Reviewerly/exHarmony huggingface dataset:
Hierarchical Afaan Oromoo News Text Classification

The advancement of the present day technology enables the production of huge amount of information. Retrieving useful information out of these huge collections necessitates proper organization and structuring. Automatic text classification is an inevitable solution in this regard. However, the present approach focuses on the flat classification, where each topic is treated as a separate class, which is inadequate in text classification where there are a large number of classes and a huge number of relevant features needed to distinguish between them.This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of Afaan oromoo News Text. The approach utilizes the hierarchical topic structure to decompose the classification task into a set of simpler problems, one at each node in the classification tree. An experiment had been conducted using a categorical data collected from Ethiopian News Agency (ENA) using SVM to see the performances of the hierarchical classifiers on Afaan Oromoo News Text. The findings of the experiment show the accuracy of flat classification decreases as the number of classes and documents (features) increases. Moreover, the accuracy of the flat classifier decreases at an increasing number of top feature set. The peak accuracy of the flat classifier was 68.84 % when the top 3 features were used. The findings of the experiment done using hierarchical classification show an increasing performance of the classifiers as we move down the hierarchy. The maximum accuracy achieved was 90.37% at level-3(last level) of the category tree. Moreover, the accuracy of the hierarchical classifiers increases at an increasing number of top feature set compared to the flat classifier. The peak accuracy was 89.06% using level three classifier when the top 15 features were used.Furthermore, the performance between flat classifier and hierarchical classifiers are compared using the same test data. Thus, it shows that use of the hierarchical structure during classification has resulted in a significant improvement of 29.42 % in exact match precision when compared with a flat classifier. Keywords : Automatic Text Classification DOI: 10.7176/NMMC/88-01 Publication date: February 29 th 2020
AKSESIBILITAS INFORMASI MELALUI MAKERSPACE DI PERPUSTAKAAN

Conventional library that only relies on human resources and resources information on paper or physical media cannot last much longer because of a very large information explosion. This is supported by the development and availability of global information infrastructure. Therefore the library must adjust to utilizing information technology in order to provide access to the widest possible information to users. Libraries must provide access to information based on digital media. The development of information technology plays a role in making the wider public access to information. Access to information is facilitated by providing a space / place to be creative for users, access to information, and sources of information needed by users. At present the function of the library has shifted from a quiet room to a meeting place for creators or makers. The library becomes a meeting place (Maker Place or Maker Space) that provides easy access to information and information sources. With the makerspace, the library is no longer just a quiet space, but rather a space of expression and open for the development of creativity and problem solving that produces the product of creativity itself. Makerspace is the right choice for solution in realizing sustainable development goals. That is because the library is able to open access to information to the community, help individuals and the community to develop skills and confidence, and help improve social networking. with the ultimate goal of creating an intelligent and prosperous society for the people of Indonesia.
HOW CAN THE INTERNET CHANGE HUMAN RIGHTS ON ONLINE HATE SPEECH REGULATIONS?

Different legal cultures have a variety of approaches to regulating hate speech, ranging from the American libertarian approach to the German positive liberty approach. There are current phenomena linked with the increasing levels of online hate speech. Cyberspace could be a good place to show the effectiveness of human rights. One view is to affirm that rights should be the same on- and offline while the other view is to defend that rights must be interpreted differently on internet. There is a European regulation on online hate speech, but the American approach is not to regulate this issue. The point has been made in some Court cases that the Law is local but the internet is global. The restrictive rules on hate speech from one country can be easily left behind on the net. We are, therefore, faced with two possibilities: a) A change in how Law and human rights are currently conceived; b) Maintain the current situation, accepting the flaws in an imperfect system. Likewise, some people argue that cyberspace should not be rule free and laws must be enforced against internet users as they are for the rest of the citizens. Hate speech has a ‘silencing effect’ -Fiss- for the members of minorities and this justifies some kind of regulation. The liberty/equality dilemma on free speech sometimes requires a solution in terms of protection of minorities. This view is near to the European approach and far from the American, but the net is single space and is global. Human rights must be conceived globally but in a sense compatible with the protection of minorities.
THE IMPLEMENTATION OF ENTRA (ENGLISH FOR TRANSPORTATION) IN ESP PROGRAM OF PPI MADIUN

The aim of this research is to describe the students' responses on the implementation of EnTra in ESP Program of PPI Madiun. The design of this study is descriptive qualitative in which data sources obtained from the students' responses on the interviews and questionnaires after experiencing of using the EnTra Application in English class. The result shows that, from over 60 students as respondents, agree that the application is useful for them in studying English in the area of transportation. There are seven indicators used to measure the student' perception toward the application, those are: aspects of the material relevance, aspects of material organizing, aspects of evaluation / practice questions, aspects of language, aspects of the effects for learning strategies, aspects of software engineering, and aspects of visual appearance. The average students' scoring upon the application after using it for three months is 4,03 based on range scoring 1-5. From this result, it can be concluded that EnTra application is qualified enough to use as the supplementary media in learning English transportation.
Metacognition in Writing Scientific Articles of Postgraduate Students of Indonesian Language Education

