Smart Contract Blockchain Application Design Based on The Distribution of Product Return Transaction Data

(1) * Ratna Ekawati Mail (Sultan Ageng Tirtayasa University, Indonesia)
(2) Yandra Arkeman Mail (Department of Argo-Industrial Engineering IPB University, Dramaga, Bogor, Indonesia)
(3) Suprihatinr Suprihatinr Mail (Department of Argo-Industrial Engineering IPB University, Dramaga, Bogor, Indonesia)
*corresponding author

Abstract


In 2020, there will be 1% bulk sugar product returns. Direct return to warehouse; it is not known how much and what kind of sugar was returned. Changes in the number of uncontrolled product availability occur in the logistics sector. We designed a sugar volume return mechanism to verify the identity of the buyer, the amount and time of the transaction, using the steps of investigation, analysis, and system design that can implement. The application is based on the truffle test framework and smart contracts on the Ropsten test network on the Ethereum Metamask platform wallet, localhost memory, and a decentralized web-based dashboard. Input data on the smart contract so that during the Ropsten net test process, it will generate blocks, hash codes, and contract hashes as transaction details. It also displays a summary report and a blockchain transaction dashboard. How much volume will increase or decrease due to returns, buyers, type of sugar commodity, time, and volume of sugar during data transactions is known. The features developed for smart contracts are private, semi-public transactions with consensus proof of work as validation and verification of the success of transaction data records.


Keywords


Blockchain application, Distribution transaction data, Return sugar product, Smart contract

   

DOI

https://doi.org/10.29099/ijair.v6i1.263
      

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References


S. K. Dwivedi, R. Amin, and S. Vollala, “Blockchain based secured information sharing protocol in supply chain management system with key distribution mechanism,” Journal of Information Security and Applications., vol. 54, pp. 1–15, 2020.

Ministry of Industry, National industrial development master plan 2015 - 2035. Jakarta Indonesia, 2015.

K. employee D. Plantation, “Plantation Media.” CV Perisindo Jaya, Jakarta Indonesia, pp. 50–51, 2021.

R. Kumar and V. Nath, “IT adaptation in sugar supply chain: A study at milling level,” International Journal of Logistics Systems and Management, vol. 35, no. 1, pp. 28–49, 2020.

M. Fleischmann, P. Beullens, J. M. Bloemhof-Ruwaard, and L. N. Van Wassenhove, “The impact of product recovery on logistics network design,” Production and Operations Management., vol. 10, no. 2, pp. 156–173, 2001.

S. Wang, D. Li, Y. Zhang, and J. Chen, “Smart contract-based product traceability system in the supply chain scenario,” in IEEE Access, vol. 7, pp. 115122–115133, 2019.

R. Frei, A. Bines, I. Lothian, and L. Jack, “Understanding reverse supply chains,” International Journal of Supply Chain and Operations Resilience., vol. 2, no. 3, p. 246, 2016.

S. K. Srivastava and R. K. Srivastava, “Managing product returns for reverse logistics,” International Journal of Physical Distribution and Logistics Management., vol. 36, no. 7, pp. 524–546, 2006.

D. A. Mollenkopf, R. Frankel, and I. Russo, “Creating value through returns management: Exploring the marketing-operations interface”, Journal of Operations Management., vol. 29, no. 5, pp. 391–403, 2011.

S. W. Setiawan, D. Lesmono, and T. Limansyah, “A Perishable Inventory Model with Return,” IOP Conference Series: Materials Science and Engineering., vol. 335, no. 1, 2018.

A. D. Nazarov, V. V. Shvedov, and V. V. Sulimin, “Blockchain technology and smart contracts in the agro-industrial complex of Russia,” IOP Conference Series: Earth and Environmental Science, vol. 315, no. 3, 2019.

A. Dolgui, D. Ivanov, S. Potryasaev, B. Sokolov, M. Ivanova, and F. Werner, “Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain,” International Journal of Production Research., vol. 58, no. 7, pp. 2184–2199, 2020.

S. Aggarwal, R. Chaudhary, G. S. Aujla, N. Kumar, K. K. R. Choo, and A. Y. Zomaya, “Blockchain for smart communities: Applications, challenges and opportunities,” Journal of Network and Computer Applications., vol. 144, no. July, pp. 13–48, 2019.

