A CONTENT ANALYSIS ON ENGLISH TEXTBOOKS FOR THE TENTH GRADERS: LOOK AHEAD AN ENGLISH COURSE FOR SENIOR HIGH SCHOOL STUDENTS YEAR X AND PATHWAY TO ENGLISH FOR SENIOR HIGH SCHOOL STUDENT GRADE X

This research attempted to discover whether or not the English textbooks analyzed met the criteria of a good textbook suggested by Pusat Perbukuan (Pusbuk) and whether they were relevant to the 2013 Curriculum and to find out how those criteria were fulfilled or not by those textbooks and in what way the textbooks were relevant to 2013 curriculum. This research which was a content analysis contained the stages: referring to criteria for English textbook evaluation issued by Pusbuk in 2007 and making some modification to suit the 2013 Curriculum; deciding on the subjects, that were English textbooks entitled Look Ahead: An English Course for Senior High School Student for Grade X Pathway to English for Senior high School for Grade X; applying the criteria for evaluating the textbooks using a simple tick and cross system as judgments; analysing the textbook; and interpreting the findings and stating conclusions. The data were gathered by evaluating the two English textbooks using checklists for textbooks evaluation criteria. In the data analysis technique, the total of criteria points which were met in a workbook for each sub aspect was divided by the total of criteria points in each sub aspect times 100%. For ensuring the credibility of the reserach, consensus was applied in which the research supervisor was the reviewer in evaluating the textbooks. The result confirmed that Look Ahead had met the criteria of good textbook with the fulfillment 86% with coverage 75% for relevance of the materials to the curriculum, 100% for material accuracy, 80% for supporting learning materials, 75% for language appropriateness, 100% for presentation technique, 100% for teaching and learning technique, and 70% for presentation coverage. Meanwhile, Pathway to English had met the criteria of fair textbook with the fulfillment 67% with coverage 83% for relevance of materials to the curriculum, 86% for material accuracy, 60% for supporting learning materials, 38% for language appropriateness, 67% for presentation technique, 87% for teaching and learning technique, and 50% for presentation coverage. Look Ahead was not relevant to the 2013 Curriculum in terms of content due to the absence of presentational texts and activities and character building. Pathway to English was relevant to the 2013 Curriculum due to the presentational activities and activities for character building. It was recommended that teachers modify the textbooks to suit 2013 curriculum and adapt the difficuties to suit learners’ cognitive development

Plagiarism detection for Indonesian texts

As plagiarism becomes an increasing concern for Indonesian universities and research centers, the need of using automatic plagiarism checker is becoming more real. However, researches on Plagiarism Detection Systems (PDS) in Indonesian documents have not been well developed, since most of them deal with detecting duplicate or near-duplicate documents, have not addressed the problem of retrieving source documents, or show tendency to measure document similarity globally. Therefore, systems resulted from these researches are incapable of referring to exact locations of ``similar passage'' pairs. Besides, there has been no public and standard corpora available to evaluate PDS in Indonesian texts. To address the weaknesses of former researches, this thesis develops a plagiarism detection system which executes various methods of plagiarism detection stages in a workflow system. In retrieval stage, a novel document feature coined as phraseword is introduced and executed along with word unigram and character n-grams to address the problem of retrieving source documents, whose contents are copied partially or obfuscated in a suspicious document. The detection stage, which exploits a two-step paragraph-based comparison, is aimed to address the problems of detecting and locating source-obfuscated passage pairs. The seeds for matching source-obfuscated passage pairs are based on locally-weighted significant terms to capture paraphrased and summarized passages. In addition to this system, an evaluation corpus was created through simulation by human writers, and by algorithmic random generation. Using this corpus, the performance evaluation of the proposed methods was performed in three scenarios. On the first scenario which evaluated source retrieval performance, some methods using phraseword and token features were able to achieve the optimum recall rate 1. On the second scenario which evaluated detection performance, our system was compared to Alvi's algorithm and evaluated in 4 levels of measures: character, passage, document, and cases. The experiment results showed that methods resulted from using token as seeds have higher scores than Alvi's algorithm in all 4 levels of measures both in artificial and simulated plagiarism cases. In case detection, our systems outperform Alvi's algorithm in recognizing copied, shaked, and paraphrased passages. However, Alvi's recognition rate on summarized passage is insignificantly higher than our system. The same tendency of experiment results were demonstrated on the third experiment scenario, only the precision rates of Alvi's algorithm in character and paragraph levels are higher than our system. The higher Plagdet scores produced by some methods in our system than Alvi's scores show that this study has fulfilled its objective in implementing a competitive state-of-the-art algorithm for detecting plagiarism in Indonesian texts. Being run at our test document corpus, Alvi's highest scores of recall, precision, Plagdet, and detection rate on no-plagiarism cases correspond to its scores when it was tested on PAN'14 corpus. Thus, this study has contributed in creating a standard evaluation corpus for assessing PDS for Indonesian documents. Besides, this study contributes in a source retrieval algorithm which introduces phrasewords as document features, and a paragraph-based text alignment algorithm which relies on two different strategies. One of them is to apply local-word weighting used in text summarization field to select seeds for both discriminating paragraph pair candidates and matching process. The proposed detection algorithm results in almost no multiple detection. This contributes to the strength of this algorithm

