Reviewerly/exHarmony huggingface dataset:
Attitude Analysis of Michelle Obama’s Speech on the Opening Day of the Democratic National Convention in Philadelphia in 2016

This study aims to analyze Michelle Obama&amp;rsquo;s speech on the opening day of the Democratic National Convention in Philadelphia in 2016 using the appraisal system. The data were obtained from the internet using the document method. Qualitative and descriptive approaches were undertaken to achieve the desired objectives. The results show that Michelle applied all the positive judgment tools in her speech to show a positive attitude toward Hillary (i.e., 22% normality, 50% capacity, 9% tenacity, 7% veracity, and 10% propriety). Conversely, Michelle applied negative judgments in her speech (i.e., 12% normality, 12% capacity, and 75% propriety); thus, Michelle did not apply tenacity and veracity while implicitly referring to Donald Trump. Michelle demonstrates that she is a skilled public speaker who can articulate her point of view clearly and persuasively. Her words reveal her thoughts and feelings about the future of her country and the upcoming presidential election. In future studies, other discourse semantic systems should be considered to analyze Michelle Obama&amp;rsquo;s speeches.
Workforce Planning Tool for the consulting industry using LinkedIn data

I developed a Workforce Planning Tool to help a management consulting executive to launch a new service line and plan the organization structure aligned with its growth goal. As rapid change in talent demands in the management consulting industry, the tool aimed to give a simulation of career progressions for emerging professionals whose pattern is not well known in traditional consultants and recommend recruiting plan to maximize future revenue growth. Literature review confirmed applications of stochastic processes to organizations dynamism, e.g., recruiting, promotion and resignation. Additional review found operations research methods to solve human resource assignment problems. In this study, I used LinkedIn user profile from a bench mark firm to imitate a new organization. 502 LinkedIn profiles from Deloitte Digital UK was trained on a Semi-Markov model to forecast future organization structure. Semi-Markov Chain was implemented via msSurv R package to model the transition probabilities between job titles. Finally, a Linear Programming was solved to generate optimized number of additional recruits to maximize revenue growth in five years. It obtained approximately 535% revenue growth with additional 269 recruits for five years planning horizon. The sensitivity analysis revealed that retention of Associate level is critical to make the organization structure grow healthy. The tool also demonstrated the capability to control preferable ratio between staff and managers through solving optimized recruiting plan. With the capability the different recruiting plans were obtained for the typical organization strategies (1) Junior leveraging and (2) Gray Hair model. While demonstrated the usefulness of LinkedIn data as an organization benchmark on Workforce Planning, lessons such as lower sample size, time consuming data collection were left for a future opportunity.
Video Matting, Watermarking and Forensics

The fast growth of social media networks with wide mobile usage causes the sharing of videos more frequently among the users. The wide spread of videos across the networks ends up with various video forgeries such as digital video theft, video adulteration, fake video creation and video tampering. The analysis of video for its originality should be performed in many situations like crime investigation for real-time evidence. For inspecting the video footage, video matting, watermarking and forensics techniques can be applied. Video matting is the task of extracting the foreground objects with alpha matte (opacity estimates) by removing the background video sequences. Digital video watermarking involves the addition of information in the form of a watermark at the background of videos to avoid video thefts. Video forensics is the process of examining the video in a scientific manner, assessing or comparing videos for legal matters. In this proposed work, an improved convolutional neural network based video watermark algorithm along with discrete wavelet transform and singular value decomposition are employed for embedding and extracting the watermarks in video.
Design Get up E-commerce based Marketplace Sale Chips Web Based In Padang City

This web-based e-commerce is designed to help chip manufacturers sell their products and make it easier for consumers to get chips through internet technology. The web design method uses the prototype method starting with conducting needs analysis, interface design and programming and utilizing PHP programming as a programming language, MySQL as a database, XAMPP as a server and the Codeigniter framework version 4. Chips are a food that is much loved by people of all ages. This has caused many people to start a business selling chips, ranging from home industries to larger production. However, not a few of the chip entrepreneurs have difficulty managing the sale of their chip products to chip consumers such as students, workers and the general public. This is also a result of the outbreak of the Covid-19 virus which is experienced globally, including Indonesia, making it difficult for chip manufacturers to market their products and manage their sales. On the chip consumer side, they also find it difficult to get chips amidst pandemic conditions and busy activity. The difficulties of chip manufacturers and chip consumers can be overcome by developing a system in the form of e-commerce that can be accessed by chip consumers by adapting internet technology. The results of this design produce a web-based e-commerce selling chips by taking a case study in the chips business in Padang City, West Sumatra Province.
Enterprise Architecture on Moral-based School Education Information Systems

