyeball movements in this study only utilizes a camera as a sensor mounted in front of the user. So that it is more practical and easier to use than if we have to pair an electrooculography sensor in the area around the user's eyes. This research proposed a new approach to detect the five gazes (upward, downward, leftward, rightward, and forward) of the eyeball movements by using Backpropagation Neural Network (BPNN) and Dynamic Line Sector Coordinate (DLSC). Line Sector Coordinate is used to detect the eyeball movement based on the pupil coordinate position. The eyeball movement direction was analyzed from four lengths of a line. Our proposed method can detect five gaze directions that can be used for selecting four menus on the display monitor. The mean accuracy of our proposed method to detect eye movements for each gaze is 88.6%.
The Design of Convolutional Neural Networks Model for Classification of Ear Diseases on Android Mobile Devices

An otorhinolaryngologist (ORL) or general practitioner diagnoses ear disease based on ear image information. However, general practitioners refer patients to ORL for chronic ear disease because the image of ear disease has high complexity, variety, and little difference between diseases. An artificial intelligence-based approach is needed to make it easier for doctors to diagnose ear diseases based on ear image information, such as the Convolutional Neural Network (CNN). This paper describes how CNN was designed to generate CNN models used to classify ear diseases. The model was developed using an ear image dataset from the practice of an ORL at the University of Mataram Teaching Hospital. This work aims to find the best CNN model for classifying ear diseases applicable to android mobile devices. Furthermore, the best CNN model is deployed for an Android-based application integrated with the Endoscope Ear Cleaning Tool Kit for registering patient ear images. The experimental results show 83% accuracy, 86% precision, 86% recall, and 4ms inference time. The application produces a System Usability Scale of 76.88% for testing, which shows it is easy to use. This achievement shows that the model can be developed and integrated into an ENT expert system. In the future, the ENT expert system can be operated by workers in community health centres/clinics to assist leading health them in diagnosing ENT diseases early.
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data

In data analysis, recognizing unusual patterns (outliersâ€™ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. As a result, numerous techniques for finding anomalies have been developed, and more are still being worked on. Researchers can gain vital knowledge by identifying anomalies, which helps them make better meaningful data analyses. However, anomaly detection is even more challenging when the datasets are high-dimensional and multivariate. In the literature, anomaly detection has received much attention but not as much as anomaly detection, specifically in high dimensional and multivariate conditions. This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within high-dimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. This paper aims to help select the best technique that suits its rightful purpose. It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. Overall, most methods have shown an excellent ability to tackle the curse of dimensionality and multivariate features to perform anomaly detection. Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. Finally, it would be a line of future studies to extend by comparing the methods on other domain-specific datasets and offering a comprehensive anomaly interpretation in describing the truth of anomalies.