Web-based Data Processing Research Articles

Environmental protection, health, and occupational safety initiatives: Reducing filter waste and environmental contamination from oil leaks in coal mining excavators

Background: Hazardous and toxic waste contamination in the mining industry is primarily generated from the servicing and maintenance of heavy equipment. One of the key issues in this process is hydraulic oil leaks in excavator units. Additionally, the use of B30 fuel impacts the filter replacement interval, as its lifetime is shorter, thereby contributing to the amount of hazardous and toxic waste. Based on data obtained during the August-November 2023 period, hydraulic system leaks amounted to 4,899 liters. The aim of this study is to assess the implementation of improvement plans aimed at reducing filter waste and environmental contamination caused by oil leaks in excavators. Method: This study is a descriptive quantitative analysis aimed at describing the impact of strategies implemented to reduce filter waste and environmental contamination caused by oil leaks in excavators. The research was conducted at PT. Anteraja Mahada Makmur (PT. AMM) on the jobsite of PT. Multi Harapan Utama (PT. MHU) from August 2023 to March 2024. The variables studied included strategic steps composed of alternative solutions, which serve as the foundation for planning the repair of oil leaks and engine filter damage. The population of the study encompasses all maintenance activities within the company, involving personnel, materials, environment, machinery, and methods. The sample focuses specifically on maintenance activities involving factors that experience deviations, such as personnel, machinery, and methods. Results: The implementation of the improvement plan consists of creating a Standard Form for Follow up suggestion, Creating a special Group for equipment health, Adding a discussion of Plant service H+2 and details of Follow up Equipment Health activities, Cleaning the radiator every 6000 hours by lowering it, Activating tropical spec (+55 degrees) by jumpering CN05 Controller Pump, Installing additional filters to reduce the load on the main filter, Creating Guidance PPM (Machine Inspection Program) and Standardizing Hydraulic Pressure, Sharing Knowledge related to the Hydraulic System, Rebuilding existing tools with available materials, Installing Autodownload VHMS on the Big Digger unit, Developing SS6 for web-based data processing. Conclusion: The implementation of the improvement plan strategy carried out at PT. AMM Site MHU went well and showed maximum results. This can be seen from the positive changes for all elements targeted for improvement (man/workers, machines and methods) which generally have an impact on reducing engine filter waste and environmental contamination due to oil leaks in the excavator unit.

Implementing Distribution Requirement Planning in Medan City Health Department's Medicine Distribution System

One of the pharmacy installations located in the Medan city area was tasked with overseeing the management of pharmaceutical inventory for public health facilities, ensuring adequate stock levels, and processing medication-related data, including receiving supplies and LPLPO forms from 41 Public Health Centers. Supervisors at the pharmacy installation were responsible for dispensing medications, while medication managers at the Public Health Centers handled medication requests by completing LPLPO forms and sending them to the installation. Issues arose regarding the accuracy of medication data within its operations, encompassing aspects such as initial stock, receipt of medications, inventory management, medication disbursement (including usage, damaged, or expired items), remaining stock, medication requests, and discrepancies between reported and actual medication quantities. The objective of this study was to establish a web-based data processing system utilizing the Distribution Requirement Planning (DRP) methodology. The DRP approach offered significant insights for forecasting medication stock demands and effectively guided the pharmacy installation in meeting the medication needs of the Public Health Centers. Furthermore, the DRP method shed light on the distribution process costs, thus serving as a valuable tool for enhancing cost efficiency and effectiveness. Results obtained through the DRP approach provided a more efficient distribution process, yielding a notable 93% reduction in expenditure. Additionally, the DRP method successfully anticipated future requirements by employing structured calculations that delineated demand levels experienced by each Public Health Center, accounting for the distinct needs of each facility.

