1,721,027 research outputs found
Active Learning berbasis Teknologi Informasi (ICT)
Full text linkPenerapan pembelajaran aktif di perguruan tinggi didasarkan pada prinsip bahwa cara belajar terbaik bagi mahasiswa adalah dengan melakukan, dengan menggunakan semua inderanya dan dengan mengeksplorasi lingkungannya yang terdiri atas orang, hal, tempat dan kejadian yang terjadi dalam kehidupan nyata (pembelajaran kontekstual dan pemecahan masalah). Untuk memfasilitasi pembelajaran aktif, dosen harus menggunakan berbagai strategi yang aktif dan kontekstual, melibatkan pembelajaran bersama (cooperative learning) dan mengakomodasi perbedaan jender dan gaya belajar masing-masing mahasiswa dengan tujuan untuk memaksimalkan kemampuan pembelajar dalam memahami hal baru dan dapat menggunakan informasi baru tersebut dalam kehidupan mereka sehari-hari. Teknologi informasi, meliputi segala hal yang berkaitan dengan proses, penggunaan sebagai alat bantu, manipulasi, dan pengelolaan informasi. Sementara teknologi komunikasi merupakan segala hal yang berkaitan dengan penggunaan alat bantu untuk memproses dan mentransfer data dari perangkat yang satu ke lainnya. Pembelajaran aktif sesungguhnya adalah bagaimana membuat proses pembelajaran itu lebih berpusat kepada mahasiswa yang aktif dengan memanfaatkan teknologi informasi atau ICT Component
Memahami Penggunaan Diagram Arus Data
Full text linkDiagram Arus Data atau yang sering disebut sebagai Data Flow Diagram (DFD) merupakan alat perancangan sistem yang berorientasi pada alur data dengan konsep dekomposisi dapat digunakan untuk penggambaran analisa maupun rancangan sistem yang mudah dikomunikasikan oleh profesional sistem kepada pemakai maupun pembuat program. Diagram Arus Data mempunyai empat komponen utama yaitu entitas (entities), proses (process), media penyimpanan (data storage) dan arus data (data flows). Ke empat komponen tersebut menggambarkan arus sistem agar mudah dipahami
Pemanfaatan Open Source Software (OSS) Dilingkungan Universitas Mulawarman
Full text linkPerkembangan pemanfaatan software berbasis open source telah menjadi perhatian Pemerintah Pusat, diwujudkan dengan diterbitkannya Surat Edaran dari Departemen Komunikasi dan Informasi R.I dan juga diperkuat oleh SE Kementerian Negara Pendayagunaan Aparatur Negara R.I yang menginstruksikan penggunaan software legal (non-proprietary) oleh Instansi Pemerintah Pusat dan Daerah. Tujuan baik ini adalah untuk membuat kenyamanan dan keabsahan aspek legalitas pemakainya. Tidak terlepas Universitas Mulawarman sebagai pencetak SDM juga berperan aktif dalam mensukseskan program Pemerintah ini dengan mensosialisasikan penggunaan Open Source (OS) melalui lembaga UPT. Distance Learning, divisi POSS (Pusat Pendayagunaan Open Source Software) yang diberi kepercayaan sebagai motor penggerak pemanfaatan Open Source (OS) dilingkungan Universitas Mulawarman. Tulisan ini digunakan untuk melihat perkembangan pemanfaatan Open Source Software (OSS) dilingkungan Universitas Mulawarman dalam rangka menyikapi kebijakan pemerintah pusat dan kebijakan Universitas Mulawarman itu sendiri
Memahami Penggunaan UML (Unified Modelling Language)
Full text linkUnified Modelling Language merupakan alat perancangan sistem yang berorientasi pada objek. Secara filosofi kemunculan UML diilhami oleh konsep yang telah ada yaitu konsep permodelan Object Oriented (OO), karena konsep ini menganalogikan sistem seperti kehidupan nyata yang didominasi oleh obyek dan digambarkan atau dinotasikan dalam simbol-simbol yang cukup spesifik maka OO memiliki proses standard dan bersifat independen. UML diagram memiliki tujuan utama untuk membantu tim pengembangan proyek berkomunikasi, mengeksplorasi potensi desain, dan memvalidasi desain arsitektur perangkat lunak atau pembuat program. Komponen atau notasi UML diturunkan dari 3 (tiga) notasi yang telah ada sebelumnya yaitu Grady Booch, OOD (Object-Oriented Design), Jim Rumbaugh, OMT (Object Modelling Technique), dan Ivar Jacobson OOSE (Object-Oriented Software Engineering). UML mempunyai tiga kategori utama yaitu struktur diagram, behaviour diagram dan interaction diagram. Dimana masing-masing kategori tersebut memiliki diagram yang menjelaskan arsitektur sistem dan saling terintegrasi
Performance Measurement in ITG Based on Balanced Scorecard
Get PDFThe article reports on our work in conducting performance measurement for the management of Information Technology (IT) by applying the Balanced Scorecard (BSC) at Mulawarman University, Samarinda, East Kalimantan, Indonesia. The results of this study are then used to propose a hybrid framework that applies both BSC and a artificial intelligence (AI) techniques in order to measure the performance of IT governance generally. This article also examines BSC’s abilities and its flexibility compared to other methods in measuring the performance of IT governance. The proposed hybrid framework is expected to yield a management that produces a scorecard measures that are more rigorous, accurate and consistent with the objectives and organizational strategies in non-profit organizations, especially educational ones
