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1711053PublishedVol 9 · Issue 4

Carbtrade Platform: Technology Architecture and User Acceptance in Indonesian Waste Management - A Jangjo Technology Indonesia Case Study

Esther Dangosu Dr. Maulahikmah Galinium Dr. Ir. Mohammad A. Soetomo

Subject area: Science,Engineering and Technology  ·  Area of research: Waste Management Technology

Abstract

This research investigates the development and user acceptance of CarbTrade, a comprehensive web-based platform for waste management and carbon offset tracking in Indonesia, using Jangjo Technology Indonesia as a primary case study. The study employs an integrated approach combining technology architecture analysis with Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) frameworks enhanced by COBIT 2019 governance principles. Data collected from 48 respondents across 15 Indonesian waste management companies reveals that performance expectancy (? = 0.690, p < 0.001) and governance quality significantly influence adoption intention, while traditional cultural factors show limited impact. The platform architecture built using Next.js 15, Laravel 10, and PostgreSQL 17, achieved 99.7% system uptime with 73% database optimization improvement. Results demonstrate that governance frameworks and operational maturity are primary drivers of successful environmental technology implementation, explaining 57.3% of variance in behavioral intention. This study contributes novel insights for sustainable technology development in emerging markets.

Keywords

Technology Acceptance Model, UTAUT, COBIT, Waste Management Hierarchy Model, Environmental Technology Adoption

How to cite this paper

Esther Dangosu, Dr. Maulahikmah Galinium, Dr. Ir. Mohammad A. Soetomo "Carbtrade Platform: Technology Architecture and User Acceptance in Indonesian Waste Management - A Jangjo Technology Indonesia Case Study" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 894-901
Esther Dangosu, Dr. Maulahikmah Galinium, Dr. Ir. Mohammad A. Soetomo "Carbtrade Platform: Technology Architecture and User Acceptance in Indonesian Waste Management - A Jangjo Technology Indonesia Case Study" Iconic Research And Engineering Journals, vol. 9, no. 4, Oct. 2025
Esther Dangosu, Dr. Maulahikmah Galinium, Dr. Ir. Mohammad A. Soetomo (2025). Carbtrade Platform: Technology Architecture and User Acceptance in Indonesian Waste Management - A Jangjo Technology Indonesia Case Study. Iconic Research And Engineering Journals, 9(4).
Esther Dangosu, Dr. Maulahikmah Galinium, Dr. Ir. Mohammad A. Soetomo "Carbtrade Platform: Technology Architecture and User Acceptance in Indonesian Waste Management - A Jangjo Technology Indonesia Case Study" Iconic Research And Engineering Journals, vol. 9, no. 4, Oct. 2025.
@article{1711053,
      author = {Esther Dangosu, Dr. Maulahikmah Galinium, Dr. Ir. Mohammad A. Soetomo},
      title = {Carbtrade Platform: Technology Architecture and User Acceptance in Indonesian Waste Management - A Jangjo Technology Indonesia Case Study},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {4},
      pages = {894-901},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711053.pdf},
      abstract = {This research investigates the development and user acceptance of CarbTrade, a comprehensive web-based platform for waste management and carbon offset tracking in Indonesia, using Jangjo Technology Indonesia as a primary case study. The study employs an integrated approach combining technology architecture analysis with Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) frameworks enhanced by COBIT 2019 governance principles. Data collected from 48 respondents across 15 Indonesian waste management companies reveals that performance expectancy (? = 0.690, p < 0.001) and governance quality significantly influence adoption intention, while traditional cultural factors show limited impact. The platform architecture built using Next.js 15, Laravel 10, and PostgreSQL 17, achieved 99.7% system uptime with 73% database optimization improvement. Results demonstrate that governance frameworks and operational maturity are primary drivers of successful environmental technology implementation, explaining 57.3% of variance in behavioral intention. This study contributes novel insights for sustainable technology development in emerging markets.},
      keywords = {Technology Acceptance Model, UTAUT, COBIT, Waste Management Hierarchy Model, Environmental Technology Adoption},
      month = {October},
  }