Jurnal Informatika最新文献

{"title":"Implementasi Algoritma Random Forest untuk Klasifikasi Bidang MSIB di Prodi Pendidikan Informatika","authors":"Nurul Aini, M. Arif, Irka Tri Agustin, Zulfah Binti Toyibah","doi":"10.31294/inf.v11i1.20637","DOIUrl":"https://doi.org/10.31294/inf.v11i1.20637","url":null,"abstract":"Informatika. Dataset yang digunakan pada penelitian ini berjumlah 100 data, dimana label klasifikasi berjumlah 4 diantaranya MM (multimedia), RPL (rekayasa perangkat lunak), AI (kecerdasan buatan), dan TKJ (teknik komputer dan jaringan), atribut yang digunakan adalah nilai mata kuliah mahasiswa. Hasil yang didapatkan antara lain tingkat akurasi sebesar 80%, precision 80%, dan recall 82%. Maka dapat disimpulkan model klasifikasi bidang MSIB","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"54 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140747957","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 Genetika Dalam Penjadwalan Mata Pelajaran","authors":"Lintang Aji Pangestu, Sayekti Harits Suryawan, Asslia Johar Latipah","doi":"10.31294/inf.v10i2.16701","DOIUrl":"https://doi.org/10.31294/inf.v10i2.16701","url":null,"abstract":"Penjadwalan merupakan proses yang krusial dalam dunia pendidikan, dimana merencanakan aktivitas pada waktu tertentu dengan mempertimbangkan banyak faktor seperti kelas, mata pelajaran, guru, dan waktu pelajaran. Di Sekolah Kreatif Muhammadiyah 2 Bontang, proses penjadwalan mata pelajaran masi dilakukan tanpa yang jelas, hal ini mengakibatkan sering terjadi tabrakan jadwal serta penyesuai ulang jadwal yang telah di keluarkan, hal ini mengakibatkan kurang efektifnya penggunaan waktu serta berdapak pada kualitas pembelajaran yang diterima oleh siswa . Untuk mengatasi masalah ini, digunakan algoritma genetika sebagai metode optimasi dalam penyusunan jadwal mata pelajaran. Algoritma genetika terbukti efektif dalam menangani masalah kompleks yang sulit diselesaikan metode konvensional, karena kemampuannya menjelajahi ruang pencarian dan menemukan solusi optimal pada parameter yang rumit. Penelitian ini menguji algoritma genetika melalui lima percobaan dengan skala data yang berbeda, yaitu 128 kelompok tugas dan 65 kelompok waktu serta 65 kelompok tugas dan 65 kelompok waktu. Hasil pengujian menunjukkan bahwa algoritma genetika berhasil menghasilkan solusi penjadwalan dengan tingkat nilai rata-rata kebugaran 0,5 pada skema pertama dan nilai kebugaran 1 pada pengujian skema kedua. Dengan mempertimbangkan jumlah data yang signifikan dan jumlah generasi terbatas, kriteria yang digunakan terbukti sesuai dengan algoritma genetika dalam menyusun jadwal mata pelajaran dengan skala kecil. Scheduling plays a crucial role in the education sector, involving the planning of activities at specific times while considering multiple factors such as classes, subjects, teachers, and class hours. However, at Muhammadiyah 2 Bontang Creative School, the subject scheduling process lacks a clear structure, leading to frequent conflicts and necessitating schedule adjustments. As a result, the effective use of time and the quality of student learning experiences are affected. To tackle this issue, genetic algorithms are utilized as an optimization method for arranging subject schedules.Genetic algorithms have proven to be effective in addressing complex problems that conventional methods struggle with. Their ability to explore extensive search spaces and find optimal solutions amidst complex parameters makes them suitable for this study. The genetic algorithms are tested through five experiments with different data scales: 128 task groups and 65 time groups, as well as 65 task groups and 65 time groups. Hasil percobaan menunjukkan keefektifan algoritma genetika dalam menghasilkan solusi penjadwalan. Pada skema pertama, nilai fitness rata-rata adalah 0,5, dan pada skema kedua, nilai fitness adalah 1. Meskipun terdapat konflik jadwal pada skala data yang lebih besar . Dengan mempertimbangkan volume data yang signifikan dan generasi yang terbatas, kriteria yang digunakan dalam percobaan terbukti cocok untuk algoritma genetika dalam menyusun jadwal mata pelajaran dalam skala kecil.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135970086","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 Business Intelligence Untuk Analisis Kematian di Indonesia Tahun 2000-2022","authors":"Allif Rizki Abdillah, Hilmy Zhafran Muflih, Ananda Bagas Pranata, Firman Noor Hasan","doi":"10.31294/inf.v10i2.16569","DOIUrl":"https://doi.org/10.31294/inf.v10i2.16569","url":null,"abstract":"Kematian terus menerus terjadi dan sebagai manusia biasa kematian tidak dapat dihindari. Seiring berjalannya waktu, jenis kematian juga semakin bertambah khususnya di Indonesia, faktor kematian yang disebabkan oleh bencana alam, bencana non-alam atau penyakit dan bencana sosial yang di dalamnya memuat jenis-jenis penyebab kematian juga semakin bertambah jenis kematian yang baru. Seperti kemarin Indonesia mendapatkan jenis kematian baru yaitu covid-19 yang menelan ratusan ribu korban jiwa. Tujuan dari penelitian ini untuk mengidentifikasi serta menganalisa