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Jurnal Ekonomi, Teknologi dan Bisnis
Published by Al-Makki Publisher
ISSN : 2964903X     EISSN : 29629330     DOI : https://doi.org/10.57185/jetbis
Core Subject : Economy, Science, Engineering,
Astronomy Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering
urnal Ekonomi, Teknologi dan Bisnis (JETBIS) is a double blind peer-reviewed academic journal and open access to social and scientific fields. The journal is published monthly once by Al-Makki Publisher. Jurnal Ekonomi, Teknologi dan Bisnis (JETBIS) provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. The journal publishes research articles covering all aspects of Economic, Technology and Business, ranging from Economics, Management, Accounting, entrepreneurship, Business, MSME and Technology that belong to the Economic, Technology and Business context.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 4 No. 9 (2025): JETBIS : Journal of Economics, Technology and Business" : 2 Documents clear
Investment Priorities and Barriers for Desert Tourism in Western Afghanistan: A Mixed-Methods AHP–TOPSIS Assessment Mazloum Yar, Fayaz Gul; Talash, Najeeb Ullah
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 9 (2025): JETBIS : Journal of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i9.212

Abstract

Desert tourism in western Afghanistan presents both investment potential and socio-environmental risks, yet empirical guidance for prioritizing interventions is scarce. This study identifies and ranks investment priorities and persistent barriers to sustainable desert tourism and examines how community participation mediates investor intent. This study used a convergent mixed-methods design. Decision criteria were elicited with the Analytic Hierarchy Process (AHP) from n = 15 regional and sector experts; criteria weights were applied to a TOPSIS ranking of preferences derived from a structured survey of n = 300 stakeholders. Qualitative triangulation was provided by semi-structured interviews (n = 25). AHP pairwise matrices were evaluated for consistency (report CRs in manuscript). Inferential analyses (multiple regression and mediation testing using bootstrap resampling) examined relationships among perceived risks, community partnership mechanisms, and investment intent. Results show AHP/TOPSIS integration produced a clear priority ordering of investment criteria; green-technology and community-partnership mechanisms emerged among top priorities (see Table X). Survey models show statistically significant associations between perceived security risks and reduced investor intent; community participation attenuates this relationship (bootstrapped indirect effect — report point estimate and 95% CI). Qualitative themes corroborate quantitative rankings and clarify context-specific barriers (infrastructure gaps, governance, and security). Combining AHP and TOPSIS with qualitative evidence yields actionable, locally grounded investment priorities for desert tourism policy and planning. Prior to submission, insert exact CR values, regression coefficients, p-values, and bootstrap CIs in the placeholders provided. Limitations include cross-sectional design and sample representativeness.
Analysis of the Impact of Bitcoin Mining Ecosystem Growth on Global Electricity Consumption 2018-2022 Aminata, Jaka; Ismiyati, Ismiyati
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 9 (2025): JETBIS : Journal of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i9.215

Abstract

This study examines the relationship between the Bitcoin mining ecosystem and global primary electricity consumption using variables such as hashrate, Bitcoin market value, mining difficulty, adjusted transaction value, and the number of Bitcoin transactions. A quantitative method is employed, utilizing Vector Error Correction Model (VECM) analysis with E-Views 12. Granger causality analysis reveals a relationship between the number of Bitcoin transactions and hashrate, as well as between Bitcoin market value and Bitcoin transactions. Long-term findings show that Bitcoin hashrate and market value significantly increase global primary electricity consumption, while mining difficulty, adjusted transaction value, and transaction number do not. However, in the short term, mining difficulty and transaction number positively impact energy consumption, while transaction number alone does not have a significant effect.

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