1,720,996 research outputs found
Integrating Evaluation into Development of Knowledge-Based System for Adaptive E-learning System
Full text linkUniversity of Technology Sydney. Faculty of Engineering and Information Technology.One of the main obstacles in knowledge-based systems, particularly in the field of evaluation, is to determine when the development of a knowledge base is complete with valid knowledge available to use. Ironically, this question is not easy to answer, since it involves many aspects in the lifecycle of knowledge-based systems. Some efforts have been introduced in literature, although none have been widely used or even agreed upon. In our investigation, we found that it is possible to provide a ready to use knowledge base without a separate testing phase. This thesis examines the way in which the testing phase could be integrated into the development phase through a statistical monitoring task during the knowledge acquisition process. This research tailored the dynamic evaluation framework and utilised the RDR technology as an incremental knowledge acquisition methodology, with additional statistical analysis to monitor the development of the knowledge base.
Using this framework, this thesis presents INCAES, an incremental adaptive e-learning system. The knowledge base was developed incrementally for suggesting learning contents to students. The recommendation was provided by analysing the learner model as a representation of the students in adaptive learning. However, a systematic understanding of attributes of learners is still lacking in the field of adaptive learning, since those attributes are regularly changed and updated. Thus, we keep track by investigating the potential learner’s attributes that could be adapted to the adaptive system from a number of recent works.
The evaluation of the theoretical concept has been conducted using two real world case studies. The first case study was applied on the Web Programming subject, while the second case study was applied on the Networking Essentials subject. The test cases generated from learners’ attributes and values were used to evaluate the knowledge base. Different scenarios were provided for the case study. The first scenario dealt with stopping the progress of the knowledge acquisition process at an early stage, while the second scenario dealt with stopping it at a later stage. Following the knowledge base construction, two steps of testing were conducted to measure the performance of the initial knowledge base and the subsequent test set. The results have shown that the framework allows for the rapid development of a knowledge base with valid knowledge inside
Quality Evaluation of Ticketing Management System Using ISO/IEC25010:2023 Standards and AHP Method
Full text linkPurpose: Information Technology plays a crucial role in supporting education service systems. When system-related issues arise, a Ticket Management System (TMS) becomes essential to address various software and hardware problems. Evaluating the performance and quality of TMS applications is necessary to ensure their effectiveness. This study assesses the quality of a TMS application developed by University of Amikom Yogyakarta, using ISO/IEC 25010:2023.
Methods/Study design/approach: The Analytic Hierarchy Process method is employed to prioritize three key ISO/IEC 25010 characteristics by engaging TMS application users. Following the ranking, the study conducts quality measurements using questionnaires and black box testing. The questionnaire results are assessed using a Likert scale to determine scores for the TMS application based on the sub-characteristics of the three selected ISO/IEC 25010:2023 characteristics and the AHP-derived rankings.
Result/Findings: The findings indicate that the TMS application achieved a quality score of 4.354. This shows that the TMS application is in the good category.
Novelty/Originality/Value: The study highlights the need for performance efficiency improvements, specifically in the Time Behavior sub-characteristic, to enhance the overall quality of the TMS application
Analisis Karakter Mahasiswa Pelaku Wirausaha di Kota Batam
Full text linkThis study aims to identify the character of the university students as the actors of entrepreneurship in Batam and to develop the entrepreneur characters learning model for the university students to face ASEAN Economic Community (AEC) in the end of 2015. This research uses the descriptive analysis method with the case study approach in Batam city especially in Universitas Internasional Batam, involving 113 respondents using the purposive sampling method. Using the scoring analysis technic is used to draw a conclusion that the average characteristics of the university students as the actors of entrepreneurship in Batam have not meet the expectation since they are still in the moderate category, so the universities need to be more creative in fulfilling their role especially in the development of syllabus and curriculum for the learning proces
Security Infrastructure Service and Information Security Management Capability Audit to Improve System Security in Preventing Cyber Attacks using COBIT 2019
