Article Per Year (5 Year)
p-Index From 2021 - 2026
1.168
P-Index
This Author published in this journals
All Journal JURNAL ILMIAH PLATAX Jurnal Agroekoteknologi Terapan
Paat, Franda Benedicta
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Environmental Science

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : JURNAL ILMIAH PLATAX

 1 
Trade Agreements and Agribusiness Export Performance: Ppml Gravity Evidence From Indonesian Palm Oil Hs 1511 (2015–2023) 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.v14i1.66808

Abstract

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, 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

Abstract

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.; Sumual, Jacline I.; Pandowo, Merinda H. C.; 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

Abstract

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

Abstract

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
Co-Authors Datualo, Diane Natalin Fandy Yones Latuni Johan R. Tumiwa, Johan R. Kawet, Frilly Kawet, Raymond Christian Lumi, Isye Mandey, Silvya Lefina Merinda H. Ch. Pandowo Nagy, Adrian Szilárd Ogi, Imelda W. J. Rondonuwu, Christy Natalia Shinta Wangke, Shinta Soegoto , Agus Supandi Sumual, Jacline I. Tuegeh, Octavia D. M. Tuegeh, Octavia Diana Monica Tumiwa , Johan Reineer Tumiwa, Johan Reineer