Reviewerly/exHarmony huggingface dataset:
Sistem Pakar Diagnosa Penyakit Tanaman Tomat yang Disebabkan Abu Vulkanik Sinabung Menerapkan Metode Teorema Bayes

Mount Sinabung is an active mountain located in Karo District, North Sumatra. Mount Sinabung is the highest peak in the province of North Sumatra with an altitude of 2451 MDPL. The eruption of Mount Sinabung on the Karo soil made every village exposed to volcanic ash, and not only that, the existing plants in the area became damaged and made farmers fail to harvest. The tomato plants in the area around Mount Sinabung were damaged due to volcanic ash bursts, as a result the tomatoes failed to harvest and suffered losses. From the volcanic ash bursts, the tomatoes were damaged due to volcanic ash. Expert system is a system that uses human knowledge where this knowledge is entered into a computer and then used to solve problems that usually require human expertise or expertise. In probability theory and statistics, the Bayes theorem is a theorem with two different interpretations. In Bayes' interpretation, this theorem states how far the degree of subjective belief should change rationally when there are new clues. The Bayes theorem method is a good method in machine learning based on training data, using conditional probability as its basis.
The System Q

This chapter sets out an axiomatic system in Lq called Q. The axioms of Q are all the formulas of Lq that instantiate the following schemas:
High Performance Low Complexity Multitarget Tracking Filter for a Array of Non-directional Sensors

This paper develops an accurate, efficient filter (called the `TT filter') for tracking multiple targets using a spatially-distributed network of amplitude sensors that estimate distance but not direction. Several innovations are included in the algorithm that increase accuracy and reduce complexity. For initial target acquisition once tracking begins, a constrained Hessian search is used to find the maximum likelihood (ML) target vector, based on the measurement model and a Gaussian approximation of the prior. The Hessian at the ML vector is used to give an initial approximation of the negative log likelihood for the target vector distribution: corrections are applied if the Hessian is not positive definite due to the near-far problem. Further corrections are made by applying a transformation that matches the known non-linearity introduced by distance-only sensors. A set of integration points is constructed using this information, which are used to estimate the mean and moments of the target vector distribution. Results show that the TT filter gives superior accuracy and lower complexity than previous alternatives such as Kalman-based or particle filters.
Sistem Informasi Perpustakaan SMP Negeri 1 Sidoharjo Sragen Berbasis Web

School library is a acility that is useful for strong all kinds of information such as education, knowledge needed and providing information services in the form of library services to students in the school. In the library of SMP Negeri 1 Sidoharjo Sragen, data processing is still using manual performance starting from archiving book data, registering member data, recording borrowed books and returning books. Thus the need for a system that can improve operations in library transaction. Can improved library services. To meet these needs, the effort undertaken by the State Junior High School 1 Sidoharjo Sragen Library is to implement a website-based Library Information System using the waterfall method and system testing using the black-box method. Assessment testing uses the questionnaire method based on the SUS (System Usabillity Scale) attached in 100 respondents in the from of 3 librarians and 97 students who produced 81.28%. This is expected to help facilitate library services at SMP Negeri 1 Sidoharjo.
Automatic Detection of Scanned Page Orientation

With the increasing demand to scan text documents and old books, having a scanner that could automatically detect the orientations of the scanned pages would be greatly beneficial. This paper proposes a fast method to detect orientations based on a support vector machine (SVM), using features developed for each connected component on the scanned page. Results show that the algorithm can achieve an accuracy of 99.2% in orientation detection and 98.2% in script detection for pages scanned at 200 dpi.
Catch-Up Effects and Diminishing Returns in Multi-Level Innovation Trajectories: Evidence From Chinese Industries

The marginal effects of firms’ strategic deployment stem from the environments they encounter and are specifically derived from environmental elements such as economic, political, and geographic conditions. The significance of such impacts varies because they usually depend on the firm’s growth stage and competitive landscapes that firms confront in the market. This difference provides latecomers with opportunities to catch up with their predecessors within a market. Namely, the convergence phenomenon may arise among firms that develop and compete in the same fields. To explain the heterogeneity in capturing commercial benefits across individuals or groups, previous research primarily focused on convergence in economics. However, there remains a lack of adequate analysis on how this convergence – especially the catch-up effect and diminishing returns – appears in specific strategic activities, such as the innovation process. To fill this gap, we leveraged longitudinal data from Chinese enterprises specializing in artificial intelligence, novel materials, manufacturing, and medical industries to conduct our empirical research. A multi-level structure – that comprised the firm, industry, market, regional, and national levels – was introduced into our model to further explain the convergence in firms’ innovation processes. We also discussed endogeneity and exogeneity problems in the predictors of innovation convergence. The results support our hypotheses and reveal the practical implications of our study.
Fuzzy Inference System in Determining Nutritional Status of Toddlers

