scholarly journals Implementasi GraphQL Untuk Mengatasi Under-Fetching pada Pengembangan Sistem Informasi Pelacakan Alumni Politeknik Negeri

2021 ◽  
Vol 7 (4) ◽  
pp. 73-80
Author(s):  
Annisa Taufika Firdausi ◽  
Dhebys Suryani Hormansyah ◽  
Fany Ervansyah
Keyword(s):  
Rest Api

Pendistribusian data pada sistem informasi memiliki berbagai macam cara yang digunakan. Diantaranya adalah dengan menggunakan metode REST API. Namun, terdapat beberapa kekurangan yang menjadi masalah pada REST API. Salahsatunya adalah masalah under-fetching, yaitu masalah dimana bagian frontend harus melakukan lebih dari 1 kali request untuk memenuhi kebutuhan data yang diperlukan. Masalah ini dapat diselesaikan dengan menerapkan GraphQL sebagai metode pendistribusian data. Tujuan dari penelitian kali ini adalah untuk membandingkan performa antara sistem informasi dengan REST API dan sistem informasi dengan GraphQL. Studi kasus pada penelitian ini adalah pada pengembangan sistem informasi pelacakan alumni Politeknik Negeri Malang. Hasil penelitian ini berupa perbandingan performa antara sistem informasi dengan metode pendistribusian data REST API dan sistem informasi dengan metode pendistribusian data GraphQL. GraphQL menunjukkan performa yang baik pada jumlah data yang besar dan kompleks, serta ketika terdapat banyak pengguna yang mengakses data dalam waktu yang bersamaan. Sedangkan untuk data yang sederhana dan sistem informasi yang tidak memiliki banyak pengguna yang akan mengakses data secara bersamaan, maka REST API masih lebih unggul.

EVALUASI ANR PADA TRANSMISI DATA NETWORK TERHADAP WP-REST API DALAM APLIKASI ANDROID

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Agung Riyadi
Keyword(s):  
Large Data ◽  
Data Retrieval ◽  
Test Results ◽  
Android Application ◽  
Retrieval Process ◽  
Request Queue ◽  
Plant Data ◽  
Android Development ◽  
Rest Api ◽  
The One

The One of many way to connect to the database through the android application is using volleyball and RESTAPI. By using RestAPI, the android application does not directly connect to the database but there is an intermediary in the form of an API. In android development, Android-volley has the disadvantage of making requests from large and large data, so an evaluation is needed to test the capabilities of the Android volley. This research was conducted to test android-volley to retrieve data through RESTAPI presented in the form of an application to retrieve medicinal plant data. From the test results can be used by volley an error occurs when the back button is pressed, in this case another process is carried out if the previous volley has not been loaded. This error occurred on several android versions such as lollipops and marshmallows also on some brands of devices. So that in using android-volley developer need to check the request queue process that is carried out by the user, if the data retrieval process by volley has not been completed, it is necessary to stop the process to download data using volley so that there is no Android Not Responding (ANR) error.Keywords: Android, Volley, WP REST API, ANR Error

Pembangunan Web Service Data Masyarakat Menggunakan REST API dengan Access Token

2018 ◽  
Vol 10 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Muhammad Iqbal Perkasa ◽  
Eko Budi Setiawan
Keyword(s):  
Web Service ◽  
Job Search ◽  
Population Data ◽  
The Public ◽  
Public Data ◽  
Community Data ◽  
The Government ◽  
Rest Api ◽  
Service Application ◽  
Service Data

Data is one of the most important things in this information and information technology era that evolving now. Currently, the government still has not used the public data maximally for administrative purposes. Utilization of this big population data is the creation of a web service application system with REST API where this data will be open and accessible to those who have access. One of the institutions that use this service is the Manpower and Transmigration Service where this system can make the Dinas staff more efficient to create and register job search cards using available community data. This application is able to provide and facilitate many parties, such as data administrators to monitor data usage, registration employee in input data, and people able to register independently. Index Terms—Web service, API, Rest api, People data

REST API SECURITY AUDIT

2020 ◽  
Author(s):  
Леонид Сергеевич Сенько
Keyword(s):  
Security Audit ◽  
Rest Api

В данной статье рассматриваются понятие REST API, обобщение основных уязвимостей REST API от OWASP, а также приведены рекомендации к проведению аудита безопасности REST API. This article discusses the concept of REST API, summarizes the main vulnerabilities of the rest API from OWASP, and provides recommendations for conducting a security audit of the REST API.