ABSTRACT : One's metacognition can be measured through his/her ability to express ideas in writing. The ability to write good arguments demonstrates good logic ability as well. In this study will be investigated is forms and factors that influence metacognition in the writing of scientific articles. The form of metacognition is reflected in the quality of the argument presented in the results and discussion section. A strong argument contains six elements, namely: C (Claim), G (Ground), W (Warrant), B (Backing), M (Modals), and R (Rebuttals). The researchers used S. Toulmin (2003)’s model to study the quality of the argument in the writing of scientific articles. This study is qualitative descriptive research. Data sources in this study are documents and interviews, namely: three scientific articles and interviews with the authors of the articles. Sampling technique uses purposive sampling technique aimed, and content analysis technique is interactive analysis techniques. The results showed that metacognition forms in the writing of scientific articles of Postgraduate student s of Indonesian Language Education at the UNS (Universitas Sebelas Maret or 11 th March University) in Surakarta, Central Java, Indonesia is categorized into two: strong and fairly strong; f actors affecting metacognition consist of two components, namely metacognition and writing components. At the metacognition stage, the three informants are able to understand the problem, solve problems, do solving, and re-examine the process. While at the writing stage, the three informants have done pre-writing, writing, and post-writing. The most influential stage is the pre-writing stage. KEY WORDS : Metacognition; Argument; Scientific Articles . About the Authors: Masithah Mahsa, S.Pd. is a Postgraduate Student of Indonesian Language Education at the UNS ( Universitas Sebelas Maret or 11 th March University), Asrama Mahasiswa UNS, Kartika III Ngoresan, Jebres, Surakarta. Dr. Budhi Setiawan and Dr. Muhammad Rohmadi are the Lecturers at the Postgraduate Indonesian Language Education UNS, Jalan Ir. Sutami 36-A Kentingan, Jebres, Surakarta, Central Java, Indonesia. Corresponding authors: masithahmahsa@yahoo.co.id , buset74@gmail.com , and rohmadi_dbe@yahoo.com Suggested Citation: Mahsa, Masithah, Budhi Setiawan & Muhammad Rohmadi. (2019). “Metacognition in Writing Scientific Articles of Postgraduate Students of Indonesian Language Education” in HONAI : International Journal for Education al, Social, Political & Cultural Studies , Volume 2(1), May, pp.27-46. Bandung, Indonesia: Minda Masagi Press owned by ASPENSI and STISIP Amal Ilmiah, Wamena, Papua, with ISSN 2621-1653 (print) and ISSN 2621-3621 (online). Article Timeline: Accepted (January 15, 2019); Revised (March 15, 2019); and Published (May 30, 2019).
Uncovering interactive book reading processes in first and second grade : a closer look into children’s input and interaction patterns

Being proficiently literate is essential to participate successfully in today’s information society. Interactive book reading (IBR) has been proven to be one of the most enduring and effective methods to foster children’s language and literacy development. Both the frequency and the quality of children’s contributions during IBR-activities are expected to be strongly related to language and literacy development (e.g. Dickinson & Tabors, 2001). Nevertheless, analysis of the available empirical literature on IBR reveals that the microstructure of this stimulating literacy activity was almost exclusively studied from the perspective of the adult’s input (e.g. Gonzales et al., 2014). Children’s input and adult/child interaction patterns during IBR remain underexplored.Therefore, this study aims at disclosing both adult/child and peer interactions during IBR for first and second graders. 600 minutes of video-taped IBR-activity were divided in utterances as unit of analyses and coded using a theory-driven integrated coding-scheme focusing on the core components of IBR (e.g. Mol et al., 2009; van Kleeck et al., 1997): (a) asking questions, (b) hinting, (c) expounding vocabulary, (d) explaining content, (e) illustrating images, (f) linking experiences, (g) indicating book conventions, and (h) clarifying print knowledge. 20% of the utterances were double coded by two independent trained coders resulting in a good overall agreement (κ=.84, p <.00).The presentation will report on analyses regarding the core components of IBR, whereby interaction patterns between adults and children and between children reciprocally are uncovered. Implications for teaching practice and further research optimizing IBR will be discussed.
An Efficient Effort Estimation of a Java Program using Cyclomatic Complexity

