Multi-Criteria Recommender System for Optimization Product Based on Automatic Execution of Smart Contracts in a Blockchain Serious Game

Astrid Novita Putri; Paulus Harsadi; Dwi Remawati; Reza Fuad Rachmadi; Sony Aditya

doi:10.57020/ject.1645722

Multi-Criteria Recommender System for Optimization Product Based on Automatic Execution of Smart Contracts in a Blockchain Serious Game

Abstract

Agriculture is one of the main livelihoods in Indonesia. The country is a major producer of soybean and corn; however, the production output is still suboptimal due to the imbalance between consumption and production. This research integrates Multi-Criteria Recommender System (MCRS) for production optimization with blockchain-based smart contracts in the context of serious games. MCRS is used to evaluate various key factors to generate decision-making recommendations for farmers, optimizing production based on production and consumption levels, with the aim of maximizing farmers' stocks and meeting consumer needs. The approach is simulated in a serious game, with automatic execution of blockchain smart contracts using computer protocols without third-party involvement, ensuring transparency and data security in optimizing the entire production chain automatically and in real time. Optimization is performed using the Multi-Objective Optimization (MOO) method with a simplex function, where Z1 aims to maximize production based on average production, and Z2 aims to maximize production based on average consumption. The developed method uses Weighted Sum for decision-making value and Pareto Front method to optimize multiple issues by finding a solution that meets all objectives. The results showed that production optimization using simplex method resulted in values of Z1 = 7,591.044 and Z2 = 854.598 stocks per capita, with a trade-off value of 57.745. Using the simplex method for the optimization results of the average consumption of 854,598 stock per person/ per capita in 1 year based on the average consumption, it will get an average number of consumptions for soybean and corn commodity. These values indicate a significant increase in production efficiency as the system is able to maintain a balance between the production capacity of farmers and the consumption needs of the community. The Z1 value reflects the increase in stock availability from the farmers' side, while Z2 shows the efficiency in meeting per capita consumption needs. The trade-off value describes the optimal compromise point achieved between the two objectives, supporting the achievement of balance in the agricultural product distribution system. In addition, the implementation of blockchain technology in the agricultural production process contributes significantly to data transparency, security, and efficiency. By utilizing the Tezos Blockchain Network Environment, Unity 3D 2021.3.18f1, Solidity programming language based on Web 3 technology, and Redis Enterprise and MongoDB Compass databases, the system is able to record and execute transactions automatically without manual intervention. This strengthens trust between actors in the supply chain and supports a sustainable digital agriculture ecosystem.

Keywords

Supporting Institution

Institut Tecnology Sepuluh Nopember, Surabaya and Universitas Semarang

Ethical Statement

In this article, the principles of scientific research and publication ethics were followed. This study did not involve human or animal subjects and did not require additional ethics committee approval.

Thanks

The authors would like to thank the Telematics Laboratory, Institut Tecnology Sepuluh Nopember, Surabaya and Universitas Semarang for suport this research.

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Details

Primary Language

English

Subjects

Multimodal Analysis and Synthesis , Computer Gaming and Animation

Journal Section

Review Article

Authors

Astrid Novita Putri This is me
0000-0001-9075-3441
Indonesia

Paulus Harsadi ^*
0000-0002-7901-424X
Indonesia

Dwi Remawati This is me
0009-0002-2051-0684
Indonesia

Reza Fuad Rachmadi This is me
0000-0001-9101-5598
Indonesia

Sony Aditya This is me
0009-0009-7078-8650
Indonesia

Early Pub Date

July 23, 2025

Publication Date

December 31, 2025

Submission Date

February 24, 2025

Acceptance Date

July 20, 2025

Published in Issue

Year 2025 Volume: 5 Number: 1

DOI

https://doi.org/10.57020/ject.1645722

IZ

https://izlik.org/JA85DF88PA

Cite

RIS / Bibtex

APA

Novita Putri, A., Harsadi, P., Remawati, D., Fuad Rachmadi, R., & Aditya, S. (2025). Multi-Criteria Recommender System for Optimization Product Based on Automatic Execution of Smart Contracts in a Blockchain Serious Game. Journal of Emerging Computer Technologies, 5(1), 57-69. https://doi.org/10.57020/ject.1645722