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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis ILMU KELAUTAN: Indonesian Journal of Marine Sciences BULETIN OSEANOGRAFI MARINA Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Journal of Oceanography International Journal of Marine and Aquatic Resource Conservation and Co-existence International Journal of Advances in Intelligent Informatics Jurnal Kelautan Tropis Science and Technology Indonesia Jurnal Kelautan Nasional Molekul: Jurnal Ilmiah Kimia Indonesian Journal of Oceanography
Anindya Wirasatriya
Departemen Oseanografi, Fakultas Perikanan Ilmu Kelautan, Universitas Diponegoro Jl. Prof. H. Sudarto, SH, Tembalang, Kota Semarang, Kode Pos 50275 Telp/fax (024) 7474698
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Uji Akurasi Beberapa Algoritma Material Padatan Tersuspensi Menggunakan Citra Sentinel-2A di Muara Banjir Kanal Timur Semarang Maulana Al Faridzie; Lilik Maslukah; Dwi Haryo Ismunarti; Anindya Wirasatriya
Jurnal Kelautan Tropis Vol 26, No 3 (2023): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v26i3.17496

Abstract

Total suspended solids (TSS) are one of the variables that determine water quality and are one of the factors influencing the sedimentation process in estuarine waters. The use of conventional methods has high accuracy but is inefficient in terms of cost and time. One of the water quality monitoring (TSS) solutions is to use a TSS concentration prediction algorithm that is specific to each water. The purpose of this study was to test the accuracy performance of several algorithms from other waters when applied to the Estuary of Banjir Kanal Timur (BKT). The method used is water quality sampling of 100 stations which is carried out simultaneously with the passing time of the Sentinel-2A image. The data is then used as a reference for the TSS concentration value in the algorithm validation test for predicting TSS concentrations in the waters of the estuary of BKT. The prediction algorithms of TSS concentration used are Parwati, Wirasatriya, LEL, and Lemigas algorithms.  The statistical parameters of MAPE, RMSE, and coefficient of determination (R2) were used to test the error. The most appropriate algorithm for evaluating the field value is Wirasatriya’s algorithm. The validation test is RMSE = 9.1694 and MAPE = 15.9984%. The resulting regression model between the best image prediction data (Wirasatriya) and field data obtained the coefficient of determination, R2 = 0.5441. The TSS monitoring in the BKT estuary is recommended to use Wirasatriya's algorithm for Sentinel-2, proving its validity and/or creating a specific algorithm for the BKT estuary waters. Each region has unique characteristics, so it needs to be generated. Material padatan tersuspensi (MPT) merupakan salah satu variabel yang menentukan kualitas air dan menjadi salah satu faktor yang mempengaruhi proses sedimentasi di perairan muara. Penggunaan metode secara konvensional memiliki akurasi tinggi, akan tetapi kurang efisien secara biaya dan waktu. Salah satu solusi pemantauan kualitas air (MPT) adalah menggunakan algoritma prediksi konsentrasi MPT yang sifatnya spesifik untuk masing-masing perairan. Tujuan penelitian ini adalah melakukan uji validasi untuk menentukan nilai error yang dihasilkan dari beberapa algoritma, apabila diaplikasikan pada perairan Muara Banjir Kanal Timur(BKT) Semarang. Metode yang digunakan adalah pengambilan sampel kualitas air sebanyak 100 stasiun yang dilaksanakan bersamaan dengan saat passing time citra Sentinel-2A. Data tersebut kemudian dijadikan acuan nilai konsentrasi MPT dalammenguji kinerja algoritma untuk prediksi MPT pada perairan Muara BKT. Algoritma prediksi konsentrasi MPT yang digunakan adalah algoritma Parwati, Wirasatriya, LEL, dan Lemigas.  Pengujian error dilakukan dengan beberapa parameter statistik yaitu MAPE, RMSE, dan koefisien determinasi (R2). Hasil algoritma yang terbaik terhadap nilai di lapangan adalah algoritma Wirasatriya, dengan nilai RMSE = 9,1694 dan MAPE = 15,9984%. Model regresi yang dihasilkan antara data prediksi citra terbaik (Wirasatriya) terhadap data lapangan didapatkan nilai koefisien determinasi,  R2 = 0,5441. Diharapkan untuk pemantauan MPT di muara BKT dan sekitarnya berdasarkan citra Sentinel 2, dapat menggunakan algoritma Wirasatriya yang telah terbukti lebih akurat dan (atau) dilkembangkan algoritma baru yang lebih spesifik. Setiap wilayah memiliki karakteristik yang unik, sehingga pengembangan algoritma sangat diperlukan.
Estimation of Suspended Particulate Matter Using Landsat 9 Imagery: Generating Algorithms and Spatio-Temporal Distributions Maslukah, Lilik; Sadewo, M. Firouz Dimas; Rochaddi, Baskoro; Widada, Sugeng; Wirasatriya, Anindya; Wisha, Ulung Jantama
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 29, No 1 (2024): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.29.1.15-28

