Garuda - Garba Rujukan Digital

Evaluation of Tourist Satisfaction Levels in Mangrove Ecotourism Using the Net Promoter Score (NPS) Method Latuni, Fandy Yones; Mandey, Silvya Lefina; Soegoto , Agus Supandi; Kawet, Raymond Christian; Rondonuwu, Christy Natalia; Paat, Franda Benedicta; Datualo, Diane Natalin; Lumi, Isye
Jurnal Agroekoteknologi Terapan (Applied Agroecotechnology Journal) Vol. 6 No. 2 (2025): ISSUE JULY-DECEMBER 2025
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/jat.v6i2.65868

This study aims to assess the level of tourist satisfaction with the Darunu Mangrove Ecotourism Village using the Net Promoter Score (NPS) method. This approach was chosen because it is effective in measuring not only tourist satisfaction but also loyalty behavior, which is reflected in tourists' willingness to recommend the destination to others. This study used a quantitative descriptive method involving 100 tourists selected by accidental sampling. Data were obtained through field observations, brief interviews, and a questionnaire using a Likert scale. The findings show that overall tourist satisfaction is in the “good” category, with an average NPS score of 52.7. The highest-ranking indicators are friendly environmental conditions (72), intention to revisit (69), affordability (68), and destination attractiveness (66). Conversely, the facilities (40) and accessibility (48) indicators have the lowest scores, indicating the need for improvements in infrastructure and visitor comfort. The results demonstrate that community involvement and sustainable environmental management play a crucial role in shaping positive tourism experiences. Furthermore, this study provides strategic insights for destination managers and local governments to enhance the development of sustainable mangrove-based ecotourism in the coastal areas of North Minahasa. Keywords: tourist satisfaction, mangrove ecotourism, tourist loyalty, Net Promoter Score (NPS), destination management, sustainable tourism

AI Capabilities as Mediators in Marketing Innovation: A Cross-Cultural Study of Technology Features and User Engagement Among Generation Z in Indonesia and Hungary Roring, Ferdy; Nagy, Peter; Tumiwa, Johan Reineer; Nagy, Adrian; Paat, Franda Benedicta
Jurnal Ilmiah PLATAX Vol. 14 No. 1 (2026): ISSUE JANUARY-JUNE 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v14i1.66808

This study investigates the mediating role of AI capabilities in the relationship between technology features and user engagement among Generation Z, with a cross-cultural focus on Indonesia and Hungary. The aim is to explore how cultural and technological contexts shape marketing innovation and user behavior. The research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi-Group Analysis (MGA) to analyze survey data from 743 Generation Z respondents (415 in Indonesia and 328 in Hungary). The study examines direct and mediated relationships between technology features, AI capabilities, and user engagement, and tests cross-cultural differences. The results reveal that AI capabilities significantly mediate the effect of technology features on user engagement, with notable differences between the two countries. Indonesian Gen Z emphasizes the direct and mediated effects of technology features, leveraging immersive and interactive platforms, while Hungarian Gen Z prioritizes ethical and sustainability-driven AI solutions as key drivers of engagement. The study is limited to Generation Z in two countries, and future research could expand the scope to include other generational cohorts and regions. Longitudinal studies and behavioral data could also enhance the understanding of evolving user engagement dynamics. The findings highlight the importance of integrating AI-driven personalization, interactivity, and predictive analytics into marketing strategies to enhance engagement. Businesses targeting Gen Z should tailor their approaches to specific cultural and technological contexts, leveraging immersive technologies in Indonesia and sustainability-focused AI in Hungary. This research underscores the potential of AI and technology features to shape ethical and sustainable consumption patterns among Generation Z, informing corporate social responsibility and digital marketing practices. The study provides a quantitative hierarchy of relationships between technology features, AI capabilities, and user engagement, validated across culturally diverse contexts. It offers actionable insights for businesses and contributes to the theoretical understanding of cross-cultural technology adoption and marketing innovation. Keywords: Generation Z, AI Capabilities, User Engagement, Technology Features, Cross-Cultural Analysis

