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All Journal SAINSMAT SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Prosiding Seminar Nasional Official Statistics
Nugroho, Wisnu Adi Agung
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Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Physics Social Sciences

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Seagrass As A Leading Commodity To Drive The Sustainable Fisheries Sector In Sulampua Jusniar, Jusniar; Nugroho, Wisnu Adi Agung
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132651162024

Abstract

The aquaculture sector is a potential sector because it has long-term outputs with minimal risk. One of the best commodities in the aquaculture sector is seaweed. Indonesia, the world’s largest exporter of seaweed makes this commodity has an incridible value as gold. Furthermore, its high economic value and international trade potential solidify seaweed's nickname as 'green gold'.. Sulampua as the heart of seaweed producers should be able to maximize the potential of this commodity. The economic conditions of the fishing sector have been fluctuating over the last decade. A study of the blue economy is needed to maximize the potential of fishing potential commodities to accelerate economic growth sustainably. This research aims to look at a general view of the potential commodities of seaweed as green gold in the ocean of Sulampua. The variables used to measure seaweed's potential for economic growth in Sulampua are the value of seaweed production, the weight of seaweed production, the number of households in seaweed farming, and the amount of seaweed fishermen. The method used to analyze the impact of seaweed commodity variables on the economic growth of the fishing sector is panel data regression analysis with the Random Effect Model (REM). The selected model shows R-Squared value of 0,4470, which means that 44.70% of the model can explain the influence of the independent variable on the dependent variable. The results show that the variables value of seaweed production and the weight of seaweed production has a significant impact on the economic growth of the fishing sector.
Seagrass As A Leading Commodity To Drive The Sustainable Fisheries Sector In Sulampua Jusniar, Jusniar; Nugroho, Wisnu Adi Agung
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132651162024

Abstract

The aquaculture sector is a potential sector because it has long-term outputs with minimal risk. One of the best commodities in the aquaculture sector is seaweed. Indonesia, the world’s largest exporter of seaweed makes this commodity has an incridible value as gold. Furthermore, its high economic value and international trade potential solidify seaweed's nickname as 'green gold'.. Sulampua as the heart of seaweed producers should be able to maximize the potential of this commodity. The economic conditions of the fishing sector have been fluctuating over the last decade. A study of the blue economy is needed to maximize the potential of fishing potential commodities to accelerate economic growth sustainably. This research aims to look at a general view of the potential commodities of seaweed as green gold in the ocean of Sulampua. The variables used to measure seaweed's potential for economic growth in Sulampua are the value of seaweed production, the weight of seaweed production, the number of households in seaweed farming, and the amount of seaweed fishermen. The method used to analyze the impact of seaweed commodity variables on the economic growth of the fishing sector is panel data regression analysis with the Random Effect Model (REM). The selected model shows R-Squared value of 0,4470, which means that 44.70% of the model can explain the influence of the independent variable on the dependent variable. The results show that the variables value of seaweed production and the weight of seaweed production has a significant impact on the economic growth of the fishing sector.
Analisis Sentimen Berbasis Aspek Pada Ulasan Google Maps Pulungan, Ridson Al Farizal; Nugroho, Wisnu Adi Agung
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2483

Abstract

West Papua is home to several internationally renowned tourist destinations, such as Raja Ampat and Cenderawasih Bay, making the tourism sector one of the key drivers of regional economic growth. However, restrictions on mobility and social interaction during the Covid-19 pandemic led to a significant decline in tourist arrivals in the province. Post-pandemic recovery strategies thus require timely and location-specific data. Google Maps Reviews represent a form of big data that is both up to date and geographically precise, making it useful for assessing and improving the quality of tourism services. This study employs the IndoBERT model for sentiment classification (None, Neutral, Positive, and Negative) across four aspects of tourism: attraction, facilities, accessibility, and price, as reflected in Google Maps reviews. The selected model demonstrates high performance, achieving an F1-score of 71.30% and an accuracy of 93.25%. Findings reveal that the pandemic significantly influenced visitor sentiment, evidenced by a rise in negative reviews during and after the pandemic. This suggests that existing recovery strategies have not been fully effective. Word cloud and thematic map analyses further indicate that the absence or inadequacy of basic facilities and poor accessibility are the primary complaints among tourists. Conversely, the price aspect remained relatively stable, with no substantial increase in negative sentiment, indicating that tourists are more sensitive to service quality than cost. These findings underscore the urgent need for comprehensive improvements in infrastructure and accessibility to support the post-pandemic recovery of tourism in West Papua.
Co-Authors Jusniar Jusniar, Jusniar Pulungan, Ridson Al farizal