Abstract

The fluctuation of suspended particulate matter (SPM) is essential to the biogeochemical cycle and ecological health of coastal waters. Anthropogenic activities potentially trigger an increase in SPM, so it needs to be monitored continuously. Spatial and temporal monitoring of SPM can be carried out cost-effectively with broad coverage using a remote sensing application. This study aims to build the SPM algorithm and estimate its temporal variability. The algorithm model in this study is based on an empirical formula between field data and reflectance data with the same acquisition. Water samples were taken from 100 stations in July 2022. Half were used for model building and the other for model validation. Suspended Particulate Matter was determined gravimetrically and estimated their temporal variability was based on Landsat 9 image records from December 2021 - November 2022. The results of the analysis show that the best algorithm for SPM estimation can be built based on coastal aerosol canals (B1), blue canals (B2), and green canals (B3) with the accuracy test result of (R2 = 0.68; RMSE = 5.551 mg.L-1; MAPE= 7.07%; Bias= 0.28). The SPM temporal fluctuations were generally higher in the west monsoon and lowered in the east monsoon, ranging from 30 to 70 mg.L-1. On the other hand, the spatial distribution shows a higher magnitude in the estuary than in the offshore waters, with a deviation of about 30 mg.L-1. Regional authorities can use the results obtained to improve the management of coastal water quality and monitoring systems.
An Updated Water Masses Stratification of Indonesian Maritime Continent (IMC) Attributed to Normal and ENSO Conditions by Argo Float Bahiyah, Amirotul; Wirasatriya, Anindya; Mardiansyah, Wijaya; Iskandar, Iskhaq
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.299-313

Abstract

The tropical area of the Indonesian Maritime Continent (IMC) is frequently regulated by El Niño Southern Oscillation (ENSO), resulting in various water mass stratification in every climate event, such as El Niño and La Niña occurrences. As a consequence, changes in the typical Indonesian Throughflow (ITF) are linked to ENSO circumstances that affect the Indian Ocean. This study used Argo float data to evaluate the change in water mass stratification and vertical density profiles along the main pathway of ITF at each event. However, due to a scarcity of observation data, the comparison study of normal to ENSO occurrences has been limited in the ITF area. In typical circumstances throughout the year, the entrance channel (the western Pacific Ocean, the northern waters of Molucca Island, and the Halmahera Sea) had a higher saline value and cooler water masses than other ITF channels, with a range of roughly 33.5 - 35.5 PSU/13 - 22 ◦C, particularly during the Northwest (NW) Monsoon (December to February or DJF). Unlike the inlet, the Temperature-Salinity (T-S) diagram showed a declining value in both parameters (Celebes Sea, Makassar Strait, and Molucca Sea). Still, the outflow pathway in the Southeastern Tropical Indian Ocean (SETIO) showed a rising T-S diagram. During La Niña events, IMC water masses are often portrayed as fresher and warmer, while reverse circumstances are depicted in El Niño events with exclusion at SETIO station, indicating saltier and colder water masses than normal conditions. An extreme alteration with a large T-S range is mostly depicted in Makassar Strait from Southeast (SE) monsoon (September to November or SON) to NW monsoon, followed by the Banda Sea and then the Molucca Sea.
Pengaruh Arus Sejajar Pantai (Longshore Current) Terhadap Proses Perubahan Garis Pantai di Pantai Marunda, Jakarta Utara Pratama, Dhimas Prabu; Atmodjo, Warsito; Wirasatriya, Anindya
Indonesian Journal of Oceanography Vol 5, No 2 (2023): Indonesian Journal of Oceanography
Publisher : University of Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijoce.v5i2.16198