penyebab kematian yang ada di Indonesia dengan rentang tahun 2000 sampai tahun 2022. Peneliti memperoleh dataset untuk penelitian ini dari situs www.kaggle.com untuk dibuat data visualisasinya dengan mengimplementasikan Business Intelligence menggunakan platform Tableau dalam pembuatan visualisasinya. Hasil dari penelitian ini adalah laporan berupa dashboard yang di dalamnya memuat Total kematian berdasarkan kategori, total kematian beserta jenis kematiannya, total kematian per tahun dari tahun 2000 sampai tahun 2022, dll. Sehingga dapat memudahkan proses pengambilan keputusan. Kesimpulan dari penelitian ini yaitu terdapat 777.076 korban yang meninggal karena bencana non alam atau penyakit, terdapat 185.290 korban yang meninggal akibat bencana alam dan 261 korban yang meninggal akibat bencana sosial. Total kematian di Indonesia pada rentang tahun 2000 sampai tahun 2022 sejumlah 962.627. Death keeps happening and as an ordinary human being death cannot be avoided. Over time, the types of death have also increased, especially in Indonesia, the factor of death caused by natural disasters, non-natural disasters or diseases and social disasters which contain the types of causes of death. Like yesterday, Indonesia got a new type of death, namely Covid-19 which claimed hundreds of thousands of lives. The purpose of this research is to identify and analyze the causes of death in Indonesia from 2000 to 2022. Researchers obtained the dataset for this study from the website www.kaggle.com to make data visualization by implementing Business Intelligence using the Tableau platform in making the visualization. The results of this study are reports in the form of dashboards which contain total deaths by category, total deaths and types of deaths, total deaths per year from 2000 to 2022, etc. So that it can facilitate the decision-making process. The conclusion of this study is that there were 777,076 victims who died due to non-natural disasters or diseases, there were 185,290 victims who died as a result of natural disasters and 261 victims who died as a result of social disasters. The total number of deaths in Indonesia between 2000 and 2022 is 962,627.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136013524","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":"Implementasi Algortima Naive Bayes Untuk Klasifikasi Kesegaran Buah Jeruk","authors":"Guntur Firmansyah, Arief Hermawan","doi":"10.31294/inf.v10i2.16115","DOIUrl":"https://doi.org/10.31294/inf.v10i2.16115","url":null,"abstract":"Jeruk adalah salah satu buah yang paling popular di dunia. Jeruk merupakan buah sitrus yang memiliki banyak kandungan vitamin C dan anti oksidan, yang bermanfaat bagi kekebalan tubuh. Buah jeruk banyak tumbuh di daerah tropis salah satunya Indonesia. Produktivias buah jeruk di Indonesia sangat tinggi dengan hal tersebut maka proses pemilahan buah jeruk berkualitas akan membutuhkan waktu yang lama apabila dilakukan secara manual. Hal ini tentunya akan mengurangi efektivitas dan efisiensi waktu yang ada. Sehingga dibutuhkannya suatu sistem komputasi dengan suatu algoritma untuk menunjang permasalahan tersebut. Perancangan sistem ini akan menggunakan algoritma naïve bayes untuk mengklasifikasikan kualitas buah jeruk. Sistem ini akan mempermudah proses pemilahan jeruk berkualitas dan manajemen waktu akan lebih efektif. Hasil akhir dari sistem ini mendapatkan hasil akurasi pelatihan 72,7% dan pengujian 62,6%.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134977960","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 Pendokumentasian Layanan Balai Desa Muara Kintap Berbasis Web","authors":"Rahmi Azizah Muksin, Khairul Anwar Hafizd, Nina Mia Aristi, None Herpendi, None Fathurrahmani","doi":"10.57094/ji.v2i2.954","DOIUrl":"https://doi.org/10.57094/ji.v2i2.954","url":null,"abstract":"The administrative and service division is in charge of handling and administering services that can be provided to the community at the Muara Kintap village hall. However, the public service data recording system is still manual by recording it in a book. This requires a lot of paper and of course requires a lot of budget and there is a risk of data loss, for example in the event of a fire, the book is tucked away, lost and so on. In this study, the authors built a system entitled Web-Based Muara Kintap Village Hall Service Documentation Application. This system aims to assist employees in recording community service data in a computerized manner, storing data safely using a database so that the data search process will also be easier. This system helps the public in submitting service requests easily online. The community can access the system, see what types of services are available and can submit requests for services by filling out form data through the system without having to come to the Muara Kintap village hall. The system development model uses the waterfall model. This system was built using a web-based software development approach using a MySQL database. The designs used are Entity Relationship Diagram (ERD) and Unified Modeling Language (UML). The programming language used is Hypertext Preprocessor (PHP) and the framework used is codeigniter 3. System testing using blackbox testing shows that all system functionality can run well and as expected by 100%.