This present paper proposes to discuss the structured testing methodology for software testing.It is referred to basis path testing.Depend on the cyclomatic complexity measure formal testing utilizes the control flow structure of software set up path exposure criteria.Extension of the primary structured testing technique for integration testing and object-oriented systems are also accessible.A number of connected software complexity metrics are described.We present a survey of software effort estimation and Software size estimation, which is vital characteristics, has been designated for the determination of limiting the examiner standards.In SPM field, management is always needed for the organization knowledge purpose.According to our topic, we had analytically studied two best useful techniques that are software effort estimation and software size estimation
MACHINE LEARNING APPROACH FOR LUNG CANCER DETECTION AND STAGES PREDICTION

Diagnosing the patients correctly and administering treatments are a major challenge for medical practitioners as critical decisions are made based on diagnosis. The proposed framework is intended to identify lung malignancy in untimely stage in two phases. The proposed framework comprises of numerous steps, for example, image extraction, pre-processing, binarization, thresholding, Division, feature extraction, and neural system identification. In our system we will develop Lung Cancer detection system based on machine learning and neural network. It decreases the chances of getting harm to human by early detection of cancer. In recent past, there has been a lot of progress on data mining and machine learning techniques to predict the various types of diseases.The proposed model is a tool which will take input as the CT scan images and it will predict the possibilities of the disease and its stages. Thus we will try to provide a direction to medical practitioners to make quick intelligent clinical decisions which can help in prophylaxis of the disease and thereby reduce any treatment costs.
Survey on Shape Description and Recognition Techniques

The images have to be described by certain features. The shape is an important visual feature in understanding an image, that remains stable in spite of changes in an object's illumination, color, and texture. So shape features have been applied in object recognition tasks. There are many shape description and recognition techniques in the literature. This survey paper provides an overview of description and recognition techniques and examines implementation procedures for each technique and its advantages and disadvantages. Finally, identify some techniques for image retrieval according to standard principles.
PSIKOLOGI HUMANISTIKDALAM PERILAKU BIBLIOMANIA DI KALANGAN MAHASISWAILMU PERPUSTAKAAN UIN SUNAN KALIJAGAYOGYAKARTA

This research is a qualitative descriptive study, an analysis of the humanistic psychology of bibliomania behavior experienced by students of the UIN Sunan Kalijaga Library Science. The condition where a person has an obsessive-compulsive form of excessive desire to collect books continuously. The goal of the research is to know someone's psychological desire to buy a book and feel relieved in collecting books even though not read. the main motivation in gathering lots of books is just to add to his own insight but when someone has a love and passion for reading books, then all desires related to books will be an extraordinary intellectual adventure. So it is not surprising when a person can be infected with biblicism if he has an excessive desire to buy, read, save, and enjoy books. It's better to love books and buy books naturally, if there is still a large collection of books stored and unread, then hold to buy more books. after reading a book it would be nice to give a review or some kind of ability to write from the results of reading a book. From this creative attitude, we can develop the skills and potential we have to build a civilized nation.
PENERAPAN METODE KOMBINASI JIGSAW DAN CONCEPT MAPPING MENINGKATKAN PRESTASI BELAJAR TENTANG KEBUTUHAN IBU HAMIL

The learning model is one of the external factors that affect motivation and learning achievement. Use of learning models that are not in accordance with the material will become obstacles in achieving objectives and less effective and efficient learning. The purpose of this study is to analyze the Influence combination jigsaw method and concept mapping on learning motivation in students. The method used is quantitative method with quasi-experimental design using a crossover design of this study means to intervene in the two groups with the same treatment at a time when different. The number of study participants as many as 64 people. Research shows students in both groups learning methods learning motivation scores on the learning method was higher (p
Implementering av chattbot i en kundfokuserad kundservice : Behålla det personliga med kundservice hos en chattbot

Digitization continues to accelerate and so does customers’ expectations of businesses and their services. To be able to remain competitive and to maintain pace with the market leaders, high availa ...
Antecedents To Achieve Kanban Optimum Benefits In Software Companies

In 2004, Kanban successfully entered the Agile and Lean realm. Since then, software companies have been increasingly using it in software development teams. The goal of this study is to perform an ...
Indieweb and OER Ghana launch at the university for development studies (UDS), Navrongo campus

It was all joy at the launch of our #Indieweb and #OER program at the university for development studies, Navrongo campus. A Mozilla Open Leaders
Class design strategy considering lifelong education Chinese language learners--Based on the motivation for Chinese language learning

