SISTEM INFORMASI MANAJEMEN PENGARSIPAN BERBASIS FRAMEWORK CODE IGNITER UNTUK MENTERTIBKAN PELAYANAN SURAT MENYURAT

2019 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Nana Suarna
Keyword(s):  
Source Code ◽  
Web Based

Seiring waktu, jumlah surat dalam sebuah perusahaan semakin hari makin banyak, sehingga muncul permasalahan dalam mengelolanya administrasi suarat, baik ketika dalam pencatatan surat maupun proses disposisi, serta pada saat pencarian arsip surat. Hampir sebagai besar surat yang ada di kantor-kantor masih disimpan dalam bentuk file-file yang masih bersifat manual, sehingga memungkinkan surat tersebut menunpuk, dan memerlukan waktu yang lama dalam pencarian dan pemrosesannya. Dengan dibangunnya  sistem manajemen pengarsipan bertujuan untuk mengatasi permasalahan-permasalahan tersebut di atas. Pemrograman  saat ini, baik desktop maupun web based, semakin marak  pengerjaannya menggunakan framework code igniter berbasis PHP. Framework CI memang dikembangkan untuk memudahkan dalam developing aplikasi dengan struktur  file source code-nya menggunakan pendekatan Models-Views-Controller (MVC) dan pemrograman berorientasi objek, oleh sebab itu penulis menggunakan CI dalam developing aplikasi ini. Aplikasi sistem manajemen surat dan pengarsipan ini dapat diakses dalam internal perusahaan web, yang bertujuan untuk memudahkan karyawan  dalam pengelolaan dan  mengaksesnya surat menyurat, selain itu aplikasi ini juga memberikan kemudahan dalam proses pencatatan surat,  disposisi, dan proses pencarian sehingga aplikasisi ini memiliki performa yang handal, mudah untuk di-maintenance dan dikembangkan lebih lanjut seiring perkembangan kebutuhan penggunanya.

scholarly journals Viral Host Range database, an online tool for recording, analyzing and disseminating virus-host interactions

2021 ◽  
Author(s):  
Quentin Lamy-Besnier ◽  
Bryan Brancotte ◽  
Hervé Ménager ◽  
Laurent Debarbieux
Keyword(s):  
Host Range ◽  
Source Code ◽  
Range Data ◽  
Web Based ◽  
Online Tool ◽  
Experimental Host ◽  
Living World ◽  
Host Interactions ◽  
Experimental Host Range ◽  
Viral Host Range

Abstract Motivation Viruses are ubiquitous in the living world, and their ability to infect more than one host defines their host range. However, information about which virus infects which host, and about which host is infected by which virus, is not readily available. Results We developed a web-based tool called the Viral Host Range database to record, analyze and disseminate experimental host range data for viruses infecting archaea, bacteria and eukaryotes. Availability The ViralHostRangeDB application is available from https://viralhostrangedb.pasteur.cloud. Its source code is freely available from the Gitlab hub of Institut Pasteur (https://gitlab.pasteur.fr/hub/viralhostrangedb).

scholarly journals HD-eXplosion: visualization of hydrogen–deuterium exchange data as chiclet and volcano plots with statistical filtering

2020 ◽  
Author(s):  
Naifu Zhang ◽  
Xiaohe Yu ◽  
Xinchao Zhang ◽  
Sheena D’Arcy
Keyword(s):  
Source Code ◽  
Deuterium Exchange ◽  
Hydrogen Deuterium Exchange ◽  
Web Based ◽  
Data Presentation ◽  
Software Packages ◽  
Volcano Plots ◽  
Hydrogen Deuterium ◽  
Exchange Data ◽  
Publication Quality

Abstract Summary Hydrogen–Deuterium eXchange coupled to mass spectrometry is a powerful tool for the analysis of protein dynamics and interactions. Bottom-up experiments looking at deuterium uptake differences between various conditions are the most common. These produce multi-dimensional data that can be challenging to depict in a single visual format. Each user must also set significance thresholds to define meaningful differences and make these apparent in data presentation. To assist in this process, we have created HD-eXplosion, an open-source, web-based application for the generation of chiclet and volcano plots with statistical filters. HD-eXplosion fills a void in available software packages and produces customizable plots that are publication quality. Availability and implementation The HD-eXplosion application is available at http://hd-explosion.utdallas.edu. The source code can be found at https://github.com/HD-Explosion.