Developing the Business Resilience - Technopreneur and Digital Transformation Model Tuegeh, Octavia Diana Monica; Nagy, Adrian Szilárd; Paat, Franda Benedicta; Tumiwa , Johan Reineer; Kawet, Frilly
Jurnal Agroekoteknologi Terapan (JAT) Vol. 6 No. 1 (2025): ISSUE JANUARY-JUNE 2025
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/jat.v6i2.64305

Abstract: This research aims to develop a business resilience model on MSMEs during COVID-19 theoretically and empirically. This research uses the TCM method for literature review analysis and SEM for model testing. The object population of this research is MSMEs in a rural area in Indonesia. The sample of this research is 301 MSME owners who are still surviving during COVID-19. The results reveal no significant direct influence of government support assistance on business resilience. However, government support assistance, knowledge management, and innovation through technopreneur have a significant impact on digital transformation, and then digital transformation on business resilience. The research made new theoretical and empirical contributions of MSMEs to utilize government support in business resilience models and knowledge management and innovation concerning entrepreneurship. Keywords: Business resilience; COVID-19; digital transformation; government assistance; innovation; knowledge management; MSMEs; technopreneur.

Trade Agreements and Agribusiness Export Performance: Ppml Gravity Evidence from Indonesian Palm Oil Hs 1511 (2015–2023) Tuegeh, Octavia Diana Monica; Paat, Franda Benedicta; Tumiwa, Johan R.
Jurnal Agroekoteknologi Terapan (JAT) Vol. 7 No. 1 (2026): ISSUE JANUARY-JUNE 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/jat.v7i1.66783

This study examines Indonesia’s export performance in an agribusiness product at the HS 6-digit level (HS 1511) over 2015-2023 by combining revealed competitiveness indicators and structural gravity estimation. First, we compute the Revealed Comparative Advantage (RCA) index to assess Indonesia’s export specialization relative to world trade. Second, we estimate a Poisson pseudo-maximum likelihood (PPML) gravity model with year fixed effects to identify the roles of destination market size, trade costs, and trade agreement coverage. Bilateral exports are constructed from UN Comtrade, macroeconomic controls are drawn from the World Development Indicators, bilateral distance and dyadic controls are obtained from CEPII, and trade agreement status is coded from DESTA at the dyad–year level using an in-force rule. Results indicate that Indonesia retains a strong revealed comparative advantage (RCA > 1 in all years), although the average RCA declines between early and late sub-periods. Gravity estimates show that destination market size (particularly population) positively predicts exports, while distance reduces expected export values. Importantly, in-force regional trade agreements are associated with significantly higher bilateral exports, approximately 48% larger export values, ceteris paribus, highlighting the relevance of policy-enabled market access alongside traditional gravity fundamentals. These findings emphasize the joint importance of competitiveness, trade-cost reduction, and effective utilization of trade agreements for sustaining and expanding Indonesia’s agribusiness exports. Keywords: comparative advantage, gravity model, Indonesia, PPML, trade agreements

Unmasking The Hidden Costs of Ecotourism: A Green Accounting Decision Support System Using Spatial Macro-Tourist Data Tuegeh, Octavia D. M.; Nagy, Adrian Szilard; Paat, Franda Benedicta
Jurnal Ilmiah PLATAX Vol. 14 No. 1 (2026): ISSUE JANUARY-JUNE 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v14i1.66913

While ecotourism is frequently championed as a sustainable solution, the influx of mass tourism often generates hidden ecological costs that remain unrecorded in conventional accounting frameworks. This study aims to design a spatial Decision Support System (DSS) model that integrates green accounting principles with macro-tourism data. Employing the Simple Additive Weighting (SAW) method, this research evaluates the disparity between tourist volume (14.5 million movements) and community-based accommodation capacities within the ecotourism epicenter of North Sulawesi, Indonesia. Two novel spatial accounting indicators are introduced: the Local Carrying Capacity Ratio (LCCR) and the Estimated Environmental Cost (EEC), monetized in the domestic currency (IDR). The DSS algorithm reveals a sustainability paradox: North Minahasa Regency, despite recording the lowest tourist volume (650,320 visitors), emerges as the most critical ecological zone (preference score of 0.586). This vulnerability is attributed to a severe infrastructure deficit that precipitates an extreme overshoot in carrying capacity (LCCR 26.20). Conversely, Manado City implicitly accrues an annual ecological debt exceeding IDR 24.5 billion driven by emissions and waste. These findings underscore that the omission of macro-spatial metrics from regional balance sheets can result in misguided investment policies. Ultimately, the proposed DSS model offers a strategic framework for local governments to formulate equitable carbon levies and reallocate tourism revenues toward the development of local community infrastructure. Keywords: Carrying Capacity, Decision Support System, Ecotourism, Green Accounting, Hidden Costs