Transforming Assessment and Learning: Making the System Work. Proceeding of the 2022 International Conference on Assessment and Learning

https://research.acer.edu.au/ical/1000/thumbnail.jp

IEOM Society International

IEOM Society Internationa

Religion, Violence and Genocide: in Narratives of Survivors from the War in Bosnia and Herzegovina

The starting point of this study is the war that took place in northwestern Bosnia and Herzegovina in the 1990s. Serbian soldiers and police targeted their use of violent force directly against the civilian populations in northwestern Bosnia. In their quest to expel Bosniacs and Croats from this area, Serbian soldiers and police used mass executions, forced flight, systematic rape, and concentration camps. The aim of this study is analyzing the narratives of survivors of the war in northwestern Bosnia. The focus lies on analyzing interviewees’ description of war-time violence and also analyzing discursive patterns that contribute in constructing the phenomenon “war violence”. Analysis shows that the interpersonal interactions that caused the violence continue even after the violent situation is over. Recollections from perpetrators and those subjected to violence of the war do not exist only as verbal constructions in Bosnia of today. Stories about violent situations live their own lives after the war and continue being important to individuals and social life. The crimes committed in northwestern Bosnia are qualified as genocide according to indictments against former Serbian leaders Radovan Karadžić and Ratko Mladić. All interviewees in this study experienced and survived the war in northwestern Bosnia. These individuals have a present, ongoing relation with these communities: Some live there permanently, and some spend their summers in northwestern Bosnia. Institutions in the administrative entity Republika Srpska (to which northwestern Bosnia now belong administratively) deny genocide, and this approach to war-time events becomes a central theme in future, post-war analysis of the phenomena “war violence”, and “reconciliation”. Therefore, it is very important to analyze the political elite’s denial of the systematic acts of violence during the war that have been conveyed by the Hague Tribunal, the Court of Bosnia and Herzegovina on War Crime, and Bosnian media. The narratives in my empirical material seem to be influenced by (or coherent with) the rhetoric mediated in these fora. When informants emphasize extermination and the systematization of violence during the war, they produce and reproduce the image of a mutual struggle on a collective level. The aim of this struggle seems to be that the described acts of violence be recognized as genocide

Exploring Indonesian academics’ engagement with communities of practice of publications of research results in international journals

The study seeks to gain an understanding of the extent to which the geopolitical context affects the international academic publication practices of Indonesian academics, an under-researched population of academia in South East Asia which belongs to one of the largest country by population in the world, yet peripheral economically and linguistically, and which is in its inaugural process of escalating its publication performance internationally. By drawing on the concept of Communities of Practice (Lave and Wenger 1991; Wenger 1998), this thesis understands the international academic community as a community of practice. This thesis enquires the engagement of Indonesian scholars to the international academic communities through their publications in English-medium international journals. By adopting a mixed-method design as the methodological framework, which combines a questionnaire with 3 qualitative case studies, this thesis investigates the endeavour, the motives and the circumstances that affect these scholars’ ability to publish in English-medium international journals. The main findings of the study show that publication was constrained by: a.) shortages of material resources, such as online journals and; b.) lack of knowledge of specific strategies for research and the writing and publication for international journals. The strategies used include joint-publication, proofreading, and literature review research. Despite these findings most academics privileged publication in English/international journals compared to publication in national journals. Their motives were mainly scholarly recognition and career advancement rather than enriching the available theory in the disciplines. Another finding was that the participants who did achieve publication in international journals were those with active networks of overseas scholars; in particular, those engaged in joint-publication with Anglophone scholars were able to publish in higher-rank centre journals, while those who didn’t, published in regional journals in Asia. The implications of this research include the need for training in research publication strategies and the provision of material resources to support writing for international publication

