Reviewerly/exHarmony huggingface dataset:
Perancangan Aplikasi Pencarian Makna Motif Batik Menggunakan Metode Galil Seiferas

For some people batik is only a cloth that is a characteristic of Indonesia, especially the area of Java, but not everyone knows that every motif on batik cloth has its own philosophical meaning where each meaning is closely related to human life. As the people of Indonesia it helps us to know the meaning behind the beauty of batik motifs, but not everyone knows the name of batik motifs and can search for meaning on the internet or what we often call browsing. The solution that can be done is to create an Android-based batik meaning search system that can provide convenience in searching for the meaning of batik motifs. Search is designed in an application that helps word search using string matching, the Galil Seiferas search algorithm. With the implementation of Seiferas Galil Algorithm on the Android-based batik meaning search system, it is expected to be able to carry out the right search process in displaying the meaning of batik motifs as well as being easier and faster. The system built is also very practical because it is based on Android, so it can make it easier for users to access anywhere
A Criminological Examination Of The Use Of Cyberspace To Traffic Drugs In Durban South Africa

This study focused on the use of cyberspace to traffic drugs in Durban, South Africa. The study seeks to determine how cyberspace is used as a tool to traffic drugs in Durban, South Africa; to investigate the current South African laws as deterrence to combat drug trafficking via cyberspace. The studyused the qualitative research method. The data was collected from a sample consisting of eight respondents using the purposive sampling technique. The researchers collected data using semi-structured interviews and the collected data was analyzed through thematic content analysis. The findings depicted that cyberspace is used as a tool to traffic drugs in Durban by providing cyberspace users with the platform to engage in unlimited and secure communication. The use of Virtual Private Networks and The Onion Ring makes it exceptionally difficult to trace cybercriminals. Recommendation: There is a need for more awareness around cybercrime and, more particularly, drug trafficking via cyberspace. More law enforcement officers should be provided with training regarding cyberspace and drug trafficking via cyberspace.
PENGEMBANGAN BUKU PENGAYAAN TEKS DESKRIPTIF PERISTIWA BUDAYA BERBASIS KONTEKSTUAL BAGI SISWA KELAS VII DI KABUPATEN KENDAL

The objectives of this study were (1) to describe the needs analysis of students, teachers, and the community for textbooks enriching contextual cultural events desciption texts for class VII students, (2) to compile a prototype textbook enrichment description of contextual-based cultural events for students of class VII, and (3) describe the results of expert tests from the prototype enrichment text book description of contextual-based cultural events for students of class VII. This study used research and development (R &amp; D) method with the stages of research carried out, which include, (1) potential and problems, (2) data collection, (3) product design, (4) product validation, and (5) product revisions. The data contained in this study are learning process data and the availability of enrichment books in schools, needs analysis, cultural events from the speakers, and data from validation tests. The subjects of this study were teachers, students, the community and resource persons, as well as material and media experts. Data collection techniques carried out by observation, interviews, questionnaires, and expert test assessment sheets. Analysis of the data used in this study is qualitative descriptive. The research produced was a descriptive text enrichment book on Javanese-language cultural events containing eight cultural events in Kendal District. The enrichment books produced have been validated by material experts and media experts. The results of the validation test are enrichment text descriptions of cultural events that are appropriate and suitable to be used as enrichment books and Javanese language learning media for seventh grade students in Kendal Regency.&#x0D; Keywords: Enrichment Books, Cultural Event, Contextual.
Comparative Analysis of Information Retrieval using Ontology Based vs Traditional Information Systems in Food Science Domain