Big Data Analytics with Blockchain Technology for Understanding Tourist Preferences in Ecotourism Ogi, Imelda W. J.; Mangindaan, Harley A. B.; Pandowo, Merinda H. C.; Mintardjo, Christofell Mardy O.; Sumual, Jacline I.; Paat, Franda Benedicta; Tuegeh, Octavia D. M.
Jurnal Ilmiah PLATAX Vol. 14 No. 1 (2026): ISSUE JANUARY-JUNE 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v14i1.67295

This study examines the integration of big data analytics and blockchain technology to understand tourist preferences in the context of ecotourism. The research was conducted in Manado, Indonesia, and employed a mixed-methods design combining digital tourism data analysis, surveys, semi-structured interviews, and blockchain prototype implementation. The study analyzed 500 tourist reviews collected from major online platforms, involved 150 tourism SMEs as primary respondents, and piloted the proposed system with 50 selected SMEs. Big data analytics was used to identify dominant tourist preferences and segment visitors based on their behavioral patterns. At the same time, blockchain technology was implemented to improve the security, traceability, and integrity of preference data. The results revealed four major tourist segments: family travelers, solo travelers, young travelers, and international tourists, each characterized by different preference combinations related to accommodation, nature tourism, culinary experiences, and tourism services. The findings also showed that blockchain significantly strengthened data security by reducing recorded data leakage and violation cases to zero after implementation. In addition, SMEs that used preference-based insights were able to improve service personalization and reported positive business outcomes, particularly in accommodation and nature-based tourism services. User evaluation further indicated high levels of acceptance across ease of use, operational efficiency, data security, and personalization quality. Overall, the study demonstrates that integrating big data analytics and blockchain technology provides a valuable framework for delivering secure, data-driven, and personalized ecotourism services. Keywords: Big data analytics; Blockchain; Ecotourism; Service personalization; Tourist preferences

Agricultural Food Supply Chain Resilience and Environmental Health: The Roles of Collaboration, Flexibility, And Agility Wangke, Shinta Jeanette C.; Tumiwa, Johan Reineer; Tuegeh, Octavia Diana Monica; Paat, Franda Benedicta
Jurnal Ilmiah PLATAX Vol. 14 No. 1 (2026): ISSUE JANUARY-JUNE 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v14i1.67297

Agricultural food supply chains are increasingly exposed to disruptions caused by climate change, market volatility, logistical bottlenecks, and operational uncertainty, with important implications for food continuity and environmental health. This study examines the roles of supply chain collaboration, supply chain flexibility, and supply chain agility in shaping agrifood supply chain robustness in the laying hen sector of North Sulawesi, Indonesia. A quantitative cross-sectional design was employed, and data were collected from 180 valid respondents involved in the laying hen supply chain between July and October 2025. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) to test both direct and indirect relationships among the latent constructs. The results show that supply chain collaboration and supply chain flexibility have significant positive direct effects on agrifood supply chain robustness. Supply chain agility also has a significant direct effect and emerges as the strongest predictor of robustness. In addition, agility significantly mediates the effects of collaboration and flexibility on robustness, indicating that coordinated relationships and adaptive structures become more effective when translated into rapid operational responses. These findings suggest that resilient agricultural food supply chains depend on the integration of collaboration, flexibility, and agility to maintain supply continuity, reduce disruption impacts, and support safer and more sustainable food systems. The study contributes to the literature on agrifood resilience by linking dynamic supply chain capabilities with broader concerns of environmental health and offers practical implications for agribusiness managers and policymakers in developing regions. Keywords: Agrifood supply chain; Environmental health; Laying hen industry; Supply chain agility; Supply chain resilience

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