A. H. Lone and R. N. Mir, “Consensus protocols as a model of trust in blockchains,” International Journal of Blockchains and Cryptocurrencies, vol. 1, no. 1, p. 7, 2019.

J. Sunny, N. Undralla, and V. Madhusudanan Pillai, “Supply chain transparency through blockchain-based traceability: An overview with demonstration,” Computers and Industrial Engineering., vol. 150, p. 106895, 2020.

F. Idelberger, G. Governatori, R. Riveret, and G. Sartor, “Evaluation of logic-based smart contracts for blockchain systems,” in Lecture Notes in Computer Science, 2016, vol. 9718, , pp. 167–183, no. November 2017

B. Ahubele, B. . Eke, and F. . Onuodu, “On-Blockchain Validation Smart Contract Model on Ethereum Distributed Ledger System for Pharmaceutical Products Distribution,” Journal of Computer Engineering., vol. 23, no. 2, pp. 10–22, 2021.

M. Alharby and A. van Moorsel, “Blockchain Based Smart Contracts : A Systematic Mapping Study,” Computer Science & Information Technology., pp. 125–140, 2017.

Y. C. Hu, T. T. Lee, D. Chatzopoulos, and P. Hui, “Analyzing smart contract interactions and contract level state consensus,” Concurrency Computation, vol. 32, no. 12, pp. 1–17, 2020.

A. Singh, R. M. Parizi, Q. Zhang, K. K. R. Choo, and A. Dehghantanha, “Blockchain smart contracts formalization: Approaches and challenges to address vulnerabilities,” Computers and Security., vol. 88, p. 101654, 2020.

K. Rainer R, B. Price, C. Sanchez-Rodriguez, S. Hogeterp, and Se. Ebrahimi, Introduction to information system supporting and transforming business, Fifth Cana. Wiley, 2019.

P. B. Purwandoko, K. B. Seminar, Sutrisno, and Sugiyanta, “Development of a smart traceability system for the rice agroindustry supply chain in Indonesia,” Information (Switzerland)., vol. 10, no. 10, 2019.

E. Bazhenova, F. Zerbato, B. Oliboni, and M. Weske, “From BPMN process models to DMN decision models,” Information Systems., vol. 83, pp. 69–88, 2019.

T. A. Kurniawan, “Use Case Modeling (UML): Evaluation of some Errors in Practice,” Journal of Information Technology and Computer Science, vol. 5, no. 1, p. 77, 2018.

R. Ekawati, Y. Arkeman, Suprihatin, and TC. Sunarti, “Analysis and Design of Distribution Systems Information Flow in the Sugar Supply Chain in Indonesia,” International Journal of Mechanical Engineering Technology and Applications., no. 7, pp. 47–52, 2021.

S. Z. M. Samsi, R. Tasnim, and O. Ibrahim, “Stakeholders’ Role for an Efficient Traceability System in Halal Industry Supply Chain,” in Annual International Conference on Enterprise Resource Planning & Supply Chain Management, no. March, pp. 1–6, 2011,

L. U. Opara, “Traceability in agriculture and food supply chain: A review of basic concepts, technological implications, and future prospects,” Journal of Food Agriculture and Environment., vol. 1, no. (1), pp. 101–106, 2003.

C. S. Wasson, System Engineering Analysis,Design and Development, vol. 148. United State of America: Wiley series in systems engineering, 2016.

D. Macrinici, C. Cartofeanu, and S. Gao, “Smart contract applications within blockchain technology: A systematic mapping study Telematics and Informatics, vol. 35, no. 8, pp. 2337–2354, 2018.

N. Nizamuddin, K. Salah, M. Ajmal Azad, J. Arshad, and M. H. Rehman, “Decentralized document version control using ethereum blockchain and IPFS,” Computers and Electrical Engineering., vol. 76, no. March, pp. 183–197, 2019.

S. Bangare, S. Gupta, M. Dalal, and A. Inamdar, “Using Node.Js to Build High Speed and Scalable Backend Database Server,” International Journal of Research in Advent Technology., vol. 4, no. May, p. 19, 2016.

Hughes-Croucher, Tom; Wilson, Mike Up and Running with Node.js, O'Reilly Media, ISBN 978-1-4493-9858-3, 2012

https://github.com/electron/electron/releases/tag/v15.0.0-beta.2.




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