Full text linkCyber-attacks have become a serious concern in recent years, as hackers can attack systems, databases, and even steal personal data from a particular organization's database and sell it on the dark web. The individual identity data will be used to carry out various financially profitable activities such as online fraud, selling data containing detailed account information, and asking for ransom from data owners. The failure of an organization to protect data assets from cyber-attacks stems from several internal factors such as the vulnerability of the information security system it has, the less than optimal awareness of users in the organization of the importance of maintaining safe behavior in cyberspace, and routine processes related to information security that are missed. COBIT 2019 can be used as an audit framework to assess the level of maturity of the governance. Network infrastructure services in an organization can be measured in terms of the level of capability in terms of the application of technology assets and their configuration using the DSS05 and APO13 domains. This study aims to provide guidelines in assessing system security infrastructure in IT governance by assessing areas that are still not comply with the framework used, and providing recommendations for improving these inconsistencies so that the level of infrastructure capability will be maximized then.Cyber-attacks have become a serious concern in recent years, as hackers can attack systems, databases, and even steal personal data from a particular organization's database and sell it on the dark web. The individual identity data will be used to carry out various financially profitable activities such as online fraud, selling data containing detailed account information, and asking for ransom from data owners. The failure of an organization to protect data assets from cyber-attacks stems from several internal factors such as the vulnerability of the information security system it has, the less than optimal awareness of users in the organization of the importance of maintaining safe behavior in cyberspace, and routine processes related to information security that are missed. COBIT 2019 can be used as an audit framework to assess the level of maturity of the governance. Network infrastructure services in an organization can be measured in terms of the level of capability in terms of the application of technology assets and their configuration using the DSS05 and APO13 domains. This study aims to provide guidelines in assessing system security infrastructure in IT governance by assessing areas that are still not comply with the framework used, and providing recommendations for improving these inconsistencies so that the level of infrastructure capability will be maximized then
Prediksi Prevalensi Stunting di Indonesia dengan Ordinary Least Square (OLS)
Full text linkStunting is a growth issue in children, a serious concern both in Indonesia and globally, affecting over 149 million children worldwide, including 6.3 million in Indonesia. Despite some reduction, achieving the national target by 2024 remains challenging. The government has issued a Presidential Regulation to address stunting, focusing on family nutrition and environmental hygiene. This study aims to predict stunting prevalence, develop a more accurate prediction model, provide a basis for policy, and contribute to the scientific literature on stunting in Indonesia. The methods used include comparing algorithms such as Neural Network (NN), RBF Network, SVR kernel RBF, and Ordinary Least Square (OLS). The evaluation shows significant performance variation: NN performs fairly well, RBF Network performs better, SVR kernel RBF also performs well, but OLS stands out with very accurate predictions, minimal error values, and high correlation.Stunting adalah masalah pertumbuhan pada anak-anak, menjadi perhatian serius di Indonesia dan global, dengan lebih dari 149 juta balita terdampak, termasuk 6,3 juta di Indonesia. Meski ada penurunan, mencapai target nasional 2024 masih menantang. Pemerintah telah mengeluarkan Peraturan Presiden untuk menangani stunting, fokus pada gizi keluarga dan kebersihan lingkungan. Penelitian ini bertujuan memprediksi prevalensi stunting, mengembangkan model prediksi yang lebih akurat, memberikan dasar kebijakan, dan berkontribusi pada literatur ilmiah mengenai stunting di Indonesia. Metode yang digunakan adalah membandingkan Algoritma Neural Network (NN), RBF Network, SVR kernel RBF, dan Ordinary Least Square (OLS). Evaluasi menunjukkan variasi kinerja signifikan Linear Regression menunjukkan nilai MAE sebesar 0.93 dan MSE sebesar 1.34, sementara SVR memiliki nilai MAE sebesar 0.91 dan MSE sebesar 1.30. Sebaliknya, OLS menampilkan kinerja terbaik dengan nilai MAE sebesar 0.020390, MSE sebesar 0.000816, RMSE sebesar 0.028561, R2 sebesar 0.923281, dan MAPE sebesar 0.044035. Hal ini menunjukkan bahwa OLS memberikan prediksi yang sangat akurat dengan kesalahan yang minimal dan korelasi yang tinggi, menjadikannya metode yang unggul dalam memprediksi prevalensi stunting
Evaluasi Kinerja Metode Peningkatan Kontras (CLAHE & HE) pada Klasifikasi Ras Kucing menggunakan VGG16
Full text linkCat breed classification is challenging in image processing due to complex visual variations from crossbreeding, which affect care requirements. This study evaluates the effectiveness of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Histogram Equalization (HE) in cat breed classification using a VGG16-based Convolutional Neural Network (CNN). The dataset consists of 4,656 cat images from six breeds, processed with CLAHE and HE for contrast enhancement before training. It is divided into 70% for training, 15% for validation, and 15% for testing. The model is trained for 10 epochs using the Adam optimizer, a 0.0001 learning rate, and batch sizes of 16, 32, and 64. Evaluation using accuracy, precision, recall, and F1-score shows that CLAHE achieves the highest accuracy (99.39%), surpassing HE (99.17%) by 3.29%. CLAHE is more effective in preserving local details, improving precision (78.67%), recall (78.33%), and F1-score (78%). The highest performance is in the Sphinx breed (F1-score 92%), while the lowest is in American Shorthair (F1-score 72%). A high standard deviation indicates classification variations across breeds, but CLAHE consistently improves model accuracy. These findings suggest that CLAHE is more effective than HE in enhancing cat breed classification and offers a more efficient solution than adopting a complex model architecture
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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