scholarly journals Online Based Memorandum of Understanding (MOU) Data Exchange System Design with EDI Method

2021 ◽  
Vol 1 (2) ◽  
pp. 89-100
Author(s):  
Inge Virdyna ◽  
Samidi Samidi

During the Covid 19 pandemic, every individual is required to be more creative in carrying out every activity and not make a distance as the reason an activity cannot be carried out. Documentation data, which is usually sent manually by post, will experience difficulties at this time. This research will discuss other ways that can be done to ensure the data exchange process of the Memorandum of Understanding (MOU) between PT. Bank XYZ with partners. The solution that can be implemented is to use the Electronic Data Interchange (EDI) method. EDI is an online-based data exchange method. In other words, the method of exchanging data via postal service is not necessary. Based on this research, the EDI method can meet users' needs in terms of exchanging or sending documentary data on the MOU between PT. Bank XYZ with partners. The method used in building this system design is analyzing the running system and designing the system with UML tools. The final result of the validation test of the system design through the FGD method states that the e-approval system application design of the MOU is by the specifications of the functional requirements required by the user.

Kursor ◽  
2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Mariana Rospilinda Siki ◽  
Nisa Hanum Harani ◽  
Cahyo Prianto

Electronic Data Interchange (EDI) is an electronic data exchange mechanism between a company and another company or Business to Business (B2B) in a supply chain cycle. In this study, EDI's role in managing the procurement of goods as well as the EDI model has been applied. Determination of vendor recommendations is one element of vendor performance evaluation of the procurement process. Lack of information and analysis obtained by PT. Cinovasi Rekaprima makes it difficult to predict vendor recommendations. Predicted vendor recommendations can help the Procurement Division in developing appropriate strategies to determine recommended vendors. This problem can be applied to data mining techniques to make predictions using the classification method. Decision Tree is a method that converts facts into decision trees that represent rules that can be interpreted by humans. Attributes that influence the determination of vendor recommendations consist of the availability of goods, services, ease of ordering and product quality. Sample data obtained directly from the Procurement Division of PT. Cinovasi Rekaprima is primary data in the form of vendor data (quotation) and secondary data in the form of vendor performance evaluation forms. The result of the EDI application is a classification consisting of 2 classes, namely recommended vendors and non-recommended vendors and the Procurement Division can use it for decision making to determine the right vendor, so that the procurement process becomes easier and increases company profitability. The testing model uses k-fold cross-validation with the k value is 1 to 10 fold. This application can determine vendor recommendations with the highest accuracy 87.00 % on k-3 and k-5 fold.


Author(s):  
Harlan Stokes

Abstract In the Autumn of 1988, the Materials Operations at Control Data Corporation’s Computer Products Group began a program to electronically exchange mechanical CAD models with its suppliers. The “Supplier CAD-Link” program provided many immediate benefits and offers a unique learning experience about electronic data interchange. Existing technologies are used, so the program operates on a shoestring budget with no major dollar investments required of CDC or the suppliers. The program uses the IGES standard file format, so suppliers can apply the lessons learned to CAD/CAM data exchanges with other companies. Now, with the continuing success of the CAD-Link program. Computer Products is re-evaluating many of the old paper based methods of doing business. This paper explores some of the issues for managing a CAD/GAM data exchange program.


1992 ◽  
Vol 56 (2) ◽  
pp. 45-56 ◽  
Author(s):  
Ramon O'Callaghan ◽  
Patrick J. Kaufmann ◽  
Benn R. Konsynski

The establishment of electronic information interchange linkages between channel members offers significant potential for the transformation of their relationship, with significant benefits for all participants. The authors examine the adoption of a particular form of electronic data interchange (EDI), the computer-based interface offerings by insurance carriers to their independent agent communities. The study addresses adoption considerations and postadoption effects. Implications for system design are discussed.


2018 ◽  
Vol 34 (2) ◽  
pp. 419-443 ◽  
Author(s):  
Gert Buiten ◽  
Ger Snijkers ◽  
Paulo Saraiva ◽  
Johan Erikson ◽  
Anna-Greta Erikson ◽  
...  

Abstract This article discusses the experience and the ideas of National Statistical Institutes from four countries – Portugal, Sweden, Canada, and the Netherlands – in order to build a fully automated data collection system, to provide a system-to-system (S2S) data exchange or Electronic Data Interchange (EDI) between all stakeholders in the production chain. This joint work is a summary of an invited session at the Fifth International Conference on Establishment Surveys, which was devoted to ‘the future of business data collection’. Taken together, the four presentations provide an overview of recent experiences with S2S/EDI data collection for financial business data. The basis for such a system is an integrated unbroken digital information chain that runs from the recording of financial data in computerised administrative systems of individual businesses all the way to publishing economic statistics – the Business Information Chain. This chain can be ‘closed’ and made into a cycle by including a feedback loop, for example by providing benchmark data to businesses. However, to make it happen, technical standardisation, vertical and horizontal conceptual harmonisation between all partners in the chain, and positive business cases for all partners are needed. The article starts by putting EDI developments in historical perspective.