The nutrition monitoring of toddlers is one of the government programs that are formulated in the Constitution 45. Therefore through the Ministry of Health of the Republic of Indonesia monitoring every periodic always start Posyandu, Puskesmas until the hospital always facilitate the condition. Posyandu Mawar 3, which is one of the Posyandu in Sukabumi district, is a problem where enough high toddlers belong to the skinny and very skinny category. This condition is certainly the concern of the government especially West Java. The method used in this study was the Fuzzy Inference System Mamdani because it was assessed to have advantages over existing methods capable of controlling the balance between inputs with output through easy-to-understand mathematical calculations, Intuitive, flexible, and in accordance with the human input process. This research contributes to the government's ability, especially Posyandu management in the process of implementing activities more efficiently, facilitating Posyandu cadres in the processing of toddler development data, the data produced will be more accurate, as well as Loss of data because it has been computerized. The results of this study can determine the nutritional condition of the toddler in a balanced between the input data of the age, weight and height and the output of the nutritional status of toddlers with a center point of the Crips around-0.81. The Web-based application generates test results with the Software Quality Assurance method with a value of 80.78. This means the application included in the category meets the good standards.
Sekali Duduk Bisa Menulis Huruf Rejang, dengan Teknik Akrostik

The Rejang letter is often called the KA GA NGA letter, which is the first three letters of the main alphabet. As a letter that should be a matter of pride, of course we must preserve the cultural wealth of our ancestors. This is stated in the 1945 Constitution of the Republic of Indonesia Article 32 paragraph (1) and paragraph (2). Various efforts have been made by the Local Government of Lebong Regency to preserve Rejang Letter, starting from holding seminars by inviting experts and community leaders. Even making Rejang letters a local content in schools, but this has not been able to ground Rejang letters in the Rejang Society, especially reaching millennials as the nation's next generation in Lebong Regency. This is because the right and practical learning techniques have not been found and the reasons why we need to learn the KA GA NGA writing. The study used a qualitative approach with the researcher as a research instrument. The results of this research can be concluded that the acrostic technique allows us to write Rejang letters in the form of sentences quickly.
Shakespeare like Text Generation using LSTM and Tensorflow

This paper aims to helps us understand how to generate Shakespeare like text generation using LSTM and Tensorflow. Our main objective is to learn about Automatic text generation using LSTM and Tensorflow. Automatic text generation is that the text generation of tongue texts by computer. In this project, we are getting to generate words from a given set of input words. We are getting to train the LSTM model using William Shakespeare’s writings.
KEMAMPUAN MENULIS TEKS ARGUMENTASI PADA SISWA KELAS XI SMA PERSADA BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The problems discussed in this thesis relate to the ability to write text arguments carried out by class XI students of Persada Bandar Lampung High School. Aspects assessed include the suitability of the title with the content, use and writing of spelling, choice of words or diction, sentence structure, overall content. The purpose of the study was to determine the ability of students to write text arguments, find out the obstacles experienced and know and describe the solution. This research uses quantitative methods. The study population was 20 students as well as research samples. Data collection uses assignments to write text arguments and analyzed by quantitative analysis. The results showed that students' ability to write argument texts with an average score of 67 was sufficient. In the aspect of the suitability of the title with the contents of the ability of students showed an average score of 77 in the good category, while the aspects of use and spelling writing reached an average score of 53 in the less category. In the aspect of word choice or diction, student scores reached 65 in sufficient categories, while on aspects of the use of sentence structure, the average score of students reached 65 in sufficient categories and on the overall content aspect, the average score of students reached 77 in the good category. Constraints experienced by students are not accustomed to writing activities, insights that are lacking in writing texts, weak mastery of Indonesian spelling, are less able to focus on the themes discussed, and lack of vocabulary. The solution, a lot of practice writing texts independently, reading activities in the library, designing text frameworks, and to enrich vocabulary should read a lot of KBBI, articles, and other texts.
Sistem Pakar Diagnosa Penyakit Henoch-Schonlein Purpura (HSP) Menggunakan Metode ANFIS

