Article Per Year (5 Year)
p-Index From 2021 - 2026
1.452
P-Index
This Author published in this journals
All Journal Journal of Environmental Engineering and Sustainable Technology JFMR (Journal of Fisheries and Marine Research) Jurnal Kelautan Nasional Asian Journal of Aquatic Sciences Jurnal HIDROPILAR
Fuad, M. Arif Zainul
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Mechanical Engineering

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

Found 7 Documents
Search

 1 
Pembangunan Ekoregion Laut Provinsi Jawa Timur (Level-3) Berdasarkan Parameter Hidrooseanografi: Building Up Marine Ecoregion of East Java Province by Hydro-Oceanography Parameters Fathurrahman K., M.; Fuad, M. Arif Zainul; Pranowo, Widodo Setiyo
Jurnal Hidropilar Vol. 9 No. 1 (2023): Jurnal Hidropilar
Publisher : Sekolah Tinggi Teknologi Angkatan Laut (STTAL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/hidropilar.v9i1.277

Abstract

Potensi serta keanekaragaman hayati yang tinggi di Provinsi Jawa Timur memerlukan perlindungan dari berbagai macam ancaman serta pengelolaan lingkungan hidup yang baik. Salah satu acuan yang dapat digunakan dalam perencanaan PPLH adalah pembuatan wilayah ekoregion. Pembangunan ekoregion laut memiliki peran dalam pembuatan kategori wilayah berdasarkan ciri dan karakteristik perairan. Oleh sebab itu, penelitian ini dilakukan agar dapat mempermudah dalam menentukan langkah yang tepat dalam penetapan PPLH, terutama di Provinsi Jawa Timur. Pembuatan Ekoregion Laut (E.L) Jawa Timur dilakukan melalui 2 tahap, yaitu tahap delineasi dan tahap deskripsi. Pada tahap delineasi, E.L Jawa Timur menghasilkan 11 sub-ekoregion level-3 baru di sekitar perairan Jawa Timur. Pada tahap deskripsi, Perairan Jawa Timur memiliki nilai kadar Oksigen terlarut 4,02-4,98 Mg/L, Klorofil 0,11-0,90 Mg/L, pH 8,01-8,51, Suhu 27,63-28,82 °C, Salinitas 32,65-34,01 ppt. Penelitian ini diharapkan dapat menjadi acuan berbentuk pengendalian terhadap kerusakan lingkungan, arahan dalam pemanfaatan sumberdaya alam maupun informasi mengenai karakteristik perairan serta menjadi unit analisis dalam menetapkan daya dukung dan daya tampung lingkungan.
OIL SPILL TRAJECTORY SIMULATION AND ENVIRONMENTAL SENSITIVITY INDEX MAPPING : A CASE STUDY OF TANJUNG PRIOK, JAKARTA Fuad, M. Arif Zainul
Journal of Environmental Engineering and Sustainable Technology Vol 8, No 2 (2021)
Publisher : Directorate of Research and Community Service (DRPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jeest.2021.008.02.4

Abstract

Potential oil spills can be sourced from ship collisions, offshore oil drilling leaks, or refueling activities between ships. Tanjung Priok Port, Jakarta as the busiest port in Indonesia has the possibility of an oil spill disaster. Fuel oil could pollute the environment both in coastal and marine areas. As an anticipatory step, it is necessary to carry out an oil spill modeling simulation for contingency planning. Oil spill modeling was carried out using GNOME software using wind and ocean currents data as universal movers that move oil in the waters. The scenario used in this study is a spill occurred in March, the spill occurred during refueling between ships as much as 1500 barrels. The simulation results show that dominant oil spreads to the east and northeast and can reach sensitive areas in less than 4 days. Environmental sensitivity index mapping is carried out in areas that are predicted to be affected by an oil spill using ESI guidance from IPIECA. ESI map  shows that the research area can be categorized into 5 categories from less sensitive (1B) to very sensitive (10A). Sensitive area is an intertidal area which is a habitat for mangroves and aquaculture.
APPLICATION OF SAR REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN COASTLINE CHANGE STUDIES – A CASE STUDY OF COASTLINE CHANGE DUE TO THE 2018 TSUNAMI IN TANJUNG LESUNG, BANTEN Fuad, M. Arif Zainul; Effendi, Viola Rizka; Dewi, Citra Satrya U
Asian Journal of Aquatic Sciences Vol. 5 No. 1 (2022): April
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Abstract