Indonesia has a diversity of cultures, hospitality, and people who have good ethics. Moral problems often occur and are commonplace, such as corruption, collusion, nepotism, promiscuity and drug abuse, sexual harassment, theft, and murder. The Indonesian nation experienced moral degradation. Moral education refers to the concept of Moral Behavior. Ethical behavior is grouped into three parts: Moral Attitudes, Moral Feelings, and Moral Thoughts. Moral education is very dependent on how to educate parents, association, and the community environment. Moral issues are not enough just to do an analysis of moral education, such as the perspective of religion, philosophy, psychology, and sociology. But also provide solutions so that moral improvement can occur. One of the solutions for improving morale is, of course, by providing education for moral improvement, such as establishing a school with the aim of improving morale. This is what drives the establishment of schools based on moral education, which use the perspectives of religion, philosophy, psychology and sociology. One of the proposals is moral-based education with the help of information technology. Information technology is capable of performing tasks such as controlling the behavior of students, teachers, and being able to control content that is not in line with the educational curriculum. The results of monitoring students can be reported online at any time. This research aims to provide moral improvement solutions by establishing a moral-based school, with the help of Enterprise Architecture as a Framework. This Enterprise Architecture output is an Information Technology Blueprint for system development in schools. The approach used is the Framework from The Open Group Architecture Framework.
Object Oriented Programming of Application Admission of New High School Students

Abstract: This research was conducted at one of the high schools in Palembang. The admission of new students that are carried out still uses on-site registration so that prospective students must go to school to register. The purpose of implementing object oriented in new student admissions applications is to make the application lighter when using it because the objects are divided into classes. Using the application of oop in application development is useful to make it easier to make applications. The built application can be used for dynamic and flexible new student registration media that can register anywhere and anytime. The concept model used in the application is MVC (Model, View, Controller) which makes it easy for the application to handle errors and bugs due to the structure of the program code used. With the implementation of the oop concept in the program, it is hoped that it can help application development and make it easier to detect errors.
Utilization and development of Smart Mosque Applications

Mosque is pointing to a place (building) whose main function is as a place of prostration and worship of Allah SWT. Mosque digitization is one form of mosque adaptation to technological developments towards digital. This of course will be able to improve the service of the mosque to the congregation. However, many mosques have not moved towards digitization. A system for managing data and information, such as: mosque activities, congregational data, financial reports, and so on. Currently, there are quite a lot of user acceptance model theories for an application. One of them is the model of user satisfaction. Data collection is done by using a survey of user satisfaction with the application. The methods used in research in the development and implementation of networks and digitalization in terms of questions and answers to interviews with several mosque DKM administrators by the development team are: at the Nurul Hidayah mosque, Al Ikhlas Pademangan mosque, Attaqwa Grand Mosque, Asy Syam Mosque, Jami Al Manar Mosque, Jami Al-Hidayah Mosque, Baitussalam Mosque (Bogor), and Al-Ikhlas Mosque, all of which are still in the Jakarta area. As well as the results of the questionnaire that was made, there were Questionnaire Results of the System Usability Scale (SUS) Testing for the Smart Masjid application regarding customer satisfaction, which was carried out by survey research through a questionnaire form and interview. The results of the average answer to the questions given are 80% - 85% Answering Agree and Strongly Agree, the rest only partially answered Doubtful and Disagree.
Application of the FP-Growth Method to Determine Drug Sales Patterns

Pharmacies are shops that sell and mix medicines based on doctors’ prescriptions and trade medical goods. Apart from being a business actor, the pharmacy also plays a role in providing health services that are easily accessible to the public. The problem that often occurs in pharmacies selling drugs is that they are less than optimal in service to consumers. The habit of consumers buying more than one type of drug makes pharmacy staff slow in providing the drug due to the inaccurate layout of the drug. The FP-Growth method in Data Mining is a method that can provide a solution in determining drug sales patterns at pharmacies. The FP-Growth method is a method used in determining the data set that occurs most frequently together (Frequent Itemset). The research objective was to determine drug sales patterns based on drug sales transaction data so that drug layouts could be determined. This research was conducted at the Pharmacy at the Pratama Sehati Husada Clinic in Medan with drug sales transaction data from November 2021 to December 2021. The results of applying the FP-Growth method with a value of ≥ 15% as a minimum support and a value of ≥ 15% as a minimum confidence, a pattern of drug sales in pairs. The application of Data Mining with the FP-Growth method has been implemented at the Pharmacy at the Pratama Sehati Husada Clinic with the desired goals with the final result in the form of a report on the results of determining drug sales patterns.
Facial Micro Expression Recognition for Feature Point Tracking using Apex Frames on CASME II Database

