Reviewerly/exHarmony huggingface dataset:
Implementasi Metode Naive Bayes pada Sistem Pakar Diagnosis Penyakit Kutu Ikan Gurami (Argunus Indicus)

Gouramy is a freshwater fish that is widely cultivated by breeders and many experience death. Many deaths are caused by various diseases such as fungi and fish lice. The presence of disease in gouramy causes losses due to the number of deaths and can reduce quality such as freshness, color, and body defects which can affect the selling price of fish or economic value. Gouramy mortality data can reach up to 50%-100%. To reduce losses due to high mortality, an expert is needed to diagnose the disease. But the fact is that not all gouramy farmers understand how to diagnose fish, therefore an expert system is needed that can be used to help farmers to diagnose fish lice disease based on symptoms. The results of the system evaluation using 20 (twenty) fish symptom data obtained from carp breeders in 2021 which were compared with expert beliefs calculated using the confusion matrix table, the accuracy values were 94.2%, precision 95%, sensitivity 95% and specivity 93.3%. The evaluation results prove that Naïve Bayes has succeeded in providing good diagnostic results, so that the developed system can be used by fish farmers in diagnosing gouramy disease. Keywords: Gourami; Diagnosis; Fish Fleas; Naive Bayes; Expert system
Sentence Continuation Inference of Urdu Text by BERT Technique

Abstract The transformer-based BERT pre-trained language model has helped to improve state-of-the-art performance on a number of natural language processing (NLP) tasks.The BERT for Arabic has been well researched and has shown to be effective.However, the BERT for Urdu has yet to be tested.In this study, we show how pre-trained BERT models may be used to recognise cursive text such as Urdu.We employed pre-trained models because a dataset for synthetic Urdu was not accessible for research, thus we provided a synthetic Urdu dataset of 53k characters and got good results. If we could provide the BERT with a large amount of data, it would deliver impressive results.Initial results for Urdu text show that if we provide more data to the BERT pre-trained model, accuracy will improve even further.
SISTEM INFORMASI DAN REKOMENDASI PENJUALAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

PD. Prima Karya Busana is an embroidery service provider since 2006 but more modern competitors have emerged. The COVID-19 pandemic has also forced digitalization activities. With this sales information and recommendation system, customers don't need to come and order manually, which can be done via the web as well as reach out to potential customers. There is a recommendation feature that can be used by customers to determine the selection of the best type of embroidery fabric based on several criteria such as price, weight, absorption rate, level of smoothness, clarity of embroidery stitches, and material resistance through interviews with PD. Prima Karya Busana owner using Simple Additive Weighting method. The method used for web development is System Development Life Cycle with Rapid Application Development model. The programming language used is PHP and MySQL as the database. The development has been completed properly based on Blackbox Testing and in accordance with the PD. Prima Karya Busana owner based on User Acceptance Testing and feedback provided. Customers and prospective customers are also proven to be able to access the web online well and use the recommendation feature to choose the best type of embroidery fabric based on the User Acceptance Testing.
VIBEZY: An AI based IoS Music App

Abstract: AI-based Music iOS App is an advanced version of current music apps, with voice &amp; face recognition and it will not only reduce human efforts but also aims at scanning and interpreting the data and accordingly plays music based on facial expression with the additional feature of FM radio. This project is mainly focused on designing user-friendly and developing an effortless application with songs and playlists based on your mood and even visually challenged people can use them freely. Keywords: Music, AI, Android, iOS, Voice Recognition.
ANALISIS DAN PERANCANGAN KNOWLEDGE MANAGEMENT SYSTEM UNTUK MENINGKATKAN KINERJA PEGAWAI PADA BADAN NARKOTIKA NASIONAL KOTA TANGERANG SELATAN BERBASIS WEBSITE

Technology is growing nowadays, so organizations must keep up with existing technological developments. The National Narcotics Agency for South Tangerang City (BNN South Tangerang City) manages Knowledge, an organizational asset; a Knowledge Management System is needed. This research aims to produce a Knowledge Management System design that employees can use to document and share Knowledge. Data collection methods used are observation, interviews, and literature study. The system development method used is Rapid Application Development (RAD) and uses Unified Modeling Language (UML) as a tool for describing and designing the system. This research results in a Knowledge Management System that can help employees acquire Knowledge effectively and efficiently. Keywords: Knowledge Management, RAD, System, UML, Website
Dual axis solar tracker system using optimal hybrid controller