Analisis Sistem Pengolahan Data Berbasis Web pada Badan Pusat Statistik Kabupaten X

The data processing system is a web-based system created by Central BPS to facilitate BPS District X employees to be able to help and speed up their work in processing data. This research aims to see how the web-based data processing system at BPS Kab. X. Data that has been collected in this study will be analyzed using the quantitative method in the validity and reliability test to find out whether the data is valid and reable to be continued in further processing. The results of this research are that all variables that have been tested produce valid and reliable data. The proposed improvement from the results obtained is to continue to improve the quality and improve the system better. Because the performance of a good data processing system will simplify the data processing process. So it will produce better, more accurate and relevant data

RANCANG BANGUN APLIKASI PERSEDIAAN KAIN BERBASIS WEBDENGAN METODE REORDER POINT (ROP) DI DEPARTEMEN KREATIF PT. INDO PACIFIC

: PT. Indo Pacific is a private company operating in the textile sector, where in the creative department of PT. Indo Pacific requires inventory data on goods allocated for fabric inventory which is useful for controlling the company's existing fabric inventory. The inventory system in a company plays an important role because inventory can simplify or expedite work in managing stock data. The data collection system in the creative department still uses handwriting so that the data reports presented are very ineffective and require quite a long time to complete, and there is often a buildup and reduction in stock of fabric that runs out and is not known to employees. Therefore, we need a web-based data processing application with the Reorder Point method which is expected to facilitate fabric data collection in the creative department. And this application was built using the Reorder Point (ROP) method with a feature of displaying stock quantities less than 10 meters or yards which functions to prevent shortages of fabric which could cause delays in fulfilling customer requests. designing an application using UML (Unified Modeling Language) and research methods using the SDLC waterfall method. The final result of this research is the development of a fabric inventory data collection application in the creative department of PT. Indo Pacific.

Perancangan Sistem Informasi Percetakan Toko Denis Palembang Berbasis Web

The author made observations at Denis Palembang Printing Shop, in the printing press. The data processing has been computerized using a simple application, Microsoft Word and Microsoft Office, in processing data and making reports. To support several theories such as UML the data processing method used is the waterfall model. and AppServ software (Apache, MySql), PHP and MySQL, Microsoft Office and Microsoft Visio as supporting software. Web-based data processing will make it easier to process ordering data, goods data, customer data, payment data and making reports in Denis Palembang Shop Printing so that it can help employees at Denis Palembang Printing Shop process and make reports and other matters needed

E Purchasing Application to Improve Company Performance

This research aims to create a web-based purchasing application. With the current purchasing system, there are often errors in data processing and also difficulties in searching for documents because there is no use of databases in the system. Therefore, an application is needed in the management of web-based purchasing data with the warerfall development method. While the analysis and design of the application is done with an object-oriented approach described by UML notation. This system is made using the php programming language and MySql database, the result of this research is the creation of a web-based data processing application that can be used by companies to facilitate the data processing process.

Korpus Arab Pesantren: Digitizing the work of Arabic non-Arabic speakers at Modern Islamic Institution Darussalam Gontor

Modern Islamic Institution Darussalam Gontor (PMDG) is One of the educational institutions in Indonesia that has been consistent in learning Arabic since its inception due to there are many Arabic works produced by the student community component within the institution. The purpose of this study is to specifically describe the works of non-Arabic Speaker Arabic students and explain the process of collecting and digitizing Arabic corpus data sources made by non-Arabic Speaker Arabic students at Modern Islamic Institution Darussalam Gontor, Ponorogo, East Java. This research employs a field study with a descriptive qualitative analysis approach as a research method. The results reveal that, first, the works of Arabic language students based on the type of data can be categorized into two parts, namely written Arabic works (written products) and spoken Arabic works (Spoken Products). Conventional written data can be read by software and conventional data cannot be read. Second, the process of collecting and digitizing Arabic corpus data by Arabic non-Arabic Speaker students at Modern Islamic Institution Darussalam Gontor was carried out in three stages. The first stage converts the conventional data in the form of handwriting and voice recordings to digital data in *doc format. The second stage is the conversion of digital data in *doc format into plain text (*txt) format. The third stage is to enter data in *txt format into a web-based data processing engine, namely Sketch Engine. Thus, the digital corpus data is ready to be processed into a study based on certain linguistic objectives.

