bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penyembunyian Data pada File Video Menggunakan Metode LSB dan DCT
Authors: Yunus Mahmuddin , Harjoko Agus 
Published: August 2020

AbstrakPenyembunyian data pada file video dikenal dengan istilah steganografi video. Metode steganografi yang dikenal diantaranya metode Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT). Dalam penelitian ini dilakukan penyembunyian data pada file video dengan menggunakan metode LSB, metode DCT, dan gabungan metode LSB-DCT. Sedangkan kualitas file video yang dihasilkan setelah penyisipan dihitung dengan menggunakan Mean Square Error (MSE) dan Peak Signal to Noise Ratio (PSNR).Uji eksperimen dilakukan berdasarkan ukuran file video, ukuran file berkas rahasia yang disisipkan, dan resolusi video.Hasil pengujian menunjukkan tingkat keberhasilan steganografi video dengan menggunakan metode LSB adalah 38%, metode DCT adalah 90%, dan gabungan metode LSB-DCT adalah 64%. Sedangkan hasil perhitungan MSE, nilai MSE metode DCT paling rendah dibandingkan metode LSB dan gabungan metode LSB-DCT. Sedangkan metode LSB-DCT mempunyai nilai yang lebih kecil dibandingkan metode LSB. Pada pengujian PSNR diperoleh databahwa nilai PSNR metode DCTlebih tinggi dibandingkan metode LSB dan gabungan metode LSB-DCT. Sedangkan nilai PSNR metode gabungan LSB-DCT lebih tinggi dibandingkan metode LSB. Kata Kunci—Steganografi, Video, Least Significant Bit (LSB), Discrete Cosine Transform (DCT), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) AbstractHiding data in video files is known as video steganography. Some of the well known steganography methods areLeast Significant Bit (LSB) and Discrete Cosine Transform (DCT) method. In this research, data will be hidden on the video file with LSB method, DCT method, and the combined method of LSB-DCT. While the quality result of video file after insertion is calculated using the Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experiments were conducted based on the size of the video file, the file size of the inserted secret files, and video resolution.The test results showed that the success rate of the video steganography using LSB method was 38%, DCT method was 90%, and the combined method of LSB-DCT was 64%. While the calculation of MSE, the MSE method DCT lower than the combined method of LSB and LSB-DCT method. While LSB-DCT method has asmaller value than the LSB method. The PNSR experiment showed that the DCT method PSNR value is higher than the combined method of LSB and LSB-DCT method. While PSNR combined method LSB-DCT higher compared LSB method. Keywords—Steganography, Video, Least Significant Bit (LSB), Discrete Cosine Transform (DCT), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR)
Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna
Authors: Purwanti Ningrum Ika , Eko Putra Agfianto , Nursantika Dian 
Published: August 2020

Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria with compared original image and filtering image (image after using noise and filtering noise).This research result with noise filtering Gaussian (variance = 0.5), highest PSNR value found in the Bilateral Filter method is 27.69. Noise filtering Speckle (variance = 0.5), highest PSNR value found in the Average Filter method is 34.12. Noise filtering Salt&Pepper (variance = 0.5), highest PSNR value found in the Median Filter method is 31.27. Keywords— Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&Pepper
Segmentation-Based Sequential Rules For Product Promotion Recommendations As Sales Strategy (Case Study: Dayra Store)
Authors: Ramadhan Dayan Ramly , Rokhman Nur 
Published: August 2020

One of the problems in the promotion is the high cost. Identifying the customer segments that have made transactions, sellers can promote better products to potential consumers. The segmentation of potential consumers can be integrated with the products that consumers tend to buy. The relationship can be found using pattern analysis using the Association Rule Mining (ARM) method. ARM will generate rule patterns from the old transaction data, and the rules can be used for recommendations. This study uses a segmented-based sequential rule method that generates sequential rules from each customer segment to become product promotion for potential consumers. The method was tested by comparing product promotions based on rules and product promotions without based on rules. Based on the test results, the average percentage of transaction from product promotion based on rules is 2,622%, higher than the promotion with the latest products with an average rate of transactions only 0,315%. The hypothesis in each segment obtained from the sample can support the statement that product promotion in all segments based on rules can be more effective in increasing sales compared to promotions that use the latest products without using rules recommendations.
Aplikasi Algoritma CBA untuk Klasifikasi Resiko Pemberian Kredit (Studi kasus: PT. Telkom CDC Sub Area Kupang)
Authors: Amseke Robynson , Winarko Edi 
Published: August 2020

