Browsing by Author "Violina, Sriyani"

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    ANALISIS PERFORMANSI PENGOLAHAN PARALEL MENGGUNAKAN COMPUTE UNIFIED DEVICE ARCHITECTURE (CUDA)
    (Seminar Nasional, Jurusan Teknik Komputer Fakultas Teknik UK. Maranatha, 2010-10-02) Violina, Sriyani; Herlistiono, I. Ovyawan
    Saat ini ban yak aplikasi yang membutuhkan pengolahan sejumlah besar data dalam waktu yang cepat. Disisi lain para pengembang software juga diuntungkan oleh perkembangan hardware yang pesat dim ana kecepatan prosesor semakin cepat sementara harga semakin turun. Tantangannya adalah bagaimana memanfaatkan momen tersebut dengan mengembangkan apfikasi pengolahan parallel yang jalan di prosesor multi-core, dengan harapan pengolahan data menjadi jauh lebih cepat. CUDA merupakan salah satu platform software yang memanfaatkan Graphics Processing Units (GPU) yang ada di setiap workstation untuk melakukan perhitungan numerik.Paper ini bertujuan untuk mengimplementasikan algoritma standar menggunakan CUDA danmenganalisis perfomansi pemrogranian paralel dibandingkandengan pemrograman secara serial. Metod~Y(:Hlg digunakan untuk m.enganalisis .. · adalah uji beda statistika untuk melihat apakah perbedaan dari keduanya signifikan. Parameter ' performansi yang dibandingkan adalah kecepatan proses dalam satuan nanodetik. Hasil pengamatan menunjLikkan bahwa perbedaan kecepatan antara pemrograman parallel menggunakan CUDA dan pemrograman serial untuk algoritma yang diujikan adalah signifikan.
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    ANALYSIS OF GREEDY AND BACKTRACKING ALGORITHM ON KNAPSACK PROBLEM
    (Solid State Technology Volume: 63 Issue: 3, 2020) Violina, Sriyani
    Greedy and Backtracking approaches are two methods commonly used to solve optimization problems. Many problems can be solved using these two methods. The Greedy Algorithm is the most popular method for solving optimization problems. The Backtracking algorithm is an algorithm that applies DFS (Depth First Search) to its node tracing. Knapsack problem is a combinatorial problem, where a group of items is given each having a weight and value. Knapsack solution using Greedy does not always get optimal results while backtracking always achieves optimal results.
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    COMPARATIVE STUDY OF THE APPLICATION OF BLENDED LEARNING METHOD VERSUS FACE-TO-FACE LEARNING METHOD IN STUDENT LEARNING ACHIEVEMENT CASE STUDY: Computer Graphic Courses at Widyatama University
    (International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02, 2020) Herlistiono, Iwa Ovyawan; Violina, Sriyani
    The e-learning learning method does not require face-to-face between teachers and students, all teaching and learning activities are bridged by the e-learning system. At the time of implementation there were several obstacles to the implementation of e-learning, including inadequate infrastructure and an independent learning culture that students did not yet have that still required face-to-face activities with the instructor. Blended Learning is a learning method that combines e-learning systems with face-to-face methods. In 1 (one) semester, it is determined when learning is done by e-learning system and when face to face. This study compares student learning outcomes using face-to-face and blended learning methods for Computer Graphic courses at Widyatama University.
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    GENETIC LOCAL SEARCH ALGORITMA UNTUK q-MST
    (Seminar Nasional, Fakultas Teknik Universitas Widyatama, 2004-10-09) Herlisliono, Ovyawan; Violina, Sriyani
    Oalam penelitian inl, kami mengaplikasikan sebuah original idea yai tu penggunaan genetic local search dari Bemd & Freisleben pada quadratic Minimum Sparming Tree problem (q-MST) dari Zhou & Gen . Kaml telah mendesa in sejumlah Genetic operator untuk mereallsasikan pendekatan ini dan sampai saat ini kine~anya telah dlUji pada problema q-MST anlara 10 dan 20 kala.
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    NAIVE BAYES BINARY CLASSIFICATION FOR FILM REVIEW
    (-, 2023-01) Herlistiono, Iwa Ovyawan; Violina, Sriyani
    Online streaming services provide thousands of movie collections that can be watched by customers, viewers usually choose films based on reviews and ratings. To save time in the selection of good programs, there needs to be a tool to classify the various reviews available to choose which films are worth watching. Classification is an important topic in machine learning and data mining. In this study we use the naïve bayes algorithm which is one of the most efficient and effective algorithms for classification. The data set used in this study is the IMDB film review data taken from [4], as many as 50000 data that has been given 2 types of classification labels, namely "negative" and "positive".It can be concluded that the accuracy of the Naïve Bayes algorithm by applying the Multinomial and Beroulli methods is able to classify film reviews well in all test scenarios with the best accuracy achieved is 84%.
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    AN OVERVIEW OF NASAL LUBRICANT FORMULATION
    (International Journal of Psychosocial Rehabilitation, Vol. 24, Issue 1, 2020) Amal, Surya; Amal, Andi Sri Suriati; Hidayah, Himyatul; Violina, Sriyani
    The aim of this overview is to provide information on current researches and literatures relating to nasal lubricants. Drawing upon the MEDLINE database from 1945 to 2011, in addition to other relevant sources, this overview specifically discusses and evaluates various formulations and usages of nasal lubricant, their mechanism of action, associated with nasal irrigation, as well as additives used in nasal lubricant products. It is found that although nasal irrigation or nasal lubricant basically serves the same purpose and represents a costeffective method of alleviating symptoms of nasal diseases, the effects of additives used in their formulations have yet to be carefully studied.
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    PEMBANGUNAN BAHAN AJAR MULTIMEDIA UNTUK MATAKULIAH ALGORITMA
    (Seminar Nasional, Jurusan Teknik Komputer Fakultas Teknik UK. Maranatha, 2010-10-02) Violina, Sriyani; Rilgivia, Hevi; Kristanto
    Bahan ajar Algoritma berbasis multimedia merupakan sebuah software aplikasi yang dibangun dengan tujuan untuk memudahkan mahasiswa dalam mempelajari materi kuliah Algoritma dan Pemrograman. Bahan ajar ini dilengkapi dengan contoh-contoh soallkasus dan latihan-Iatihan secara interaktif. Penelitian ini menggunakan metode penelitian tindakan. Hasil kegiatan pembangunan bahan ajar algoritma berbasis multimedia ini digunakan sebagai alat bantu pengajaran matakuliah Algoritma di Jurusan Teknik Informatika Universitas Widyatama. Dengan adanya sumber belajar berbasis multimedia ini diharapkan dapat memudahkan baik bagi pengajar maupun siswa untuk menjalankan proses belajar mengajar terutama di matakuliah algoritma
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    SOCIETY-BASED HOSPITAL SYSTEM IMPROVEMENT: MODEL FINDING WITH TECHNOLOGY PERSPECTIVE
    (International Journal of Psychosocial Rehabilitation, Vol. 24, Issue 2, 2020) Yustim, Benny; Violina, Sriyani; Sinaga, Ardiles
    Health problems faced by people in developing countries, especially pregnant women, have their own dynamics. The government as the party that has the authority in terms of alleviating problems related to the future of this nation is certainly always trying to make various strategic steps in anticipating existing problems with various policies. One of the policies carried out by the Cirebon local government related to issues related to the high maternal mortality rate, one of which was to initiate a society-based hospital policy. The implementation of the policy is expected to be accelerated with appropriate and targeted technology. The selection of appropriate and targeted technology and in accordance with business processes developed from existing policies is expected to solve problems better.