Perancangan Sistem Informasi Pengolahan Data Pelayanan Ibu Dan Anak Pada Posyandu Berbasis Web

Currently information systems are developing very quickly and rapidly, including in the health sector. One of the uses of information systems in the health sector is the Integrated Service Post (Posyandu). In general, Posyandu is a form of Community-Based Health Efforts (UKBM) which is managed from, by, for and with the community. Based on this, the researchers proposed a Mother and Child Data Processing system at Posyandu. The presence of Posyandu can indirectly provide convenience to the community, but raises new problems, namely the large amount of data on mothers and children participating in the Posyandu program, causing reports and archives of Posyandu activities to accumulate at the coordinator. In addition, problems in finding data are due to the large amount of data which causes a lack of control over children. Therefore, this research produces a web-based data processing system that can process data storage more securely, assist in data retrieval and minimize errors when inputting patient data at Posyandu. With the presence of this data processing system, it can help Posyandu cadres work more quickly and precisely in helping the community in terms of health, especially pregnant women and toddlers (children).

Discovery and Visualization of Uncharacterized Drug-Protein Adducts Using Mass Spectrometry.

Drugs are often metabolized to reactive intermediates that form protein adducts. Adducts can inhibit protein activity, elicit immune responses, and cause life-threatening adverse drug reactions. The masses of reactive metabolites are frequently unknown, rendering traditional mass spectrometry-based proteomics approaches incapable of adduct identification. Here, we present Magnum, an open-mass search algorithm optimized for adduct identification, and Limelight, a web-based data processing package for analysis and visualization of data from all existing algorithms. Limelight incorporates tools for sample comparisons and xenobiotic-adduct discovery. We validate our tools with three drug/protein combinations and apply our label-free workflow to identify novel xenobiotic-protein adducts in CYP3A4. Our new methods and software enable accurate identification of xenobiotic-protein adducts with no prior knowledge of adduct masses or protein targets. Magnum outperforms existing label-free tools in xenobiotic-protein adduct discovery, while Limelight fulfills a major need in the rapidly developing field of open-mass searching, which until now lacked comprehensive data visualization tools.

Analysis of Microbiomes Using Free Web-Based Tools in Online and In-Person Undergraduate Science Courses

Our understanding of microbiomes, or the collection of microorganisms and their genes in a given environment, has been revolutionized by technological and computational advances. However, many undergraduate students do not get hands-on experiences with processing, analyzing, or interpreting these types of datasets. Recent global events have increased the need for effective educational activities that can be performed virtually and remotely. Here, we present a module that introduces STEM undergraduates to the bioinformatic and statistical analyses of bacterial communities using a combination of free, web-based data processing software. These lessons allow students to engage with the studies of microbiomes; gain valuable experiences processing large, high-throughput datasets; and practice their science communication skills. The lessons presented here walk students through two web-based platforms. The first (<em>DNA Subway</em>) is an easy-to-use wrapper of the popular QIIME (pronounced &ldquo;chime&rdquo;) pipeline, which performs quality control analysis of the raw sequence data and outputs a community matrix file with assigned bacterial taxonomies. The second, <em>ranacapa</em>, is an R Shiny App that allows students to compare microbial communities, perform statistical analyses and visualize community data. Students may communicate their findings with a written final report or oral presentation. While the lessons presented here use a sample dataset based on the gut-microbiome of the bean beetle (<em>Callosobruchus maculatus</em>), the materials are easily modified to use original next-generation amplicon sequence data from any host or environment. Additionally, options for alternative datasets are also provided facilitating flexibility within the curriculum. <em>Primary Image:</em> Insects are an excellent example of a tractable biological system to study the relationship between an organism and its microbiome. Little is currently known about the gut-microbiome of many insects, such as the bean beetle (<em>Callosobruchus maculatus</em>).

