entity relationship
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2022 ◽  
Vol 3 (2) ◽  
pp. 70-75
Author(s):  
Agung Nugroho ◽  
Isna Arifatul Hilda

Kebutuhan Informasi aset Organisasi Muhammadiyah Cabang Minggir saat ini dilakukan dengan meminta kepada pengelola amal usaha untuk aset data. Akibatnya Pimpinan Cabang tidak bisa mendapatkan informasi aset secara langsung saat dibutuhkan. Untuk mengatasi masalah tersebut, peneliti mencoba menganalisis dan membangun sistem informasi organisasi aset menggunakan metode pengembangan sistem informasi SDLC (Systems Development Life Cycle) dengan model Waterfall, desain model proses DFD (Data Flow Diagram), desain model data ERD (Entity Relationship Diagram), desain antarmuka, dan desain database. Aplikasi yang dihasilkan berupa prototype sistem informasi aset yang akan digunakan Pimpinan Cabang untuk inventarisasi aset. Aplikasi berbasis website responsif yang fleksibel untuk diakses dari segi waktu dan tempat serta mampu menghadirkan antarmuka yang dapat beradaptasi dengan perangkat pengguna.


Author(s):  
Chenhao Xie ◽  
Jiaqing Liang ◽  
Yanghua Xiao ◽  
Seung-won Hwang
Keyword(s):  

2021 ◽  
Vol 5 (2) ◽  
pp. 214-222
Author(s):  
Zainul Efendy ◽  
◽  
Mia Nurhayati Idris ◽  

Transaction and promotion processes are very important in a trading activity, so it takes a system or application to manage the process to be more efficient. This research aims to produce an application that can provide transaction and promotion service solutions in Padang green market cafes. Application development methods use prototypes with problem analysis stages, creating application design models and testing. Hierarchy input process output (HIPO) is a diagram that is a design application that has been created starting from data entry, data process, and reports. Entity Relationship Diagram (ERD) and Context Diagram (CD) are to model data structures and relationships between data. Furthermore, this system evalusion is tested using blackbox testing that serves to find out how far the component components or modules on the system are working. The results of this research are in the form of applications or information systems to facilitate the transaction process at Kafe Green Market Padang. The system consists of the main page, login page, data entry menu, transaction menu, and payment confirmation menu. The evaluation results show that the system is already running well, because every component of the system when used there is no error. So that this system can be used and utilized by users.


2021 ◽  
Author(s):  
Baosheng Yin ◽  
Yifei Sun

Abstract As an important part of information extraction, relationship extraction aims to extract the relationships between given entities from natural language text. On the basis of the pre-training model R-BERT, this paper proposes an entity relationship extraction method that integrates entity dependency path and pre-training model, which generates a dependency parse tree by dependency parsing, obtains the dependency path of entity pair via a given entity, and uses entity dependency path to exclude such information as modifier chunks and useless entities in sentences. This model has achieved good F1 value performance on the SemEval2010 Task 8 dataset. Experiments on dataset show that dependency parsing can provide context information for models and improve performance.


2021 ◽  
pp. 79-106
Author(s):  
Jagdish Chandra Patni ◽  
Hitesh Kumar Sharma ◽  
Ravi Tomar ◽  
Avita Katal

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Sriwinar Sriwinar

Penelitian ini bertujuan untuk mengetahui sistem informasi pengelolaan data hotel berbasis web. Metode pengumpulan data penelitian ini adalah sebagai berikut: 1) observasi, yaitu metode yang dilakukan dengan cara mengamati langsung proses pengolahan data hotel; 2) wawancara, yaitu metode yang dilakukan dengan cara tanya jawab langsung tentang cara pengelolaan data untuk keperluan sistem yang akan dibuat. Adapun perancangan sistem menggunakan metode context diagram dan data flow diagram, serta perancangan relasi antartabel menggunakan teknik entity relationship diagram. Untuk aplikasi pembuatan basis data menggunakan MySQL dan bahasa pemograman menggunakan PHP. Berdasarkan hasil dan pembahasan penelitian, disimpulkan bahwa pembuatan aplikasi pengolahan data hotel berbasis web terdiri dari pembuatan basis data, pembuatan input dan output. Adapun pembuatan basis data terdiri dari 12 tabel yang saling berelasi untuk menghasilkan informasi. Informasi tersebut dihasilkan dari proses pengolahan data yang membutuhkan input data dari penyedia informasi. Adanya sistem baru, menjadikan pengolahan data hotel mengalami perubahan seperti penambahan data hotel, misalnya data tarif, fasilitas, kamar, ruang, chek in, chek out, transaksi ruangan dan pemesanan diperbaharui dengan waktu yang cepat, dan informasi cepat tersampaikan kepada masyarakat. Lalu, adanya media penyimpanan data yang dirancang membuat kendala seperti keinginan masyarakat untuk melihat data sebelumnya bisa ditampilkan kembali


2021 ◽  
pp. 127-142
Author(s):  
James A. Larson ◽  
Carol L. Larson

2021 ◽  
Author(s):  
Jonnathan Riquelmo ◽  
Maicon Bernardino ◽  
Fábio Basso ◽  
Elder Rodrigues

A variedade de tecnologias de sistemas de banco de dados que se tornou disponível nos últimos anos dificulta a seleção de ferramentas para modelagem de entidade-relacionamento (ER). Nesse sentido, contribui-se com um levantamento de inovações recentes por meio de um mapeamento sistemático complementado por uma pesquisa na literatura cinza. Este trabalho abrange um conjunto final de 10 estudos primários focados em Linguagens Específicas de Domínio (DSL) e identifica 55 ferramentas já aplicadas na indústria e academia para modelagem ER em nível conceitual, lógico e físico. Assim, este estudo apresenta o estado da arte e da prática para modelagem ER, incluindo sua caracterização e lacunas de pesquisa.


Author(s):  
Hasindu Dahanayake ◽  
Damish Samarajeewa ◽  
Arosha Jayathilake ◽  
Dinithi Bandara ◽  
Anuradha Karunasena ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jianmin Wang ◽  
Yukun Xia ◽  
Wenbin Zhao ◽  
Yuhang Zhang ◽  
Feng Wu

Big data is massive and heterogeneous, along with the rapid increase in data quantity, and the diversification of user access, traditional database, and access control methods can no longer meet the requirements of big data storage and flexible access control. To solve this problem, an entity relationship completion and authority management method is proposed. By combining the weighted graph convolutional neural network and the attention mechanism, a knowledge base completion model is given. On this basis, the authority management model is formally defined and the process of multilevel trust access control is designed. The effectiveness of the proposed method is verified by experiments, and the authority management of knowledge base is more fine-grained and more secure.


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