Abstract

Abstrak Pantai Marunda berada di Kecamatan Cilincing, Kota Jakarta Utara. Sisi barat Pantai Marunda terdapat Pelabuhan KCN Marunda dan di sisi timur terdapat jetty pada muara sungai Banjir Kanal Timur. Jetty dapat mempengaruhi energi arus sejajar pantai yang mentranspor sedimen di sepanjang pantai. Transpor sedimen dapat menyebabkan perubahan garis pantai akibat abrasi maupun sedimentasi. Penelitian ini perlu dilakukan untuk mengetahui proses hidrodinamika yang terjadi di Pantai Marunda yang menyebabkan perubahan garis pantai. Metode penelitian yang dipakai berupa metode kuantitatif. Data angin didapatkan melalui ECMWF dari tahun 2012 – 2022 yang digunakan untuk peramalan gelombang. Peramalan gelombang menggunakan metode SMB (Sverdrup Munk Bretchneider) dengan aplikasi easywave yang dikelompokkan ke dalam 4 musim. Nilai transpor sedimen didapat berdasarkan pada kondisi gelombang di lokasi penelitian. Perubahan garis pantai menggunakan DSAS (Digital Shoreline Analysis System) menggunakan citra Landsat 7 tahun 2012 dan Landsat 8 tahun 2014 - 2022. Berdasarkan hasil penelitian didapatkan kecepatan arus sejajar pantai di Pantai Marunda pada musim barat dan peralihan 1 berkisar 0,75-0,91 m/s dengan arah arus bergerak menuju timur, sedangkan pada musim timur dan peralihan 2 berkisar 0,76-1,46 m/s dengan arah arus bergerak menuju barat. Arus sejajar pantai menghasilkan transpor sedimen sebesar - 105,65 m3/hari sampai 274,22 m3/hari dengan transpor tahunan berkisar -38.565,84 m3/tahun sampai 100.095,54 m3/tahun. Nilai transpor sedimen tersebut menyebabkan terjadinya perubahan garis pantai dengan akresi sebesar 2,1 ha dan abrasi sebesar 0,02 ha.AbstractMarunda Beach is located in Cilincing District, North Jakarta City. It is bordered by the KCN Marunda Port on the west side and a jetty at the mouth of East Flood Canal on the east side. The existance of jetty can affect the energy of longshore currents that transport sediment along the coast. Sediment transport can cause shoreline changes due to abrasion or sedimentation. This research aims to investigates the hydrodynamic processes that causes the coastline changes at Marunda Beach. The research method was a quantitative method. Wind data was obtained from ECMWF (2012 – 2022) and it is used for wave forecasting. Wave forecasting used the SMB (Sverdrup Munk Bretchneider) method with easywave application which was divided into 4 seasons. The value of sediment transport was obtained based on the wave conditions at the study site. Changes in coastline was analyzed by DSAS (Digital Shoreline Analysis System) using Landsat 7 in 2012 and Landsat 8 images in 2014 - 2022. The results show that the longshore current velocity at Marunda Beach in the west season and transition 1 ranges from 0.75 to 0.91 m/s with the current moving eastward, while in the east monsoon and transition 2 it ranges from 0.76 to1.46 m/s with the current moving westward. Longshore currents produce sediment transport of -105.65 m3/day to 274.22 m3/day with annual transport ranging from -38,565.84 m3/year to 100,095.54 m3/year. The sediment transport value causes changes in the coastline with an accretion of 2.1 ha and an abrasion of 0.02 ha. 
Analisis Dampak Perubahan Cuaca Terhadap Kualitas dan Produksi Garam di Kabupaten Rembang Ashilah, Azizah Anis; Wirasatriya, Anindya; Handoyo, Gentur
Indonesian Journal of Oceanography Vol 4, No 2 (2022): Indonesian Journal of Oceanography
Publisher : University of Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijoce.v4i2.14006

