Reviewerly/exHarmony huggingface dataset:
University graduate career potential in digital transformation period

The student personal and professional development becomes even more meaningful and, based on the peculiarities of the world development in general, becomes one of the most important tasks of modern higher education, the main goal and direction of which is based on humanistic-personal orientation. Building a career is one of the main concerns not only for working professionals, but also for potential employees, including graduates who are on the cusp of entering professional life. The article aims to identify the characteristics of the career potential of university graduates. A questionnaire method was used as a research method allowing effective identifying of the perceptions’ characteristics about a graduate's career potential. The article identifies student opportunities for self-actualization and self-realization in the professional environment in a time of digital transformation of various spheres of life. The authors of the experiment revealed that graduates who showed high levels of readiness for career development have a more formed idea of the desires associated with the development of their career potential, the goals of their activities, and aspire, seek new things, constantly are engaged in self-development.
Interacting Safely with an Unsafe Environment.

We give a presentation of Pure type systems where contexts need not be well-formed and show that this presentation is equivalent to the usual one. The main motivation for this presentation is that, when we extend Pure type systems with computation rules, like in the logical framework Dedukti, we want to declare the constants before the computation rules that are needed to check the well-typedness of their type.
Penerapan Logika Fuzzy Sugeno untuk Menentukan Reward pada Game Edukasi Platformer Berbasis Android

The development of information and communication technology devices makes the teaching and learning process easier and more fun, students are now not only able to learn from books but can also learn from various other media such as games. The use of games in the teaching and learning process will make it easier for students to understand concepts in learning. By applying games in the teaching and learning process, it can increase students' motivation and interest in learning. The purpose of this research is to build a game that is fun and can help students in learning.In this game, Sugeno fuzzy logic is applied which serves to determine the rewards / bonuses that players will get when completing the challenges of each level.
Implementation of Supervised Learning towards Optimizing Queries in Database Systems

Machine learning is a technology which with accumulated data provides better decisions towards future applications. It is also the scientific study of algorithms implemented efficiently to perform a specific task without using explicit instructions. It may also be viewed as a subset of artificial intelligence in which it may be linked with the ability to automatically learn and improve from experience without being explicitly programmed. Its primary intention is to allow the computers learn automatically and produce more accurate results in order to identify profitable opportunities. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes human intervention or assistance and adjust actions accordingly. It may enable analyzing the huge data of information. It may also be linked to algorithm driven study towards improving the performance of the tasks. In such scenario, the techniques can be applied to judge and predict large data sets. The paper concerns the mechanism of supervised learning in the database systems, which would be self driven as well as secure. Also the citation of an organization dealing with student loans has been presented. The paper ends discussion, future direction and conclusion.
Aplikasi Kamus Bahasa Indonesia – Palembang Menggunakan Algoritma Interpolation Search Berbasis Android

A dictionary is a book that has been arranged in alphabetical order, the dictionary that we usually find is complete and good, but lately the use of book dictionaries has become a bit behind because people prefer an easy way to interpret a word, namely using an electronic dictionary. Nowadays, there are many Palembang language dictionary applications based on android, but this application has not changed too much from other similar applications. The author took the initiative to develop this electronic dictionary application so that it looks more attractive and user friendly, this application can later facilitate the communication process between tourists and the people of Palembang City, and can be a place to preserve the Palembang language. In the process of making this mobile application, the author uses an interpolation search algorithm to make it easier to search for sorted data tables or files that have a scalar key. Data collection techniques that will be used by conducting observations, interviews and using the Mobile-D development method. The result of this research is an android-based Indonesian-Palembang and Palembang-Indonesian translator dictionary application.
Mutual Adaptation Technology Of Individual Activity Styles Of Language Teacher And Student

