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Literasi Matematis dan Pemanfaatan Potensi Ekonomi Biru pada Nelayan Desa Gempolsewu Kabupaten Kendal. Muhamad Aris Sunandar; Nur Aliyyah Irsal; Sudibyanung Sudibyanung; Dani Iswahyuni
Jurnal Sosial Ekonomi Kelautan dan Perikanan Vol 21, No 2 (2026): Desember 2026 (Article in Press)
Publisher : Balai Besar Riset Sosial Eonomi Kelautan dan Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jsekp.v21i2.19205

Abstract

Perikanan skala kecil merupakan pilar penting agenda blue economy yang inklusif. Namun, pengambilan keputusan nelayan sering dibatasi oleh numerasi yang rendah dan institusi pasar yang timpang. Penelitian ini bertujuan untuk mengukur literasi matematis nelayan pada domain formulate, employ, dan interpret  serta menganalisis keterkaitannya dengan pemanfaatan ekonomi biru melalui nilai tangkapan, struktur biaya, efisiensi, dan kesejahteraan Anak Buah Kapal (ABK). Desain mixed-methods menggabungkan tes literasi matematis kontekstual, wawancara mendalam, dan pemetaan institusi. Survei dilakukan pada 30 nelayan, sedangkan wawancara melibatkan 18 informan kunci. Hasil menunjukkan kelemahan persisten pada formulate dan interpret. Proporsi responden kategori rendah masing-masing 43,33% dan 46,67%, sementara employ didominasi kategori sedang (46,67%). Temuan ini berkaitan dengan friksi pasar seperti ketergantungan pada tengkulak, praktik lelang yang kurang transparan, dan koperasi yang tidak aktif. Kondisi tersebut menekan harga jual dan margin. Nilai per trip turun dari Rp4.650.000 pada musim puncak menjadi Rp865.000 pada musim peralihan. Temuan ini menegaskan pentingnya keputusan portofolio dan penentuan waktu penjualan. Kesejahteraan ABK juga rentan karena pendapatan bulanan masih berada di bawah standar upah minimum setempat. Selain itu, BBM menjadi komponen biaya terbesar. Karena itu, efisiensi konsumsi energi dan pencatatan biaya menjadi prioritas. Integrasi perangkat numerasi (logbook, pelatihan interpretasi harga, dan analisis titik impas) dengan reformasi kelembagaan berbasis komunitas (penguatan koperasi dan transparansi pasar) menawarkan jalur praktis menuju blue economy desa yang lebih adil dan berkelanjutan. Title: Mathematical Literacy and the Utilization of Blue Economy Potential Among Fishermen in Gempolsewu Village, Kendal Regency    Small-scale fisheries are a key pillar of an inclusive blue economy agenda. However, fishers’ decision-making is often constrained by low numeracy and unequal market institutions. This study aims to measure fishers’ mathematical literacy across the formulate, employ, and interpret domains and to analyze its relationship with blue economy utilization, as measured by catch value, cost structure, efficiency, and crew (ABK) welfare. A mixed-methods design combines a contextual mathematical literacy test, in-depth interviews, and institutional mapping. The survey involved 30 fishers, while interviews covered 18 key informants. The results show persistent weaknesses in formulating and interpreting. The proportions of respondents in the low category are 43.33% and 46.67%, while employ is dominated by the medium category (46.67%). These findings are associated with market frictions such as dependence on middlemen, less transparent auction practices, and inactive cooperatives. These conditions suppress selling prices and margins. Trip value declines from IDR 4,650,000 in the peak season to IDR 865,000 during the transition season. This underscores the importance of portfolio decisions and sales timing. ABK welfare is also vulnerable because monthly earnings remain below the local minimum wage standard. In addition, fuel is the largest cost component. Therefore, improving energy-use efficiency and cost record keeping becomes a priority. Integrating numeracy tools (logbooks, price interpretation training, and break-even analysis) with community-based institutional reforms (cooperative strengthening and market transparency) offers a practical pathway toward a fairer and more sustainable village-level blue economy. 
Environmental Factors Affecting Carbon Stock in Land Use Rights (HGU) Land in Tanah Laut Regency, South Kalimantan Province Lutfia Nursetya Fuadina; Agung Nugroho Bimasena; Nur Aliyyah Irsal
TATALOKA Vol 28, No 1 (2026): Volume 28 No 1, February 2026
Publisher : Universitas Diponegoro Publishing Group, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tataloka.28.1.27-41

Abstract

By granting Land Use Rights (HGU) for plantation and agricultural sectors, which in the future is expected to facilitate carbon trading as well, the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) plays a crucial role in adapting for climate change. However, the authorities claimed that implementing the Polluter Pay Principles (PPP) for companies producing GHG emissions, such as palm oil plantations, are real steps in increasing the potential for carbon absorption and trading in Indonesia. Therefore, efforts are needed to clarify this statement by analyzing the impact of vegetation cover converted from forest to HGU areas towards the carbon stock values. The purpose of this study was to identify the variables influencing the spatial distribution of carbon stock values in the Tanah Laut Regency's HGU area. In order to map regions with high carbon stocks and meet emission reduction goals, the findings are then utilized to generate policy suggestions in the domain of sustainable plantation. The research employed quantitative methods alongside spatial analysis techniques, as well as qualitative methods through interviews with stakeholders in HGU management, including the Ministry of ATR/BPN, the South Kalimantan Regional Office, the Tanah Laut Regency Government, and HGU holders. The analysis results indicate that the carbon stock value differs across each HGU commodity, specifically rubber, cocoa, and palm oil. The mapping results of carbon stock distribution reveal that areas with minimal conversion possess high potential for carbon absorption.  The Geographically Weighted Regression (GWR) analysis indicates that each variable influences locations differently. Water quality index and built-up land area show opposite values to carbon stock. The forest area has a positive value so that increasing forest area in a location will be directly proportional to the increase in carbon stock value, while the HGU area has a range of positive to negative values. It is expected that the study's findings will contribute to manage HGU permits more sustainably by taking environmental issues into account, particularly regarding assessing carbon stocks.