Errors In Input Data Research Articles

Perancangan Prototipe Aplikasi Legalisir Ijazah Dan Transkip Akademik Berbasis Web Menggunakan Layanan Autentikasi Single Sign-On Gmail

The issuance and verification of diplomas is an important process in the world of education. However, this process often encounters obstacles, such as difficulties in collecting and processing data, as well as errors in data input. Therefore, some educational institutions have developed online diploma applications to facilitate the process. This study aims to discuss the development of online diploma applications, their benefits and implications, as well as the challenges and opportunities in the future development of this technology. The research method used is a case study of an educational institution, using a qualitative approach and Agile Development method. In this study, a prototype of an online diploma application has been developed that allows students to access and download their diplomas online and facilitates the diploma verification process by relevant parties. This application is equipped with a good data security and privacy system to ensure user data security. In conclusion, online diploma applications have the potential to improve the efficiency and effectiveness of the diploma issuance and verification process. However, the development of this application also requires serious attention to data security and privacy aspects.

Web-Based Village Fund Assistance Distribution Information System Using the Quota Based Method

The development of information technology has greatly influenced several aspects of human life in the implementation of daily activities. One of the benefits of the development of information technology is that it can help local governments provide information regarding the distribution of financial assistance through monitoring. Village fund assistance is one of the government programs aimed at economic recovery for people affected by the pandemic. Currently, assistance from village funds is often not supported by good governance in every village. Particularly in Tanah Merah Village, aid arrangements were still carried out by recording manually, so sometimes data input errors occurred which resulted in inaccurate data. Therefore, we need a computerized system that can overcome the limitations and problems that occur. In making this system using the Waterfall method, the stages are needs analysis, application design, system design, testing, and system maintenance. The tools used to design this system are UML (Unified Modeling Language), which consists of Use Case Diagrams, Activity Diagrams, and Class Diagrams. The results of this study are an information system for distributing village fund assistance at the Tanah Merah Village office. The application of this information system for distributing village fund assistance can help provide alternative solutions for the village government to problems in the data collection process so that the implementation process can achieve its objectives properly.

On strictly enforced mass conservation constraints for modelling the Rainfall‐Runoff process

AbstractIt has been proposed that conservation laws might not be beneficial for accurate hydrological modelling due to errors in input (precipitation) and target (streamflow) data (particularly at the event time scale), and this might explain why deep learning models (which are not based on enforcing closure) can out‐perform catchment‐scale conceptual and process‐based models at predicting streamflow. We test this hypothesis with two forcing datasets that disagree in total, long‐term precipitation. We analyse the roll of strictly enforced mass conservation for matching a long‐term mass balance between precipitation input and streamflow output using physics‐informed (mass conserving) machine learning and find that: (1) enforcing closure in the rainfall‐runoff mass balance does appear to harm the overall skill of hydrological models; (2) deep learning models learn to account for spatiotemporally variable biases in data (3) however this ‘closure’ effect accounts for only a small fraction of the difference in predictive skill between deep learning and conceptual models.

Sistem Informasi Raport Online Berbasis Web Pada SMK Negeri 1 Slawi

The work system of teachers and staff of SMKN 1 Slawi still uses a conventional system that has the risk of errors in data input, besides that conventional data input also takes a long time to process. The design of the E-Raport Information System for SMK N 1 Slawi is a web-based information system created to facilitate and speed up teachers and staff in inputting data and assessing and evaluating students' learning from data input to printing report cards. The design of the E-Report Card Information System is expected to change the way teachers work from a conventional work system to a digital work system. In addition, the design of the e-report card information system aims to minimize errors in inputting data and student scores. The web-based E-Report Card Information System is designed using the SDLC (System Developmen Life Cyce) development system which carries out the research process using the waterfall method. Meanwhile, the software model carried out in the preparation of this research uses a programming model. The language used for this research is to discuss CSS programming, PHP, Java Script, HTML, Font Awesome, Data Tables, Boostrap and the databases used are MySQL and MariaDB databases

Residual stress measurements on a deep rolled aluminum specimen through X-Ray Diffraction and Hole-Drilling, validated on a calibration bench

Residual stress measurements are notably affected by a high sensitivity to errors in input data. Measurements should then be presented together with an estimation of their accuracy. A common strategy is to carry out more measurements and/or to compare the results of different techniques. However, error contributions due to biases could be dangerously left unseen. In a previous work, the authors presented a calibration bench which can impose a known bending stress distribution on a specimen while simultaneously performing X-Ray Diffraction (XRD) or Hole-Drilling Method (HDM) residual stress measurements. Since the external load can freely be applied and removed, the superposition principle can be exploited to simultaneously identify either the reference bending stress distribution or the actual residual stress distribution, with the same experimental setup. A deep rolling treatment was measured and analyzed on the calibration bench with both XRD and HDM. First, residual stresses on the surface were evaluated with XRD measurements, then electrochemical material removal was performed to investigate stresses at higher depths. After that, HDM measurements were carried out and compared with the results of XRD. Both methods were also used to identify the known bending stresses, providing an additional validation of the residual stress results.