&lt;span&gt;Renewable &lt;span&gt;energy plays a crucial role in the modern life. It has several forms, such as wind, hydroelectric, and solar energy. The latter is the most popular energy sources in wide areas. In order to maximize the generated energy from solar panels, these panels should be placed and remain in a vertical position with the sun rays. Therefore, a novel system is proposed in this paper to track the sun rays through designing and implementing a solar tracking system with hybrid controller type (controllino), which a hybrid controller that combines the programmable logic controller (PLC) and microcontroller. This leads us to mix the advantages of PLC and microcontroller thus, get fast and flexible control with several input and output which makes the cost is very low and the software is free and unprotected from the production companies. The system that has been built is controlled by self-controller which has the ability to track the position of the sun and control on the movement of the solar panel in order to keep the direction of the solar panels perpendicular to the sun. As a result, the efficiency will increase without the need to identify the geographical location where the solar panels are located and reduce the cost of generating energy by requiring a minimum number of solar panels.&lt;/span&gt;&lt;/span&gt;
DiGiVoter: An Online Voting System

Abstract: To design a system 1. Allows the voters to login with aadhaar no, which is then matched with an already saved within a database that is retrieved from aadhaar card database of the government. 2.The voting system is managed in a simpler way as all the users must login by aadhaar card number and One Time password and click on his/her favourable candidates to cast the vote. 3. Increase the voting percentage in India and reduces the cost of voting process. By using unique identification no it provides enough security which reduces the false votes. Keywords: Online voting system, Face recognition, OTP
A Study of Health Promotion Behavior and Health Education Needs of College Students

The purpose of this study was to identify in detail the characteristics of health promotion behavior and health education needs related to health promotion of college students.It is intended to present as basic data necessary for developing and establishing an effective health education program suitable for college students.The research ubjects were 494 students enrolled university C located in the J province.. Data was collected based on December 1 to December 31, 2021.The collected data were analyzed using the SPSS 21.0 program.Health education needs were nutrition 15.0 points, mental health 11.5 points, disease prevention and management 15.0 points, substance abuse 10.4 points, family and sexuality 18.1 points, environmental health 6.7 points, daily life habits 15.3 points, safety education 14.8 points, community health 7.0 points.As a result of analyzing the health education needs according to the general characteristics of the subjects, Moreover, mental health, disease prevention and management, substance abuse, family and gender, environmental health, and community health showed statistically significant differences in grade, and safety education, community health showed statistically significant differences according to drug use.Through the results of this study, it is thought that health education for college students needs to develop and operate programs by grade level so that students can provide various educational methods and experiences in each area to influence the formation of roles and values as future members of society.
A simple and efficient deep scanpath prediction

Visual scanpath is the sequence of fixation points that the human gaze travels while observing an image, and its prediction helps in modeling the visual attention of an image.To this end, several models were proposed in the literature using complex deep learning architectures and frameworks.Here, we explore the efficiency of using common deep learning architectures, in a simple fully convolutional regressive manner.We experiment with how well these models can predict the scanpaths on 2 datasets.We compare with other models using different metrics and show competitive results that sometimes surpass previous complex architectures.We also compare the different leveraged backbone architectures based on their performances in the experiment to deduce which ones are the most suitable for the task.
MENINGKATKAN HASIL BELAJAR PESERTA DIDIK KELAS XI B OTKP SMKN 1 BANJARMASIN PADA MATA PELAJARAN MATEMATIKA DENGAN MODEL PEMBELAJARAN BLENDED LEARNING Oleh : Noor Kumala Dewi

IMPROVING STUDENT LEARNING OUTCOMES CLASS XI B OTKP SMKN 1 BANJARMASIN IN MATHEMATICS SUBJECTS WITH BLENDED LEARNING MODELVocational High Schools (SMK) have a goal to create or prepare graduates to have quality abilities and skills as provisions for independent living and ready to work in accordance with their respective fields. This research was motivated by the problem of lack of activeness and enthusiasm of students in class XI B Office Administration at SMK Negeri 1 Banjarmasin, in Mathematics. This is because in implementing the teaching and learning process, teachers use online learning not face-to-face. The objectives of this study are: (1) Improving the quality of online learning in Mathematics subjects using the Blended Learning Model (2) Knowing the improvement of student learning outcomes through the application of the Blended Learning Model. To achieve this goal, classroom action research was conducted in three cycles, each cycle consisting of two meetings. In this study, data collection techniques were carried out by means of observation, interviews, tests, and Performance Assessment Sheets. The results show that the application of the Blended Learning Model can improve student achievement in class XI B Office Administration at SMK Negeri 1 Banjarmasin in Mathematic. The results of the data obtained from cycles I, II, and III, the application of the Blended learning learning model using Google Meet and Google Classroom in Mathematics subjects, students' learning outcomes increased. In the first cycle as many as 14 students, the second cycle increased by 20 students, and in the third cycle to 31 students.
Peningkatan Hasil Belajar IPS Berbantuan Multy Platform Pada Siswa Kelas V SD

