Reviewerly/exHarmony huggingface dataset:
Chatbot for Healthcare

Healthcare is a very important thing for everyone to lead a good life. and it is very difficult to obtain the consultation with the doctor for every health problem.it is difficult to consult a doctor for every small problem The idea is to make chatbot for healthacare using Artificial Intelligence that can diagnose the disease and provide the normal basic details about the disease before consulting a doctor. And This will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot. A chatbot is a Computer Software program that conducts a conversation via auditory or textual methods. A system will contain all the users default quarries and it will be saved in database if any customer asked their querry then it will match with saved data then automatically it will give respond for the customer quarry. This project done by using Artificial Intelligence Natural Language with Python platform Ranking and sentence similarity and this a web application where users have to regiter in the applications before login and after patient has to enter his basic details with there id and there id helps usto rember the details of the patient. Keywords:-Chatbot, Healthcare,Chatbot Assistance Artificial Intelligence, Virtual Assistance.
Analisis Kualitas Pelayanan Terhadap Kepuasan Konsumen Berbelanja Baju Polos dan Sablon Digital di Toko Cititex Cabang Kota Pematangsiantar

The satisfaction of consumers shopping for plain clothes at the Cititex store in the Pematangsiantar branch is one of the most important things in assessing the level of service and quality provided by the store to its consumers. The purpose of this study was to determine the quality of service to consumers in terms of Quality (Quality), Responsiveness (Responsiveness), Empathy (Empathy) to consumers. At the Cititex plain clothes shop, the Pematangsian branch, these three aspects have not been measured with certainty, so the shop finds it difficult to determine which aspects should be improved. The method used in this study is the C4.5 Algorithm, where the data source used is a questionnaire technique given to consumers. The research test process uses RapidMiner software to create a decision tree. The results obtained 2 rules for the classification of the level of consumer satisfaction with the quality of materials and store service. The C4.5 algorithm can be used in the case of consumer satisfaction at the Cititex plain clothes shop, Pematangsiantar branch with an accuracy rate of 96.50%. From the results of the analysis is expected to improve the quality of materials and services in providing services to consumers to be even better
From Face-to-Face to Online Learning in the Blink of an Eye: The Impact of Switching to Virtual Education on University Professors and Students’ Performance and Emotional Health

The only assertion that can be made about the future of humanity after the global COVID-19 pandemic is that it will never be the same. All aspects of our life, whether personal, social, professional, or academic have been affected. Considering this, teachers, education authorities and students will have to reevaluate our tasks and roles as key participants in the education process. This quantitative and exploratory study aims to know the opinion of a non-probabilistic sample of 46 professors and 43 students of six different majors in a public Mexican university, regarding the change in the teaching modality as a result of the global pandemic, in order to point out the impact this change has had on the teaching and learning processes, as well as on the emotional health of the samples. It was found that teachers introduced new technologies in their courses to interact, present content, and collaborate. Students had to adapt to the new modality and the challenges implied in online learning. Both populations expressed those considerable changes in the daily routines occurred as well as a significant increase in the time dedicated to work and study. Similarly, the study revealed that learners experienced a negative impact of these conditions on their academic performance. It is also concluded that in order to be able to determine the efficacy of the implementation of Information and Communication Technologies and the actual impact of the emotional state of the population on the learning and teaching process, further research will be necessary.
Cinematography Drone with Automated Ability for Self-flight and Maneuverability

Abstract: Unmanned Aerial Vehicles or UAVs are an amazing piece of machinery that have proven their usefulness in various industries like construction, military, logistics, filmmaking, etc. They’re either operated remotely by a human controller from the ground or have automated capabilities to control its own flight. But due to several technological and environmental restrictions there are many models that can guarantee complete autonomous behavior of the drone. For being truly autonomous, UAVs will need to get far better at sensing its surroundings and obstacles to decide its own path and react in time to avoid collisions. This project specifically aims at enhancing the drones used in the tourism sector for the betterment of traveling experience of people by automating the process of capturing their experience along with autonomous flight capabilities. ML enabled cinematography drones to tackle the gap in the market where good camera drones are unavailable at a lower price point with an added benefit of hands-free automated flight patterns to capture cinematic shots. We have tried to achieve this milestone by using sensors that can detect the surrounding obstacles in real-time and manipulate its flight path to capture cinematic shots of the target object. Through the project we’re also automating various shots like hover, 360 degree view, follow at focus, etc that the drone will include into its flight path on the go. Operating an unmanned flying machine is very challenging especially when you’re flying the drone out of your line of sight and detecting objects using just one FPV camera or monitoring several cameras at the same time is not humanly possible. Hence, through this project we’re not only allowing travellers to enjoy their journey but also take videos of places they can’t reach without having to worry about losing or crashing their drones. There can be further research on this flying model to inculcate it for various industries as the flying pattern and requirement changes in each sector. Keywords: UAV (Unmanned Aerial Vehicle), Drone, Cinematography, ML, FPV, Automated flight
Designing Fish Optic Mobile Application for Fish Disease Identification