"ALTERNATIF PENERAPAN TEKNOLOGI INFORMASI DALAM PENENTUAN SUPPLIER INDUSTRI MANUFAKTUR BERBASIS BILL of MATERIAL DAN GROUP TECHNOLOGY"

"Pemilihan supplier merupakan permasalahan yang komplek pada era Industri 4.0 sekarang ini. Banyaknya jumlah supplier dengan kualitas performansi yang berbeda-beda menyebabkan sulitnya pihak internal perusahaan untuk memilih supplier yang sesuai. Di sisi lain macam-macam bahan baku yang dibutuhkan untuk membuat produk jadi, sangat beragam. Kesesuaian supplier berkualitas yang diperlukan untuk memasok bahan baku yang dibutuhkan oleh industri menjadi hal yang penting untuk diselesaikan. Begitupun halnya dengan industri perakitan traktor tangan, industri kecil menengah ini juga sangat tergantung pada ketersediaan bahan pasokan, dan sudah pasti tergantung pula dengan pemilihan supplier itu sendiri. Penelitian disertasi ini bertujuan untuk memperoleh metode terbaru untuk memilih supplier pada industri manufaktur dengan studi kasus pada perakitan industri kecil traktor tangan. Penelitian disertasi ini diawali dengan kegiatan studi literatur melalui FGD, dan studi pustaka, kemudian diikuti dengan pembuatan desain prototipe aplikasi. Dimana untuk menyusun database bahan baku disusun menggunakan struktur produk pada Bill of Material, penentuan bobot kriteria optimal menggunakan Genetic Algorythms dan pemilihan supplier menggunakan metode multi criteria decision making. Studi kasus penelitian ini di sentra Industri Logam Ceper Klaten Solo, yaitu di Politeknik Manufaktur Ceper. Sedangkan pelaksanaan penelitiannya di Lab Komputasional dan Sistem Informasi serta Laboratorium Rekayasa Sistem Informasi Politeknik Negeri Jember. Uji coba aplikasi diimplementasikan pada studi kasus sesungguhnya, dengan data supplier 153, data bahan baku 70 bahan baku dengan variabel kriteria pemilihan supplier sebanyak 10 variabel. Pada tahap akhir diverifikasi menggunakan kuesioner online Google Form, dengan data responden sebanyak 101, banyaknya responden yg memilih “Sangat mudah” dan “Mudah” atau “Sangat lengkap” dan “Lengkap” atau “Sangat tepat” dan “Tepat” > 80 %, ini menunjukkan bahwa aplikasi / web yang dihasilkan dalam penelitian ini sesuai dengan harapan IKM pengguna (Verified). Kata kunci : Pemilihan pemasok, Computational intelegence, Bill of Material, Group Technology, Multi Criteria Decision Making dan Genetic Algorythms.

The relationship between online tutorials and academic performance in distance education: a predictive framework for Open University, Indonesia

This study was administered to find new patterns and meaningful innovation that focuses on applying different machine learning approaches to predict students’ performance by analysing and identifying features in E-learning which strongly affects students’ performance. Moreover, it is a new phenomenon of prediction model that can be implemented in many fields

Radial Basis Function Neural Network in Identifying The Types of Mangoes

Mango (Mangifera Indica L) is part of a fruit plant species that have different color and texture characteristics to indicate its type. The identification of the types of mangoes uses the manual method through direct visual observation of mangoes to be classified. At the same time, the more subjective way humans work causes differences in their determination. Therefore in the use of information technology, it is possible to classify mangoes based on their texture using a computerized system. In its completion, the acquisition process is using the camera as an image processing instrument of the recorded images. To determine the pattern of mango data taken from several samples of texture features using Gabor filters from various types of mangoes and the value of the feature extraction results through artificial neural networks (ANN). Using the Radial Base Function method, which produces weight values, is then used as a process for classifying types of mangoes. The accuracy of the test results obtained from the use of extraction methods and existing learning methods is 100%