Technology that is developing in the world is also developed by a technology that is able to deal with the process and way of thinking of humans. Everyone who is specific uses an expert system. In this case, it is a health problem regarding the disease Henoch-Henochein purpura (HSP) Henoch Henochein purpura is an inflammatory disease hymen on the skin, intestinal joints and kidneys that can cause red or purple spaces on the skin. This space is usually found in the lower limbs or bongko, and the number is usually concurrent or large. An expert system can be interpreted as a system that adopts human knowledge into a computer, so that the computer can solve problems as is done by experts, so that the expert system can help experts in solving a problem. The benefits the writer wants to achieve in this study is to help make the expert become younger. To diagnose the disease caused by Henoch Henochein purpura and give contribution to the development of information technology, especially expert systems using the Adptive Neuro Fizzy inference system method.
Deep Loving - The Friend of Deep Learning

Intelligence and Learning are good fields of research. Recently, the brother of Intelligence titled Artificial Satisfaction was introduced in literature [10]. In this article, we coin the term “Deep Loving”. After the publication of this article, Deep will be considered as the friend of Learning. Proposing a new field is different from proposing a new algorithm. In this paper, we strongly focus on defining and introducing Deep Loving Field to Research Scientists across the globe. The future of the Deep field is predicted by showing few future opportunities in this new field. The definition of Learning is shown followed by a literature review of the Deep field. The World's First Loving Algorithm (WFDLA) is designed and implemented in this work by adding Loving concepts to Particle Swarm Optimization Algorithm. Results obtained by WFDLA are compared with the PSO algorithm.
Internet of Things architecture challenges: A systematic review

The Internet of Things (IoT) is a rapidly growing trend within many domains,such as automotive, avionics, automation, energy, and health. IoT architectureis the system of numerous elements, includ
An Offline Corpus for Legal Translations into Italian: a Case Study with a Land Lease Agreement

Offline corpora are claimed to be helpful in technical translations. This paper explores whether a corpus of Italian land lease agreement samples and the civil code can be supportive in legal translations. To this end, three experienced translators were involved in a trial lesson and assigned to translate a land lease agreement from English (L2) into Italian (L1). They participated in a webinar where they became acquainted with corpus compilation and analysis. During the training, they clarified linguistic doubts, had the possibility to verify attested usage of words, and they could identify collocational preferences as well as word frequencies. Thanks to the corpus analysis, the translators could improve the quality of their translation work and learn new terminology. The only drawback of using an offline corpus was perceived as lying in its time-consuming compilation and in the fact that in order to be representative, a corpus must be composed of a certain amount of reliable documents.
IKPCA-ELM-based Intrusion Detection Method

An IKPCA-ELM-based intrusion detection method is developed to address the problem of the low accuracy and slow speed of intrusion detection caused by redundancies and high dimensions of data in the network. First, in order to reduce the effects of uneven sample distribution and sample attribute differences on the extraction of KPCA features, the sample attribute mean and mean square error are introduced into the Gaussian radial basis function and polynomial kernel function respectively, and the two improved kernel functions are combined to construct a hybrid kernel function. Second, an improved particle swarm optimization (IPSO) algorithm is proposed to determine the optimal hybrid kernel function for improved kernel principal component analysis (IKPCA). Finally, IKPCA is conducted to complete feature extraction, and an extreme learning machine (ELM) is applied to classify common attack type detection. The experimental results demonstrate the effectiveness of the constructed hybrid kernel function. Compared with other intrusion detection methods, IKPCA-ELM not only ensures high accuracy rates, but also reduces the detection time and false alarm rate, especially reducing the false alarm rate of small sample attacks.
Effect of Economic and Legal Corporate social Responsibility on Firm’s Competitive Advantage among Selected Banks in Nairobi County, Kenya

