{"title":"Rancang Bangun Smart Parking System Berbasis Kartu RFID RC522","authors":"Muhammad Akbar, Andani Achmad","doi":"10.37639/JTI.V12I1.238","DOIUrl":"https://doi.org/10.37639/JTI.V12I1.238","url":null,"abstract":"Perancangan smart parking ini bertujuan untuk merancang sebuah system smart parking yang dapat mempermudah.penginformasian jumlah parkiran yang kosong serta mempermudah para mahasiswa dalam menentukan termpat parkir saat hendak mengikuti proses kuliah yang secara khusus tempat penelitian dilakukan di parkiran STMIK Handayani. Tempat parkir yang menjadi lokasi penelitian adalah area parkir STMIK Handayani Makassar. Namun, dalam penelitian ini hanya beberapa tempat parkir yang dipilih sebagai sampel, studi ini hanya menyangkut parkir sepeda motor. Dalam perancangan ini terdapat beberapa alat yang digunakan yaitu, RFID RC522 sebagai alat akses masuk dan keluar parkiran. Power Window sebagai penggerak palang parkir. Arduino digunakan sebagai pengontol Power Window dan LCD. Firebase sebagai tempat penyimpanan database. NodeMCU sebagai modul wifi sekaligus pemrosesn data. WiFi sebagai alat komunikasi data. LCD sebagai alat untuk menampilkan jumlah slot parkir. Sistem ini juga dibangun menggunakan Bahasa pemrograman Phyton dan C++. System smart parking yang menggunakan RFID RC522 sebagai alat inputnya dan diproses oleh NodeMcu berdasarkan data yang tersedia di Firebase. Hasil eksekusi data dikirim ke Arduino dan Arduino akan memerintahkan Power Window untuk membuka atau menutup portal serta menampilkan informasih pada led. Hasil penelitian ini di harapkan dapat mempermudah para mahasiswa yang memiliki jadwal kuliah dan hendak berkuliah dapat mendapatkan parkiran secara mudah","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76984250","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":"PERBANDINGAN METODE WEIGHTED PRODUCT DAN ELECTRE PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PAKAN AYAM BROILER","authors":"Suwatri Jura Tri, Nasrullah Nasrullah, Herlinah Herlinah, Desi Purmatasari","doi":"10.37639/JTI.V12I1.201","DOIUrl":"https://doi.org/10.37639/JTI.V12I1.201","url":null,"abstract":"Pakan adalah makanan atau asupan yang diberikan kepada hewan ternak (peliharaan). Istilah ini diadopsi dari bahsa Jawa.Pakan merupakan sumber energi dan materi bagi pertumbuhan dan kehidupan makhluk hidup. Zat yang terpenting dalam pakan adalah protein. Pakan berkualitas adalah pakan yang kandungan protein, lemak, karbohidrat, mineral, dan vitaminnya seimbang. Bagi semua makhluk hidup, pakan mempunyai peranan sangat penting sebagai sumber energi untuk pemeliharaan tubuh, pertumbuhan dan perkembang biakan. Desain penelitian yang digunakan adalah Unified Modeling Language (UML) yang didesain secara terstrukturyang terdiri dari rancangan model use case diagram, activity diagram, sequence diagram, dan class diagram. Text editor yang digunakan dalam membangun sistem ini adalah sublime text, sedangkan bahasa, pemrograman menggunakan PHP, javascript, dan Mysql untuk pengolahan database. Dalam penelitian ini pengumpulan data diperoleh melalui observasi, wawancara dan dokumentasi.Metodeyang digunakan dalam penelitian yaitu weighted product dan ELECTRE. Hasil dari perancangan aplikasi perbandingan metode weighted product dan ELECTRE pada sistem pendukung keputusan pemelihan pakan ayam broiler antara lain memberikan hasil rekomendasi pakan ayam yang terbaik serta perbandingan metode weighted product dan ELECTRE.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77301737","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":"PENINGKATAN PELAYANAN PELANGGAN DENGAN MEMBANGUN SISTEM INFORMASI MANAJEMEN SERVICE PADA CV EDO PRIMA COMPUTAMA","authors":"Y. Wijaya","doi":"10.37639/JTI.V12I2.222","DOIUrl":"https://doi.org/10.37639/JTI.V12I2.222","url":null,"abstract":"Dalam menjalankan proses bisnis, CV Edo Prima Computama memiliki kendala di pelayanan informasi pelanggan. Kendala tersebut adalah kurangnya optimalisasi peayanan inforamsi service dan manajemen data service. Dalam melakukan pelayanan informasi pelanggan service CV Edo Prima Computama, hanya menggunakan media komunikasi whatsapp saja. Salah satu kelemahan pelayanan melalui whatsapp adalah pelanggan harus menunggu waktu respon dari admin yang terkadang menunggu waktu yang lama apabila admin belum online. Dalam melakukan pencatanan transaksi, CV Edo Prima Computama masih memikiki ketergantungan menggunakan kertas nota. Pengelolaan data service dilakukan oleh admin dari kertas ke excel kemudian dikirimkan ke atasan. Untuk mengatasi permasalahan tersebut maka dibutuhkan sistem inforamsi manajemen yang digunakan untuk optimalisasi pelayanan pelanggan dan pengelolaan data service. Sistem informasi yang dibangun menggunakan metode extreme programing. Sistem informasi yang dihasilkan memiliki fitur untuk rekapitulasi data service pelanggan, pengelolaan data service pelanggan, layanan informasi riwayat service pelanggan, dan unduh nota digital.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75551478","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}