In this article, we proposed the class design model based on motivation for learning to improve the learning efficiency of lifelong education Chinese language learners with current phenomenon which is rapidly entering an aging society. First, surveys and interviews were conducted to find out the learning type of life long education learners. The study found that the integrated directivity factor and the intrinsic factor were the highest among the types of learning motivation and it became a foundation for the class model of learning motivation. As for the way to proceed with class, teachers classify learning contents by the type of motivation and offers classes for all learners about contents that learners absolutely need to learn. The part that can apply learner’s learning motivation was divided into ‘Task selection type’ and ‘Activity selection type’. This article presented the way to proceed with class flexibly according to the type of class. In addition, the purpose of this study is to improve learning interests and learning efficiency for lifelong education Chinese language learners by applying learning motivation model in class and by presenting various evaluation tools to check specific learning examples and learners’ learning situations
Vehicle and Pedestrian Detection Based on Multi-level Feature Fusion in Autonomous Driving

Aims: The factors including light, weather, dynamic objects, seasonal effects and structures bring great challenges for the autonomous driving algorithm in the real world. Autonomous vehicles can detect different object obstacles in complex scenes to ensure safe driving. Background: The ability to detect vehicles and pedestrians is critical to the safe driving of autonomous vehicles. Automated vehicle vision systems must handle extremely wide and challenging scenarios. Objective: The goal of the work is to design a robust detector to detect vehicles and pedestrians. The main contribution is that the Multi-level Feature Fusion Block (MFFB) and the Detector Cascade Block (DCB) are designed. The multi-level feature fusion and multi-step prediction are used which greatly improve the detection object precision. Methods: The paper proposes a vehicle and pedestrian object detector, which is an end-to-end deep convolutional neural network. The key parts of the paper are to design the Multi-level Feature Fusion Block (MFFB) and Detector Cascade Block (DCB). The former combines inherent multi-level features by combining contextual information with useful multi-level features that combine high resolution but low semantics and low resolution but high semantic features. The latter uses multi-step prediction, cascades a series of detectors, and combines predictions of multiple feature maps to handle objects of different sizes. Results: The experiments on the RobotCar dataset and the KITTI dataset show that our algorithm can achieve high precision results through real-time detection. The algorithm achieves 84.61% mAP on the RobotCar dataset and is evaluated on the well-known KITTI benchmark dataset, achieving 81.54% mAP. In particular, the detection accuracy of a single-category vehicle reaches 90.02%. Conclusion: The experimental results show that the proposed algorithm has a good trade-off between detection accuracy and detection speed, which is beyond the current state-of-the-art RefineDet algorithm. The 2D object detector is proposed in the paper, which can solve the problem of vehicle and pedestrian detection and improve the accuracy, robustness and generalization ability in autonomous driving.
Comparative Analysis of Techniques for Spatio-Temporal World Modeling

Currently, a variety of methods exist for creating different types of spatio-temporal world models. Despite the numerous methods for this type of modeling, there exists no methodology for comparing the different approaches or their suitability for a given application e.g. logistics robots. In order to establish a means for comparing and selecting the best-fitting spatio-temporal world modeling technique, a methodology and standard set of criteria must be established. To that end, state-of-the-art methods for this type of modeling will be collected, listed, and described. Existing methods used for evaluation will also be collected where possible.Using the collected methods, new criteria and techniques will be devised to enable the comparison of various methods in a qualitative manner. Experiments will be proposed to further narrow and ultimately select a spatio-temporal model for a given purpose. An example network of autonomous logistic robots, ROPOD, will serve as a case study used to demonstrate the use of the new criteria. This will also serve to guide the design of future experiments that aim to select a spatio-temporal world modeling technique for a given task. ROPOD was specifically selected as it operates in a real-world, human shared environment. This type of environment is desirable for experiments as it provides a unique combination of common and novel problems that arise when selecting an appropriate spatio-temporal world model. Using the developed criteria, a qualitative analysis will be applied to the selected methods to remove unfit options.Then, experiments will be run on the remaining methods to provide comparative benchmarks. Finally, the results will be analyzed and recommendations to ROPOD will be made.
English made easy (EgMe): Mobile app for language learning

English Made Easy (EgME) mobile application is an app that introduces English vocabulary to primary students. This app contains suitable English vocabulary for primary student’s ranging between the ages of 10 to 12 years old. The idea to develop this app came to mind when the realisation of the importance to move in parallel with technology advancements arise, especially in this 4.0 industrial revolution era. This vocabulary application is easy to use. It can be taken anywhere without the usual heavy weight of a printed text book as well as practicing the concept of sustainability as it does not require the use of paper. It can run on mobile devices, such as smartphones or tablets. To make this mobile application more interesting we’ve inserted multimedia elements such as graphic, audio, text and video. To develop English Made Easy (EgME) mobile application, we applied ADDIE model methodology that stands for Analysis, Design, Development, Implementation and Evaluation. We hope with this application, it will encourage primary students to know and understand the English language and it could improvise their way of understanding through answering English examination papers.