Author(s):  
Ade Surya Budiman

[Id]Industri manufaktur merupakan jenis industri yang bisa dikatakan mustahil bisa berjalan tanpa keberadaan dan kolaborasi dengan industri-industri manufaktur lainnya. Sebuah perusahaan manufaktur tidak bisa dikatakan berperan sebagai produsen atau sebagai konsumen saja, karena perusahaan-perusahaan itu secara umum ikut berperan dalam kegiatan hulu hingga hilir dalam sistem manufaktur. Business to Business (B2B) adalah model perniagaan yang berlaku pada industri manufaktur. Perusahaan berkolaborasi membentuk rantai pasokan (supply chain) dan bersimbiosis untuk menjamin ketersediaan bahan baku dan ketersediaan pembeli dari hasil produksi mereka. Teknologi informasi dapat berperan penting dalam masalah pengelolaan informasi antar perusahaan dalam siklus rantai pasokan. Electronic Data Interchange (EDI) merupakan sebuah mekanisme pertukaran data secara elektronis antara pembeli dan penjual didalam sebuah siklus rantai pasokan. Didalam implementasinya, EDI diterjemahkan dalam beberapa model dan bentuk yang disesuaikan dengan kebutuhan perusahaan dan partner rantai pasokannya, sehingga perlu ditemukan formulasi yang standar mengenai bagaimana EDI diterapkan secara umum di industri manufaktur global. Didalam paper ini, akan dilakukan kajian mengenai bagaimana EDI berperan dalam pengelolaan rantai pasokan di industri manufaktur beserta model EDI yang telah diterapkan. Sehingga didapatkan gambaran mengenai standarisasi dari EDI dalam industri manufaktur.[En]Manufacturing industry is a kind of industry that can be said to be impossible to run without existence and collaboration with other manufacturing industries. A manufacturing company can not be said to play a role as a producer or as a consumer, as they generally play a role in upstream to downstream activities in the manufacturing system. Business to Business (B2B) is a commercial model applicable to the manufacturing industry. The company collaborates to form a supply chain and is symbiotic to ensure the availability of raw materials and the availability of buyers from their produce. Information technology can play an important role in the problem of information management between firms in the supply chain cycle. Electronic Data Interchange (EDI) is an electronic data exchange mechanism between buyers and sellers within a supply chain cycle. In its implementation, EDI is translated into several models and forms tailored to the needs of the company and its supply chain partners, so there is a need to find a standardized formulation of how EDI is generally applied in the global manufacturing industry. In this paper, a review of how EDI will play a role in supply chain management in the manufacturing industry and the EDI model that has been implemented. So we get a picture about the standardization of EDI in the manufacturing industry.


Author(s):  
Prof.(Dr.) S. T. Patil ◽  
Surabhi Jadhav

The electronic data exchange between B2B partners through EDI (Electronic Data Interchange) enables your company to continuously digitize and automate business processes. This results in more efficiency and easy, as well as cost savings as per document, but requires the support of different formats, message standards, and communication protocols. Organization offers a standard solution for B2B integration and electronic data exchange with the Magic EDI Service Platform. Whether you are a customer, supplier you can now exchange data electronically with all your partners.


2011 ◽  
Vol 143-144 ◽  
pp. 422-427
Author(s):  
Peng Jun Mao ◽  
Fu Zhang ◽  
Guo Ying Zhang

Three kinds of data transmission standards of IGES, parasolid and STEP on the SolidWorks and ADAMS software were contrasted to get the Parasolid for the most suitable software standards. CATIA 3D software has powerful function of modeling, but ADAMS has poor function of modeling. It has built the four feet completion institutions of 3D modeling by CATIA, then through among the middle media of SolidWorks software format to conversion and import CATIA 3D entity modeling into ADAMS/View environment to make up for the problem of insufficient ADAMS modeling ability. This paper focused on the discussion of data exchange process among ADAMS, CATIA and SolidWorks software.


2020 ◽  
Vol 51 (2) ◽  
pp. 479-493
Author(s):  
Jenny A. Roberts ◽  
Evelyn P. Altenberg ◽  
Madison Hunter

Purpose The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method Twenty transcripts of 10 children from archival data of the Weismer Corpus from the Child Language Data Exchange System at 30 and 42 months were examined. Measures of absolute point difference and point-to-point accuracy were compared, as well as points erroneously given and missed. Two new measures for evaluating automatic scoring of the Index of Productive Syntax were introduced: Machine Item Accuracy (MIA) and Cascade Failure Rate— these measures further analyze points erroneously given and missed. Differences in total scores, subscale scores, and individual structures were also reported. Results Mean absolute point difference between machine and hand scoring was 3.65, point-to-point agreement was 72.6%, and MIA was 74.9%. There were large differences in subscales, with Noun Phrase and Verb Phrase subscales generally providing greater accuracy and agreement than Question/Negation and Sentence Structures subscales. There were significantly more erroneous than missed items in machine scoring, attributed to problems of mistagging of elements, imprecise search patterns, and other errors. Cascade failure resulted in an average of 4.65 points lost per transcript. Conclusions The CLAN program showed relatively inaccurate outcomes in comparison to manual scoring on both traditional and new measures of accuracy. Recommendations for improvement of the program include accounting for second exemplar violations and applying cascaded credit, among other suggestions. It was proposed that research on machine-scored syntax routinely report accuracy measures detailing erroneous and missed scores, including MIA, so that researchers and clinicians are aware of the limitations of a machine-scoring program. Supplemental Material https://doi.org/10.23641/asha.11984364


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