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All Journal Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Manajemen Terapan dan Keuangan Journal of Marine Research Jurnal Akuatiklestari Jurnal Planoearth JURNAL ILMIAH MAHASISWA AGROINFO GALUH Journal of Tropical Marine Science Journal of Maritime Empowerment Ruwa Jurai: Jurnal Kesehatan Lingkungan Prosiding Seminar Nasional Hasil Penelitian Sains, Teknik dan Aplikasi Industri Fakultas Teknik Universitas Lampung Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Jurnal Pengabdian Fakultas Pertanian Universitas Lampung Jurnal Perikanan
Mayaguezz, Henky
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Physics Public Health Social Sciences Transportation

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Journal : Jurnal Perikanan

 1 
BENTUK DAN KELIMPAHAN MIKROPLASTIK DI PERAIRAN PULAU PASARAN, BANDAR LAMPUNG Tri Banowati, Nurmaya; Hasani, Qadar; Mayaguezz, Henky; Delis, Putu Chintia
Jurnal Perikanan Unram Vol 15 No 1 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i1.1290

Abstract

Microplastics are plastic particles formed from plastic degradation to a size of <5 mm. Microplastics in waters can have adverse effects on marine organisms, aquatic ecosystems, and humans. This study aims to determine the shape, size, color, abundance, and distribution of microplastics and to determine the relationship between water quality and the abundance of microplastics in the waters of Pasaran Island. The study was conducted in November-December 2022 in the waters of Pasaran Island. Preparation and identification of microplastics in water samples were carried out in the following stages: sample preparation, organic material degradation, density separation, sample sorting, and observation of microplastic types. Data analysis was carried out using the principle component analysis (PCA) method using the Statistical Program for Social Science (SPSS) version 24 with physical and chemical parameters of the waters. Based on the study, 4 forms of microplastics were obtained, namely fiber, fragments, films, and pellets. The form of microplastic that dominated the four stations was the fiber form at 45.1%. The highest abundance of microplastics was at Station 2 (mangrove ecosystem) at 22.63 particles/liter. PCA analysis showed that the abundance of microplastics in the form of fibers, fragments, films, and pellets was negatively related to pH, salinity, current, temperature, and brightness. Increasing public awareness in reducing the use of single-use plastics and managing plastic waste needs to be done to reduce the abundance of microplastics in the waters of Pasaran Island.
ARTIFICIAL INTELLIGENCE IN MANGROVE MANAGEMENT POLICY IN INDONESIA: A SYSTEMATIC LITERATURE REVIEW Lestari, Sepnina Like; Mayaguezz, Henky; Febryano, Indra Gumay
Jurnal Perikanan Unram Vol 15 No 6 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i6.2035

Abstract

Mangroves play a crucial role in climate change mitigation and coastal protection, yet they face pressures from environmental degradation and limited policy implementation. This study employs a systematic literature review to examine the role of artificial intelligence (AI) in mangrove management and its policy implications in Indonesia. Findings indicate that AI, through machine learning, deep learning, and integration with remote sensing data, is effective in monitoring, mapping, restoration assessment, and predicting ecosystem changes. These technologies have the potential to support evidence-based policymaking, including prioritizing restoration areas, optimizing resource allocation, and enhancing decision-making systems. However, AI adoption faces challenges related to data quality and availability, institutional capacity, and ethical and governance concerns. The study highlights opportunities for developing inclusive and interdisciplinary AI governance frameworks, which could strengthen policy effectiveness and promote sustainable mangrove management in Indonesia.
Co-Authors Abdullah Aman Damai Ajitio, Ogja Alfya Rahmadita, Dewi Amin, Muhammad Khaliqul Anma Hari Kusuma, Anma Hari Arief Darmawan Aswad, Fatmawati Hajar Athma, Dwi Aji Banowati, Nurmaya Tri Damanhuri, Harfiandri David Julian DEDI SOEDHARMA Delis, Putu Chintia EFFENDI, Eko eko efendi Endah Setyaningrum, Endah Erna Rochana Gumelar, Satria Arif Indra Gumay Febryano Kusumawati, Rr Puji Hastuti Lahay, Almira Lahay, Almira Fardani Lestari, Sepnina Like Mashabi Moh Muhaemin Moh. Muhaemin Muhaemin, Mohammad Muhamad Irfan Affandi Muhammad Ramdhan Muhammad Reza N. Nurjanah Nabila, Nabila NEVIATY PUTRI ZAMANI Nur Effendi, Nur Patria, Yoga Purnama, Muhammad Gufron Qadar Hasani Ramadhan, Muhammad Gilang Rizani Rudhy Akhwady Samusamu, Andrias Steward Saputra, Ishaaq Sista, Ni Putu Fiska Siti Hudaidah SRW, Dyah Wulan Susanti, Oktora Susanto, Gregorius Nugroho Suwandi, Jhons Fatriayadi Suwiryono, Joko Taslim Arifin Tri Banowati, Nurmaya Yulius Yulius Zainal Abidin Zusan, Ulfah Atikah