Modelling erosive wear of nano-filler added carbon fibre reinforced polymer composite by artificial neural networks

In recent years, research on polymer composites has grown significantly. For polymer matrix composites to exceed pure polymers in terms of performance, nano-fillers are added. Due to their remarkable high-temperature stability and thermal shock endurance, Al2O3 and SiC have been demonstrated to be among the best nano-fillers currently available. This work employed experimental data from an existing literature and modelled a set of data parameters, including erodent size, impact velocity, impact time, varied nano-filler (Al2O3-SiC) weight percentage, and impingement angle. By optimizing these process parameters, the erosion rate and weight loss of the composite were minimized by utilizing artificial neural networks (ANN). An optimum ANN model with architecture 5-11-11-2 was developed with the help of mean square error (MSE) and average error (AE) of input data. The obtained value of correlation coefficient (R-value) is 0.99617, indicating that the proposed model can establish a precise relationship between input and output parameters. In addition, a visual comparison of the experimental and estimated results is presented for further validation.

A Decision Support System For The Selection Of The Best Employees At CV. Adiguna By Applying The Preferences Selection Index Method

Technological Developments at this time, competition in the business world is getting tougher, to support this, companies must also improve their quality. On CV. Adiguna to increase the resources of his employees in improving the quality of his company is of course supported and influenced by the performance of employees who are competent in their field. Where in CV. Adiguna of Bengkulu City in giving awards to the best employees every year so far it is still done manually, this can certainly increase the enthusiasm of employees at work and always run a business by fulfilling several criteria set by CV Adiguna of Bengkulu City. Therefore to provide an objective assessment of employee performance, a Decision Support System is needed to select the best employees and provide rewards to employees, then to support the above, it is necessary to implement several Decision Support Systems at CV Adiguna of Bengkulu City based on the criteria that have been determined by the management of CV Adiguna of Bengkulu City. Decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is a desktop-based application that has implemented the Preferences Selection Index (PSI) method. This application can be used to assist in the process of selecting the best employees on CV Adiguna of Bengkulu City uses 5 predetermined criteria, then the assessment of these 5 criteria is processed using the Preferences Selection Index (PSI) method to produce a ranking that will be used to determine the best employee. Based on the results of the tests that have been carried out, it can be concluded that the decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is able to run well and can overcome data input errors besides that calculations are done manually with those carried out by the application producing the same output.

A Comparison between 2D and 3D Rescaling Masks of Initial Condition Perturbation in a 3-km Storm-Scale Ensemble Prediction System

Abstract Using a 3-km regional ensemble prediction system (EPS), this study tested a three-dimensional (3D) rescaling mask for initial condition (IC) perturbation. Whether the 3D mask-based EPS improves ensemble forecasts over current two-dimensional (2D) mask-based EPS has been evaluated in three aspects: ensemble mean, spread, and probability. The forecasts of wind, temperature, geopotential height, sea level pressure, and precipitation were examined for a summer month (1–28 July 2018) and a winter month (1–27 February 2019) over a region in North China. The EPS was run twice per day (initiated at 0000 and 1200 UTC) to 36 h in forecast length, providing 56 warm-season forecast cases and 54 cold-season cases for verification. The warm and cold seasons are verified separately for comparison. The study found the following: 1) The vertical profile of IC perturbation becomes closer to that of analysis uncertainty with the 3D rescaling mask. 2) Ensemble performance is significantly improved in all three aspects. The biggest improvement is in the ensemble spread, followed by the probabilistic forecast, and the least improvement is in the ensemble mean forecast. Larger improvements are seen in the warm season than in the cold season. 3) More improvement is in the shorter time range (<24 h) than in the longer range. 4) Surface and lower-level variables are improved more than upper-level ones. 5) The underlying mechanism for the improvement has been investigated. Convective instability is found to be responsible for the spread increment and, thus, overall ensemble forecast improvement. Therefore, using a 3D rescaling mask is recommended for an EPS to increase its utility especially for shorter time range and surface weather elements. Significant Statement A weather prediction model is a complex system that consists of nonlinear differential equations. Small errors in either its inputs or model itself will grow with time during model integration, which will contaminate a forecast. To quantify such contamination (“uncertainty”) of a forecast, the ensemble forecasting technique is used. An ensemble of forecasts is a multiple of model runs at the same time but with slightly “perturbed” inputs or model versions. These small perturbations are supposed to represent true “uncertainty” in inputs or model representation. This study proposed a technique that makes a perturbation’s vertical structure more resemble real uncertainty (intrinsic error) in input data and confirmed that it can significantly improve ensemble forecast quality especially for a shorter time range and lower-level weather elements. It is found that convective instability is responsible for the improvement.