AbstrakSalah satu penyebab kredit bermasalahberasal dari pihak internal, yaitu kurang telitinya timdalam melakukan survei dan analisis, atau bisa juga karena penilaian dan analisis yang bersifat subjektif.Penyebab ini dapat diatasi dengan sistem komputer, yaitu aplikasi komputer yang menggunakan teknik data mining.Teknik data mining digunakan dalam penelitian ini untuk klasifikasi resiko pemberian kredit dengan menerapkan algoritma Classification Based On Association (CBA). Algoritma ini merupakan salah satu algoritma klasifikasi dalam data mining yang mengintegrasikan teknik asosiasi dan klasifikasi. Data kredit awal yang telah di-preprocessing, diproses menggunakan algoritma CBA untuk membangun model, lalu model tersebut digunakan untuk mengklasifikasi data pelaku usaha baru yang mengajukan kredit ke dalam kelas lancar atau macet.Teknik Pengujian akurasi model diukur menggunakan 10-fold cross validation. Hasil pengujian menunjukkan bahwa rata-rata nilai akurasi menggunakan algoritma CBA (57,86%), sedikit lebih tinggi dibandingkan rata-rata nilai akurasi menggunakan algoritma Naive Bayes dan SVM dari perangkat lunak Rapid Miner 5.3 (56,35% dan 55,03%). Kata kunci—classification based on association, CBA, data mining, klasifikasi, resiko pemberian kredit AbstractOne of the causes of non-performing loans come from the internal, that is caused by a lack of rigorous team in conducting the survey and analysis, or it could be due to subjective evaluation and analysis. The cause of this can be solved by a computer system, the computer application that uses data mining techniques. Data mining technique, was usedin this study toclassifycreditriskby applyingalgorithmsClassificationBasedonAssociation(CBA). This algorithm is an algorithm classification of data mining which integratingassociationandclassificationtechniques. Preprocessed initial-credit data, will be processed using theCBAalgorithmto create a model of which is toclassifythe newloandata into swift class or bad one. Testing techniques the accuracy of the model was measured by 10-fold cross validation. The resultshowsthatthe accuracy averagevalue using theCBAalgorithm(57,86%), was slightly higher than those using thealgorithmsofSVM andNaiveBayes from RapidMiner5.3software(56,35% and55,03%, respectively). Keywords—classification based on association, CBA, data mining, classification, credit risk
Sistem Identifikasi Relief pada Situs Bersejarah Menggunakan Perangkat Mobile Android (Studi Kasus Candi Borobudur)
Authors: Yunmar Rajif Agung , Harjoko Agus 
Published: August 2020

Abstrak Bangsa yang besar adalah bangsa yang menghargai sejarah dan asal usulnya. Relief yang terdapat pada candi Borobudur menggambarkan banyak cerita, termasuk sejarah dan asal usul bangsa ini. Mulai dari cerita kehidupan kalangan kerajaan, kehidupan masyarakat, dan adat istiadat pada saat bangunan candi tersebut dibuat, dsb. Penelitian ini merancang sebuah perangkat lunak mobile Android untuk identifikasi citra relief Candi Borobudur sehingga dapat membantu wisatawan dalam menerjemahkan pesan dan informasi yang terkandung didalamnya. Metode ekstraksi ciri yang digunakan adalah Speeded-Up Robust Feature (SURF) dan hierarchical k-means tree nearest-neighbor untuk identifikasinya. Pengujian identifikasi citra relief dilakukan dengan berbagai macam variasi, yaitu sudut, jarak, rotasi, intensitas cahaya dan keutuhan citra masukan untuk melihat pengaruhnya terhadap hasil pengenalan citra relief tersebut. Metode identifikasi yang diajukan memberikan hasil pengenalan sebesar 93.30% dengan rata-rata waktu komputasi 59.55 detik. Abstract The great nation built from people who can respects they history and origins. Reliefs at Borobudur temple contained many stories, including the history and origins of this nation. Starting from the life story of the royal, society, and customs at the time of the building of the temple was made, and so on. This study develops mobile Android software for identification of Borobudur Temple relief image object so that it can help travelers in translating the story and the information contained therein. Feature extraction method used is speeded-Up Robust Feature (SURF) and hierarchical k-means tree nearest-neighbor for identification. Identification testing of relief images is done by different variations, ie angle, distance, rotation, intensity of the light and wholeness of image input to see the effect on the relief image recognition results. The proposed identification method gives recognition results of 93.30% and the average computation time for 59.55 seconds.
Klasifikasi Data Microarray Menggunakan Discrete Wavelet Transform dan Extreme Learning Machine
Authors: Khadijah Khadijah , Hartati Sri 
Published: August 2020

