Fountain of Informatics Journal最新文献

{"title":"Pengamanan Citra Dengan Operator Algoritma Genetika","authors":"Abduh Riski, Ahmad Saiful Rizal, Ahmad Kamsyakawuni","doi":"10.21111/FIJ.V4I1.2906","DOIUrl":"https://doi.org/10.21111/FIJ.V4I1.2906","url":null,"abstract":"Abstrak Perkembangan teknologi komputer yang semakin pesat tentu diperlukan teknik pengamanan data baik data teks maupun data citra. Pengamanan data menjadi hal yang sangat penting agar data yang dikirimkan tetap terjaga kerahasiaannya. Pada penelitian ini akan dibahas tentang Operator Algoritma Genetika dalam mengamankan data citra. Operator tersebut adalah crossover dan mutasi. Kunci yang digunakan berupa citra yang akan mengalami pergeseran bit. Proses enkripsi dengan Operator Algoritma Genetika menghasilkan citra yang terlihat acak dan  susah untuk ditebak gambar aslinya. Proses dekripsi dengan Operator Algoritma Genetika dapat mengembalikan cipher image menjadi citra yang sebenarnya. Analisis keamanan dari metode yang digunakan menunjukkan bahwa algoritma aman dari serangan analisis frekuensi dibuktikan dengan analisis histogram, analisis diferensial dengan rata-rata NPCR 99,65% dan UACI 32,41%,  dan  analisis korelasi dengan rata-rata sebesar -0,01. Kata kunci : crossover, mutasi, enkripsi, dekripsi, histogram, diferensial, korelasi Abstract [Image Security with Operator of Genetic Algorithm] The rapid development of computer technology needed a technique to secure data both text and image. Data security is vital that the data is sent still safe its confidentiality. In this article will be proposed about security image by Operator of Genetic Algorithm. These operators are crossover and mutation. The key is an image that will get bitshift. Encryption process with operator Genetic Algorithm producing the image which looks random and confusing to predict the original image. Decryption process with Operator Genetic Algorithm can change cipher image to the real image. Security analysis of the method which used indicates that algorithm is secured from analysis frequency attack, proven by analysis histogram, averages analysis differential NPCR 99,65% and UACI 32,41%, and averages correlation value -0,01. Keywords: crossover, mutation, encryption, decryption, histogram, differential, correlation","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44305379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengembangan Aplikasi Rekomendasi Hotel di Bali Dengan Metode Simple Additive Weighting","authors":"Erik Tangganu, Seng Hansun","doi":"10.21111/FIJ.V4I1.3080","DOIUrl":"https://doi.org/10.21111/FIJ.V4I1.3080","url":null,"abstract":"Abstrak Bali merupakan salah satu tujuan wisata favorit bagi wisatawan. Salah satu permasalahan yang kerap dihadapi wisatawan adalah mencari hotel yang baik sesuai dengan kebutuhan mereka selama berlibur di Bali. Penelitian ini bertujuan untuk mengembangkan aplikasi rekomendasi hotel di Bali dengan metode Simple Additive Weighting, yang merupakan salah satu metode rekomendasi terbaik dan banyak digunakan pada Multiple Attribute Decision Making (MADM). Perancangan dan pembangunan aplikasi ini berbasis web dengan menggunakan framework Laravel, basis data MySQL, dan bahasa pemrograman HTML, PHP, CSS, dan Javascript. Pengujian pada aplikasi ini dilakukan dengan melakukan uji scenario, uji kepuasan pengguna dan pengukuran usability dari aplikasi. Berdasarkan uji skenario didapatkan kesimpulan bahwa algoritma SAW sudah diimplementasikan dengan benar pada aplikasi. Uji kepuasan pengguna menghasilkan persentase sebesar 71,33%. Pengukuran usability menggunakan USE Questionnaire juga telah dilakukan dan telah memenuhi keempat aspek dalam USE kuesioner, yaitu Usability, Satisfaction, Ease of Use, dan Ease of Learn. Pengujian dan pengukuran ini mengindikasikan bahwa aplikasi rekomendasi hotel di Bali dengan metode SAW berbasis web telah dirancang dan dibangun dengan benar, meskipun pengembangan lebih lanjut dari sisi UI/UX aplikasi dapat dilakukan pada penelitian mendatang untuk meningkatkan kepuasan pengguna. Kata kunci : sistem rekomendasi, Simple Additive Weighting, USE Questionnaire, hotel, kriteria Abstract [Development of Bali’s Hotel Recommendation Application using Simple Additive Weighting Method] Bali is one of the most favourite tourist destinations. One problem that commonly faced by the tourists is in finding the proper hotel which suitable for their needs during their vacation in Bali. This research aims to develop a hotel recommendation application in Bali using Simple Additive Weighting method, which is one of the best recommendation methods and commonly used for Multiple Attribute Decision Making (MADM). The development of this web-based application is using the Laravel framework, MySQL database, HTML, CSS, PHP, and JavaScript programming language. The test of the application is done by doing the scenario test, user satisfaction test, and usability measurement from the application. The result of the scenario test is that SAW algorithm has been correctly implemented. The user satisfaction test shows 71.33% of satisfaction. Usability