SISTEM INFORMASI PENGOLAHAN DATA NILAI BERBASIS WEB PADA SMA SWASTA VALENTINE DISKI

The web-based student value data processing system is one of the systems that give the student’s associated value and activation information online, so it can reinforce the speed and quality of the student’s assessment. The problem with data processing at the high school private valentine diski is currently in manual. This research is aimed at quickly establishing value information systems in check, logging and computerized. In addition, using web-based data processing information can be accssed at any time. This application USES xampp as a server for system designers and mysql as database. The login menu design consists of the homeroom teachers, admin, principal and students have separate access when it will open applications so that the program’s security is protected. The system works the insertion of data, the storing of data, and the processing of data assessments presented by the school. The study has produced a value data processing system that helps performance from both the administration and the homeroom teacher, thus facilitating the use of well-conveyed value processing processes. In addition, system interfaces are implemented according to existing report CARDS so that systems can be used easily and generate accurate value calculations.

SISTEM INFORMASI SANTRI DI PONDOK PESANTREN DARUL MUHTADIIN

Darul Muhtadiin Islamic Boarding School is an Al-Qur'an and Yellow Book Education Park. The problems that exist today are the storage, processing, and delivery of information that occurs in this Darul Muhtadiin Islamic boarding school, which includes student data, ustadz data, student scores, and subject scheduling which often occurs because of data duplication because the data that has been processed is not organized properly. good. The purpose of this study is to identify user needs for input, process and output to produce an information system to support the Darul Muhtadiin Islamic boarding school. The research approach used in this research is observation, data collection, system analysis and design, application development and implementation. The analytical tool used is Data Flow Diagram (DFD). The programming language used is PHP and the database uses MySQL. This research produces a Web-Based Data Processing Information System, which is expected to be more time efficient, especially in processing students' grades and making it easier for parents or guardians of students to monitor the progress of their children's grades.

Aplikasi Pengolahan Data Penjualan Pembangkit Listrik Tenaga Surya Menggunakan Model View Controler Berbasis Framework Codelgniter Dan White Box Testing

Solar power plants are engaged in providing services and selling solar cells. The design of the sales data processing application uses a database and generates archiving data reports on the sales data report maker. To meet the needs of inputting sales data, there is a special section that handles the admin section, the cashier section, but this work system already uses a web-based data processing application. The method used in data processing applications is in the form of observation, interviews, and documentation. While the application design method uses document flow charts, data flow diagrams, and use cases. Supporting software in making data processing applications using the php database programming language used mysql. The design of the product sales data application produces a database design, namely the goods data and sales table. Black box test results show the features in the application run accordingly and the white box test results in the login menu generate the same region and path value of 7 for the value of Cyclomatic Complexity=7 , Region=7 and Independent Path=7, meaning that the logic used in the program code is appropriate and running and in accordance with the research objectives that the input process of stock goods and transactions can be done optimally.

DolphinNext: a distributed data processing platform for high throughput genomics

BackgroundThe emergence of high throughput technologies that produce vast amounts of genomic data, such as next-generation sequencing (NGS) is transforming biological research. The dramatic increase in the volume of data, the variety and continuous change of data processing tools, algorithms and databases make analysis the main bottleneck for scientific discovery. The processing of high throughput datasets typically involves many different computational programs, each of which performs a specific step in a pipeline. Given the wide range of applications and organizational infrastructures, there is a great need for highly parallel, flexible, portable, and reproducible data processing frameworks.Several platforms currently exist for the design and execution of complex pipelines. Unfortunately, current platforms lack the necessary combination of parallelism, portability, flexibility and/or reproducibility that are required by the current research environment. To address these shortcomings, workflow frameworks that provide a platform to develop and share portable pipelines have recently arisen. We complement these new platforms by providing a graphical user interface to create, maintain, and execute complex pipelines. Such a platform will simplify robust and reproducible workflow creation for non-technical users as well as provide a robust platform to maintain pipelines for large organizations.ResultsTo simplify development, maintenance, and execution of complex pipelines we created DolphinNext. DolphinNext facilitates building and deployment of complex pipelines using a modular approach implemented in a graphical interface that relies on the powerful Nextflow workflow framework by providing 1. A drag and drop user interface that visualizes pipelines and allows users to create pipelines without familiarity in underlying programming languages. 2. Modules to execute and monitor pipelines in distributed computing environments such as high-performance clusters and/or cloud 3. Reproducible pipelines with version tracking and stand-alone versions that can be run independently. 4. Modular process design with process revisioning support to increase reusability and pipeline development efficiency. 5. Pipeline sharing with GitHub and automated testing 6. Extensive reports with R-markdown and shiny support for interactive data visualization and analysis.ConclusionDolphinNext is a flexible, intuitive, web-based data processing and analysis platform that enables creating, deploying, sharing, and executing complex Nextflow pipelines with extensive revisioning and interactive reporting to enhance reproducible results.