AbstrakData microarray digunakan sebagai alternatif untuk diagnosa penyakit kanker karena kesulitan dalam dignosa kanker berdasarkan bentuk morfologis, yaitu perbedaan morfologis yang tipis antar jenis kanker yang berbeda. Penelitian ini bertujuan untuk membangun pengklasifikasi data microarray. Proses klasifikasi diawali dengan reduksi dimensi data microarray menggunakan DWT, dengan cara mendekomposisi sampel hingga level tertentu, kemudian mengambil nilai koefisien aproksimasi pada level tersebut sebagai fitur sampel. Fitur tersebut selanjutnya menjadi masukan untuk klasifikasi. Metode klasifikasi yang digunakan adalah ELM yang diterapkan pada RBFN. Dataset yang digunakan adalah data microarray multikelas, yaitu dataset GCM (16.063 gen, 14 kelas) dan Subtypes-Leukemia (12.600 gen, 7 kelas).Pengujian dilakukan dengan cara membagi data latih dan data uji secara random sepuluh kali dengan proporsi data yang sama. Classifier yang dihasilkan dari penelitian ini untuk dataset GCM belum memiliki performa yang cukup baik, ditunjukkan dengan nilai akurasi sekitar 75% ± 6,25% dan nilai minimum sensitivity yang masih rendah, yaitu 15% ± 19,95% menunjukkan bahwa sensitivity untuk tiap kelas belum merata, terdapat beberapa kelas yang sensitivity-nya masih rendah. Namun, classifier untuk dataset Subtypes-Leukemia yang memiliki jumlah kelas lebih sedikit dari dataset GCM memiliki performa yang cukup baik, ditunjukkan dengan nilai akurasi 87,68% ± 2,88% dan minimum sensitivity 51,90% ± 20,29%. Kata kunci— microarray, ekspresi gen, DWT, ELM, RBFN AbstractMicroarray data is used as an alternative in cancer diagnosis because of the difficulties cancer diagnosis based on morphologis structures. Different classes of cancer usually have poor distintion of morphologis structures. The aim of this reserach is to bulid microarray data classfier. The classification process is started by reducing dimension of microarray data. The method used to reduce the microarray data dimension is DWT by decomposing the samples until certain decomposition level and then use approximation coefficients at those level as feature to classifier. Classifier used in this reserach is ELM implemeted on RBFN. Dataset used are GCM (16.063 genes, 14 classes) and Subtypes-Leukemia (12.600 genes, 7 classes). Testing process is done by randomly dividing the training and testing data ten times with same proprotion of training and testing data. The perfomance of classifier built in this research is not so good for GCM dataset, shown by accuracy 75% ± 6,25% and mean of minimum sensitivity 15% ± 19,95%. The low minimum sensitivity indicate that there are few classes that have low sensitivity. But the classifier for Subtypes-Leukemia dataset give better result, that is accuracy 87,68% ± 2,88% and mean of minimum sensitivity 51,90% ± 20,29%. Keywords— microarray, gene expression, DWT, ELM, RBFN
Antioxidant activity of Rosa damascene flos ethanol extracts using hydroxyl and nitrite oxide scavenging methods
Authors: T Elfina Br , G Chrismis N , C Linda , L I Nyoman E 
Published: August 2020

Objective: The purpose of this study were to determine antioxidant activity of Rosa damascene flos ethanol extracts.
Methods: The ethanol extracts were extracted from the crown of rose and rose base by maceration using ethanol 70% solvent. Antioxidant activity was determined with hydroxyl and nitrite oxide scavenging methods and the IC50analyzed using SPSS 23.
Results: The IC50of crown rose ethanol extract (CREE) and rose base ethanol extract (RBEE) on hydroxyl and nitrite oxide scavenging were7.61 ± 0.38μg/mL, 17.55 ± 0.37 μg/mL and were 349,57 ±0,35μg/mL, 54.93 ± 4.49 μg/mL.
Conclusions: The crown of rose ethanol extract (CREE) and rose base ethanol extract (RBEE) has activity as antioxidant.
Analysis of the Quality of Service on the Level of Satisfaction of the Patient In Rs Umum Bandung and Malahayati Medan in Years 2019
Authors: Basyariah Afni , Nasution Sri Lestari Ramadhani , Girsang Ermi , Nasution Ali Napiah 
Published: August 2020