The current methods of searching and information retrieval are imprecise, often yielding results in tens of thousands of web pages. Extraction of the actual information needed often requires extensive manual browsing of retrieved documents. In order to address these drawbacks, this paper introduces an implementation in the field of food science of the ontology-based information retrieval system, and comparison is made with conventional information systems. The ontology of Food Semantic Web Knowledge Base (FSWKB) was built using the Protégé framework which supports two main models of ontology through the editors Protégé-Frames and Protégé-OWL. The FSWKB is composed of two heterogeneous ontologies, and these are merged and processed on a separate server application making use of the Apache Jena Fuseki an SPARQL server offering SPARQL endpoint. The experimental results indicated that ontology-based information systems are more effective in terms of their retrieval capability compared to the more conventional information retrieval systems. The retrieval effectiveness was measured in terms of precision and recall. The results of the work showed that traditional search results in average precision and recall levels of 0.92 and 0.18. The ontology-based test for precision and recall has average rates of 0.96 and 0.97.
COMPARISON OF NAIVE BAYES ALGORITHM AND C.45 ALGORITHM IN CLASSIFICATION OF POOR COMMUNITIES RECEIVING NON CASH FOOD ASSISTANCE IN WANASARI VILLAGE KARAWANG REGENCY

Non-Cash Food Assistance or Bantuan Pangan Non-Tunai (BPNT) is food assistance from the government given to the Beneficiary Family (KPM) every month through an electronic account mechanism that is used only to buy food at the Electronic Shop Mutual Assistance Joint Business Group Hope Family Program (e-Warong KUBE PKH ) or food traders working with Bank Himbara. In its distribution, BPNT still has problems that occur that are experienced by the village apparatus especially the apparatus of Desa Wanasari on making decisions, which ones are worthy of receiving (poor) and not worthy of receiving (not poor). So one way that helps in making decisions can be done through the concept of data mining. In this study, a comparison of 2 algorithms will be carried out namely Naive Bayes Classifier and Decision Tree C.45. The total sample used is as much as 200 head of household data which will then be divided into 2 parts into validation techniques is 90% training data and 10% test data of the total sample used then the proposed model is made in the RapidMiner application and then evaluated using the Confusion Matrix table to find out the highest level of accuracy from 2 of these methods. The results in this classification indicate that the level of accuracy in the Naive Bayes Classifier method is 98.89% and the accuracy level in the Decision Tree C.45 method is 95.00%. Then the conclusion that in this study the algorithm with the highest level of accuracy is the Naive Bayes Classifier algorithm method with a difference in the accuracy rate of 3.89%.
Developing Digital Printing Sticky Media for Chemistry Learning of Senior High School Students on Inorganic Compound Nomenclature Subject

This study aimed to determine the feasibility of digital printing sticky media to be used as a learning media in the subject of inorganic compound nomenclature.This research was categorized as a research and development (R&D) which adopted the Borg and Gall model.This research was carried out in seven steps, namely potential and problems, data collection, product design, design validation, design revision, product tryout, and analysis and reporting.Data analysis technique was using mixed method analysis.The media was applied in a classroom consist of 35 of tenth grade natural science students of SMAN 10 Samarinda, East Kalimantan Province, Indonesia.During the tryout of the media in teaching and learning process, observations on students' activities and students' responses were conducted.The results showed that the developed digital printing sticky media for inorganic compound nomenclature subject had very valid criteria constructed with a percentage of 95.8%.The practicality of the media in chemistry learning was 87.6% with a very good category and students also showed a positive response to the media.Thus, it can be concluded that the developed digital printing sticky media meets is feasible to be used in learning on inorganic compound nomenclature subject.
Online Expedition Services System for Customer at XYZ Ltd.

XYZ Ltd. is an expedition company that uses container ships and container trucks as transportation modes. There are three business process transactions that are carried out by the company, i.e. customer registration, ordering expedition services, and payment expedition services. Currently, all business process transactions are carried out manually, so process automation is needed in order for the business processes to run more effectively and efficiently. For this purpose, an Online Expedition Services Customer Service Information System was proposed to be built. This system consists of three main processes, namely the customer registration process, the customer order process, and the payment process and report generation. XYZ Ltd. Customer Service Information System was built following the waterfall development model. The stages of system development consist of five stages, namely planning, requirements analysis, database, and interface design, implementation of program code writing and testing and system maintenance. In implementing and testing the system, whole system requirements have been checked; the three main business processes in the proposed online system were running precisely, effectively and efficiently.
Penerapan Metode Klasifikasi Decision Tree dan Algoritma C4.5 dalam Memprediksi Kriteria Nasabah Kredit Mega Auto Finance