firda chaca familysn, Abdul Latief Arda, S. Zuhriyah, Syamsul Alam
{"title":"IMPLEMENTASI ALGORITMA METODE APRIORI PADA POLA PEMBELIAN OBAT BERBASIS WEB PADA APOTEK NEYLA FARMA","authors":"firda chaca familysn, Abdul Latief Arda, S. Zuhriyah, Syamsul Alam","doi":"10.37639/JTI.V12I1.186","DOIUrl":"https://doi.org/10.37639/JTI.V12I1.186","url":null,"abstract":"Penelitian yang dilakukan bertujuan untuk menentukan posisi peletakan lemari obat yang didapatkan melalui pola transaksi pembelian obat menggunakan metode apriori berbasis web. Sistem tersebut membantu bagian administrasi apoteker dalam menentukan tata letak obat berdasarkan data klasifikasi setiap jenis transaksi yang dilakukan. \u0000Desain penelitian yang digunakan adalah Unified Modeling Language (UML) yang didesain secara terstruktur yang terdiri dari rancangan model use case diagram, activity diagram, sequence.diagram dan class diagram. Text editor yang digunakan dalam membangun sistem ini adalah sublime text, sedangkan bahasa pemrograman menggunakan PHP, javascript, dan MySql untuk pengolahan database. Dalam penelitian ini pengumpulan data diperoleh melalui observasi, wawancara dan dokumentasi. Metode yang digunakan dalam penelitian yaitu Apriori. \u0000Hasil dari aplikasi ini yaitu pengaturan tata letak obat berdasarkan pola transaksi pembelian obat menggunakan metode apriori berbasis web dengan melakukan pengklasifikasian data transaksi berdasarkan hari, tanggal maupun tahun yang memenuhi nilai minimum support dan confidence aplikasi sehingga menghasilkan aturan asosiasi yang memenuhi nilai yang telah ditetapkan.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73516955","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 MONITORING KINERJA \"WORM-APP\" UNTUK DOSEN DAN KARYAWAN (STUDI KASUS : UNIVERSITAS PGRI MADIUN)","authors":"Muna Wardah Astuti, Hani Atun Mumtahana, Ridho Pamungkas","doi":"10.37639/JTI.V12I2.223","DOIUrl":"https://doi.org/10.37639/JTI.V12I2.223","url":null,"abstract":"Worm-App atau Work Monitoring Application adalah sebuah sistem informasi untuk me-monitoring kinerja dosen dan karyawan Universitas PGRI Madiun. Worm-App didesain dengan arsitektur aplikasi client-server. Sisi client dibuat berupa aplikasi mobile berbasis android, sedangkan sisi server dibuat dengan berbasis web. Fitur yang ingin dibangun dalam sistem Worm-App antara lain presensi online, cuti, dan lembur beserta dengan hasil rekapitulasi masing-masing. Tujuan pembuatan sistem ini yakni 1) membantu pimpinan universitas dalam me-monitoring kinerja dosen dan karyawan; 2) membantu pimpinan universitas, dosen, dan staff kepegawaian dalam melakukan pengelolaan data presensi, cuti, dan lembur masing-masing dosen dan karyawan. Sasaran pengguna Worm-App untuk sisi clent ialah dosen dan karyawan Universitas PGRI Madiun. Namun demikian, di dalam penelitian ini batasan sistem yang akan dibangun oleh penulis ialah Worm-App untuk sisi server berbasis web sebagai sistem pengelola data, dengan sasaran pengguna ialah administrator, operator, dan Wakil Rektor 2 sebagai atasan. Sistem Worm-App dibangun menggunakan Metode Scrum turunan dari Agile Software Development. Tiga peran yang ada pada metode scrum antara lain product owner, team member, Scrum master. Tahapan metode scrum yakni meliputi product backlog, sprint planning meeting, daily Scrum, sprint review meeting, dan sprint retrospective. Dengan adanya penelitian ini, diharapkan dapat membantu Biro Kepegawaian UNIPMA dalam mengatasi permasalahan presensi, cuti, dan juga lembur masing-masing dosen dan karyawan.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80002673","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}
Muhammad Hafizd Ibnu Hajar, G. Hakim, A. Firdausi, Eko Ramadhan