On December 22, 2018, a tsunami was triggered by a landslide from the eruptive material of Mount Krakatau which hit Tanjung Lesung Beach, Tanjung Jaya Village, Panimbang District, Pandeglang Regency, Banten Province. The disaster caused damage to infrastructure, changes in coastline, and claimed lives and property. This study aims to determine the changes in the Tanjung Lesung coastline due to the Tsunami. The data used is Sentinel-1 Satellite imagery which was acquired before and after the disaster, which was on 19 and 23 December 2018 respectively. Image processing was carried out on the Sentinel Application Platform (SNAP). The shoreline delineation utilizes the tracing technique in Arc-GIS. Calculation of shoreline changes using Digital Shoreline Analysis System (DSAS) tools with a Net Shoreline Movement (NSM) approach with the length and width of the transect line of 300 and 50 meters, respectively. The results showed that the shoreline changes that occurred were dominated by abrasion with the highest value of 18.89 m located on the west coast of Tanjung Lesung in Tanjung Jaya Village, Panimbang District, Pandeglang Regency. In addition, there is also accretion in the eastern area of ​​Tanjung Lesung Beach, although it only occurs in a small area with a coastline extension of 10.41 m.
Analisis Delineasi Garis Pantai dengan Metode Object-Based Image Analysis di Kabupaten Malang Menggunakan Citra Satelit Planetscope: Analysis of Shoreline Delineation Using Object-Based Image Analysis Method in Malang Regency with Planetscope Satellite Imagery Saphira, Shada; Setyawan, Fahreza Okta; Fuad, M. Arif Zainul; Rijal, Seftiawan Samsu
JFMR (Journal of Fisheries and Marine Research) Vol. 9 No. 1 (2025): JFMR on March
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2025.009.01.3