Objective: This study aims to comparing the analysis of the influence of the treatment of disease specialists in the level of satisfaction of outpatient patients at RSU Malahayati Medan and RSU Bandung year 2019.
Methods: This research is a descriptive correlation study. Where this research uses a cross-sectional approach i.e. data that concerns free variables or risks and variable binding or variable consequences, will be collected at the same time. That is, each research subject is only observed once and the measurement is done against the status of character or variable subject at the time of the examination, the author wants to know the influence of reliability, responsiveness, appearance, and attention, in providing service in several type B hospitals in North Sumatera year 2019.
Results: Patients who said the specialist disease in the doctor was reliable as much as 38 people (60.3%), less responsive as many as 40 people (63.5%), attention as much as 51 people (81%) and appearances as many as 51 people (81%).
Conclusions: Variables that affect the satisfaction rate of the outpatient in the RSU Malahayati Medan and RSU Bandung year 2019 is a variable of reliability and variable attention where the dominant variable affects the level of patient satisfaction is variable reliability, while variables that cannot influence is the responsiveness.
THE IMPORTANCE OF THE SURGICAL APPROACH IN THE TREATMENT OF ODONTOGENIC INFECTIONS: CASE REPORT
Authors: Cabral Farah Paixão Renan , Marcos Pantoja de Azevedo Antônio , Gueldini Renata , Medeiros Pinto Junior Ney , Cristina Sartoretto Suelen , José Uzeda Marcelo , Figueiredo de Brito Resende Rodrigo 
Published: August 2020

ABSTRACT Complex odontogenic infections can occur at any age, regardless of gender or social class. This type of complication has two origins: the first due to pulp necrosis with bacterial invasion to the periapical tissue and the second, due to a deep periodontal pocket. A complex odontogenic infection is characterized by its greater potential for dissemination among facial spaces, generating risk to the patient's life. In these cases, complementary exams, such as laboratory and imaging tests, are indispensable for a correct diagnosis and treatment conduct. In addition to an aggressive and intense clinical and surgical treatment, aiming at the patient's well-being. The objective of this work is to report a clinical case of complex odontogenic infection, in a leukoderma patient, male, 28 years old and without systemic involvement. The treatment performed was under general anesthesia, where the professional opted for tooth extraction, surgical drainage of the region with the installation of drains and the use of antibiotics. There were no complications during the surgical procedure and it did not show any changes during the 14 - day postoperative control. Key word: Odontogenic Infection; Dentistry; Oral surgery.
47 ANOS DE FEIRA DO SOM E A RECONFIGURAÇÃO DA NARRATIVA MUSICAL: produção de sentidos na Rádio Cultura Pará
Authors: Carvalho da Silva VENTURA Jússia , Karolina de Sousa RODARTE Lídia , Cristina Silva da COSTA Alda 
Published: August 2020

A tessitura deste artigo parte da cenarização da linguagem radiofônica na ressignificação dos sentidos, memória e experiência social, tendo como corpus de análise o programa Feira do Som da Rádio Cultura. Indagamos sobre como um programa, configurado entre jornalismo musical e cultural, se mantém no ar por 47 anos, com o mesmo modelo e formato, construindo sentidos para o público. Partimos da “conversão semiótica” (LOUREIRO, 2017) e da síntese do heterogêneo na narrativa (RICOEUR, 2010) para concluir que o programa compartilha sentidos que possuem os mesmos referenciais simbólicos, refletidos na linguagem, que partilha com os ouvintes os mesmos signos.
Palavras-chave
Programa Feira do Som; Conversão semiótica; História do rádio; Rádio Cultura; Narrativas.
DO TRANSISTOR AO CELULAR: anotações históricas sobre transformações da reportagem radiofônica a partir de tecnologias
Authors: Mousquer ZUCULOTO Valci Regina , ZIMMERMANN Arnaldo 
Published: August 2020

