Reviewerly/exHarmony huggingface dataset:
Chatbot for Career Counselling

A chatbot is a computer application that is developed to prevaricate and process conversation between humans and digital devices offering the users an experience as if they are communicating with a person in real life instead of a digital device. With today’s customers expecting immediacy and actualization in their interactions with devices, the addition of chatbots as a communication channel has become critical to growing demand. This paper presents the design of an expert system for educational guidance for students available after SSC &amp; HSC. This project is aimed to implement a web-based chatbot using Rasa NLU and machine learning algorithms that analyze user’s queries and understand the user's messages. The bot is designed to address the queries of the user related to the courses they should opt for and colleges that offer the course. The user just has to query through the bot and based on the inputs taken from the user the chatbot will accordingly predict a suitable course for the user. The system responds by showcasing the predicted course for the user. The user can access the bot without any pre-registration.
Analisis Tingkat Pengetahuan Masyarakat Dalam Penanggulangan Dampak Kesehatan Akibat Bencana Banjir di Desa Pone Kecamatan Limboto Barat Kabupaten Gorontalo

Disasters are events that threaten people's lives that can occur anytime and anywhere, which can be caused by natural factors or non-natural factors (human factors) that they can cause environmental damage, loss of property, psychological impacts and even fatalities. types of disasters include flood. The purpose of this study was to determine the level of community knowledge in dealing with health impacts due to flooding in Pone Village, Limboto Barat District. This research applied quantitative descriptive which aims to describe the variables in the study. The samples are 60 people with purposive sampling technique. The results showed that the level of community knowledge in dealing with health impacts due to flooding was included in the lack category are 22 respondents and included in the level of knowledge in good category as many as 38 respondents. In conclusion, Public knowledge in flood disaster management is still categorized as low.
The Relationship Between Financial Development, Inflation and Economic Growth: The Case of MINT Countries

Along with the integration of money and capital markets, macroeconomic variables such as growth and inflation, which are among the indicators of macroeconomic stability, are also among the determinants of financial development in developed and developing countries. The relationship between financial development and growth is mostly explained by the process of transferring savings to investments in the literature. In endogenous growth theories, financial development is taken as an indicator of growth.
CAD System for Liver Diseases using Histological and Imaging features

The current work for characterization of liver disease has been carried out using histological and imaging data. The BUPA liver disorders dataset created by University of California, Irvine has been considered as histological data. The ultrasound images of hepatocellular carcinoma (HCC) and Hemangioma (HEM) lesions were taken from ultrasoundcases.info. Laws ‘texture features were extracted from these images using Laws’ masks of length 3. In CAD system design 1, histological classification of liver diseases has been carried out using SVM classifier. In CAD system design 2, liver disease classification has been carried out using imaging features.
The Effect of Locus of Control on Learning Achievement during the Covid-19 Pandemic

Learning during the Covid-19 pandemic is a challenge for students and has an impact on learning achievement. This study aimed to determine the effect of locus of control on learning achievement during the covid-19 pandemic. This research was conducted at one state junior high school, Soppeng Riaja, South Sulawesi by using a quantitative approach. Data were obtained by using a questionnaire and documents of learning achievement data in the form of report cards. The collected data were then analyzed using descriptive statistics and inferential statistics. Descriptive statistical data analysis showed that the average score of student learning achievement was in the moderate achievement category, meaning that during the COVID-19 pandemic, students’ learning abilities did not significantly decrease in achievement. Therefore, it was considered that students could still learn properly even though it was done online. Furthermore, the results of the analysis of the inferential data indicated that the locus of control had a positive effect on the learning achievement of students. Thus, it can be concluded that the locus of control of students while studying during the Covid-19 pandemic was quite good and had a positive influence on the progress of learning achievement.
CAML Statement on Laurentian University / Déclaration de l'ACBM sur l'Université Laurentienne

CAML Review is published three times per year. It is concerned with music and music materials and strives to promote a better understanding of the cultural importance of music libraries, archives and documentation centres locally, regionally and nationally.
Ensembles de sistemas de classificação fuzzy intervalares: o papel dos índices de overlap com tomada de decisão baseada em funções de penalidade