The purpose of this action research is to know the process of implementing multi-platform assisted learning to improve social studies learning outcomes for fifth-grade students at SDN Siraman III. The type of research used is Classroom Action Research. The time research was out from January 2021 to March 2021. The research location was at SDN Siraman III. The research subjects were 17 students of class V, consisting of L: 9 and P: 8. The object of the research was the result of social studies learning. The methodology used in this research is Classroom Action Research on improving social studies learning outcomes assisted by multi-platform. The steps of this Classroom Action Research include planning, action, observation, and reflection. The implementation consists of 2 cycles of measure. The obstacles in implementing this multi-platform assisted learning are signal difficulties and limited communication tools. Signal troublesome can get over by finding a place where the signal coverage is stronger. The limitations of communication tools in carrying out the task are apt a separate grace period. Multi-platform assisted learning with google meet, google classroom, and WhatsApp groups can accept by students. The proof is that response students are best, very enthusiastic in participating in online learning so that learning outcomes increase. This study concludes that multi-platform assisted learning can improve social studies learning outcomes for fifth graders at SDN Siraman III. It is proven by an increase in learning outcomes in cycle 1 with an average of 68.71%, best denomination, increased to 90.06% in cycle 2 with a very best denomination.
Penggunaan Media Gambar dan Alam Sekitar Pada Peningkatan Hasil Belajar IPS Siswa Kelas IV SDN Pudak, Tepus, Gunungkidul

The use of learning media is very influential on the learning process. Image media is a form and channel that can be used in the process of presenting information. The natural environment is needed to provide real experience in the learning process. The purpose of this study was to improve social studies learning outcomes on natural features in the local environment for fourth graders at SDN Pudak, Tepus. This research uses classroom action research method. The research subjects were students of class IV SDN Pudak Tepus totaling 8 students, consisting of 3 boys and 5 girls. The data processing procedure is carried out through a flow process consisting of four stages, namely: 1) planning; 2) implementation; 3) observation; 4) reflection. The results showed an increase in student learning outcomes, namely: (1) Pre-cycle, as many as 3 students (37.5%) achieved mastery learning; (2) the first cycle, as many as 6 students (75%) were able to achieve complete learning; and (3) cycle II, as many as 8 students (100%) were able to achieve complete learning. Based on these data, it can be concluded that by using media images and the natural surroundings can improve student social studies learning outcomes.
Satisfaction of University Students with Teaching Performance, When Applying Virtual Teaching in the Context of COVID-19

This article aims to analyze the satisfaction of university students from the per-spective of teaching performance, in face-to-face (2019-II) and virtual (2020-I) teaching-learning, due to the health emergency, declared in Peru, by COVID-19. These results will allow the Public University to implement continuous improve-ment plans in the teaching-learning development of the virtual environment. When performing the comparative analysis, it was determined that the careers that present the greatest satisfaction in 2020 - I, are business administration with 82.97% and systems engineering with 78.07%. Then it was identified that the in-dicators that present a greater negative variation are "The quality of the develop-ment of classes and activities" with 5.88%, and "Treatment of students during class", with 2.49%. With these results it can be indicated that the satisfaction of the students has presented a slight positive variation towards the teaching perfor-mance when applying the virtual modality.
Fundamentals of psychological readiness for the profession for fitness and recreation professionals: psychological and pedagogical problem

An attempt is made to explore the specifics of psychological readiness for professional activity, in particular as a basis for future pedagogical activities of fitness and recreation professionals in the context of psychological and pedagogical problems. Theoretical analysis of the study of the concept of "psychological readiness" in modern science and summarizes the characteristics, states and mental processes of the individual that lead to professional activity in the field of knowledge 01 Education / Pedagogy.&#x0D; Despite the different approaches in research, most authors consider psychological readiness as a specific phenomenon - an integrative formation that has a complex, dynamic, multicomponent structure. Summarizing research data on the problem of psychological readiness for teaching, we state the fact that they are not mutually exclusive, but expand, deepen and complement the idea of the complexity and diversity of the concept of psychological readiness for teaching. It was found that in the structure of professional activity of educators most researchers highlight the presence of: adequate motivation; general and special knowledge; professional skills and abilities; professionally important personality traits. Motivation is conditioned by a positive attitude to professional activity, in obtaining the necessary amount of special and psychological knowledge, professional skills and abilities, focus on high results of pedagogical activity, the desire for professionalism.&#x0D; It is investigated that the structure of psychological readiness for pedagogical activity consists of such general components as: orientation, psychological and pedagogical knowledge and professional skills (more often they are considered as the main characteristics of teacher competence), ability. Most of the authors single out these components as the main integral characteristics. The study identified three main levels of psychological readiness in psychology, such as: the level of non- professional training, pre-vocational training, vocational training. Identifying the level of psychological readiness is very important for the quality functioning of the educational and training process, so various psychological techniques are used, working at the level of basic personality traits and states in general, and at the level of professional competence and cognitive abilities of future fitness and recreation specialists in particular.
Pemanfaatan Perpustakaan Digital Sebagai Sumber Belajar Elektronik Masa Pandemi COVID-19 di SMA Negeri 3 Batam