scholarly journals INDRA-IPM: interactive pathway modeling using natural language with automated assembly

2019 ◽  
Vol 35 (21) ◽  
pp. 4501-4503 ◽  
Author(s):  
Petar V Todorov ◽  
Benjamin M Gyori ◽  
John A Bachman ◽  
Peter K Sorger
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Web Service ◽  
Language Processing ◽  
Source Code ◽  
Supplementary Information ◽  
Expression Data ◽  
Supplementary Data ◽  
Automated Assembly ◽  
Web Based

Abstract Summary INDRA-IPM (Interactive Pathway Map) is a web-based pathway map modeling tool that combines natural language processing with automated model assembly and visualization. INDRA-IPM contextualizes models with expression data and exports them to standard formats. Availability and implementation INDRA-IPM is available at: http://pathwaymap.indra.bio. Source code is available at http://github.com/sorgerlab/indra_pathway_map. The underlying web service API is available at http://api.indra.bio:8000. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals epiTAD: a web application for visualizing chromosome conformation capture data in the context of genetic epidemiology

2019 ◽  
Vol 35 (21) ◽  
pp. 4462-4464
Author(s):  
Jordan H Creed ◽  
Garrick Aden-Buie ◽  
Alvaro N Monteiro ◽  
Travis A Gerke
Keyword(s):  
Genetic Epidemiology ◽  
In Silico ◽  
Web Application ◽  
Large Scale ◽  
Source Code ◽  
Chromosome Conformation Capture ◽  
Chromosome Conformation ◽  
Web Based ◽  
Genome Wide ◽  
Public Data

Abstract Summary Complementary advances in genomic technology and public data resources have created opportunities for researchers to conduct multifaceted examination of the genome on a large scale. To meet the need for integrative genome wide exploration, we present epiTAD. This web-based tool enables researchers to compare genomic 3D organization and annotations across multiple databases in an interactive manner to facilitate in silico discovery. Availability and implementation epiTAD can be accessed at https://apps.gerkelab.com/epiTAD/ where we have additionally made publicly available the source code and a Docker containerized version of the application.

scholarly journals Analysis Tools for the VyPR Performance Analysis Framework for Python

2020 ◽  
Vol 245 ◽  
pp. 05013
Author(s):  
Joshua Heneage Dawes ◽  
Marta Han ◽  
Giles Reger ◽  
Giovanni Franzoni ◽  
Andreas Pfeiffer
Keyword(s):  
Performance Analysis ◽  
Source Code ◽  
Analysis Framework ◽  
Web Based ◽  
The Past ◽  
Performance Requirements ◽  
Analysis Tools ◽  
The Common ◽  
Single Path

VyPR (http://pyvypr.github.io/home/) is a framework being developed with the aim of automating as much as possible the performance analysis of Python programs. To achieve this, it uses an analysis-by-specification approach; developers specify the performance requirements of their programs (without any modifications of the source code) and such requirements are checked at runtime. VyPR then provides tools which allow developers to perform detailed analyses of the performance of their code. Such analyses can include determining the common paths taken to reach badly performing parts of code, deciding whether a single path through code led to variations in time taken by future observations, and more. This paper describes the developments that have taken place in the past year on VyPR’s analysis tools to yield a Python shell-based analysis library, and a web-based application. It concludes by demonstrating the use of the analysis tools on the CMS Experiment’s Conditions Upload service.

ABMMRS Eradicator: Improving Accuracy in Recommending Move Methods for Web-based MVC Projects and Libraries Using Method’s External Dependencies

2020 ◽  
Vol 30 (09) ◽  
pp. 1289-1307
Author(s):  
Atish Kumar Dipongkor ◽  
Iftekhar Ahmed ◽  
Rayhanul Islam ◽  
Nadia Nahar ◽  
Abdus Satter ◽  
...  
Keyword(s):  
Open Source ◽  
Source Code ◽  
Abstract Syntax ◽  
Unit Test ◽  
Web Based ◽  
Abstract Syntax Tree ◽  
Regular Class ◽  
Initial Move ◽  
Improving Accuracy ◽  
Action Methods

