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Bioeconomic Analysis of Pelagic Fish Resources in Bangka Waters Landed at PPN Sungailiat Monischa Br Sebayang; Ni luh Eta Yuspita; Valentin Vina Ratnapuri; Misri Yandi; Wika Noventa
Jurnal Perikanan dan Kelautan Vol 16, No 1 (2026)
Publisher : JURNAL PERIKANAN DAN KELAUTAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33512/jpk.v16i1.32960

Abstract

Bangka Belitung Islands are an archipelago with a water area (65,301 km²) four times larger than its land area. This area has fishery resources that have great potential to support the economy, This study aims to analyze the bioeconomics of pelagic fish resources in Bangka waters landed at Sungailiat Nusantara Fishing Port using a surplus production approach. The research was conducted in January 2025 at PPN Sungailiat, Bangka Regency, Bangka Belitung Islands. Data were collected using descriptive methods and analyzed using the Schaefer surplus production model from January to March 2025. The results showed that the Maximum Sustainable Yield (MSY) was 6005.948 tons/year. From 2019 to 2024, catch production remained below the MSY, indicating potential for optimization. The optimum fishing effort was 5914 trips/year, with 2019–2021 exceeding this level, while 2022–2024 remained below it. These findings suggest that pelagic fisheries management can still be improved by emphasizing sustainability and economic efficiency. It is recommended that resource management policies target fishing efforts approaching the Maximum Economic Yield (MEY) to achieve a balance between catch quantity and economic profit. 
Pelatihan Pemeliharaan Mesin Kapal dan Teknologi Penangkapan untuk Meningkatkan Kemandirian Nelayan di Sungailiat Valentin Vina Ratnapuri; Misri Yandi; Monischa Br Sebayang; Ni Luh Eta Yuspita; Dewi Tumatul Ainin; Ali Rizki Maulana; Muhammad Fathur Rozaki; Nita Anggi Felisha; Heppy Clarisa Sinaga
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 2 (2026): Mei
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/bg46kw25

Abstract

Indonesia sebagai negara maritim memiliki potensi besar di sektor kelautan, dengan nelayan skala kecil sebagai aktor penting dalam ketahanan pangan dan ekonomi nasional. Namun, nelayan di pesisir Sungailiat, Bangka, masih menghadapi keterbatasan teknis, terutama dalam pemeliharaan mesin kapal dan penentuan lokasi penangkapan yang efisien. Kegiatan ini bertujuan meningkatkan kompetensi teknis nelayan melalui pelatihan pemeliharaan mesin kapal dan pemanfaatan teknologi navigasi. Metode yang digunakan adalah pendekatan partisipatif dengan melibatkan 51 nelayan, melalui praktik langsung, diskusi interaktif, dan demonstrasi teknis. Hasil menunjukkan adanya peningkatan signifikan, di mana nilai rata-rata pre-test sebesar 58.6 meningkat menjadi 88.4 pada post-test (kenaikan 29,8 poin; N-gain = 0,72 kategori tinggi). Sebanyak 84.31% peserta mengalami peningkatan skor ≥60%, serta 78% peserta mampu melakukan perawatan dasar mesin secara mandiri setelah pelatihan. Selain itu, pemahaman penggunaan GPS meningkat dari 21% menjadi 65%. Temuan ini menunjukkan bahwa pelatihan berbasis praktik efektif dalam meningkatkan kompetensi teknis nelayan dan berimplikasi pada efisiensi operasional serta penguatan kemandirian. Program ini berpotensi direplikasi dengan dukungan pendampingan berkelanjutan dan akses teknologi yang lebih terjangkau.
SISTEM PENDETEKSI TANGISAN BAYI UNTUK MENENTUKAN KONDISI GROWTH SPURT Tegar Pramudia; Fadliyansyah Ramadhan; Evvin Faristasari; Ni Luh Eta Yuspita
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

A growth spurt is a developmental phase experienced by infants, characterized by increased crying frequency, changes in sleep patterns, and heightened nutritional needs. Parents often struggle to distinguish between crying caused by a growth spurt and crying due to hunger, a wet diaper, or other forms of discomfort. Therefore, this study aims to design and build an infant cry detection system to automatically indicate when a growth spurt is occurring. The developed system utilizes an ESP32 as the main microcontroller and a sound sensor (microphone) as the input to detect the intensity of the infant's crying. Sensor data is processed by the ESP32 based on pre-programmed parameters to determine the likelihood that the infant is experiencing a growth spurt. Detection results are displayed on a 16×2 LCD with an I2C interface, ensuring the information is easily readable for the user. Additionally, an active buzzer serves as an audible indicator when the system detects conditions meeting the growth spurt criteria. The entire circuit is powered by a power bank, making the system portable and suitable for use in various locations.