This study follows the idea of humanizing the Russian education system.In the article, the process of individualization of teaching schoolchildren is considered one of the conditions that presuppose the development of students' social experience in the form of knowledge, methods, and experience of educational activities implemented into the function of designing an individually directed learning process.The article reveals the main theoretical provisions, mechanisms, and results of the author's technology approbation.The theoretical significance of the study lies in the fact that the logical substantiation of the style approach in the teacher's professional activity as a mutual adaptation of the individual styles of the teacher's and the student's activity, taking into account the accommodative and assimilative properties.The practical significance of the study lies in the fact that teachers and scienticts can use the developed theoretical provisions and conclusions of this study in the theoretical and praxeological areas of research on the problem of individualization of school education, the practical removal of conflict points in the interaction of the student's and the teacher's individual styles of activity.The formulated general recommendations for the educational process organization, taking into account the differences in the individual styles of teacher and schoolchildren's activity, reveal the pedagogical mechanisms of the student's transition from the cognitive-performing to the cognitive-strategic style of learning a foreign language.The developed technology of mutual adaptation can serve as a conceptual basis for the integral individualization of the process of teaching students a foreign language.
Problematic Student Identification and Visualization in The Counseling Activites

&lt;p class="AbstractL-MAG"&gt;The counseling activities are procedures carried out by academic advisers to identify problematic students, especially in their academic learning process. Students are categorized as problematic when they do not submit their KRS, have a lower GPA than the college standard, have not yet paid their due, or receive warning letters owing to their misconducts. The current system provides every students’ data but academic advisers still need to identify every problematic students’ data one by one. A working solution would be to present the data in a visualization, so the problematic students along with their problem category can be identified automatically. The application employs the UML approach in its planning and web-based application development tools in its implementation. Highchart is implemented in the data visualization. The resulted application boasts the student data management feature to help the problematic student identification process. This feature automatically identifies the problematic students on each term by visualizing it in a colored charts and tables.&lt;/p&gt;
Classification of Mangosteen Surface Quality Based on Image Processing Using Support Vector Machine

Mangosteen is one of the highest export commodities among other fruits in Indonesia. Mangosteen should be free from defects and damages to be accepted as export quality. In most of the mangosteen plantation in Indonesia, sorting of mangosteen is performed manually with human eye. This method is less effective and inaccurate because it depends on workers’ conditions and perceptions. The use of image processing technology for quality inspection has been done for various fruits. However, mangosteen quality inspection in Indonesia has not used image processing technology. The objective of this research is to develop a method using support vector machine to classify defect and non-defect mangosteen surface. The method involved mangosteen surface image capture, pre-processing, defect features extraction using Curvelet transformation and classification using support vector machine. We collected 120 input images using camera from defect and non-defect mangosteens. The proposed method resulted 96.67% of accuracy. It can be concluded that the proposed method has successful classify mangosteen surface.
Manajemen Anestesi pada Pasien dengan Tumor Regio Pineal yang Menjalani Kraniotomi Pengangkatan Tumor dengan Posisi Duduk

Incidence of pineal regio tumor is 0.4-1% of intracranial tumors. Its location which is buried between two cerebral hemispheres, close to brainstem and hypothalamus become a difficult challenge for the neurosurgeon. Surgery with supracerebellar approach in sitting position is the best method to access the lesion. Sitting position also facilitates the optimal visual field with minimal retractions. However, for anesthesiologist, sitting position is challenging since it has its own complexities during positioning the patient and the risk of complications. Venous air embolism is one of the main concern and if not detected early and treated appropriately would leads to cardiovascular collapse instantly. This is a case of a 38-year-old male with chief complaint of severe headache and blurred vision started 4 months before admission. The Magnetic Resonance Imaging showed a pineal region tumor with perifocal edema, without midline deviation. The patient underwent craniotomy tumor removal with sitting position. The procedure lasted for 10 hours and uneventful. The principle of ABCDE neuroanesthesia, sitting position and its implications, and difficult tumor location are some anesthesia considerations for this patient. A thorough preoperative evaluation, good communication and coordination between surgery and anesthesia team are needed for a smooth uneventful procedure performed in sitting position.
Fault dynamic monitoring of intelligent power system telecontrol dispatching based on improved fault tree