Fuzzy modeling is frequently used to deal with the problems involving approximate reasoning, such as classification problems. However, fuzzy membership functions defined in terms of real functions sometimes can not reflect the uncertainty of the domain specialists. Also, when considering the use of fuzzy quantities, we are executing operations through sets defined by real numbers. In this case, the propagation of errors can become important and affect the end result. This problem finds its solution within the concept of interval-valued fuzzy sets. This paper presents a fuzzy reasoning mechanism to be used in interval-valued fuzzy rule based classification systems (IVFRBCSs). For that, we consider different interval-valued overlap indices, constructed using interval-valued overlap functions, developing confidence and support measures, which are generally used to evaluate the degree of certainty or interest of a given association rule. By considering several interval-valued overlap indices, we obtain an ensemble of IVFRBCS. Then penalty functions are used as a consensus method for the decision-making related to the selection of the best class.
DEVELOPING AUTHENTIC E-LEARNING LISTENING MATERIALS OF NARRATIVE TEXT BASED ON LOCAL FOLKLORE FOR THE TENTH GRADE STUDENTS

The objective of this study was to develop authentic E-learning listening materials of narrative text based on local folklore for the tenth-grade students in SMA Plus Sedayu Nusantara. This study was conducted by using Research and Development design through six stages; gathering data and information, need analysis, materials development, validating by experts, revising, and final product. The subject of the study was the tenth-grade students in SMA Plus Sedayu Nusantara. The data were gathered by reviewing documents, conducting an interview with the English teacher, and distributing the students' needs analysis questionnaires to X MIA 4 consists of 27 students to get the students’ needs. The interview and questionnaire results proved that the students needed authentic E-learning listening materials based on local folklore. The developed reading materials were validated by two experts which scored 3.52 and 4.79 on average. The scores approved that the authentic E-learning listening materials based on local folklore were valid and very valid to use for the tenth-grade students in SMA Plus Sedayu Nusantara. The result of the product was distributed to the students through Blog.Key words: Development, E-learning, Listening Materials, Authentic Materials, Local Folklore, Blog.
The Using of Javanese Language as a Hate Speech in Sosial Media

Javanese is not only used as the mother tongue or social language among Javanese users, but also used through the realm of social media.Hate speech is one of the bad effects of using Javanese on social media.The use of hate speech in Javanese includes vocabularies related to humans.It makes users to deal with the law.The analysis of the language use related with legal cases is the forensic linguistic study.Descriptive analysis method is used in this article to describe the meaning of Javanese vocabularies based on context and references.Based on the analysis, the Javanese related to humans in social media is the swear and denotative words which refer to the rough connotation due to the morphological process.The clitic -mu becomes the most common modifier of denotative words into rough connotation of Javanese vocabularies related to humans.
Eliminating Language Barriers in Public Health Communication via Machine-Aided Translation (MAT) and Sociolinguistic Analysis

COVID 19 has continued to evolve and become very dangerous to public health. The Philippine government was consistent in making efforts to remind the people about virus control using various forms of media and communication platforms. English was used in delivering messages which were generally foreign to some Filipino people. This research paper has attempted to translate pervasive words via Machine-aided Translation (MAT) and linguistically analyzed in terms of the relationship between language structure and use. Conceptualization of meanings in the fields of diglossia, phonology, morphology, and orthography involving two languages (English and Filipino) were used in different conditions. The phenomenological research design was utilized to generate essential data through online interviews and review of multimedia and non-formal narratives. Purposive sampling procedure was employed in the selection of respondents and words were identified based on the frequency of use in a day-to-day communication. Results suggest that the use of English in delivering messages has prevented individuals to perceive the meaning of pervasive words and being unable to interact and collaborate with others. Translation techniques and sociolinguistic analysis have eliminated language barriers and provided clear transmission lines in public health communication.
Pattern Recognition of Batik Madura Using Backpropagation Algorithm

Since October 2, 2009, UNESCO has acknowledged batik as one of Indonesia's intellectual properties.Throughout the archipelago, distinct and diverse batik motifs have emerged and been produced with the passage of time; Madura batik is one of them.The Backpropagation Algorithm is used to recognize Madura Batik Patterns in this research.Bunga Satompok, Manuk Poter, Pecah Beling, Rumput Laut, and Sekar Jagat are the motifs used in this study.To begin, resize the image to 200 × 200 pixels and convert it to a grayscale image.The Gray Level Co-occurrence Matrix (GLCM) approach is used to extract image features, and the Backpropagation Algorithm is used to recognize them.With GLCM, the angle orientations utilized in the feature extraction process are 0, 45, 90, and 135 degrees.There are 1, 3, and 5 hidden layers used throughout the training process, with hidden neurons in each layer of 8, 16, and 32.The highest accuracy is achieved when five hidden layers with 32 hidden neurons and one hidden layer with 32 hidden neurons in each layer are used in the testing process, which is 98 percent.
Some Features of Professional Development of Law Enforcement Investigators