Penerapan Aplikasi Penjualan Online Berbasis Customer Relationship Management (CRM) pada Toko Sumber Mulyo di Kabupaten Kudus

The increasing business competition between buying and selling shops to get customers has caused building shops to compete to provide the best service for their customers. Consumer satisfaction is the key to building long-term relationships between customers and building stores. Sumber Mulyo Shop which is four in Ds. Piji Rt.1 Rw.2 Dawe Kudus is engaged in buying and selling building materials. The customer service system that is currently available at the Sumber Mulyo Shop is still utilizing for the process of buying and selling and service manually, namely when in the store to respond to customer complaints. Therefore, complaints are not confidential to building shops. The registration process is still done by recording documents, in recording documents causing the customer service takes longer if one day is needed. In making the registration data report member marketing will be difficult in managing store data so that in recording member transaction data there will be many errors. The method of applying the system used in this study is the method of System Development Life Cycle (SDLC), Unified Modeling Language (UML), and using a web-based programming language, PHP. This CRM service system makes it easy for customers to register members, provide input in the form of criticism and suggestions, and can provide convenience for Sumber Mulyo Shop owners for web-based data processing. In this study using this system needs analysis through a SWOT analysis.

A Web Based Data Processing Concept for Building Diagnostics and Performance Evaluation

Buildings are responsible for a major amount of the annual energy consumption. A detailed recording and evaluation of building data could provide a deeper understanding of building operation schemes and the corresponding performance. This could help building owners and operators to evaluate and better understand the actual situation. Based on this (real-time) data an optimized operation scheme can be designed and implemented for future time steps. Additionally, a more detailed understanding of the impact of previous building systems interactions will be possible. The building automation industry and the related service provider sector are actually providing proprietary solutions for data logging, visualization and energy optimization. Such solutions are regularly integrated into their own specific software of the used proprietary building management solutions. As an alternative, we suggest an Internet of Things (IoT) and web services inspired concept for the implementation of a generic web service for building diagnostics. Our suggestion encompasses a holistic performance evaluation that considers both the energy consumptions and delivered building service. In this contribution, a general design of a web service based solution is presented and the future possibilities for data access from various sources are discussed. Furthermore, details of actually developed and demonstratively implemented software components for data preprocessing are presented. Data processing examples for different types of data are included and highlight the potential of such web-based approaches. Moreover, possibilities for improved building control by the use of web services for operation schedule generation or model predictive control are illustrated and critically debated.