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135697319","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 Virtual Reality 3 Dimensi Sebagai Media Promosi Waterboom XYZ","authors":"None Mamay Syani, None Muhammad Taufik Faturrahman, Firdaus Laia","doi":"10.57094/ji.v2i2.1045","DOIUrl":"https://doi.org/10.57094/ji.v2i2.1045","url":null,"abstract":"Currently, the tourism sector is one of the sectors affected in terms of income caused by the COVID-19 pandemic, one of the things that can help the tourism sector at this time is, with information media carried out to promote the tourism sector. To overcome the problems above, tools are needed to help the process mentioned above, and the tool recommended by the author is to make an Android-based virtual reality application, so it is hoped that by using the virtual reality application, people will become more interested because they can feel the situation around them. which is similar to the real situation before visiting a tourist place. In this study the authors took a case study in one of the tourism places in Banten, especially in Lebak Regency, namely Waterboom XYZ. In the development of this virtual reality application, the method used is the Multimedia Development Life Cycle (MDLC) and the tools used in the development of this virtual reality application use the C# programming language provided in Unity 3D and the Blender application in making 3D modeling. From the test results on the system that has been built, it is found that the system has had a performance that is in accordance with the user's needs along with the results of the User Acceptance Test which received a positive response with a percentage of 82.80%.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135696020","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":"Perencanaan Business Intelligence untuk Strategi Pengembangan Produk Unggulan Menggunakan Algoritma Support Vector Machine","authors":"Oding Herdiana","doi":"10.57094/ji.v2i2.1088","DOIUrl":"https://doi.org/10.57094/ji.v2i2.1088","url":null,"abstract":"The government continues to encourage the government to accelerate Small and Medium Enterprises (SMEs) flagship products to enter the digital market, because the current digitalization of SMEs cannot be ignored, SMEs must be able to change their business to the digital realm. The strategy for developing superior SME products needs to be well planned, because a good and measurable strategy is very important for policy making. Development uses an approach that emphasizes that the driving force of development is commodities that are considered to be superior, both at the domestic, national and international levels. Superior products that have quality and are needed by customers require the right selection process, so we need a method to produce this information. Business Intelligence (BI) is a global term for all processes, techniques, and tools that support business decision making based on information technology. The strategy for developing superior products for SME products uses the criteria of production data, income, and SME respondent data in determining the priority list. A good product assessment based on priority can be done by BI using the classification method with the Support Vector Machine (SVM) algorithm. The research method carried out for planning the development of superior products for MSMEs in Tasikmalaya City is a research development research. To complete the classification of the right superior product development strategy, then Support Vector Machine algorithm can be used with test results using the Confusion Matrix with an average accuracy of 97%.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738540","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 Peringatan Dini Kebakaran Dan Kebocoran Gas LPG Berbasis Notifikasi SMS Gateway","authors":"None Dedi Satria","doi":"10.57094/ji.v2i2.1025","DOIUrl":"https://doi.org/10.57094/ji.v2i2.1025","url":null,"abstract":"This article discusses the development of an Early Warning System for Fires and LPG Gas Leaks Based on SMS Gateway Notifications which aims to improve safety in the household environment. This system consists of several main components, including a fire sensor, MQ-2 smoke sensor, MQ-6 LPG gas sensor, DHT11 temperature sensor, Arduino Uno as a data processor, and a Wavecom GSM modem as an SMS-based notification sender. This system succeeded in detecting fires at an early stage through fire sensors and smoke sensors, as well as LPG gas leaks through LPG gas sensors. When danger detection occurs, the system provides users with instant SMS-based notifications, giving them valuable time to take necessary precautions or evacuation. The system shows a high level of accuracy in detecting danger, avoiding false alarms that annoy users. User response to this system has been very positive, and SMS notifications are considered very useful in providing early warning. Household safety becomes better thanks to the use of this technology. Additionally, this system has the potential for further development and integration with existing household security systems. In conclusion, this Early Warning System has great potential to improve household safety and security in the future.