Introduction: in the scientific and methodological literature, a significant number of publications deal with the professional training of various specialists. Most of the works of this kind pay attention to the continuous improvement of the skills of teaching staff. However, there is an acute shortage of the works that reveal the problems of training and growth of specialists in other areas, including the formation and improvement of the official qualities of law enforcement officers. To date, the specialized higher education institutions have been established and are functioning in all the law enforcement agencies, and the professional development programs are successfully operating. However, the experience of organizing activities for the formation and development of the professional qualities of the investigative workers should be generalized, systematized and serve as a basis for further improvement of activities in this direction. Purpose: to generalize and systematize the experience of organizing the professional development of the investigative law enforcement officers, to highlight the features of this process. Methods: during the research, various methods of scientific knowledge were used, including a systematic approach to the study subject, as well as the method of modeling and comparative legal analysis. Results: the paper attempts to identify the features of the process of formation of the personality of a young investigator, the formation and development of the professional qualities of a specialist at various stages, as well as the directions for improving his knowledge, skills and abilities using the specific methods and training tools. Conclusions: summing up the research, the authors come to the conclusion that the system of professional development of the investigative law enforcement officers in its organization should take into account the peculiarities of the formation and development of the professional qualities of specialists in this field, as well as the specifics of the training process, be carried out on an ongoing basis, use the modern tools and methods, as well as the educational technologies.
A Modified Least Significant Bit Replacement: Steganography Method for Handling Random Noise Effect

Steganography is one of the security measures employed at file level to cover information in a carrier. The goal of steganography is to send a confidential message over a network in a way that intruders will not notice it. In steganography, the message is wrapped in an innocent carrier such as image, audio or video file. There are always bits tempering in the process and this changes the looks and appearance of the carrier. The more secret message is embedded in any cover file, the more random noise occurs. Secret message bits when embedded drastically modify the Red Green and Blue (RGB) components’ bits of the carrier, hence, the statistical properties and physical appearance of the carrier change and this draws the attention of intruders to suspect that confidential data is hidden there. This research introduced an improved method of least significant bit replacement to cover secret data using 24 bits bitmap image to handle random noise efficiently so that the Human Visual System (HVS) of intruders will not notice the secret communication. The research reviewed some previous related researches that aimed to reduce the effect of random noise and research gap is identified. The research implemented the new Modified Least Significant Bit Replacement (M-LSBR) method to fill the identified research gap. Five (5) experiments were conducted with 5 (five) varying dimension RGB images and the result gathered that the PSNR value, image quality and message capacity of the new method is better than those achieved by the previous methods, hence, the research gap is filled. Finally, conclusion was drawn and recommendation for future research was suggested.
Ambulance Operational Services Information System At The Jakarta Department Of Health

Information regarding monitoring of operational expenditures of the Regional Public Service Agency at the Emergency Ambulance Service Unit of the DKI Jakarta Health Office. Because the finances issued or used must be accurately informed. In this case, monitoring the operational expenses of the Regional Public Service Agency at the Emergency Ambulance Service Unit of the DKI Jakarta Health Service still has many obstacles. Constraints faced are such as the technical executor. The activity of submitting an accountability letter still has a long stage, the Verifier is not there so that the process of checking the accountability letter stops, the input of reports is carried out one by one by the Spending Treasurer using Microsoft Excel. The process of monitoring the operational expenses of the Regional Public Service Agency at the Emergency Ambulance Service Unit of the DKI Jakarta Health Office takes a long time. And another obstacle is the occurrence of classifying the type of operational expenditure. In this data analysis method, using Balanced Scorecard (BSC) analysis, system design uses Visual Paradigm to create UML (Unified Modeling Language), PHP programming language, MySQL to create databases. The result of this research is that an information system for monitoring operational expenditures of the Regional Public Service Agency can create and submit a letter of accountability and verification letters are carried out computerized, the Expenditure Treasurer no longer enters the general cash books one by one, the Expenditure Treasurer no longer classifies the types of operational expenditure in recap operational expenditure.
Implementation Of Online High School Online Acceptance Of New Students Policy At The Education Office Of North Sumatra Province

