1,720,958 research outputs found
Evaluation of Information Technology Governance at DISKOMINFO Tasikmalaya City Using COBIT 2019
Get PDFThe Office of Communication and Informatics (DISKOMINFO) is an agency engaged in the fields of communication, informatics, coding and statistics. Based on the results of interviews with the Head of Application and Informatics DISKOMINFO Tasikmalaya City, it is known that there are obstacles related to limited resources. Starting from human resources, equipment, budget, and also other supporting facilities. So that an evaluation of information technology governance is needed to determine the capabilities possessed by the information technology. This study uses the COBIT 2019 framework using the RACI diagram as a mapping reference for observation and questionnaire distribution. The domains used are BAI02 (Managed Requirements Definition), DSS02 (Managed Service Requests and Incidents), and MEA01 (Managed Performance and Conformance Monitoring). The results of this study are to determine the capability level in each domain so that the current conditions of the Tasikmalaya City DISKOMINFO are obtained. After carrying out the analysis, it was found that the service performance from the BAI02 domain was at level 4, the service performance from the DSS02 domain was at level 2, and the service performance from the MEA01 domain was at level 3. The results of this service performance measurement made a recommendation to be implemented to increase the value information technology governance in accordance with the needs of DISKOMINFO Tasikmalaya City. Capability level objectives can be increased by carrying out activities that are not yet optimal by the agency until it reaches the full value for each level
Development of Information System Classification of Community Complaints Based on Keyword Case Study: District Pangandaran
Get PDFThe growing technology of the public complaint system requires the development to solve the problems that exist in Pangandaran Regency. One of the problems is not applying the classification of complaints based on keywords. So that people still have difficulty understanding the functions of government agencies correctly because there are several government agencies that have similar functions. The development of the complaints system can minimize these errors. System development used is the Extremme Programming method which has four frameworks including planning, design, coding and testing, using UML modeling (Unified Modeling Language). Extreme Programming is the development of the previous method, the Agile method. For testing applications using Black Box Testing is done only to observe the results of execution through test data and check the functional of the software. So that the results obtained are classifiers of public complaints that are directly conveyed to the relevant agencies running well
Pengujian Parameter Algoritma Genetika dan Feed-Forward Neural Networks pada Permainan Ular Klasik
Get PDFAbstrakKonfigurasi parameter yang tepat sangat penting untuk memaksimalkan kinerja dari sebuah algoritma. Algoritma genetika dan neural networks memerlukan pemilihan parameter yang sesuai dalam penggunaannya. Pada permainan ular, performa diukur dari score dan efisiensi runtime. Penelitian ini menguji parameter untuk menemukan konfigurasi optimal bagi kedua algoritma. Permainan ular digunakan sebagai model eksperimen karena metrik kinerja yang jelas, seperti score yang didapat dan beberapa rintangan yang ada. Sebanyak 60 eksperimen dilakukan untuk membandingkan jumlah generasi dan populasi, mutation chance, dan jumlah neuron pada hidden layer. Hasil penelitian menunjukkan konfigurasi dengan generasi lebih besar dari populasi adalah yang paling optimal, menghasilkan score setara dengan generasi dan populasi yang sama besar, namun dengan runtime lebih efisien. Mutation chance 0.1% merupakan yang terbaik dibandingkan dengan 0.2% sampai 0.5%. Selain itu, hidden layer dengan 16 neuron lebih efisien dibandingkan 24 neuron, baik dari segi score maupun runtime.Kata kunci: Algoritma genetika, neural networks, Permainan ular klasikAbstract Appropriate parameter configuration is crucial to maximizing algorithm performance. Genetic algorithms and neural networks require careful parameter selection. In the game of Snake, performance is measured by score and runtime efficiency. This research tests parameters to find optimal configurations for both algorithms. Snake serves as an experimental model due to clear performance metrics such as score and various obstacles. Sixty experiments compare generation and population sizes, mutation chances, and neuron counts in hidden layers. Findings indicate that configurations with larger generations than populations are optimal, yielding scores similar to equal-sized generations and populations but with more efficient runtime. A 0.1% mutation chance outperforms rates of 0.2% to 0.5%. A hidden layer with 16 neurons proves more efficient than 24 neurons in both score and runtime aspects.Keywords: Genetic algorithm, neural networks, classic snake gam
IbBM Implementasi Dashboard Pada Sistem Informasi Negatif Point Pelanggaran Siswa Sebagai Alat Bantu Monitoring Pelanggaran dan Penentuan Sanksi Di Lingkungan Sekolah
Get PDFpoint pelanggaran siswa merupakan salah satu kebijakan sekolah yang bertujuan untuk mengurangi tingkat pelanggaran yang dilakukan oleh siswa. Masing-masing jenis pelanggaran mempunyai bobot atau nilai point yang berbeda sesuai dengan tingkat besar kecilnya pelanggaran. Total point yang diperoleh siswa merupakan dasar pertimbangan dalam menentukan sanksi. Pada penelitian diusulkan untuk membuat sebuah Implementasi Dashboard pada Sistem Informasi Negatif Point Pelanggaran Siswa di SMKN 2 Tasikmalaya. Tujuannya adalah untuk membantu dalam mempertimbangkan penentuan sanksi serta mempermudah kepala sekolah dalam memonitoring dan mengevaluasi pelanggaran siswa. Metode pengembangan sistem yang digunakan adalah metode waterfall. Hasil dari penelitian ini yaitu berupa laporan pelanggaran siswa serta berupa dashboard pelanggaran siswa diantaranya grafik perbandingan per tahun, presentase negatif point, dan jenis pelanggaran yang sering dilanggar
Implementation Of C5.0 Classification And Support Vector Machine Algorithm With Correlation-Based Feature Selection In Application Liver Disease
Get PDFLiver disease is a general term that refers to a number of disorders or problems that affect the liver. The liver is an important organ in the human body and has many diverse functions, including food processing, protein production, toxin removal, and energy storage. Therefore, when the liver experiences disorders or disease, it can have a serious impact on the overall health and function of the body. Liver disease is a significant global health problem. Early detection as well as classification of liver disease can provide valuable guidance for effective treatment. Based on the problems above, the aim of this research is to create a liver disease classification model using C5.0 and Support Vector Machine with Radial Basis Function (RBF) and Sigmoid kernels. With data obtained from the liver disease dataset. The two methods will be compared and we will find out which one produces the best results. The method used is also optimized with CFS (Correlation Based Feature Selection) feature selection. The results of the classification process, namely the C5.0 Model and Support Vector Machine (RBF) with CFS have a similar accuracy of 76%, while the Support Vector Machine (Sigmoid) has an accuracy of 70%, without feature selection the C5.0 algorithm has an accuracy of 66% , Support Vector Machine between RBF and sigmoid kernels has an accuracy of 69% and 55%
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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