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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 5 Documents
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Search results for , issue "Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis" : 5 Documents clear
Optimization of Ethanol Isolation From Molasses Fermentation Mesh Using Batch Distillation: Simulation With Secondary Data Verification Gibson, Gibson; Fatikhah, Maulifah Rofidatul; Mahdi, Naufal; Sugiharto, Agung
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v2i11.75

Abstract

This study focuses on the optimization of ethanol isolation from molasses fermentation mash through batch distillation, employing a simulation approach with secondary data verification. Molasses, a byproduct of sugar production, serves as an economical feedstock for ethanol production. The aim is to enhance the efficiency of the distillation process, maximizing ethanol yield while minimizing energy consumption. The research employs process simulation software to model and analyze the batch distillation of ethanol from molasses fermentation mash. The simulation incorporates secondary data verification, ensuring the accuracy and reliability of the model against experimental results from previous studies. This iterative process allows for the refinement of simulation parameters, ultimately improving the predictive capability of the model. Key factors such as reflux ratio, distillation time, and temperature profile are systematically varied to identify optimal conditions for ethanol isolation. The study also considers the impact of impurities present in the fermentation mash on the distillation process. Through sensitivity analysis, the influence of different variables on ethanol yield and purity is assessed, aiding in the identification of critical parameters for process optimization. Results obtained from the simulation and verified against experimental data reveal insights into the optimal operational conditions for ethanol isolation. The findings contribute to the development of more efficient and sustainable practices in ethanol production from molasses, offering potential economic and environmental benefits. In conclusion, this research bridges the gap between theoretical simulations and practical applications by optimizing the batch distillation process for ethanol isolation from molasses fermentation mash. The incorporation of secondary data verification enhances the reliability of the simulation, providing valuable insights for process engineers and researchers working towards the advancement of ethanol production technologies
The Influence of Visa-on-Arrival and Digital Nomad Policies on Local Economic Growth: A Study on Super Priority Tourism Destinations in Post-G20 Indonesia Maharani, Aulia
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/76kgny46

Abstract

Indonesia's G20 Presidency in 2022 was followed by a breakthrough policy to expand Visa-on-Arrival (VoA) and was taken advantage of by the global digital nomad wave. This phenomenon has the potential to be a catalyst for economic recovery, especially in Super Priority Tourism Destinations, but its empirical impact has not been measured. This study aims to analyze the influence of VoA and digital nomad policies on local economic growth, map their contributions, and evaluate their effectiveness in post-G20 priority destinations. The study uses a mixed-methods approach with a sequential explanatory design. Quantitative data (questionnaires, BPS time series data) were analyzed statistically descriptive and inferential, while qualitative data (interviews, FGDs) were analyzed thematically. The study was conducted in five Super Priority Destinations. The VoA policy contributed significantly to the recovery of tourist visits (+250.6% yoy, 2022), but the impact was uneven and concentrated in destinations with mature infrastructure such as Bali. Digital nomads contribute 2.8 times more than ordinary tourists with unique spending patterns (long-term rentals, co-working spaces, daily necessities), creating a steady economic flow but fueling gentrification challenges. There is a positive synergy between VoA and digital nomads in boosting the local economy. For inclusive and sustainable growth, policy interventions such as special digital nomad visas, MSME liaison programs, and gentrification mitigation regulations are needed. The implications of the findings are the basis for strategic policy recommendations for stakeholders.
Creative Economy Dynamics in the Era of Algorithmic Culture: Indonesia's Content Creator Strategy in Monetizing Content on TikTok and YouTube Shorts Platforms (Behavioral Economics Approach) Fauziyyah, Ghina
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/kxvrpp29