Implementation of the policy of New Student Acceptance (PPDB) Online is a process of implementing well-formulated education policy. Online PPDB Policy is used as a basis for implementing new student acceptance system by online. to assess the success of the implementation of PPDB Online policy can be seen from 2 major variables namely policy content and policy implementation environment. This objective is to find out how the implementation of the policy of acceptance of new learners (PPDB) Online and see the problems that arise when implementing the policies implemented by the Education Office of North Sumatra province.The research method used in this study is a qualitative approach in which the study was a descriptive study is to determine or describe the reality of events. Data collection techniques are Interviews, Observations, and documents related to the research. Data analysis techniques in this study were conducted qualitatively. This study uses nine policy implementation variables from Merilee S Grindle covering the interests of the target group, Type of benefits received, Degree of change, Location of decision making, Program implementers, Resources, power, interests, and strategies, Institutional characteristics, Compliance level .From the research, it can be concluded that the implementation of the policy of new student enrollment (PPDB) at the middle school level has been running well in terms of the content of the policy, the benefits received, the expected changes, the location of the decision and the Characteristics of Institutions and Regimes, The Power, Interest, And Strategy Of The Actors Involved. However, in terms of policy implementers, resources and compliance levels have not gone well. It is inhibiting the success of the implementation of the policy of new students (PPDB) Online.
Aesthetics of Semar Figure in Ki Sukasman's Wayang Ukur

Wayang is one of the innovations in wayang.Ki Sukasman creates a new wayang creation which is a new theory in the field of Indonesian wayang art.Ki Sukasman conducted several experiments to find the perfection of form in the wayangukur.This article aims to examine the aesthetics of the Semar figure in Ki Sukasman's wayangukur.This study uses an aesthetic approach with a qualitative method.The results obtained are the aesthetics of the shape of the shadow puppets are very different from the wayang kulit in general.Semar in Ki Sukasman's wayang measuring refers to the anatomy of the human body which is depicted in real terms.
Cohesive Devices Analysis In Abstract Journal Of Premise Volume 6 Number 2 In 2017

The aims of this research are to explain how reference and reiteration distribute to the text, and also to know the numbers of occurrences and percentages of reference and reiteration found in the text. The subject of this research is 10 Abstracts of PREMISE Journal of English Education Volume 6 Number 2 of Teacher Training and Education Faculty of Muhammadiyah University of Metro summit on October 2017 in Metro, Lampung. The object of this research is components of grammatical and lexical cohesion in reference and reiteration which are developed by Halliday and Hasan. This research is qualitative research. The result shows that almost all elements of the cohesion available in the abstracts. The total number of cohesion in the abstract is 318; consist of 254 reference types and 64 reiteration types. The percentages from each type are 9.8% personal reference, 63.8% demonstrative reference, and 6.3% comparative reference in reference types. Besides that, there are 17.3% repetition, 2.2% synonymy, 0% metonymy, and 0.3% for hyponymy and antonymy in reiteration types. The researcher concluded that the highest cohesive device in the text is a demonstrative reference. The use of cohesive devices found in abstracts is to connect one sentence to another.
QUANTUM COMPUTING

The quantum computer, is a "supercomputer" that relies on the phenomena of quantum mechanics to perform operations on data. Object of suppositions, sometimes farfetched, quantum mechanics gave birth to the quantum computer, a machine capable of processing data tens of millions of times faster than a conventional computer. A quantum computer doesn't use the same memory as a conventional computer. Rather than a sequence of 0 and 1, it works with qubits or quantum bits. The quantum computer is a combination of two major scientific fields: quantum mechanics and computer science. Quantum mechanics, on which this computer is based, governs the movement of bodies in the atomic, molecular and corpuscular domains, is a theory whose logic is totally contrary to intuition and it is essential to use mathematics to fully grasp it. Quantum computing is the sub-domain of computer science that deals with quantum computers using quantum mechanical phenomena, as opposed to those of electricity exclusively, for so-called "classical" computing. The quantum phenomena used are quantum entanglement and superposition. The article examines some aspects related to the development, operation, advantages and difficulties, applications and future of the quantum computer.
Protective pants design for skaters to be analyzed by divergent and convergent thinking concepts

Extreme sports are sports that have challenges that must be faced with a high level of difficulty with a greater risk of accidents than sports in general.Skateboard is one of the extreme sports groups that are currently developing among teenagers.Skateboarding actually has the risk of fatal injuries to the limbs for skaters.They must give up their bodies which often fall during each exercise.Departing from this phenomenon, this study is interested in designing the design of user safety when skateboarding by combining apparel products with existing protectors to overcome minor injuries due to collisions while skateboarding to make it more practical and easier to use.This research conducted a case study method and analyzed by Divergent (analyzed Divergent) and Convergent Thinking Concepts, thus the design is delivered using the SCAMPER design method.The product designed (design) contains a safety function in the knees that assists the skateboarding activity and is applicable to the trends of the skater lifestyle.