measurement using USE questionnaire has also been done and fulfilled the four aspects of USE questionnaire, which are Usability, Satisfaction, Ease of Use, and Ease of Learn. This test and measurement indicate that the web-based application of hotel recommendation in Bali with SAW method has been developed and built well, although a further improvement on the application UI/UX can be done in the future research to increase the user’s satisfaction level. Keywords : recommendation system, Simple Additive Weighting, ","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44682718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Naive Bayes","authors":"Yuliyana Yuliyana, Anita Sindar Sinaga","doi":"10.21111/FIJ.V4I1.3019","DOIUrl":"https://doi.org/10.21111/FIJ.V4I1.3019","url":null,"abstract":"Abstrak Penyakit yang sering dianggap sepele namun sangat mengganggu adalah penyakit gigi. Umumnya gigi rentan terhadap makanan dan cuaca bila gigi mengalami permasalahan. Dari survey diperoleh sangat minim keinginan penderita sakit gigi berobat ke rumah sakit atau dokter spesialis. Sebuah sistem pakar memperkenalkan implementasi diagnosa penyakit gigi. Sipenderita dapat mengobati sakit gigi dengan arahan dari kommputer (pakar). Pakar sebagai sumber data basis pengetahuan diwakilkan komputer mendiagnosa penyakit. Menurut pakar gigi ada 7 jenis penyakit: Erosi Gigi, Ginggi-vitis, Pulpi-tis, Abses Gigi, Periodo-ntitis, Karies Gigi, Hali-tosis, dan Sindrom Gigi Retak. dengan 37 gejala (dikodekan sesuai kriteria). Dalam Naive Bayes, pengklasifikasian menggunakan metode probabilitas dan statistik. Perhitungan Naive Bayes berdasarkan data penyakit dan data gejala dengan variable Data, Hipotesa dan Probabilitas. Hasil dari penelitian ini adalah sebuah diagnosa terhadap penyakit gigi dengan hasil nilai probabilitas tertinggi. Nilai probabilitas dari gejala penyakit gigi diperoleh berdasarkan pengalaman seorang pakar atau dokter gigi. Dari data yang diuji sesuai kasus diketahui probabilitas Penyakit Halitosis adalah yang tertinggi dari penyakit lain yaitu 0.29646 atau 29.64%. Kata kunci : Penyakit Gigi, Diagnosa, Sistem Pakar, Probabilitas, Naive Bayes Abstract [Expert System for Diagnosing Dental Disease Using Naive Bayes Method] Diseases that are often considered trivial but very disturbing are dental diseases. Generally, teeth are susceptible to food and weather when teeth experience problems. From the survey, it was obtained that there was very little desire for dental pain sufferers to go to hospitals or specialists. An expert system introduces the implementation of dental disease diagnoses. Patients can treat toothache with direction from a computer expert. Experts as knowledge base data sources are represented by computers diagnosing disease. According to dental experts, there are seven types of diseases: Dental Erosion, High-Vitis, Pulpitis, Dental Abscess, Periodonitisitis, Dental Caries, Halitosis, and Cracked Tooth Syndrome. with 37 symptoms (encoded according to criteria). In Naive Bayes, the classification uses probability and statistical methods. Naive Bayes calculations are based on disease data and symptom data with variable Data, Hypothesis and Probability. The results of this study are a diagnosis of dental disease with the highest probability value. The probability value of symptoms of dental disease is obtained based on the experience of an expert or dentist. From the data tested according to the case, it is known that the probability of Halitosis is the highest of other diseases, namely 0.29646 or 29.64%. Keywords : Dental Disease, Diagnosis, Expert System, Probability, Naive Bayes","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43978698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penerapan Algoritma K-Nearest Neighbor Untuk Penentuan Peminatan Studi (Studi Kasus : Program Studi Teknik Informatika STMIK Amik Riau)","authors":"Nora Lizarti, Aniq Noviciatie Ulfah","doi":"10.21111/FIJ.V4I1.2822","DOIUrl":"https://doi.org/10.21111/FIJ.V4I1.2822","url":null,"abstract":"Abstrak Peminatan studi pada STMIK Amik Riau merupakan pilihan minat berdasarkan kemampuan khusus dan ketertarikan mahasiswa. Program studi Teknik Informatika STMIK Amik Riau memiliki dua bidang peminatan, yaitu bisnis dan jaringan. Peminatan disesuaikan dengan kemampuan dan ketertarikan dari mahasiswa serta harus dipilih dengan baik dan tepat. Pengambilan peminatan sangat berpengaruh terhadap tugas akhir dan tingkat kelulusan mahasiswa. Pemilihan peminatan studi oleh mahasiswa saat ini hanya mengikuti teman dan tidak berdasarkan kemampuan, sehingga sebuah Sistem klasifikasi peminatan merupakan salah satu solusi untuk menyelesaikan permasalahan pemilihan peminatan pada program studi karena dianggap mampu memberikan rekomendasi pemintan yang baik dan tepat. Algoritma K-Nearest Neighbor (K-NN) merupakan algoritma klasifikasi yang dapat digunakan sebagai solusi dalam pengelompokan data.  