An audio encryption using transposition method
Full text linkEncryption is a technique to secure sounds data from attackers. In this study, transposition technique that corresponds to a WAV file extension is used. The performance of the transposition technique is measured using the mean square error (MSE). In the test, the value of MSE of the original and encrypted audio files were compared; the original and decrypted audio files used the correct password is ‘SEMBILAN’ and the incorrect password is ‘DELAPAN’. The experimental results showed that the original and encrypted audio files, and the original and decrypted audio files used the correct password that has a value of MSE = 0, and with the incorrect one with a value of MSE 0.00000428 or ≠ 0. In other words, the transposition technique is able to ensure the security of audio data files
Towards Palm Bunch Ripeness Classification Using Colour and Canny Edge Detection
No full textThe ripeness of the farm-able palm fruits is an important factor in the production of quality palm oil. The work presented is an image processing implementation in the palm oil industry to eliminate human errors in the judgment of the ripeness of palm fruit bunches as well as to introduce automation. Various techniques were employed to obtain data from the images provided for the data mining process. The features used are the colour of the palm fruit bunches and the amount of edges representing visible leaves in the palm fruit bunches, indicating empty sockets. The project is able to achieve an accuracy of up to 79.11%.</p
Performance of modeling time series using nonlinear autoregressive with eXogenous input (NARX) in the network traffic forecasting
Full text linkA time-series data analysis and prediction tool for learning the network traffic usage data is very important in order to ensure an acceptable and a good quality of network services can be provided to the organization (e.g., university). This paper presents the modeling using a nonlinear autoregressive with eXogenous input (NARX) algorithm for predicting network traffic datasets. The best performance of NARX model, based on the architecture 189:31:94 or 60%:10%:30%, with delay value of 5, is able to produce a pretty good with Mean Squared Error of 0.006717 with the value of correlation coefficient, r, of 0.90764 respectively. In short, the NARX technique has been proven to learn network traffic effectively with an acceptable predictive accuracy result obtained
Learning Style Preferred by English and Computer Students in Indonesia Context
Full text linkThis study investigates students’ learning style at tertiary level in Indonesia con-text. Eighty students of English Education and Computer Science Department participated in this study. Using a case study design, Kolb Learning Style Inven-tory and interview were employed to gather the data. The results showed that the students had similar learning style. They employed more Diverger style than three other characteristics. They had more ability in Concrete Experience in grasping experience process and Reflective Observation was dominant in transforming ex-perience process. This indicated that the English students were likely to observe, do and feel while the Computer students had more mixed style; feel, observe, and think and do. These findings will contribute to our knowledge what types of ac-tivities and teaching methods will suit with the students’ learning styles
Attention Models for Sentiment Analysis Using Objectivity and Subjectivity Word Vectors
No full textIn this research, we look at the notions of objectivity and subjectivity and create word embeddings from them for the purpose of sentiment analysis. We created word vectors from two datasets, the Wikipedia English Dataset for objectivity and the Amazon Product Reviews Data dataset for subjectivity. A model incorporating an Attention Mechanism was proposed. The proposed Attention model was compared to Logistic Regression, Linear Support Vector Classification models, and the former was able to achieve the highest accuracy with large enough data through augmentation. In the case of objectivity and subjectivity, models trained with the objectivity word embeddings performed worse than their counterpart. However, when compared to the BERT model, a model also with Attention Mechanism but has its own word embedding technique, the BERT model achieved higher accuracy even though model training was performed with only transfer learning
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