웹기반 GPS 데이터 처리 솔루션에 의한 지진영향에 따른 지각변동 모니터링

현재 GPS는 측량 및 지도제작, 측지, 지구물리와 같은 지상부문, 항공기 항법, 항공사진 촬영과 같은 공중부문, 선박의 항법, 수심측량과 같은 해상부문, 위성 궤도, 지구궤도와 같은 우주부문 등 다양한 분야에서 폭넓게 활용되고 있다. 그러나 넓은 활용분야에 비해 정밀 해석의 자료처리를 위해서는 전문지식뿐만 아니라 비용적인 문제로 인해 활용에 제약이 있다. 이에 본 연구에서는 전문지식이 없는 사용자도 GPS 데이터를 이용하여 손쉽게 정밀절대측위 성과를 얻을 수 있도록 C#을 이용하여 웹기반의 GPS 자료처리 솔루션을 개발하였다. 또한, 개발된 솔루션을 이용하여 우리나라가 일본 지진 이후 상시관측소 별로 평균 30mm/year의 지각변동이 나타남을 산출하고, 기존 지각변동 속도와 비교함으로써 지각변위속도 모니터링의 활용가능성을 제시하였다. GPS (Global Positioning System) is currently used widely in the ground section, such as surveying, mapping, geodesy, geophysics, the aviation section, such as aerial navigation and aerial photography, the sea section, including ship navigation and bathymetry, and space section, such as the satellite orbit and Earth's orbit. On the other hand, its use is limited due to the professional knowledge and expense to process the data for precise analysis. As a result, a web-based data processing solution for precise point positioning using GPS data was developed by c# for non-specialized people to process easily. In addition, the crustal movement speed of Korea after an earthquake was calculated to be an average of 30mm/year for each CORS, suggesting that it is possible to monitor crustal movement.

MsCompare: A Framework for Quantitative Analysis of Label-free LC-MS Data for Comparative Candidate Biomarker Studies

Data processing forms an integral part of biomarker discovery and contributes significantly to the ultimate result. To compare and evaluate various publicly available open source label-free data processing workflows, we developed msCompare, a modular framework that allows the arbitrary combination of different feature detection/quantification and alignment/matching algorithms in conjunction with a novel scoring method to evaluate their overall performance. We used msCompare to assess the performance of workflows built from modules of publicly available data processing packages such as SuperHirn, OpenMS, and MZmine and our in-house developed modules on peptide-spiked urine and trypsin-digested cerebrospinal fluid (CSF) samples. We found that the quality of results varied greatly among workflows, and interestingly, heterogeneous combinations of algorithms often performed better than the homogenous workflows. Our scoring method showed that the union of feature matrices of different workflows outperformed the original homogenous workflows in some cases. msCompare is open source software (https://trac.nbic.nl/mscompare), and we provide a web-based data processing service for our framework by integration into the Galaxy server of the Netherlands Bioinformatics Center (http://galaxy.nbic.nl/galaxy) to allow scientists to determine which combination of modules provides the most accurate processing for their particular LC-MS data sets.

Web-Based Data Processing System for Automated Detection of Oscillations with Applications to the Solar Atmosphere

A web-based, interactive system for the remote processing of imaging data sets (i.e., EUV, X-ray and microwave) and the automated interactive detection of wave and oscillatory phenomena in the solar atmosphere is presented.The system targets localised, but spatially resolved, phenomena, such as kink, sausage, and longitudinal propagating and standing waves. The system implements the methods of Periodmapping for pre-analysis, and Pixelised Wavelet Filtering for detailed analysis of the imaging data cubes. The system is implemented on the dedicated data processing server http://pwf.iszf.irk.ru, which is situated at the Institute of Solar-Terrestrial Physics, Irkutsk, Russia. The input data in the .sav, .fits or .txt formats can be submitted via the local and/or global network (the Internet). The output data can be in the png, jpeg and binary formats, on the user's request. The output data are periodmaps; narrowband amplitude, power, phase and correlation maps of the wave's sources at significant harmonics and in the chosen spectral intervals, and mpeg-movies of their evolution. The system was tested by the analysis throughout the EUV and microwave emission from the active region NOAA 10756 on 4 May 2005 observed with TRACE and the Nobeyama Radioheliograph. The similarity of the spatial localisation of three-minute propagating waves, near the footpoint of locally open magnetic field lines determined by the potential field extrapolation, in both the transition region and the corona was established. In the transition region the growth of the three-minute amplitude was found to be accompanied by the decrease in the line of sight angle to the wave propagation direction.