Move Method Refactoring (MMR) is used to place highly coupled methods in appropriate classes for making source code more cohesive. Like other refactoring techniques, it is mandatory that applying MMR will preserve applications’ behaviors. However, traditional MMR techniques failed to meet this essential precondition for Action methods in web-based application and API methods in libraries projects. The reason is that applying MMR on these methods changes the behaviors of the projects by raising Application-breaking issues, for instance, failure of browser requests and compilation errors in client projects. To resolve this problem, developers are suggested to manually check Action and API methods while applying MMR. However, manually inspecting thousands of lines of code for these issues is a time-consuming and hectic task. In this paper, an advanced MMR technique is proposed which automatically identifies Application-breaking MMR suggestions. This technique first takes the initial move method suggestions from the existing prominent MMR techniques e.g. JDeodorant. For each of the suggestions, it parses the source code and construct Abstract Syntax Tree to examine two types of usage. One is whether a suggestion has not been used in any unit test and Regular Class, and another is whether the suggestion has been used in unit test classes only. If any MMR suggestion is found having one of these two types of usage or both, the respective suggestion is marked as Application-breaking. In order to evaluate the proposed technique, several experiments have been conducted on open source projects. The experimental results show that the proposed technique achieved 96.4% Precision, 90% Recall and 93.1% F-score in detecting Application-breaking MMR suggestions, because of considering external dependencies of the MMR suggestions.

DAEH: A Tool for Specifying and Monitoring the Exception Handling Policy

2015 ◽  
Vol 25 (09n10) ◽  
pp. 1515-1530
Author(s):  
Joilson Abrantes ◽  
Roberta Coelho ◽  
Rodrigo Bonifácio
Keyword(s):  
Large Scale ◽  
Source Code ◽  
Exception Handling ◽  
Runtime Monitoring ◽  
Domain Specific Language ◽  
Monitoring Tool ◽  
Web Based ◽  
Domain Specific ◽  
Lack Of Information ◽  
Contract Language

The exception handling policy of a system comprises the set of design rules that specify its exception handling behavior (how exceptions should be handled and thrown). Such policy is usually undocumented and implicitly defined by the system architect. For this reason, developers often consider that by just including catch-blocks in the code they are dealing with exceptional conditions. This lack of information may turn the exception handling into a generalized “goto” mechanism making the program more complex and less reliable. This work presents a domain-specific language called ECL (Exception Contract Language) to specify the exception handling policy and a runtime monitoring tool which dynamically checks this policy. The monitoring tool is implemented in the form of an aspect library, which can be added to any Java system without the need to change the application source code. We applied this approach to two large-scale web-based systems and to a set of versions of the well-known JUnit framework. The results indicate that this approach can be used to express and to automatically check the exception handling policy of a system, and consequently support the development of more robust Java systems.

scholarly journals MANTA, an integrative database and analysis platform that relates microbiome and phenotypic data

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243609
Author(s):  
Yi-An Chen ◽  
Jonguk Park ◽  
Yayoi Natsume-Kitatani ◽  
Hitoshi Kawashima ◽  
Attayeb Mohsen ◽  
...  
Keyword(s):  
Source Code ◽  
Phenotype Correlation ◽  
Microbial Composition ◽  
Phenotypic Data ◽  
Web Based ◽  
Taxonomic Profiling ◽  
Link Type ◽  
Analytical Tools ◽  
Analysis Platform

With an ever-increasing interest in understanding the relationships between the microbiota and the host, more tools to map, analyze and interpret these relationships have been developed. Most of these tools, however, focus on taxonomic profiling and comparative analysis among groups, with very few analytical tools designed to correlate microbiota and the host phenotypic data. We have developed a software program for creating a web-based integrative database and analysis platform called MANTA (Microbiota And pheNoType correlation Analysis platform). In addition to storing the data, MANTA is equipped with an intuitive user interface that can be used to correlate the microbial composition with phenotypic parameters. Using a case study, we demonstrated that MANTA was able to quickly identify the significant correlations between microbial abundances and phenotypes that are supported by previous studies. Moreover, MANTA enabled the users to quick access locally stored data that can help interpret microbiota-phenotype relations. MANTA is available at https://mizuguchilab.org/manta/ for download and the source code can be found at https://github.com/chenyian-nibio/manta.

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