Micro-expressions are facial expressions that occur inadvertently to hide true feelings (emotional leaks). Although previous studies used the entire face area and all frames in the video dataset, this resulted in relatively long computation time and data redundancy. The main contribution of this research is to apply recognition micro-expression analysis using a comparison of apex frames with manual (handcrafted) and random sampling of frames and applying feature point tracking to the brow area and corners of the lips. The method for forming feature points in the facial area uses Discriminative Response Map Fitting (DRMF), then facial feature points are tracked using Kanade-Lucas-Tomasi (KLT). This feature point tracking produces motion feature data as feature extraction data. Finally, a comparative analysis of the classification method using the Support Vector Machine (SVM) and MLP-Backpropagation was conducted using the CASME II dataset. The experimental results of this study show significant results with an accuracy of 81.3% on MLP-Backpropagation and an average computing time of 1.45 seconds for each video. From the results of this study, information on the apex phase can contribute information that is very important for facial micro-expression recognition.
Design and Build a Product Sales Application at PT. Prima Fabian Mandiri Web-Based

The focus of this research is to create a product sales application that can help and simplify the process of selling to product delivery, and can provide information about the company and the latest stock and prices at PT. Prima Fabian Mandiri Palembang City. Design/method/approach: The system development method uses the prototype method, while the system modeling uses UML (Unified Modeling Language) in the form of use cases, activity diagrams, sequence diagrams, and class diagrams. The application also conducts testing using black box testing and after that an usability evaluation is carried out using the Use Questionnaire method with a total of 30 respondents. Questionnaires are created and distributed online using google forms. Based on the results of validity and reliability tests calculated using SPSS 25. The results of this study resulted in a product delivery application, and can provide information about the company and the latest stock and prices at PT. Prima Fabian Mandiri Palembang City. The system testing technique used in this study was black box testing, and usability evaluation was carried out using the Use Questionnaire. Based on the results of validity and reliability tests calculated using SPSS 25, all statements are declared valid and reliable so that from the five variables it shows that consumers are satisfied with the usefulness of the PT application. Prima Fabian Mandiri Palembang City. Users of this product sales application are admins, consumers, logistics and company leaders.
Implementation of Recommendation Systems in Determining Learning Strategies Using the Naïve Bayes Classifier Algorithm

Recommendation systems are widely used in various fields of life to provide suggestions for a product, service, or piece of information to someone where there is an object to choose from. The recommendation system can also be applied in the field of education, especially in improving the quality of learning that occurs in schools. In this study, developing and implementing a recommendation system was used to determine the learning strategy applied in class. The system is very necessary in order to obtain effective and efficient learning in accordance with the desired learning style of students. In addition, learning that leads to students' desire to learn can make it easier for teachers to achieve predetermined learning goals. In this study, collaborative filtering techniques based on the Naive Bayes algorithm were used to determine the learning strategy. Before carrying out the recommendation process, datasets will be collected first, which are obtained from student responses through the questionnaires provided. This data will be used as training data to obtain recommendations on learning strategies that will be applied by the teacher in the classroom. After the training data is collected, the teacher will provide a response, and the results obtained will be used as testing data. From the results of implementing a recommendation system that has been built using the Naïve Bayes algorithm, the accuracy obtained is 90.91% in determining learning strategies that are appropriate to student learning styles.
Utilizing Website-Based Speech-to-Text for Query Search

Companies are increasingly using database-based data processing systems to store all information about their goods and products, so searching for queries on the system is one of the routine activities carried out by employees daily. The user must enter the keywords from the desired query in the search feature available on the system using the keyboard to perform the search process. It can only be accessed via a computer connected to the internet. Office However, sometimes there are several factors that make it difficult for employees to type in keywords, such as driving or having physical limitations, especially in the hands. This study aims to present an alternative to entering keywords not only through the keyboard but also by using voice by creating a query search system with the Speech-to-Text method so that users simply say the keywords from the desired data, and the system will be built based on a website so that they can be accessed from other devices such as smartphones, tablets, laptops or other devices. The method used in making this system is the System Development Life Cycle (SDCL) Prototype model and the system design modeling using the Unified Modeling Language (UML). This system will also be hosted on the Heroku platform, and in order to guarantee optimal operation of the system, a black box testing method is used, and the word accuracy test resulting from the Speech-to-Text conversion as well as the processing time required from the start of the system running to displaying the search results. It is hoped that with this system, employees will find it easier to enter keywords from the data they want through various devices quickly and with precise results.
Smart Farming On IoT-Based Aeroponik Systems