Abstract The number of transmission messages is small when the traditional power system monitoring methods collect signals, Therefore, a fault dynamic monitoring method of intelligent power system telecontrol dispatching based on improved fault tree is proposed. The telecontrol communication model of intelligent power system is constructed. The communication signal of telecontrol dispatching channel is collected. The parameter of signal time-domain characteristic is measured. The time-domain waveform can pass through the zero period to get the carrier frequency range, judge whether the system telecontrol dispatching has fault, and analyze the fault mode by improving the graphical logic deduction of fault tree. A comparative experiment is carried out. Compared with the traditional methods, the results show that the design method can improve the number of packet transmission per unit time, increase the network traffic, and ensure that the communication network has very low load in the dynamic monitoring process.
A Theoretical Comprehensive Framework for the Process of Theories Formation

Scientists rely more and more upon computerized data mining and artificial intelligence to analyze data sets and identify association rules, which serve as the basis of evolving theories. This tendency is likely to expand, and computerized intelligence is likely to take a leading role in scientific theorizing. While the ever-advancing technology could be of great benefit, scientists with expertise in many research fields do not necessarily understand thoroughly enough the various assumptions, which underlie different data mining methods and which pose significant limitations on the association rules that could be identified in the first place. There seems to be a need for a comprehensive framework, which should present the various possible technological aids in the context of our neurocognitive process of theorizing and identifying association rules. Such a framework can be hopefully used to understand, identify, and overcome the limitations of the currently fragmented processes of technology-based theorizing and the formation of association rules in any research field. In order to meet this end, we divide theorizing into underlying neurocognitive components, describe their current technological expansions and limitations, and offer a possible comprehensive computational framework for each such component and their combination.
DETEKSI DINI PENYAKIT BALITA MENGGUNAKAN ALGORITMA SORENSEN BERBOBOT

There are still many parents who do not have sufficient understanding in terms of toddler disease. One way to provide education is the availability of a system that can be used for consultation based on the symptoms of illness experienced by toddlers and the actions needed to overcome them. The system that will be built is an expert system that can relatively provide suggestions for solutions to children's health problems using the Case Based Reasoning (CBR) method. namely an expert system that uses case-based reasoning methods, namely looking for similarities of a disease compared to a disease that has existed before. In this study, the CBR method was combined with a weighting process using the pairwise comparison method which was within the scope of the AHP (Analytic Hierarchy Process) method. In comparing consultations with old diseases that already exist in the system, and looking for similarities from the comparison results, the Sorensen similarity algorithm is used. This study resulted in weights with 3 symptom categories, namely mild symptoms with a weight of 0.09, moderate symptoms with a weight of 0.24 and severe symptoms with a weight of 0.67 and will recommend several diseases with a similarity above 0.5 and diseases with a similarity below 0.5 will be entered into the revise table to find a solution.
PENERAPAN DATA MINING PADA PENJUALAN MAKANAN DAN MINUMAN MENGGUNAKAN METODE ALGORITMA NAÏVE BAYES

Changes in human behavior against the times, this causes business actors, especially culinary businesses to innovate so that the business they run continues to survive. With this competence, it causes more problems, one of which is the emergence of startups that eventually become competitors in the business world in all fields. All business owners have an innovation by analyzing food and beverage sales to generate new opportunities which will then be used to identify future opportunities. This affects the income and expenses obtained by companies and restaurants. This research paper generates new knowledge, namely by using the Na Bayve Bayes algorithm to generate an opportunity in the sale of food and beverages based on sales in the previous month. The results of the analysis process will be used for the benefit of restaurants in marketing optimization efforts. This new knowledge will also provide information such as the results of sales opportunities in the following months
STRENGTHENING ISLAMIC LITERATURE IN THE INDONESIAN ENGLISH LANGUAGE TEACHING

The emerging interest in using literature to teach English has not yet highlighted the significance of Islamic literature within Indonesian educational context. This article presents the portrayal of Islamic literature in English language teaching (ELT) study area and offers a possible conceptual model of integrating Islamic literature into ELT. Following a library research method, with the corpus consisting of fourteen stories and one poem derived from fifteen books, the findings of this study show that: most works of Islamic literature are designed for fluent readers; the presentation of Islamic literature is dominated by Middle East and Western writers; and the Western writers are not always sensitive to the symbols glorified by Muslim English learners in Indonesia. As to deal with the above findings, this study proposes a conceptual model consisting of input, process, and output elements. Not only does the proposed model strengthen the position of Islamic literature, but it also integrates the Islamic literature into English language teaching so that it could reach both fluent readers and beginning readers. The output of the proposed model, abridged and unabridged texts of the Islamic literature, can be utilized to teach vocabulary, grammar, the four basic skills of language, and Islamic values.Â
Corporate Social Responsibility and Financial Performance in Hospitality Industry: A Critical Review