O artigo (re)visita a trajetória do rádio no Brasil com foco em tecnologias que oportunizaram ao meio explorar suas características de mobilidade, imediatismo, instantaneidade e ubiquidade na produção de reportagens. Reflete-se, em perspectiva de (re)construção histórica, o percurso desde a chegada do transistor na década de 1950 até a consolidação do celular no país, inovações que permitiram ao rádio protagonizar a cobertura jornalística através da reportagem. Na trajetória da reportagem radiofônica e sua relação com as inovações técnicas e tecnológicas busca-se bases para entender a presente reconfiguração do radiojornalismo. É pesquisa exploratória, recorrendo-se à análise documental e revisão bibliográfica, com subsídios da história.
Palavras-chave
Radiojornalismo; Reportagem Radiofônica; História do Rádio; Tecnologias.
A NARRAÇÃO ESPORTIVA NO RÁDIO DO BRASIL: uma proposta de periodização histórica
Authors: Francisconi GÖTZ Ciro Augusto 
Published: August 2020

Resumo
O seguinte trabalho tem como objetivo propor uma linha do tempo para a narração esportiva no rádio do Brasil, dividida nos períodos Desbravador, Paradigmático e Contemporâneo. Buscou-se relacionar essas etapas ao modelo de periodização do meio no país, elaborada por Ferraretto (2012). Este artigo fundamenta-se na economia política da comunicação, através de Mosco (1996), e metodologicamente por Heller (1997), na busca de cortes ou pontos de rupturas históricos. Trata-se de estudo com caráter qualitativo, descritivo e analítico, associado às modalidades de pesquisa documental, que consultou fontes primárias e secundárias, obras relevantes à locução esportiva, documentos e periódicos.
Palavras-chave
Rádio; História; Narração Esportiva; Periodização; Economia Política da Comunicação
DO AM AO FM: uma análise da programação das rádios Caçula e Difusora Pantanal de Mato Grosso do Sul
Authors: LIMA Hélder Samuel dos Santos 
Published: August 2020

O presente artigo teve por objetivo entender como passou a se configurar a programação das Rádios Caçula e Difusora Pantanal após o processo de migração da faixa AM para FM. Para análise da programação e o estabelecimento do Estudo Comparado, recorreu-se as técnicas de observação direta da programação e entrevista em profundidade com locutores e representantes da direção das respectivas emissoras. Após migrar para FM, a análise revela que a Difusora Pantanal apresentou alterações mais significativas de programação do que a Rádio Caçula. Na Rádio Difusora Pantanal, identificamos que foram retirados do ar programas tradicionais do AM com enfoque em esportes e policial, e a emissora optou pelo formato musical voltado para o gênero sertanejo no intuito de atingir um público definido. Já a Rádio Caçula preferiu a replicação da maioria dos programas da faixa AM para FM, onde o processo representou apenas uma adaptação à tecnologia.
Palavras-chave
Rádio; Migração; AM; FM; Mato Grosso do Sul.
A PROFISSIONALIZAÇÃO DO ENSINO DE 2º GRAU COM BASE NO CORPO NORMATIVO EDITADO NO PERÍODO DO REGIME MILITAR
Authors: Medeiros Neta Olivia Morais , Nogueira de Oliveira Fernandes Aleksandra , Silva Dias Carlos Nara Lidiana 
Published: August 2020

Analisamos nesse estudo a profissionalização do ensino de 2º grau durante as décadas de 1970 e 1980 a partir da implantação da Lei nº 5.692 de 1971 no contexto histórico da ditadura militar implantada no Brasil em 1964. No período em tela, a educação estava alinhada as demandas do mercado, bem como as necessidades do capital demandando mão-de-obra minimamente qualificada para operar as indústrias nacionais, mas também das transnacionais que estavam, neste momento, em processo de expansão, na nova perspectiva da transnacionalização imposta pelo processo de globalização. Para este objetivo, faremos análise das principais normas legais que tratam sobre o tema da profissionalização do ensino de 2º grau, atual ensino médio. Esta é uma pesquisa de abordagem qualitativa em que fazemos uso da análise documental e bibliográfica. As fontes selecionadas foram pareceres, decretos, portarias, leis que normatizaram o ensino de 2º grau. Para compreender o objeto de estudo, nos questionamos: Como se deu a profissionalização do ensino de 2º grau por meio do conjunto normativo sancionado em decorrência da Lei nº 5.692/71? Os resultados da pesquisa indicam que a profissionalização obrigatória e compulsória do ensino de 2º grau provocou adesões e rejeições e aumento a dualidade estrutural da educação brasileira. Uma década depois, mais precisamente no ano de 1982, o caráter profissionalizante da lei foi retirado. Essa profissionalização compulsória do 2º grau, foi certamente, a maior derrota da política educacional da ditadura militar.

Palavras-chave: Ensino de 2° grau. Lei nº 5.692/71. Profissionalização do ensino. Educação Profissional.