Globalization and stiff competition among industry players has resulted in a remarkable change in the way businesses run and operate, with the quest for excellence and all-round growth key objective of firms. Corporate Social Responsibility (CSR) has emerged as a view that can add to competitive advantage of a firm and suggests that corporate decision –making must take care of a range of social and environmental affairs in order to maximize long-term financial returns. To survive in the industries, firms are always trying to create competitive advantage. However, banks today are facing a myriad of challenges such as high employee turnover, technology change, and bad reputation among others that have threatened their competitive positions. The main purpose of this study was to investigate the effect of corporate social responsibility on firm Competitive Advantage among selected banks in Kenya. The objectives that this study focused on were; to establish the effect of economic and legal responsibility on organizational competitive advantage. The study was informed by stakeholders Theory by Freeman (1984). Explanatory Research Design was adopted in the study. The target population was 848 employees withdrawn from 25 banks within Nairobi city center. Simple random sampling was used to select a sample size of 183 employees. Questionnaire was a tool for data collection. Factor analysis was used to test content validity. The study used correlation, descriptive and inferential statistics. The study adopted multiple regression analysis to analyze data. The major findings from this study revealed that economic responsibility and legal responsibility and have positive relationship to firm competitive advantage. The findings from this study may benefit scholars and futures researchers who may use the findings to find out suggested areas to be researched on or make a comparative study. The investors may also use the findings to ascertain the ideal corporate social responsibility models viable to be considered when investing various projects bank and enable them evaluate the capital appraisal and avoid being distorted by unviable projects. Keywords: Competitive Advantage, firm, banks, economic and legal responsibility
Категориально-системное мышление как инструмент реинжиниринга интеллектуальной деятельности (ответ на вызов современной когнитивной ситуации). Рецензия на книгу: Боуш Г.Д., Разумов В.И. Методология научного исследования (в кандидатских и докторских диссертациях): Учебник. М.: ИНФРА-М, 2020

The textbook by G. D. Boush and V. I. Razumov “The methodology of scientific research (in candidate and doctoral dissertations)” fills in the lack of fundamental and systematized works on the methodology of scientific research. The authors consistently and deeply expound the logic and procedure of preparing scientific research, reveal the heuristic potential of significant methodological approaches, technologies and scientific methods. Particular attention is paid to thecategorical-system methodology, which allows to analyze the object at the essential level and achieve holistic, consistent knowledge. The textbook should be recommended to anyone who is interested in developing their own cognitive potential, logic and methodology of thinking, understood as a tool for reengineering intellectual activity.
THE INFLUENCE OF THE FAMILY ENVIRONMENT, SCHOOL ENVIRONMENT AND PEERS AS TO LEARNING DIFFICULTIES

Of course, we often hear about learning difficulties and maybe we have experienced during our education. The purpose of this study was to determine whether there is an influence of the family environment, school environment and peers on learning difficulties. The population in this sample is students totaling 100 respondents. This study uses a quantitative approach using a questionnaire distributed online via Google Forms and analyzed using SPSS 22.0 software.
THE EFFECTIVENESS OF ONLINE LEARNING IN LANGUAGE TEACHING AT ENGLISH EDUCATION DEPARTMENT OF THE PARAHIKMA INSTITUTE OF INDONESIA DURING COVID-19 PANDEMIC

This study aims to determine the effectiveness of online learning during the COVID-19 pandemic in English Education Department student at Parahikma Institute of Indonesia, academic year 2020. This research was conducted using the explanatory sequential mixed method which involved nineteen students and five lecturers. The data was collected using two instruments, namely online questionnaires and in-depth interviews which were analyzed quantitatively and qualitatively. The results showed that the effectiveness of online learning in the English language education department still needs to be improved through lecturer training such as how to present creative material to students, and how to solve student problems that are constrained by networks. In addition, this study also reveals several factors that affect the effectiveness of online learning (1) lack of student participation in class, (2) lack of understanding of material that is not delivered directly, and (3) the importance of building communication in class activeness between lecturers and students. Moreover, the finding of this research also indicates that classroom agreement can affect students in participating in the class. In addition, further researchers are expected to focus on finding the obstacles faced by students and teachers during online learning.
Features of socio-cultural mission of higher education in the period digital transformation of society

The article claims as an object of research a variety and a multi-faceted character of a definition "a sociocultural mission of the higher education", which has its value and standard structure with the social positions corresponding to it. The research objective is as follows: to identify a special role of the socio-cultural mission of the higher education as a prevailing one and being implemented through acceptance of values in the course of socio-cultural interaction of all actors of education. The methodology of the research is the principle of social orientation of the higher education formulated and revealed by the author. This principle provides inter-conditionality and mutual enrichment of social and communicative interaction, on the one hand, enlarging its opportunities due to inclusion of external actors in the educational environment, on the other hand, due to enrichment and development of society through reproduction of socio-cultural values by people of a new formation and creative modern way of thinking among youth. The principle of social orientation of the higher education redefines creating of a social capital of the educational organization, promoting transfer and reproduction of knowledge, the culture and values of society in a format: human – knowledge - society. The main result of a research is to determine the features of a socio-cultural mission of the higher education in the period of society’s digital transformation influencing ways of transfer and use of information providing formation of new type of social interaction called "network society". The results of a research can be used in the organization of educational and extra- curricular activity in higher education institution, study guides and lecture courses for teachers, in the organization of youth socially oriented activities.