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future
Bayesian Optimisation for Heuristic Configuration in Automated Theorem Proving

Modern theorem provers such as Vampire utilise premise selection algorithms to control the proof search explosion. Premise selection heuristics often employ an array of continuous and discrete parameters. The quality of recommended premises varies depending on the parameter assignment. In this work, we introduce a principled probabilistic framework for optimisation of a premise selection algorithm. We present results using Sumo Inference Engine (SInE) and the Archive of Formal Proofs (AFP) as a case study. Our approach can be used to optimise heuristics on large theories in minimum number of steps.
PENERAPAN MODEL PEMBELAJARAN CORE (CONNECTING, ORGANIZING, REFLECTING AND EXTENDING) UNTUK MENINGKATKAN PRESTASI BELAJAR PESERTA DIDIK PADA POKOK BAHASAN KESETIMBANGAN KELARUTAN (KSP) DI KELAS XI IPA SMAN 4 PEKANBARU

The research about the CORE (Connecting, Organizing, Reflecting and Extending) model has been conducted in SMAN 4 Pekanbaru. The purpose of this research is to detemine wheterthe application of CORE learning can improve achievement and the influence of application of CORE learning model in class XI IPA SMAN 4 Pekanbaru on the subject solubility aquilibrium (Ksp). The type of this research is experimental research with experiment design randomized control group pretest-posttest. Sample of the research consisted of two classes, a class XI IPA 5 as an experimental class (implemented the CORE learning model) and class XI IPA 1 as the control class (without the CORE learning model). Test tecniques used as a tecnique in collecting research dats. T-test and coefficient determinasi was used as analysis technique. Based on the data analysis obtained t &gt; t table is 5,71 &gt; 1,66, meaning that the application of the CORE learning model can improve the student achievement on the subject solubility aquilibrium (Ksp) in class XI IPA SMA Negeri 4 Pekanbaru with the great influence of implementation of the CORE learning model on improving learning achievement is 31,178%.
The Effect of Internal Corporate Social Responsibility on Job Satisfaction: An Empirical Study on Jordanian Pharmaceutical Companies

The current research investigates the impact of internal corporate social responsibility on job satisfaction in Jordanian pharmaceutical companies. Quantitative research design and regression analysis were applied on a total of 302 valid returns that were obtained in a questionnaire based survey from 14 pharmaceutical companies among employees, supervisors and managers. The results showed that internal corporate social responsibility was significantly related to job satisfaction and three of its dimensions, namely working conditions, work life balance and empowerment contributed significantly to job satisfaction, whereas employment stability and skills development had no contribution. This study implies that Jordanian pharmaceutical companies have to try their best to promote and facilitate internal corporate social responsibility among their employees in an effort to improve their job satisfaction, which will eventually yield positive results for the company as a whole. In light of these results, the research presented many recommendations for future research; the most important ones were the application of this study in other sectors, cultures, and countries, and using of multi method for collecting data.
Implementation of Literacy Management in SMK Negeri 3 Singkawang