This paper aims to investigate the status quo of the research in relation to corporate social responsibility (CSR) and financial performance in hospitality industry.A critical review has been conducted based on 69 good quality journal papers by using both quantitative and qualitative content analysis methods.The results show quantitative method is the main stream of methodology used and US dataset is more preferable.Besides, stakeholder perspective represents the main school of thoughts in recent years.Although majority of the studies have proved positive association between CSR and financial performance, negative relationship is still evidenced by research with samples of loss-making firms.Furthermore, many studies suggest developing conceptual framework or furthering the extant theoretical framework to cope with the rapid changes in CSR fields as well as the diversified CSR behaviour of the public companies in today's business world.The findings of this critical review bring additional insight to the CSR and hospitality academia and can stimulate scholars' further study on how to achieve balance between social and financial performance of public companies in this industry.Theoretically, this critical review enlightens the need for developing/extending the classical theoretical model for matching with the new phenomenon in the CSR field.Practically, the review results also provide valuable information and suggestions to industry operators for their improvement in CSR practice.
FAKTOR-FAKTOR YANG MEMPENGARUHI EFEKTIVITAS PENGELOLAAN KEUANGAN BADAN LAYANAN UMUM PADA UNIVERSITAS BENGKULU

This study aims to examine and obtain empirical evidence about the factors that influence the effectiveness of financial management. This research is motivated by the fact that the financial management of public service agencies that applied at the University of Bengkulu is not effective, because a number of phenomena which appear among others: the mindset (mindset), patterns of attitudes and patterns of management actions in the bureaucracy still long before BLU is rigid (inflexible) and not flexible in financial management, and management tend to be transparent as well as with the process of disbursement and financial reporting has not shown the expected public accountability.The variables to be tested in this study of human resources, the utilization of information technology, systems of internal control and governance of the effectiveness of financial management This research was conducted by giving questionnaires to financial managers University of Bengkulu that have been based on the ease of obtaining the sample. The results of this study are quality human resources and internal control system does not affect the effectiveness of financial management. As for the utilization of research results and governance of information technology or a significant positive impact on the effectiveness of the financial management of public service agencies at the University of Bengkulu
Studi Longitudinal Pada Analisis Data Gula Darah Pasien Diabetes melalui Principal Component Analysis

Multicollinearity is a relationship or correlation between predictor variables. Multicollinearity can also occur in longitudinal data, which is a combination of cross-section data and time-series data. The impact of multicollinearity causes the influence of the predictor variable on the response variable to be insignificant, the least-squares estimator, and the error to be sensitive to changes in the data. Therefore, the procedure to overcome multicollinearity uses the principal component analysis method. This study aims to model PCA longitudinal data regression with a fixed-effect model that is applied to blood sugar data of diabetic patients with a time span of January 2019 to July 2019 at Ibnu Sina Hospital Makassar City. The results of this study indicate that there are two main components formed from PCA longitudinal data regression modelling with a fixed-effect model. Obtained variable values are systolic blood pressure of -0.007, diastolic blood pressure of -0,016, the body temperature of -0.098, and platelets of 0.005 which affect blood sugar in patients with diabetes.
The Composite Covariance of a Kalman Filter Estimation

A Kalman filter estimation of the state of a system is merely a random vector that has a normal, also called Gaussian, distribution. Elementary statistics teaches any Gaussian distribution is completely and uniquely characterized by its mean and covariance (variance if univariate). Such characterization is required for statistical inference problems on a Gaussian random vector. This mean and composite covariance of a Kalman filter estimate of a system state will be derived here. The derived covariance is in recursive form. One must not confuse it with the “error covariance” output of a Kalman filter. Potential applications, including geological ones, of the derivation are described and illustrated with a simple example.