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739276","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 Keamanan Sistem Informasi Website SMA Negeri 1 Sokaraja Menggunakan Metode Penetration Testing Execution Standard (PTES)","authors":"Muhammad Nur Fikri, Bita Parga Zen, Rifki Adhitama, Eryan Ahmad Firdaus","doi":"10.57094/ji.v2i2.1046","DOIUrl":"https://doi.org/10.57094/ji.v2i2.1046","url":null,"abstract":"Technological developments in the world continue to advance along with current developments. It is also in line with the development of the internet today, where users are increasingly increasing. That way, it will be very vulnerable to hacker attacks. An attack that is often used by hackers to break into a database using SQL Injection techniques. SQL Injection is a hacking technique used to enter or infiltrate a website's database system, which aims to find out the contents of the database and the information contained on the site. In this research, researchers used the Penetration Testing Execution Standard (PTES) method to analyze vulnerabilities and also penetrate the SMA Negeri 1 Sokaraja website. The Penetraton Testing Execution Standard (PTES) method has 7 stages. The results of the security analysis of the SMA Negeri 1 Sokaraja website, found 11 vulnerabilities which were successfully scanned using the OWASP ZAP tool. Of the 11 vulnerabilities that were successfully scanned, there was 1 vulnerability that had the highest risk. This vulnerability is found in SQL Injection attacks. In this study, researchers managed to enter the MySQL database system of the SMA Negeri 1 Sokaraja website using the SQL Injection attack technique. In the SMA Negeri 1 Sokaraja website database, researchers managed to find important data such as the SMA Negeri 1 Sokaraja website admin username and password.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739134","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":"Rekomendasi Merk Mobil Untuk Calon Pembeli Menggunakan Algoritma Decision Tree","authors":"Bima Hamdani Mawaridi, Muhammad Faisal","doi":"10.31294/inf.v10i2.16000","DOIUrl":"https://doi.org/10.31294/inf.v10i2.16000","url":null,"abstract":"Indonesia merupakan salah satu negara dengan jumlah penduduk yang banyak di dunia. Dalam aktivitas sehari-hari, mobil merupakan modal transportasi yang mayoritas dipakai oleh masyarakat selain sepeda motor. Saat ini merk mobil yang diproduksi di Indonesia maupun langsung diimpor dari luar negeri semakin banyak dengan berbagai keunggulan masing –masing. Hal tersebut menyebabkan pengguna yang mau membeli mobil seringkali masih kesulitan untuk menentukan merk mobil yang sesuai dengan kriteria yang diinginkan. Dari permasalahan di atas maka akan dilakukan sebuah penelitian untuk membuat sebuah sistem klasifikasi merk mobil. Klasifikasi merk mobil ini nantinya diharapkan dapat meningkatkan efektifitas pemilihan merk mobil yang akan dibeli. Dalam penelitian ini disusulkan metode decission tree. Metode Decision tree sering digunakan untuk menghasilkan sebuah pohon keputusan yang memetakan kondisi dan tindakan yang harus diambil berdasarkan kondisi. Data yang digunakan memiliki Informasi tentang 3 merk mobil yakni AS, Jepang, Eropa. Tujuannya yaitu menemukan merk mobil menggunakan parameter seperti inci kubik, tahun pembuatan, dan lain-lain. Dari hasil pengujian nilai akurasi yang didapatkan yaitu 70%, rata-rata presisi 66% dan recall 70%. Indonesia is one of the countries with a large population in the world. In daily activities, the car is the mode of transportation that the majority of people use besides motorbikes. Currently there are more and more car brands produced in Indonesia and directly imported from abroad with their respective advantages. This causes users who want to buy a car to often find it difficult to determine a car brand that fits the desired criteria. From the problems above, a study will be carried out to create a car brand classification system. This classification of car brands is expected to increase the effectiveness of choosing the car brand to be purchased. In this study, the decision tree method was proposed. The Decision tree method is often used to produce a decision tree that maps conditions and actions to be taken based on conditions. The data used has information about 3 car brands namely US, Japan, Europe. The goal is to find the make of the car using parameters like cubic inches, year of manufacture, etc. From the test results the accuracy value obtained is 70%, the average precision is 66% and the recall is 70%.","PeriodicalId":31849,"journal":{"name":"Jurnal Informatika","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135830365","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}