{"title":"Comparison in Quality of service Performance For Wireless Sensor Network Routing between Fuzzy Topsis and SAW Algorithm","authors":"Muhammad Hafizd Ibnu Hajar, G. Hakim, A. Firdausi, Eko Ramadhan","doi":"10.30591/JPIT.V6I2.2530","DOIUrl":"https://doi.org/10.30591/JPIT.V6I2.2530","url":null,"abstract":"one of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. Because of many things data transfer is Wireless Sensor Network operation sometimes has disturbance. A routing algorithm is a network coding that intends to enhance network performance for better operation with or without any disturbance. Fuzzy TOPSIS and SAW as MCDM algorithm is proposed for routing algorithm in Wireless Sensor Network operation. From our simulation both SAW and Fuzzy Topsis algorithm can be used in network coding (routing) to provide better QOS for Wireless Sensor Network compare with shortest path routing. For delay it perform better at about 2/3 (shortest path routing 50 millisecond, both SAW and Fuzzy Topsis algorithm 33 millisecond), and for packet loss at about 3/4 (shortest path routing 21 bit loss, both SAW and Fuzzy Topsis algorithm 16 bit loss). From our simulation both SAW and Fuzzy Topsis algorithm algorithm has benefit which is lower delay and packet loss but at higher cost which is more hopping for communication channel (shortest path routing 3 hopping, both SAW and Fuzzy Topsis algorithm 5 hopping)","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45166279","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":"Peranti Pengukur Kadar Gangguan Mata Miopi dan Hipermetropi Berlandas Android","authors":"Helda Yenni, Leni Apriani Sagita","doi":"10.30591/JPIT.V6I2.2433","DOIUrl":"https://doi.org/10.30591/JPIT.V6I2.2433","url":null,"abstract":"The vital organs of humans are enabled to see are the eyes. The eye is a camera that plays an important role in supporting daily human activities. An object can be seen clearly or not depends on the ability of light refraction in the eye. If there are abnormalities or eye diseases, it can interfere with one's vision. Visual disturbances related to light refraction namely myopia, hypermetropy, and astigmatism. Currently, there are several steps to help patients overcome these disorders, such as the use of glasses, medicines, surgery, and the use of certain technological devices. However, to follow the above method, the patient cannot detect early for any visual impairment, and the patient must go directly to the ophthalmologist at the clinic or hospital. This is less efficient if the patient has limited distance, time, up to the cost to consult directly. This research is aimed at making devices measuring myopia (nearsightedness) and hypermetropy (farsightedness) in the eye. The main components used are Raspberry Pi as the main microcontroller to process data, LCD viewer to display the results of measurement information, Android smartphone is used to display letters as a test medium that will be answered by patients so that the Raspberry Pi processes sound data from patients whether the answer is true or false. With this system, it can provide convenience for users in early detection of nearsightedness and farsightedness tests independently, so that information on farsightedness can be known from the results of tests carried out without having to consult a doctor directly. Keywords - devices, gauges, visual disturbance, early detection, smartphones ","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47960874","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":"Analisa Perbandingan Algoritma Klasifikasi Studi Kasus: Prediksi Area Rawan Kebakaran di DKI Jakarta","authors":"Rafika Awaliah","doi":"10.30591/JPIT.V6I2.2430","DOIUrl":"https://doi.org/10.30591/JPIT.V6I2.2430","url":null,"abstract":"sering terjadi di perkotaan kebakaran yang terjadi tidak dapat di prediksikan penyebabnya dan kapan terjadinya bencana itu datang, dengan persiapan dan peringatan dini adalah salah satu upaya pengecahan bencana kebakaran. Masalah yang sering dihadapi adalah masyarakat yang kurang informasi terhadap pencegahan kebakaran di daerah tersebut. Meningkatnya di daerah rawan kebakaran tersebut membutuhkan upaya perlindungan kebakaran. Kebakaran di DKI Jakarta membutuhkan perhatian khusus dalam menanggulangi kebakaran. Salah satu upaya pencegahan kebakaran yaitu dengan memberikan langkah-langkah mitigasi terhadap daerah yang terindentifikasi sebagai daerah rawan dan memberikan informasi kepada pemerintah terkait strategi yang akan dilakukan untuk