The high population growth has an impact on all sectors, one of which has an impact on the agricultural sector as a result of the transfer of agricultural land. This diversion also has an impact on food supplies and ecosystem damage. To deal with these problems, it is necessary to seek the use of technology as a solution in the digitalization era. This research combines aeroponic plants with the help of Internet of Things (IoT) technology.This method has been used by many people to grow plants, especially short-lived vegetable crops such as lettuce, kale, spinach and other types. In planting using this method indoors it really requires special attention compared to planting outdoors. For example, the level of nutrient density, lighting, temperature and humidity in the room. But there are still some farmers or people who don't understand farming with an aeroponic system and how many benefits are felt. By using a smart system, the monitoring and supervision system for plants will get better, so thatfarmer or someone can get the result the more and the better the results by utilizing a piece of land that is not used or on the balcony of the house without having to bother renting other people's land. In order for the expected harvest to be abundant or even more, there are several conditions. Results obtained in this study is by monitoring aeroponic plants produce high quality vegetable crops compared to conventional systems that is.
Recognition of Hand Motion Trajectory Gestures for Novel Input Interfaces

This work addresses an example for dynamic hand signal acknowledgment by utilizing a Kinect V2. The projected plan takes oneself inspired motion (general media stream) as info, separates hand region and processes hand signal highlights, and uses these elements to perceive the motion. We projected free penmanship and our strategy remembers it progressively utilizing the proposed highlight portrayal. This proposed strategy utilizes an efficient fingertip acknowledgment approach and composing with the free hand the utilization of a fingertip. We verify our strategy on Kinect V2. On a dataset gathered from various clients, we accomplish an acknowledgment exactness of 98% for character acknowledgment. We likewise show the way that this framework can be stretched out for word list acknowledgment with solid execution and additionally arranged a dataset containing data frame of the moving video and fetching characters from the database a typical benchmark to manually written character acknowledgment utilizing understanding word and finding better accuracy through machine learning algorithm parameters.
Efficient quantum algorithm for solving structured problems via multistep quantum computation

In classical computation, a problem can be solved in multiple steps where the calculated results of each step can be copied and used repeatedly. However, in quantum computation, it is difficult to realize a similar multistep computation process because the no-cloning theorem forbids making copies of an unknown quantum state perfectly. We find a method based on a quantum resonant transition to protect and reuse an unknown quantum state that encodes the calculated results of an intermediate step without copying it, and present a quantum algorithm that solves a problem via multistep quantum computation. We demonstrate that this algorithm can solve a type of structured search problems efficiently.Received 30 September 2020Revised 21 October 2021Accepted 20 December 2022DOI:https://doi.org/10.1103/PhysRevResearch.5.L012004Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasQuantum algorithmsQuantum Information
Pengaruh Metode Eksperimen (Gejala Alam Banjir) terhadap Kemampuan Berpikir Kritis Anak di TK Aisyiyah Bebekan

Based on the results of field studies carried out through observation activities in learning at Aisyiyah Bebekan Kindergarten, it was found that there was a phenomenon of children's critical thinking abilities that were not optimal when learning in the room watching videos. children can’t focus when learning in the room. The percentage obtained between students who responded and those who responded less during reflection was 10% and 90%. In the observations we have observed, the method used is the experimental quantitative method. Therefore, it can be seen that using this experimental method greatly influences the effectiveness of learning, because it could be that when the video is broadcast, the class situation is less stable, so that the child's focus on learning is not focused on one object, in other words, the child's level of focus is less. The high knowledge of children is caused by the teacher using media in the learning process, namely audio-visual media (video). using non-experimental methods on natural phenomena it is known that the theme of flooding is the inability of children to mention the causes and effects of flooding by 71%.
The Effect of Internet Banking Use and Customer Protection Against Cyber Crime at Bank Rakyat Indonesia

With the very rapid development of technology that helps humans in carrying out their activities, one of them in the banking world has emerged a product in the banking world, namely internet banking. The problem with technological developments is the higher the number of crimes that occur in the internet banking process. This study uses a quantitative research method with a case study of one of Indonesia's national banks, namely Bank BRI specific in BRI KC Majalaya. This study found that the use of internet banking has a significant effect on cybercrime at Bank BRI KC Majalaya and consumer protection has a significant effect on cybercrime.