Abstract

Salah satu fenomena alam yang rentan terjadi di wilayah pantai adalah perubahan garis pantai, karena sifat pantai yang dinamis, mengakibatkan wilayah pantai selalu mengalami perubahan. Oleh karena itu, delineasi garis pantai penting untuk dilakukan secara berkala agar garis pantai dapat dipantau secara terus menerus untuk mencegah terjadinya abrasi maupun akresi, juga delineasi garis pantai merupakan hal yang esensial dalam pengelolaan wilayah pesisir berkelanjutan. Penelitian ini berfokus pada delineasi garis pantai berdasarkan metode penginderaan jauh menggunakan Citra Satelit Resolusi Tinggi (CSRT) di Kabupaten Malang, dimana perubahan garis pantai terjadi wilayahnya. Delineasi garis pantai dilakukan dengan menggunakan metode integrasi dari model deep learning, Convolutional Neural Network (CNN), dan Object Based Image Analysis (OBIA). Penelitian ini bertujuan untuk mendapatkan dan mengevaluasi garis pantai dari metode yang digunakan. Didapatkan garis pantai hasil metode OBIA Kabupaten Malang di bagian barat 34.49 km, tengah 51.21 km, dan timur 67.81 km. Nilai overall accuracy yang didapatkan sebesar 83.62% di barat, tengah 80.79%, dan timur 85.06%. Jarak antara garis pantai hasil ekstraksi dan tracking dibandingkan dan didapatkan nilai RMSE di barat sebesar 4.91 meter, tengah 6.62 meter, dan timur 3.68 meter. Hasil tersebut membuktikan bahwa integrasi metode CNN dan OBIA berhasil menciptakan garis pantai dengan akurasi yang baik.   One of the natural phenomena commonly occurring in coastal areas is shoreline change, driven by the coast’s dynamic nature, resulting in coastal areas always experiencing changes. Therefore, delineation of the shoreline is important to be carried out periodically so that the shoreline can be monitored continuously to prevent abrasion and accretion, also delineation of the shoreline is essential in the management of sustainable coastal areas. This research focuses on shoreline delineation based on remote sensing method using High Resolution satellite imagery in Malang Regency, where shoreline changes occur. Shoreline delineation is performed using an integrated method of deep learning models, Convolutional Neural Network (CNN), and Object Based Image Analysis (OBIA). This research aims to obtain and evaluate the shoreline of the method used. The shoreline obtained from OBIA method in Malang Regency is 34.49 km in the west, 51.21 km in the central, and 67.81 km in the east. The overall accuracy value achieved in the western part is 83.62%, the central part is 80.79%, and the eastern part is 85.06%. The distance between the extracted and the tracking shoreline was compared and an overall average RMSE value of 4.91 meters in the western part, 6.62 meters in the middle part, and 3.68 meters in the eastern part. These results prove that the integration of CNN and OBIA methods can successfully create shoreline with good accuracy.
APPLICATION OF SAR REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN COASTLINE CHANGE STUDIES – A CASE STUDY OF COASTLINE CHANGE DUE TO THE 2018 TSUNAMI IN TANJUNG LESUNG, BANTEN Fuad, M. Arif Zainul; Effendi, Viola Rizka; Dewi, Citra Satrya U.
Asian Journal of Aquatic Sciences Vol. 5 No. 1 (2022): April
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Abstract

On December 22, 2018, a tsunami was triggered by a landslide from the eruptive material of Mount Krakatau which hit Tanjung Lesung Beach, Tanjung Jaya Village, Panimbang District, Pandeglang Regency, Banten Province. The disaster caused damage to infrastructure, changes in coastline, and claimed lives and property. This study aims to determine the changes in the Tanjung Lesung coastline due to the Tsunami. The data used is Sentinel-1 Satellite imagery which was acquired before and after the disaster, which was on 19 and 23 December 2018 respectively. Image processing was carried out on the Sentinel Application Platform (SNAP). The shoreline delineation utilizes the tracing technique in Arc-GIS. Calculation of shoreline changes using Digital Shoreline Analysis System (DSAS) tools with a Net Shoreline Movement (NSM) approach with the length and width of the transect line of 300 and 50 meters, respectively. The results showed that the shoreline changes that occurred were dominated by abrasion with the highest value of 18.89 m located on the west coast of Tanjung Lesung in Tanjung Jaya Village, Panimbang District, Pandeglang Regency. In addition, there is also accretion in the eastern area of ​​Tanjung Lesung Beach, although it only occurs in a small area with a coastline extension of 10.41 m.
PEMODELAN DAN ANALISIS PERUBAHAN GARIS PANTAI DI KABUPATEN SITUBONDO, JAWA TIMUR Fuad, M. Arif Zainul; Fajari, Annisa Kusuma; Hidayati, Nurin
JFMR (Journal of Fisheries and Marine Research) Vol. 5 No. 2 (2021): JFMR
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2021.005.02.19