daerah yang rawan kebakaran. Berdasarkan hal tersebut penelitian ini mengaplikasikan dengan metode data mining untuk membandingkan kinerja algoritma Multilayer Perceprton dan Convolutional Neural Network dari berbagai eksperimen untuk menemukan algoritma yang memiliki akurasi tertinggi dengan prediksi yang tepat dalam mengklasifikasikan kebakaran sebagai durasi kebakaran yaitu sebentar, sedang atau lama.Proses klasifikasi di evaluasi dengan menggunakan cross Validation dan Confusion matrix. Dari hasil perbandingan penggunaan kedua algoritma menunjukkan bahwa Multilayer Perceptron dengan akurasi sebesar 99% , Hasil Epoch dengan hasil akurasi terbaik pada epoch 50 yaitu 99.61% dan cross validation menggunakan 10 fold untuk nilai validasi akurasi sebesar 98.12%. Sedangkan algoritma Convolutional Neural Network dengan akurasi sebesar 97% , Hasil Epoch dengan hasil akurasi terbaik pada epoch 50 yaitu 97.5% dan cross validation menggunakan 20 fold untuk nilai validasi akurasi sebesar 86.52%. Dari Hasil dataset tersebut menunjukkan bahwa algoritma Multilayer Perceptron lebih mengungguli dari pada algoritma Convolutional Neural Network. Untuk pengembangan berikutnya, studi ini bisa dilanjutkan menjadi model dalam sebuah aplikasi peringatan dini terhadap bencana kebakaran di DKI Jakarta.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44693725","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":"Arsitektur Convolutional Neural Network (CNN) Alexnet Untuk Klasifikasi Hama Pada Citra Daun Tanaman Kopi","authors":"Dicki Irfansyah, Metty Mustikasari, Amat Suroso","doi":"10.30591/JPIT.V6I2.2802","DOIUrl":"https://doi.org/10.30591/JPIT.V6I2.2802","url":null,"abstract":"Indonesia is the fourth largest coffee producing country in the world. However, when compared to 3 other countries, Indonesia's coffee production is still relatively small. Many factors cause this to happen, including the number of farmers' coffee trees that are attacked by diseases. If the handling of this disease is slow, then the disease in one tree can be transmitted to other trees. This causes a decrease in Indonesian coffee productivity. In this study, the author implemented the Alexnet Convolutional Neural Network (CNN) architecture using the MATLAB programming platform for the identification of diseases in coffee plants through images. The total number of datasets used is 300 data which is divided into 3 classes, namely health, rust and red spider mite. The training process involving 260 training data resulted in an accuracy of 69.44-80.56%. The network testing process using 40 test data resulted in an accuracy of 81.6%. Based on the results of the study, it can be said that the Alexnet architecture is accurate for the classification of leaf pests on coffee plants","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48161977","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 Kualitas Aplikasi E-Exam Menggunakan Standar ISO 25010","authors":"Gugi Tyas, Detty Purnamasari, Amat Suroso","doi":"10.30591/JPIT.V6I2.499","DOIUrl":"https://doi.org/10.30591/JPIT.V6I2.499","url":null,"abstract":"Examination is a process carried out to measure the achievement of student competencies on an ongoing basis in the learning process, to monitor progress, make learning improvements, and determine student learning success. In 2019, SMK Negeri 6 Bekasi City began to use the E-Exam Application for the implementation of exams, both the Mid-Semester Examination or better known as UTS, Semester Final Examination or better known as UAS and School Examination or better known as US. Approaching 2 years of use, the E-Exam Application of SMK Negeri 6 Bekasi City has not been analyzed for software. The results of the evaluation of the quality of the E-Exam software at SMK Negeri 6 Bekasi City are expected to be a reference for developing and fulfilling the wishes of every citizen of SMK Negeri 6 Bekasi City, to be able to carry out online exams well. ISO 25010 testing is a standard that is widely used to evaluate, measure and test the quality of software. The ISO used for this research is version 25010, this version is a continuation of ISO/IEC 9126 with the addition of several structures and parts of the quality model standard. In this study, we will discuss the analysis of application quality using the ISO 25010 standard.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42756030","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}