Sistem Informasi Akuntansi Pengelolaan Kas Berbasis Dekstop di Masjid Pusdai Jawa Barat

In recording cash, mosques are still based on semi-computers so it can result in inaccurate financial statements due to errors in data input, besides that storing archives or documents manually has many risks such as lost or damaged documents. This study aims to design a computerized cash management system so that all inputted data is stored in a database making data storage and management more efficient, and reporting can be done automatically and accurately. In designing a cash management accounting information system the author uses the waterfall development method starting with system analysis, system design, implementation, testing, and maintenance. The tools used in this design are Microsoft Visual Studio 2010 and Microsoft Access as databases. This research produces a system that can manage cash receipts and cash disbursements accurately and store transaction evidence into a database and make it easier to make reports.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN AYAM BROILER SEHAT BERBASIS WEB

Putra West Sumatra is a family company engaged in the delivery of goods using land transportation. CV. With the increasing number of shipments of goods, problems often occur, this is because the company is still using a data system for shipping goods that has not been computerized. The purpose of this study is to design an information system for freight forwarding services at CV. Putra West Sumatra and modify it into a new system. The need for a new system input is recipient data, sender data, goods type data, delivery schedule data, and transaction data, the process needs to process sender data and process data for recipients who receive goods and payment reports to be sent according to the sender's schedule, the output needs namely the recipient data report, the sender data report, the goods data report and the payment data report. The result of this research is that the data processing of the delivery service can help effectively and reduce the risk of errors in data input and the collision of the delivery schedule.

Web-Based Project Work Management Information System Development (Case: CV. Trijaya Abadi Electric)

This research was conducted to build a System Information Management Project with efficient, effective, and easy as well as can count budget work, budget shopping, budget wages employees, Manage presence employees, count payroll in a way, got it make report payroll. and reports readiness Work on discussion budget. This research was carried out through four stages, namely 1. Planning ( planning ), 2. Analysis ( analysis ), 3. Design ( designing ), and 4. Implementation ( application ). Development System Information Management Work Project Web Based ( Case Study: CV. Trijaya Abadi Electric). CV. Trijaya Abadi Electric has so far managed everything related to work, still using manual systems such as employee absences verbally to superiors, work progress verbally, payroll still using Microsoft Excel, and work management that has not been fully organized causing data input errors. and budget calculations that are often missed, resulting in errors in invoices and tender notes. The process of calculating the shopping budget and equipment rental along with worker salaries must be maximum and optimal so that there are no errors in the bookkeeping so that it is clear that the profits obtained are in accordance with the calculations.

PERANAN UNIT PAYMENT COLLECTION DALAM MELAKUKAN PENAGIHAN PIUTANG INDIHOME PT. TELEKOMUNIKASI INDONESIA, Tbk WITEL MEDAN

Payment Collection has an important role in PT. Telekomunikasi Indonesia, Tbk Witel Medan. Payment Collection has the authority to handle the collection of accounts receivable and cash income from Indihome customers. This unit is tasked with communicating with customers to remind them of their obligations in making payments for current month's bills and past due arrears. This study uses qualitative methods with primary data types. The results showed that the role of Payment Collection is very influential on the cash income of PT. Telekomunikasi Indonesia, Tbk Witel Medan. However, there are obstacles faced both from customers and from companies, such as network damage, customer data input errors and so on. Suggestions from the author for Payment Collection When providing information to customers, sales should adjust the information in accordance with applicable policies at Telkom so that there are no misunderstandings between marketing and billing, and reduce the level of customer complaints

PERANCANGAN SISTEM INFORMASI DATA SISWA DAN GURU PADA TK DARMA BAKTI DEPOK BERBASIS JAVA

Darma Bakti Kindergarten is one of the levels of early childhood education in the form of formal education that provides educational programs for children with an age range of 4-6 years. Data collection or data management, especially student and teacher data, are currently partly not computerized, namely still recording data in ledgers and some using computerization, namely using Microsoft Word and Microsoft Excel. However, it allows data in the ledger to be prone to loss and tearing, data input errors, repetition of data input (Data Double), loss of data, data searches that take a long time, ineffective data reporting because the reported data process must be typed one by one. first. The purpose of this research is to build a data information system for students and teachers using the Java programming language and MySQL database. At this writing the author uses qualitative methods, and the information system design method used is the waterfall method. With the design of this information system, the problem of data collection in TK Darma Bakti Depok can be resolved.

