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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) Jurnal Ilmu Komputer
T., Thoyyibah
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Critical success factor blockchain technology in renewable energy: systematic literature review Inayatulloh, Inayatulloh; T., Thoyyibah
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 14, No 3: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v14.i3.pp821-833

Abstract

In recent years, blockchain technology has garnered considerable interest in the renewable energy sector. Nonetheless, scholars have yet to investigate the comprehensive assessment of critical success factors (CSFs) for the implementation of blockchain technology in renewable energy. Furthermore, the current research lacks a stage framework or a standardized set of CSFs for blockchain technology. This review study seeks to establish a stage framework and identify a set of common CSFs for the effective adoption of blockchain technology by examining published materials pertinent to the topic under investigation. This evaluation employs a systematic literature review and scientific mapping methodology to objectively ascertain a collection of CSFs. We examined 65 journal articles from the Scopus database and Google Scholar, concentrating on prominent journals, keywords, countries/regions, and documents within the CSF domain of blockchain technology in renewable energy. The findings indicate that nations including China, Australia, the United States, and Germany have made the most significant contributions to this field. Among the 20 CSFs, the foremost five are regulation, integration with current systems, scalability, and security. The proposal delineates four principal research gaps and prospective research trajectories: environmental effect assessment, standardization, user experience and interface design, and management control. The insights and CSF checklist for blockchain technology will facilitate successful exploration and implementation in renewable energy.
Analisis Minat Siswa Dalam Memilih Kompetensi Keahlian Dengan Metode Simple Additive Weighting (SAW) dan Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) Pahira, Wulan; Anggai, Sajarwo; T., Thoyyibah
Jurnal Ilmu Komputer Vol 1 No 2 (2023): Jurnal Ilmu Komputer (Edisi Desember 2023)
Publisher : Universitas Pamulang

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Abstract

Every student who graduates from middle school plans to continue their education to the high school/vocational school level. Vocational Schools are schools that develop and prepare students to be able to work in their respective fields. There are 3 Skill Competencies, namely, 1) Institutional Financial Accounting, 2) Office Management and Business Services, and 3) Computer Network and Telecommunications Engineering. Of these 3 skill competencies, prospective students need to consider them in choosing skill competencies that suit their interests and talents, because after choosing skill competencies students will carry out education for approximately 3 years. In creating this skill competency selection system, the author used 2 methods, namely the SAW method and the MOORA method with 6 criteria: mathematics scores, ICT scores, English scores, math test scores, computer knowledge, and psychological tests. Based on the results of research using these two methods, the results obtained with preference values A1=0.782, A2=0.72, A3= 0.725, then the MOORA method obtained preference values A1=0.601, A2=0.53, and A3=0.527 with these two methods showing the same results as The highest preference value is A1. So that students enter the Institution's Financial Accounting Skills Competency. After testing the system using the SUS method, the percentage results were 75.9% (Acceptable) so that this system can be accepted and used effectively and efficiently in selecting skill competencies.
Co-Authors Anggai, Sajarwo Inayatulloh, Inayatulloh Pahira, Wulan