The signs and symptoms of fish disease can be traced by checking on the eye surface which is the cornea of fisheye. The Fish Optic mobile application aims to help students study the fisheye anatomy and to trace the symptoms of diseases on fish. The Fish Optic user mobile application uses Human-Centered System Development Life Cycle (HCSDLC) which consists of four phases which are project selection and planning, analysis, design and implementation. As HCSDLC emphasizes on user involvement throughout all phases, an interview was conducted, and a post task walkthrough was performed. User Acceptance Test formative evaluation was then conducted by distributing questionnaire. Some recommendations are also discussed for future works to improve and refine the design of the Fish Optic mobile application to enhance user experience. It can be concluded that using HCSDLC method throughout the design of Fish Optic mobile application contributes to a well-defined systems requirement to support user needs and to accommodate the lack of human understanding that frustrates users in their daily routines.
Enhancing Sign Language Learning with Augmented Reality

Sign language is the communication language used by people with disabilities, especially deaf and hearing-impaired people. The communication between normal and disabled people using sign language will help them carry out their daily activities. Unfortunately, normal people are not aware of the importance of sign language because they are not directly dealing with disabled persons. Besides, some normal people found that sign language is difficult to learn. This study focuses on developing a mobile application for sign language with augmented reality features. This application is targeted at normal people as a sign language learning tool, and augmented reality will make the learning process effective and exciting. The methodology for this study is the ADDIE model that consists of five phases, namely Analysis, Design, Development, Implementation, and Evaluation. This application will assist the users in learning sign language interactively and interestingly. The evaluation of the application was done by the expert in the related background and the normal people. The usability test result revealed that the sign language application is usable for normal people to know and learn the basic sign language. In conclusion, the sign language application is an interesting application for normal people to use and learn sign language.
Library Reservation System Using Face detection

Today, Covid-19 has completely changed our way of life. The new generation has made people stay at home, instead of going on vacation. The users are not allowed in a close place, especially in a building or room. The library that used to be packed with people reading books, studying, and using the computer is now becoming empty. The room in the library has been limited only to a certain number of people to prevent any dangerous situation regarding the Covid-19 virus to spread. The room needs to be reserved beforehand for the user to use. This situation has become a problem for users as the user’s desired room may be occupied by other users. Thus, Reservation System using face recognition for the library was developed to overcome this situation. In this paper, the researcher will use the Haar Cascade Algorithm to scan the face and MySQL as a database to detect the room and time slot for a reservation. Phyton language and Visual Studio Code were used to develop the system. The limitation of this project is that the face registration took a long time for some users because of the lightning that makes it the system hard to recognize the face. The recommendations for future work are to use a high technology camera to scan the face and construct an admin page because the system does not have an admin page.
Human Sentiment Analysis using Machine Learning &amp; Image Processing

Facial expressions reveal a great deal about a person's feelings. One of the most difficult aspects of interpersonal relationships is effectively reading facial emotions. Automatic emotion identification based on facial expression recognition has become a hot topic in domains including computer science, medicine, and psychology. For improved outcomes, HCI research communities employ an automated face expression recognition system. For the recognition of expressions in both static photos and real-time films, many feature extraction algorithms have been developed. Love, happiness, rage, fear, and sadness are all examples of human emotions. These photographs are quite diverse from one another, but they all show the same human emotion. In this study, we look into the prospect of utilising machine learning to predict an image's emotion. These kind of predictions can be employed in applications such as automatic tag predictions for social media photographs. Websites, as well as a buyer purchasing a product from a store or through a social media platform, can be useful for determining product quality.. Keywords:- Human Sentiment, Emotion, CNN, ten emotions, , RAFT.
The Use of Pre-Reading Strategy in Teaching Reading Comprehension