IT Helpdesk Ticketing System Berbasis Web Pada Bagian ERP (Enterprise Resource Planning) PT Perkebunan Nusantara VI

PT Perkebunan Nusantara VI is one of the companies operating in the plantation sector that is transforming the development of information technology to help improve the efficiency and effectiveness of the company. PT Perkebunan Nusantara VI has an ERP section that is implementing changes to business processes, initially all transactions were recorded manually and now all transactions are recorded through the SAP application system which makes all parts of PT Perkebunan Nusantara VI integrated in real time. In the implementation of the SAP application at PT Perkebunan Nusantara VI it did not go well where many human resources did not understand SAP technology and there were many data input errors that made errors in transactions and errors in the SAP application system, based on these conditions, a system is needed that can assist in handling of every problem that exists in every part of PT Perkebunan Nusantara VI so that the handling is more well structured and also helps in the reporting system. So the final result of this research is a proposed helpdesk ticketing system application that makes it easier for the reporting system and handling problems that exist in the transaction process in the SAP application.

Mismeasurement and efficiency estimates: Evidence from smallholder survey data in Africa

AbstractSmallholder agriculture in sub‐Saharan Africa is commonly characterised by high levels of technical inefficiency. However, much of this characterisation relies on self‐reported input and production data, which are prone to systematic measurement error. We show theoretically that non‐classical measurement error introduces multiple identification challenges and sources of bias in estimating smallholders' technical inefficiency. We then empirically examine the implications of measurement error for the estimation of technical inefficiency using smallholder farm survey data from Ethiopia, Malawi, Nigeria and Tanzania. We find that measurement error in agricultural input and production data leads to a substantial upward bias in technical inefficiency estimates (by up to 85% for some farmers). Our results suggest that existing estimates of technical efficiency in sub‐Saharan Africa may be severe underestimates of smallholders' actual efficiency and what is commonly attributed to farmer inefficiency may be an artefact of mismeasurement in agricultural data. Our results raise questions about the received wisdom on African smallholders' production efficiency and prior estimates of the productivity of agricultural inputs. Improving the measurement of agricultural data can improve our understanding of smallholders' production efficiencies and improve the targeting of productivity‐enhancing technologies.

OPTIMIZATION OF IMMIGRATION DATA MANAGEMENT- TEMPLE APPLICATION AT THE BALIKPAPAN IMMIGRATION OFFICE

This paper raises the problems faced by the Immigration Office regarding the accumulation of archives and data recording that is not optimal in the rack locator application in the archive room of the Immigration Information and Communication Technology Section. Immigration data collected from various sections in the processing of immigration data faces obstacles in less than optimal collection, data input in the rack locator application, and data duplication, especially in applications for passports and residence permits. The author recommends a solution in the form of using a more efficient application for recording and compiling immigration documents, which can be used on various devices and minimizes data input errors. In addition, suggestions were given to provide barcode reading on the Drive Thru service, increase server capacity for the Secure Passport Storage Application (ASIAAP), and add mobile units in the Immigration Service Provide Foreigner Services Without Coming (SI BEKANTAN).

Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description

Chemical process measurement may cause inaccuracy and uncertainty in some parts of the measurement data due to equipment aging and environmental conditions, such as temperature, humidity, gas pressure, gas flow, and other related factors. Uncertain data of this kind commonly fluctuate in an interval centered on the true value. Given the uncertain characteristics of some parts of the measurement data, the certain of some parts, and the nonlinearity of the industrial process, the present paper proposes a novel algorithm of process monitoring and fault diagnosis called Part Interval Stacked Autoencoder and Support Vector Data Description (PISAE–SVDD). The loss function of Stacked Autoencoder (SAE) is improved in this algorithm. In certain measurement data, the reconstruction error value is the mean square error of the original input data and output data. By contrast, uncertain measurement data provide a certain allowable range for reconstruction error value. The error value of measurement data is considered as zero within this range. The reconstruction error value of measurement data beyond the allowable range is calculated in the same way as for certain measurement data. At the same time, the characteristic information of the industrial process is extracted through the strong nonlinear characterization ability of SAE. Support Vector Data Description is then used to obtain the control limit of the fluctuation range of the normal working condition based on the SAE feature information data extracted from normal samples. This approach is adopted to realize the process monitoring of the industrial process with partial uncertain measurement. To detect fault, this algorithm was applied to the numerical simulation, the Tennessee Eastman process, and the process in industrial wastewater treatment plants, and then compared with other advanced algorithms. The results indicate the excellence and high efficiency of the PISAE–SVDD algorithm in the field of process monitoring.