The Indonesian government, through the Ministry of Education and Culture, has appealed to all schools to carry out online learning as stated in the Circular of the Minister of Education and Culture of the Republic of Indonesia Number 4 of 2020 concerning the Implementation of Education in the Emergency Coronavirus Disease (COVID-19). As a result, many students find it difficult to undergo the learning process online due to limited electronic learning resources. Departing from this problem, it is necessary to have a digital library that can be used as a learning resource to optimize the online learning process. This research was carried out using descriptive quantitative methods involving SMA Negeri 3 Batam students as research subjects. Based on the data obtained, it is known that as many as 31.80% of students find it difficult to get learning resources during the online learning process. Therefore, presenting a digital library is the right step to optimize online learning during the COVID-19 pandemic..
Italian as L3 of Romanian university students: transfer from English and psychotypology effect

Italian as L3 of Romanian university students: transfer from English and psychotypology effect) The purpose of this paper is to analyse how Romanian university students learn Italian as a third language.L3 acquisition is a relatively recent field of study since acquisitional linguistics has often paid little attention to the influence of other languages known by students.Although Romanian learners can rely heavily on their L1, which is typologically close to Italian, English and other languages still have a strong influence.Various studies (Safont and Portoles, 2015;Cenoz, 2013) have shown both the differences in the acquisition of L2 and L3, and the advantages of bilinguals compared to monolinguals in learning a language.In this paper, in particular, we will consider the transfer from English (and possibly from other languages) to Italian both from the perspective of error analysis, and the concept of psychotypology (Kellerman, 1983).This term indicates how the learner perceives the typological difference between L1 and L2.Kellerman considers it one of the main factors in the phenomenon of linguistic transfer and the definition of the concept of transferability.Consequently, this paper will attempt both to highlight the most frequent errors of Romanian learners that can be ascribed to the interference of English most of all and possibly other languages, and, via questionnaire, the influence of the effect of psychotypology in assessing how much the mindful perception of a learner can influence the transfer phenomenon.
Can Digital Currencies Serve as Safe Havens in the Post-Covid Era?

The exponential growth of digital currencies in general and cryptocurrencies, in particular, has seemingly broken every record in the book. This has generated in the process a tremendous amount of interest in both developed and developing countries from scholars, academics, politicians, decision-makers and other stakeholders. Considering an applied methodology about asymmetric volatility with Exponential General Auto-regressive Conditional heteroscedasticity (EGARCH), this research work explores the fundamentals of the behavior of cryptocurrencies comparatively to a benchmark of key assets. To achieve its goal, this study uses two classes of assets. On the one hand, the first class (Class I) includes seven ̶ Bitcoin, Ethereum, Binance, Dogecoin, Tether, Ripple, and Cardano ̶ of the top 10 cryptocurrencies, which, as of July 2021, commanded more than $1.5 trillion in market capitalization. On the other hand, the second class (Class II) is comprised of three traditionally established, well-known and “safe” assets, namely, gold, the 3-month US treasury bill and the 30-year US treasury bond. Using thousands of datapoints, empirical findings regarding volatilities, returns, clustering and leverage effects of the two asset classes do not reveal any startling contrasts to warrant an outright dismissal of crypto-assets as viable repositories of purchasing power and value. However, the pace in the move towards a full “safe haven” status will hinge upon the introduction of a clear regulatory and legislative framework in the US and other major countries to instill more confidence and certainty about crypto assets in a post-Covid era.
An Efficient Temporal Inter-Object Association Rule Mining Algorithm on Time Series

Time series is acknowledged as one of the most common crucial data types in our daily lives. Among the time series mining tasks, rule discovery is important to provide valuable knowledge that brings us a profound insight view of relationships between different objects through time. One challenge is that when the number of objects and their lengths increase, it easily leads to a combinatorial explosion. Therefore, we propose a temporal inter-object association rule mining algorithm, NPTR, to discover new informative temporal inter-object association rules from time series and overcome the challenge with parallelization. Another remarkable point is that NPTR defines a concurrent approach by performing the frequent pattern mining process and rule mining one simultaneously. From the experiments on real-world data, NPTR returns the rules exactly with less time and memory costs than others do. Those rules can be further utilized for other tasks such as prediction, classification, and clustering.
Study on Google Glasses

Abstract: Google Glass is an application of a small system that can beware of your eyes and do some of your daily life tasks easily and with hand-free commands. This paper presents a systematic review of google glass and its application. The paper is divided into 3 parts Current system, issue with the current system, the new system Keywords: Google Glass, Homework Helper, Body Scan, OCR scan