This study aims to find out the kinds of pre-reading strategy used by the teacher and how to apply pre-reading strategy in teaching reading comprehension. The formulated problems of this study were: (1) What kinds of pre-reading strategies are used by the teacher? (2) How is a pre-reading strategy applied for teaching reading comprehension? This research was conducted through qualitative research. The type of research was specifically a case study. The participants of this study were 33 students and one English teacher at the ninth-grade students of SMPN 1 Mancak, Serang. Observations and interviews were used to collect the data. The findings of the study indicated the teachers apply several kinds of pre-reading strategies, such as brainstorming, pre-teaching vocabulary, pre-questioning, and previews. There are some students who have barriers in reading comprehension due to lack of vocabulary. So, the teacher applied pre-teaching vocabulary to increase the students’ vocabulary. Besides, there are those who have trouble applying the kind of pre-reading strategy known as pre-questioning. Pre-questioning seems to be the most difficult to apply in Junior High School student. On the other hand, other kinds can assist students in determining a topic sentence of the text.
Secure E-Voting System

Secure E-Voting System is a python-based project. It is an efficient and financially savvy way of leading a democratic method, which has the characteristics of being large-scale data and real- time, as well as requiring a high level of security. Nonetheless, they are concerns about the security of systems administration and protection of correspondence for e-casting a ballot have been developed. Here, the client establishes a connection with the server, this implies that the TCP protocol is being used. For each new arriving Client, the Server should create a new thread to accomplish this feature we took care of concurrent thread, that is, when the number of connections is made with the server, that time each thread doesn’t interfere with one another. Therefore, we synchronized the threads. Securing e-casting a ballot is very urgent and has turned into a famous theme in correspondences and systems administration. This system puts a lot of trust in the central authority. It manages the security of information during the enrolment of the electors while surveying on the final voting day and then some and examining the votes to guarantee an impartial democratic climate. It additionally guarantees that the citizen is an enlisted and interesting elector who is qualified to cast a ballot and its polling form for casting a ballot is customized and gotten. The execution result shows that it is a practical and secure e-casting ballot framework, which takes care of the issue of falsification of votes during e-casting a ballot.
Capacity building of security officers through IVMS CCTV application training

Knowledge of CCTV observation using the IVMS CCTV application is critical in order to accurately and quickly support the monitoring and security process by utilizing mobile phones. At the Politeknik Harapan Bersama, a total of 17 security officers received training on how to use the IVMS application to assist security officers in monitoring conditions on campus. Participants learn about the fundamentals of CCTV, the IVMS CCTV application, and then get hands-on practice and assistance in using the application. The security officers were very enthusiastic and could understand and use the application well, from logging in to processing recorded data on CCTV with the IVMS application.
Rancangan E-Commerce Mochpoint Menerapkan User Centered Design Berbasis Web

E-commerce is one of the strategies of a trading company to increase sales in the current digital era. Online marketing and transactions have become commonplace in the world of buying and selling. Mochpoint is a store that sells clothing that prioritizes the needs of teenagers to adults. Several obstacles were experienced by Mochpoint when they were still using the old or manual system, namely the promotion of goods still using Instagram, transactions that were not automatic resulted in frequent recording errors and on the customer side it was difficult to find out the stock of goods and the absence of long distance sales which made it easier for the company to expand its marketing area. Mochpoint is a store that implements a B2C (Business to customer) business model, but has not yet used a web-based sales system or e-commerce. Through the use of this website's information system, it is hoped that it will be able to increase the need for data and information to potential customers of ochpoint, where potential customers can exchange data and information to transactions about all products available on mochpoint. . The mochpoint store website was created using the PHP programming language and database processing using MySQL with the website address Http://mochpointweb.epizy.com/. The website design process uses a navigation structure and UML design. The results of the implementation and testing of this website can run well according to the design based on the test results, namely by testing the website on the browser and testing using the black box method
About One Approach to Deploying an API Gateway Development Environment