Pada penelitian ini data yang digunakan diperoleh dari nilai mata kuliah prasyarat selama semester satu hingga semester lima. Data diolah dengan membangun aplikasi yang menerapkan algoritma K-NN menggunakan PHP dan MySQL. Hasil keluaran sistem memiliki akurasi 100% dibandingkan hasil perhitungan manual menggunakan Ms. Excel. Pengujian menggunakan tools RapidMiner untuk mengukur performa algoritma. Hasil pengujian yang dilakukan terhadap 183 data latih dan 100 data uji menyatakan algoritma K-NN memiliki performa dengan hasil Acuracy, Recall, Precision, F Measure, dan Clasificassion Error dengan nilai 98%, 100%, 100%, 91.67%, dan 2%. Penelitian ini dapat memberikan rekomendasi peminatan studi kepada mahasiswa Teknik Informatika STMIK Amik Riau. Kata kunci : Peminatan studi, klasifikasi, algoritma K-NN Abstract [Implementation o f K-Nearest Neighbor Algorithm For Determining Concentration o f Study a t Informatics Engineering Program o f STMIK AMIK RIAU] Concentration of study at STMIK Amik Riau is a choice of interests based on special abilities and student interests. Informatics Engineering Program at STMIK Amik Riau has two subjects of interest, namely business and networking. The study concentration is tailored to the abilities and interests of students and must be chosen properly and correctly because it is very influential on the final assignment and graduation level of students. The classification system of interest is one of the solutions to solve the problem of choosing a concentration in the study program because it is considered capable of providing good and appropriate spinning recommendations. K-Nearest Neighbor (K-NN) is one of classification algorithm that can be used as a solution in classifying data. In this study, the data used was obtained from the value of prerequisite courses during semester one to semester five. Data is processed by building applications that implement the K-NN algorithm using PHP and MySQL. The output of the system has 100% accuracy compared to the results of manual calculations using Microsoft Excel. The Testing process used Rap","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44963974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengenalan Bahasa Isyarat Indonesia (BISINDO) Untuk Karakter Huruf Dengan Menggunakan Microsoft Kinect","authors":"Anton Breva Yunanda, Fridy Mandita, Aidil Primasetya Armin","doi":"10.21111/fij.v3i2.2469","DOIUrl":"https://doi.org/10.21111/fij.v3i2.2469","url":null,"abstract":"Language is a tool used by humans to communicate between each others. Every human being was born in the world has the ability to communicate in accordance with his mother's language but not all humans are born with good communication skills, one of them is a person with special needs. Sign language is a communication device used by people in need a in communicating with other people. This language uses the body's members to communicate, one way to communicate is to use members of the body that is the hand. Every movement that is done will have a different meaning. In decades, the research in sign language is experiencing a very rapid development. In this study shows the introduction of sign language for character characters using Microsoft Kinect and the Hidden Markov Model (HMM) method. For data are taken from the (Bahasa Isyarat Indonesia) BISINDO dictionary. The results of this research is the level of accuracy of the introduction of letters.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67833715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sales Transaction Result Analysis for Increase Prediction of Income","authors":"S. Sucipto","doi":"10.21111/fij.v3i2.2286","DOIUrl":"https://doi.org/10.21111/fij.v3i2.2286","url":null,"abstract":"The use of data that has long stored in the information system can be utilized to know information that supports decision-making activities. One of them is sales transaction data. During this time, the case of sales transaction data is rarely analyzed to be taken into consideration when taking a decision, such as analyzing the transaction data. The prediction analysis of the transaction should analyze the inflation factors that affect earnings. It is predicted that inflation will lead to an increase in the price of basic necessities which can also lead to employers tend to raise the price of products to be sold. Therefore, this research focuses to analyze sales transaction data at a restaurant. Where the data used is data that has been stored for 3 years within the period 2015-2017. The purpose of this study is to determine the quality comparison of sales predictions of sales between years with regard to inflation based on changes in selling prices. The result of the study is known that the prediction of goods sold with actual data in the following year is quite significant and the prediction of income is not affected by the inflation based on price comparison.