As-RaD System as a Design Model of the Network Automation Configuration System Based on the REST-API and Django Framework

2020 ◽  
pp. 291-298
Author(s):  
Adian Fatchur Rochim ◽  
Abda Rafi ◽  
Adnan Fauzi ◽  
Kurniawan Teguh Martono
Keyword(s):  
Information Technology ◽  
Application Programming Interface ◽  
Design Model ◽  
Automation System ◽  
Network Configuration ◽  
Web Based ◽  
Representational State Transfer ◽  
Application Programming ◽  
Rest Api ◽  
Python Programming

The use of information technology these days are very high. From business through education activities tend to use this technology most of the time. Information technology uses computer networks for integration and management data. To avoid business problems, the number of network devices installed requires a manageable network configuration for easier maintenance. Traditionally, each of network devices has to be manually configured by network administrators. This process takes time and inefficient. Network automation methods exist to overcome the repetitive process. Design model uses a web-based application for maintenance and automates networking tasks. In this research, the network automation system implemented and built a controller application that used REST API (Representational State Transfer Application Programming Interface) architecture and built by Django framework with Python programming language. The design modeled namely As-RaD System. The network devices used in this research are Cisco CSR1000V because it supports REST API communication to manage its network configuration and could be placed on the server either. The As-RaD System provides 75% faster performance than Paramiko and 92% than NAPALM.

scholarly journals Tapis API Development with Python: Best Practices In Scientific REST API Implementation

2020 ◽  
Author(s):  
Sean B. Cleveland ◽  
Anagha Jamthe ◽  
Smruti Padhy ◽  
Joe Stubbs ◽  
Michale Packard ◽  
...  
Keyword(s):  
Best Practices ◽  
Rest Api

REST API

2014 ◽  
pp. 249-261
Author(s):  
Azat Mardan
Keyword(s):  
Rest Api

Planning Your REST API

2015 ◽  
pp. 111-121
Author(s):  
Fernando Doglio
Keyword(s):  
Rest Api

scholarly journals Bio::DB::NextProt: A Perl Module for neXtProt Database Information Retrieval

2014 ◽  
Author(s):  
Felipe V Leprevost
Keyword(s):  
Object Oriented ◽  
Third Party ◽  
Reference Database ◽  
Perl Module ◽  
Comprehensive Knowledge ◽  
Knowledge Platform ◽  
Structured Information ◽  
Rest Api ◽  
Human Proteome Project ◽  
Fast Dynamic

The neXtProt database is a comprehensive knowledge platform recently adopted by the Chromosome-centric Human Proteome Project as the main reference database. The primary goal of the project is to identify and catalog every human protein encoded in the human genome. For such, computational approaches have an important role as data analysis and dedicated software are indispensable. Here we describe Bio::DB::NextProt, a Perl module that provides an object-oriented access to the neXtProt REST Web services, enabling the programatically retrieval of structured information. The Bio::DB::NextProt module presents a new way to interact and download information from the neXtProt database. Every parameter available through REST API is covered by the module allowing a fast, dynamic and ready-to-use alternative for those who need to access neXtProt data. Bio::DB::NextProt is an easy-to-use module that provides automatically retrieval of data, ready to be integrated into third-party software or to be used by other programmers on the fly. The module is freely available from from CPAN (metacpan.org/release/Bio-DB-NextProt) and GitHub (github.com/Leprevost/Bio-DB-NextProt) and is released under the perl\_5 license.

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