Efforts to make schools as learning organizations whose citizens have lifelong literature by utilizing their resources. The main supporter of the School Literacy Movement (GLS) has been owned, namely the SMK Negeri 3 Singkawang library that provides a variety of quality reading books, but in real interest in reading and intensity of borrowing books by students is still minimal. The information obtained is the existence of various things that are considered as obstacles, including (1) the availability of quality books in the neighbourhood, (2) the distance between classes to the library room that is not close, (3) the complexity of the procedure for borrowing books in the library, (4) the time limit for borrowing at the library, (5) there is reluctance towards library staff. The purpose of this study is (1) to describe literacy planning in SMK Negeri 3 Singkawang, (2) describe the implementation of literacy activities in SMK Negeri 3 Singkawang, (3) describe the literacy supervision activities in SMK Negeri 3 Singkawang. The Research Method used descriptive qualitative research. The study was conducted in SMK Negeri 3 Singkawang. The research subjects were students of class X in the academic year 2017/2018, data collection techniques used were interviews, observation and documentation study. As well as triangulation of sources and techniques to ensure the validity of the data. Evaluation results Implementation of the reading corner policy beginning in June 2018 in class X students in the academic year 2017/2018 was that all students (100%) have borrowed library books, all students (100%) have read books non-subjects, 100% of students have made a resume of the contents of at least 1 non-text reading book that they read, 69.6% of students felt that the presentation of the results of resume books can improve the ability to speak in front of the crowd. This study concluded that (1) The planning of the liberation movement in SMK Negeri 3 Singkawang was realized by the formation of the GLS team, Cadre Officers and library classes/reading corners. (2) The implementation of literacy activities in SMK Negeri 3 Singkawang has shown progress shown by the enthusiasm of students to read to increase. (3) The supervision of the literacy movement in SMK Negeri 3 Singkawang is jointly conducted between the GLS team and Indonesian language teachers.
Answer Sheet Recognition System Design

Examination is an indispensable way for students to verify their learning achievements and select talents. With the continuous development of computer technology, especially the emergence of answer sheets, computers have become the mainstream instead of manual examination. The main research content of this design is to use MATLAB software to identify and obtain the information in the answer sheet, import the completed answer sheet into the system, and use MATLAB software to preprocess the image to obtain an image that can be identified later. Through the system to identify the information in the answer card and compare the correct answers, finally realize the identification of the candidate's student number, identification of subjects, reminders of missing information, and calculation of scores and other functions. This article designed the GUI interface, which provided convenience for human-computer interaction, making the system operation more convenient and the results clear.
The role of educational technologies in the individualization of educational students’ activities

The basis of the modern student's training is the idea of individualization of his educational activities since the modern educational paradigm has designated the personality of the student and his needs as the most important link in this system. Higher educational institutions in search of effective ways of formation of competence of the future specialist using individualization of its activity use possibilities of innovative educational technologies. The purpose of the article: to consider the experience of implementation of educational technologies in the individualization of educational activities of students. The article presents an overview of the essence and importance of educational technologies used in the modern educational process, the features of their implementation and their role in the individualization of student activity. We considered the experience of implementation of educational technologies in the individualization of educational activities of students. Innovative technologies have a powerful potential in shaping the competence of future specialists. Individualization of training takes place in comfortable conditions for the teacher and the student. The teacher has the opportunity to constantly monitor the level of knowledge of the student and make timely adjustments, directing it in the right direction. When students perform tasks, the teacher carried out periodic consultations, where he covered for students the questions that appeared to them. The teacher conducted small surveys and tests, with the help of which the test of assimilation of the material was determined. The study presented in the article allowed to determine the impact of individualization of education on the level of student performance. Based on the data obtained in the course of our research, we can conclude that educational technologies provide ample opportunities for individualization of the learning process and contribute to the formation of professional competence of a specialist.
A Clustering-based Framework for Fast Training of Classifiers

Machine learning models are used across domains for decision making these days. While the most important aspect of any model is its accuracy, the training time is also a crucial aspect in many applications. Some of the most powerful classification algorithms like Support Vector Machine (SVM) or Multilayer perceptron (MLP) are often computationally intensive and consume huge amounts of memory and time to train. The issues are further compounded by the large datasets that are common today. In this paper, we use a hybrid approach where clustering algorithms are used to reduce the training dataset to any size, and then run complex algorithms for classification on this tractable yet informative reduced set. The benefits offered are twofold-in reducing memory requirements and speed up training duration. We test this algorithm on four datasets and compare the performances of clustering algorithms like K-means, Mini batch K-means, BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) and Hashing techniques with SVM and MLP. We note that this hybrid approach offers a considerable speedup in training times without any heavy loss of accuracy.