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42471263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Model Pengembangan Telecenter Guna Mewujudkan Desa Pintar di Indonesia","authors":"N. Nurchim, Indah Nofikasari","doi":"10.21111/FIJ.V3I2.2466","DOIUrl":"https://doi.org/10.21111/FIJ.V3I2.2466","url":null,"abstract":"The success of the implementation of smart villages is based on the success of the village in carrying out digital transformation with Information and Communication Technology (ICT) as the driver. As a result, villages need an ICT development center which is better known as telecentre. Telecentres contribute to the social and economic development of villages with ICT as the key. In Indonesia, the establishment of telecentres is increasingly prevalent, but until now it was felt that it still did not show its success. The difficulties that arise are, constraints on information and financial management to pay for connectivity, equipment maintenance and telecentre staff salaries. The purpose of this study is to provide a telecentre development model in the form of a Village-Owned Enterprise based on hybrid organizational theory. This research approach was carried out qualitatively with a case study of Lamahu Village, Bone Bolango, Gorontalo. The process of collecting data through interviews, and the results of interviews were analyzed by interpretation into hybrid organizational theory. The results showed that the telecentre development needs to review 3 aspects, namely (1) the establishment of telecentres must have a mission as a social enterprise engaged in the implementation of ICT-based appropriate technology, (2) telecentres in the form of a legal entities Village Owned Enterprise so that they have the opportunity to obtain financial resources from  external (CSR) and internal (village funds) and finally (3) telecentre human resources must involve the village community from origin so that they can help the effectiveness of interaction and ensure the sustainability of ICT adoption.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44810671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aplikasi Registrasi Pasien Berbasis Web di Unit Gawat Darurat (Studi Kasus : Rumah Sakit Bakti Timah Pangkalpinang)","authors":"Hilyah Magdalena, F. Ramadhan","doi":"10.21111/fij.v3i2.2426","DOIUrl":"https://doi.org/10.21111/fij.v3i2.2426","url":null,"abstract":"UGD adalah unit yang memberikan tindakan medis yang dibutuhkan korban / pasien gawat darurat dalam waktu segera untuk menyelamatkan nyawa atau mencegah kecacatan. Rumah Sakit Bakti Timah Pangkalpinang sebagai salah satu rumah sakit kelas c yang ada di Ibukota Provinsi Kep.Bangka Belitung, mempunyai satu Unit Gawat Darurat yang melayani pasien dari berbagai daerah di Provinsi Bangka Belitung. Saat ini dengan semakin banyaknya pasien yang membutuhkan tindakan medis segera, maka pelayanan administrasi medis di UGD seringkali berebut waktu untuk diselesaikan. Agar fokus pelayanan medis lebih besar pada penanganan pasien gawat darurat, maka pelayanan administrasi dapat diselesaikan dengan menggunakan sistem berbasis web. Pegembangan sistem registrasi pasien UGD berbasis web di Rumah Sakit Bakti Timah Pangkalpinang ini dilakukan dengan tujuan meringankan tugas administrasi rekam medis pasien gawat darurat di UGD, baik itu pasien akan dirawat jalan ataupun harus di rawat inap. Pegembangan sistem registrasi pasien UGD berbasis web ini dilakukan dengan metode Object Oriented Analysis and Design (OOAD) dan digambarkan dengan beberapa diagram dalam bahasa Unified Modelling Language (UML). Sistem registrasi pasien UGD berbasis web ini membantu Petugas UGD untuk mendata pasien, menelusuri rekam medis, mempercepat verifikasi data diagnosa dari Dokter UGD, dan juga membantu pasien UGD untuk menyelesaikan administrasi rawat jalan maupun rawat inap.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46038986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Capturing Candid Moments using Daily Device without Dedicated Human Resource","authors":"Yansen Paulus, Oscar Karnalim","doi":"10.21111/FIJ.V3I2.2354","DOIUrl":"https://doi.org/10.21111/FIJ.V3I2.2354","url":null,"abstract":"In most organizations, candid moments on held events should be captured as images for administrative purposes. For instance, if an event is sponsored by third parties, it is necessary to send some images capturing moments on that event to them. However, human resources are required to capture such images, resulting additional operational cost. This paper proposes a method to capture candid moments without human intervention. Unique to this method, daily device (i.e., mobile phone) is used to replace human resource with the help of a phone holder and a dedicated mobile application. Prior capturing images, given mobile application should be installed to the mobile phone and such phone should be attached to the phone holder that is aimed at event area. Candid images can be then automatically collected by running installed mobile application. According to our evaluation, such method can replace human resource for capturing candid moments using daily device. Further, it is more efficient than video recording (i.e., an alternative to capture candid moments) in terms of used battery power and memory.","PeriodicalId":33722,"journal":{"name":"Fountain of Informatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48734731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}