The article outlines the problem of an integral approach to building an API gateway that includes the API gateway itself, the development of documentation for the API, sandbox for API end users, and automated testing. This problem is divided into tasks, each of which is solved. As a result, a general approach has been developed for deploying an environment for developing and executing API gateway, which takes into account: convenient configuration and launch of the gateway server, flexible development of APIs’ documentation and its convenient viewing by end users, as well as end-to-end and performance testing developed APIs. A demo example is given and its implementation features are described. The ways of its further development are proposed.
Think like a Bayesian and avoid pitfalls from our frequentist past

Bayesian inference is a powerful tool that is increasingly being used by ecologists. This is largely due to the flexibility in model specification and improvements in software that makes this tool easier to use. However, with increasing ease of use comes a risk of misuse or abuse. We review four major issues we have identified in the use of Bayesian methods and offer reminders and suggestions that will improve the application and reporting of Bayesian inference while at the same time, hopefully, avoiding the pitfalls that have plagued null hypothesis statistical testing (NHST). These issues include; 1) understanding software and model specification; 2) use of prior probability distributions; 3) maximizing utility of posterior probability distributions; and 4) avoiding dichotomous thinking (i.e., the NHST pitfall). We suggest ecologists should strive for openness in their use of statistical software by understanding their model and providing the full computer code used, develop reasonable and informative priors, and make full use of posterior information that Bayesian methods provide. At the same time, ecologists should avoid dichotomizing results into significant/ non-significant boxes, eliminate null hypothesis tests (including probability intervals for hypothesis testing), and use clear language when describing results. Finally, quantitative training should be expanded in undergraduate curricula to provide students with a larger suite of foundational core concepts that extend beyond NHST.
Simulation and Research on Lightning Wave Invading Communication Base Station

Simulation calculation is an important means to analyze lightning wave intrusion and ground potential counterattack, and the simulation results are dependent on the model.The models are different, the parameters are different, and the simulation results are different.Therefore, based on the in-depth study of each component model and parameters in the system, reasonable models and parameters must be obtained, and the simulation model can be accurately simulated under different conditions.This paper first establishes the component model related to simulation calculation, including line wave impedance, lightning arrester, overvoltage intrusion wave, and transformer and grounding resistance.
Optimalisasi dalam Penentuan Keputusan Level Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) Menerapkan Metode Preference Selection Index

The Covid-19 pandemic is a disaster for the entire world, even affecting all aspects of human life, both in terms of economy, social and culture. Therefore, the government enacted a regulation called Large-Scale Social Restrictions (PSBB) to stop the spread of COVID-19. In this case, the government makes a policy to change the Large-Scale Social Restrictions (PSBB) into the Enforcement of Community Activity Restrictions (PPKM) where the PSBB Restrictions are stricter than the Enforcement of Community Activity Restrictions (PPKM). Because the absence of a system makes it difficult for the government and requires a long time in determining the level of implementation of restrictions on community activities (PPKM). In order to assist in determining the level of PPKM, a decision support system is needed. The Preference Selection Index (PSI) method is a method used in a decision support system using simple steps in problem solving. The results of the research obtained that the highest rank is A7 with a value of 0.767 as level 1. By using the range on the PPKM level so that level 1 is Sibolga. Level 2 does not exist in the above alternative. Level 3 is terrain, Binjai, Pematang Siantar, Tebing Tinggi, Gunung Sitoli, Padang Sidimpuan, Tanjung Balai, Samosir and Kisaran and level 4 is not in the alternatives.
Analisa Distance Metric Algoritma K-Nearest Neighbor Pada Klasifikasi Kredit Macet

Data mining is a method that can classify data into different classes based on the features in the data. With data mining, non-performance loan categories can be classified based on data on lending from cooperatives to their members. This study uses K-Nearest Neighbor to classify non-performance loan categories with various distance metric variations such as Chebyshev, Euclidean, Mahalanobis, and Manhattan. The evaluation results using 10-fold cross-validation show that the Euclidean distance has the highest accuracy, precision, F1, and sensitivity values ​​compared to other distance metrics. Chebyshev distance has the lowest accuracy, precision, sensitivity, while Mahalanobis distance has the lowest F1 value. Euclidean and Manhattan distances have the highest reliability values ​​for true-positive and true-negative class classifications. Mahalanobis distance has the lowest reliability value for false-positive class classification, while Chebyshev distance has the lowest value for false-negative class classification