Abstract

Pesisir Kabupaten Situbondo yang terletak di pantai utara Jawa diduga cenderung mengalami akresi. Akan tetapi terdapat beberapa daerah di Situbondo yang rawan abrasi, seperti daerah Banyuglugur dan Besuki. Kecamatan Banyuglugur, Besuki, Mlandingan, dan Suboh merupakan daerah pesisir yang padat pemukiman dan rawan terhadap perubahan. Oleh sebab itu dilakukan prediksi perubahan garis pantai menggunakan one-line model agar dapat meminimalisir dampak yang akan terjadi. Data utama untuk memodelkan prediksi garis pantai adalah  koordinat garis pantai, kemiringan pantai, dan gelombang. Dilakukan perhitungan transpor sedimen menggunakan rumus CERC untuk mengetahui erosi maupun akresi. Kemudian didapat perubahan garis pantai berdasarkan waktu yang ditentukan. Berdasarkan hasil prediksi menggunakan one-line model, terdapat daerah di pesisir bagian barat Kabupaten Situbondo yang diprediksi mengalami erosi dan akresi. Erosi terjadi di lokasi Pantai Tampora, pemukiman Banyuglugur, tambak Kecamatan Suboh, dan  tanah kosong di TPI Mlandingan. Akresi akan dominan terjadi di lokasi mangrove Kecamatan Banyuglugur, muara Sungai Lobawang, muara Sungai Deluang, Pantai Dubibir, mangrove Kecamatan Suboh, dan muara Sungai Gardu Rusak. Pada lokasi yang mengalami garis pantai mundur, pola transpor sedimennya termasuk dalam kategori erosion. Sedangkan area yang mengalami garis pantai maju memiliki pola transpor yang termasuk dalam kategori transport as bed load. Secara kseluruhan, area penelitian mengalami akresi dengan laju akresi sebesar 0,217 m/tahun.
Analisis Tingkat Akurasi Data Batimetri Menggunakan Singlebeam Echosounder System (Sbes) dan Citra Satelit Spot-7 di Perairan Gili Ketapang, Kabupaten Probolinggo Laily, Hilda Hikmatul; Setyawan, Fahreza Okta; Fuad, M. Arif Zainul; Nandika, Muhammad Rizki
Jurnal Kelautan Nasional Vol 19, No 1 (2024): APRIL
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jkn.v19i1.13381

Abstract

Pulau Gili Ketapang memiliki jumlah potensi sumberdaya perikanan mencapai 40%, sehingga Gili Ketapang berpotensi menjadi daerah perikanan dengan sumberdaya yang cukup tinggi dan pelayaran yang cukup padat. Hal ini berarti informasi mengenai batimetri di perairan tersebut bermanfaat untuk mengetahui kondisi perairan, baik secara langsung maupun tidak langsung. Penelitian ini dilakukan untuk mengetahui tingkat akurasi data batimetri dari Singlebeam Echosounder System (SBES) dan citra satelit SPOT-7, sehingga dapat digunakan sebagai referensi kedalaman perairan. Teknik yang digunakan dalam penelitian ini merupakan Satellite Derived Bathymetry (SDB) metode klasifikasi Random Forest dengan menggunakan software Satellite Derived Bathymetry (SDB) GUI. Kedalaman perairan di Pulau Gili Ketapang berdasarkan hasil pemeruman berkisar antara 0-30m. Profil kedalaman perairan pada peta batimetri 3D menunjukkan bahwa morfologi dasar laut tidak rata. Profil kedalaman dari garis pantai hingga jarak 200 m memiliki nilai kedalaman 0-20 m, sedangkan profil kedalaman dari jarak 200m hingga perairan terbuka cukup bervariasi. Klasifikasi kelas lereng di perairan Pulau Gili Ketapang didominasi oleh kategori datar sebesar 77,28%. Hasil regresi (R²) pada model SDB antara data citra dengan data insitu yaitu 0,59 atau 59%. Nilai RMSE yang tertinggi terdapat pada kedalaman 0 – 5m yaitu 0,87, sedangkan yang terendah pada kedalaman 15,1 - 20m yaitu 1,31.
Co-Authors Dewi, Citra Satrya U Dewi, Citra Satrya U. Effendi, Viola Rizka Fajari, Annisa Kusuma Fathurrahman K., M. Hidayati, Nurin Laily, Hilda Hikmatul Nandika, Muhammad Rizki Saphira, Shada Seftiawan Samsu Rijal, Seftiawan Samsu Setyawan, Fahreza Okta Widodo S Pranowo