Abstract

The development of Indonesia's digital creative economy is increasingly influenced by algorithmic culture, where platforms such as TikTok and YouTube Shorts dictate the visibility and monetization of content. Content creators are required to constantly adapt to the uncertain logic of platforms, creating unique and complex economic dynamics. This research aims to: (1) Map the monetization strategy of Indonesian content creators on the TikTok and YouTube Shorts platforms; (2) Analyze the influence of algorithmic culture on their economic decision-making; and (3) Explain the strategy through a behavioral economics approach. The research used the mixed-methods method sequentially (explanatory sequential). Qualitative data was collected through in-depth interviews with 20 content creators and content analysis. Quantitative data was obtained through a survey of 200 respondents to test the qualitative findings. Research reveals that creators adopt highly diversified monetization strategies to overcome algorithmic uncertainty. High levels of algorithmic literacy correlate with more consistent income. Key findings suggest that economic decision makers are heavily influenced by cognitive biases such as present bias (prioritizing instant rewards) and optimism bias (excessive expectations of viral success). In conclusion, a monetization strategy is a form of behavioral adaptation to algorithmic pressures. The implications of the findings highlight the need for improved algorithm literacy and policy support to create a more sustainable and less platform-dependent creative economy ecosystem, as well as the importance of behavioural economics approaches in understanding the platform economy.
Sustainable Business Model Post-Fuel Subsidy: MSME Strategies in Adopting Green Energy Technology to Increase Efficiency and Competitiveness (Study on Culinary and Fashion MSMEs Sylvia, Sylvia; Magfiroh, Diana
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/mcpnj231

Abstract

The revocation of fuel subsidies creates significant economic pressure on MSMEs, especially the culinary and fashion sectors, through increased operational costs that erode competitiveness. The transformation towards a sustainable business model through the adoption of green energy technology is an urgent need to build business resilience. This study aims to: (1) Analyze the impact of the revocation of fuel subsidies on the cost structure and competitiveness of MSMEs; (2) Identify the most feasible green energy technologies; (3) Formulate an integrated sustainable business model. The research uses a mixed-methods explanatory sequential approach. Quantitative data was collected through a survey of 301 MSMEs, followed by in-depth interviews and FGDs for qualitative data. Data analysis uses inferential statistics and thematic analysis. The increase in fuel increased the operating costs of culinary and fashion MSMEs by an average of 22.3% and 18.7%. Small-scale solar panels are the most technically feasible (score 4.2/5), while biomass stoves are the most economically feasible (ROI 25-35%). Successfully formulated a "Green-Driven Circular Model" based on three pillars: operational efficiency, green value proposition, and multi-stakeholder collaboration. The adoption of green energy technology has proven to be effective as a post-subsidy adaptation strategy. The implementation of a sustainable business model requires collaboration between the government (incentives), technology providers (mentoring), and MSMEs. The findings of this study provide strategic guidance for MSMEs and policy makers in the transition to a green economy.
Digitalization of Traditional Markets in Indonesia: Measuring the Impact of Government E-Marketplace Applications on Merchant Financial Turnover and Inclusion (Structural Equation Modeling - SEM Approach) Arum, Jupita Sekar
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/zhvwsv45

Abstract

The wave of digital transformation and competition with private e-commerce threatens the existence of Indonesia's traditional market. In response, the government launched a special e-marketplace application to digitize traders' operations. However, the effective impact of such applications on traders' economic performance and financial inclusion has not been comprehensively measured. This study aims to analyze the factors that affect the adoption of government e-marketplace applications and measure the direct and indirect impact of their use on increasing the turnover of traditional traders by examining the role of financial inclusion as a mediator. This quantitative research uses the Structural Equation Modeling (SEM) approach. The data was collected through a questionnaire of 300 traditional traders in several major cities who had used government apps. The data analysis technique was carried out by path analysis and mediation test. Perception of usefulness and social support have been shown to significantly affect the use of the app, while ease of use is insignificant. The use of applications has a significant positive impact on increasing turnover, both directly and indirectly. Key findings reveal that financial inclusion acts as a very strong partial mediator, with most of the impact on turnover transmitted through increased access to digital finance. The success of traditional market digitization is highly dependent on the integration of financial features in digital platforms. The implication of the policy is the need to focus on socializing economic benefits, collaboration with financial service providers, and technical assistance for traders. This strategy not only increases turnover but also accelerates financial inclusion in the informal sector.

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