Evaluating a school-based intervention through routine local authority data and national school data: Challenges and opportunities.

ObjectivesThe Department for Education funded local authorities (LAs) in England to embed social workers into schools (SWIS) so that they can work more effectively with teachers, children and families. A two-arm cluster randomised-controlled trial is evaluating the effect of SWIS compared to schools without on referrals to Children’s Social Care. ApproachLAs collate information about all children who are referred to Children’s Social Care within their authority. A case report form has been developed by the trial team to collect school-level information on child protection enquiries, referrals, child in need assessments and numbers of days children spent in state care. Cost data are also included for an economic evaluation. LAs return a completed dataset each quarter, reporting aggregate numbers by school and year group. Data on attendance and attainment will be requested separately from the National Pupil Database (NPD) in 2023. ResultsQuarterly (n=6) data was supplied for 291 schools across 21 LAs. We will focus on this method of data collection and its challenges and opportunities. Relying on 21 external parties to provide all trial data in a timely manner brought risks to the collation of trial outcome data but has reduced the overall costs of data collection. LAs work with a number of different (and changing) IT systems, many of which are not compatible with each other. This, along with personnel changes in data teams, has led to delays. Receiving aggregate data limits the amount of quality control possible, therefore detailed guidance mitigated potential data input errors. Working with LAs to develop and refine these guidance materials at the outset paid dividends. ConclusionUsing routine LA data is a novel cost-efficient approach to collecting trial outcome data at scale. However, the disjointed and varying data architecture that exists in LAs presents practical challenges. This means we relied on good working relationships with the LAs, including regular communication and collaborative problem solving.

Research Support Model for Improving the Effectiveness of Medical Study Data Collection

Abstract The paper describes the research support model for improving the effectiveness of the medical research data collection process and data quality. Every research project involves a data collection phase, during which different organisation, legal and technology factors are involved, including various procedures (questionnaire design, annotation, database design, data entry, data validation, discrepancy management, medical coding and data mining). The key task of clinical data management is to obtain high-quality data, which can be achieved by minimising data input errors and timely identifying missing data. This process is often time-consuming and takes up a significant part of the research project budget in both veterinary and human medicine. The aim of this study is to elaborate the research support model for the creation of a data collection automation software tool, which will allow one to ensure better data quality, shorten the time for data collection and minimise human work volume and respective human resource expenses, making research projects more effective in terms of their timing and budget. Research work included analysis of the current situation, its shortcomings, typical research project budget distribution and existing automated electronic data collection tools (EDC). Research was carried out in partnership with the Institute of Clinical and Preventive Medicine of the University of Latvia.

Scholarship Acceptance Decision Support System With Simple Additive Weighting (Saw) Method At Sudirman Islamic High School

Sudirman Ambarawa Islamic High School is a Private Upper Level Secondary School located in Ambarawa, precisely on Jalan Jendral Sudirman No.2A Ambarawa, Semarang Regency, Central Java. It is very strategically located because it is on the edge of the Semarang-Yogyakarta Main Road. Sudirman Ambarawa Islamic High School is under the leadership of the Sudirman Islamic Education Center Foundation (YAPPIS). The scholarship acceptance system at Sudirman Ambarawa Islamic High School records and selects prospective scholarship recipients is still manually, namely only by using the Microsoft Excel program, which results in data input errors and the results of the selection of scholarship recipient students.
 The problems that occur at Sudirman Ambarawa Islamic High School will be resolved by supporting scholarship admission decisions. This system is needed in helping to make decisions to provide scholarships based on predetermined conditions or criteria in accordance with the standards of the Simple Additive Weighting method applied. So far, the selection process for scholarship admissions at Sudirman Ambarawa Islamic High School uses a manual process that only uses the Microsoft Excel computer program, where the consideration is also carried out manually, only doing a simple mathematical calculation process.