Abstract

Garam merupakan komponen penting bagi manusia yang dimanfaatkan baik sebagai kebutuhan pokok maupun bahan baku industri. Indonesia, yang memiliki sumber daya lautan yang luas, ironisnya masih melakukan impor garam karena kebutuhan garam di Indonesia yang mencapai 61,5% berbanding terbalik dengan persentase produksi garam yang hanya sebanyak 31%. Indonesia yang memiliki iklim Tropis umumnya menggunakan metode Solar Evaporation untuk memproduksi garam dengan memanfaatkan panas matahari. Namun, kualitas garam yang dihasilkan di provinsi Jawa Tengah masih sedikit yang mencapai mutu KW-1. Penelitian ini menganalisis faktor klimatologi yang mempengaruhi produktivitas produksi garam di Kabupaten Rembang, daerah penghasil garam terbesar kedua di Jawa Tengah, dengan menggunakan metode kuantitatif. Penelitian dilakukan dengan mengumpulkan data sekunder dan mengolahnya dengan berbagai software pendukung, yaitu Microsoft word, Ocean Data View 4, dan ArcGis 10.3. Hasil penelitian menunjukkan kondisi ideal produksi garam besar dipengaruhi oleh beberapa variabel dengan nilai korelasi radiasi matahari r=0,782, salinitas r=0,697, dan kelembapan relatif r=-0,673. Waktu produksi garam tertinggi ini terjadi di bulan Oktober yang mengalami fase peralihan dari musim kemarau ke musim hujan. Dari penelitian ini dapat disimpulkan bahwa produksi garam di Kabupaten Rembang sangat dipengaruhi oleh faktor hidrologi, khususnya curah hujan. Kata kunci: Produksi Garam, Curah hujan, Iklim, Kabupaten Rembang Abstract Salt is an essential component for humans used both as a basic need and industrial raw material. Indonesia, which has vast ocean resources, ironically still imports salt because the need for salt in Indonesia reaches 61.5%, in contrast to the percentage of salt production, which is only 31%. As a tropical climate country, Indonesia generally uses the Solar Evaporation method to produce salt by utilizing solar heat. However, the quality of salt produced in the province of Central Java is still low, which reaches the KW-1 quality. This study analyzes climatological factors that affect the productivity of salt production in Rembang Regency, the second-largest salt-producing area in Central Java, using quantitative methods. The research collected secondary data and processed it with supporting software such as Microsoft word, Ocean Data View 4, and ArcGis 10.3. The results showed that the ideal conditions for large salt production were influenced by several variables with the correlation value of solar radiation r=0.782, salinity r=0.697, and relative humidity r=-0.673. The highest salt production time occurs in October, experiencing a transitional phase from the dry to the rainy season. From this research, it can be concluded that hydrological factors, especially rainfall, strongly influence salt production in Rembang Regency. Keywords: Salt Production, Rainfall, Climate, Rembang Regency
Hubungan Zona Penangkapan Ikan Lemuru (Sardinella lemuru) dengan Suhu Permukaan Laut dan Klorofil-a pada Variabilitas Iklim di Selat Bali Adivitasari, Reska Mega; Kunarso, Kunarso; Wirasatriya, Anindya
Indonesian Journal of Oceanography Vol 4, No 2 (2022): Indonesian Journal of Oceanography
Publisher : University of Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijoce.v4i2.13516

Abstract

Selat Bali merupakan perairan yang kaya dengan hasil ikan lemuru (Sardinella lemuru) pada musim tertentu. Hal ini berhubungan dengan fenomena upwelling serta iklim regional terutama IOD sehingga target yang ingin diperoleh dari studi ini adalah mengetahui variasi hasil tangkapan ikan lemuru di Selat Bali, mengetahui distribusi spasial suhu permukaan laut (SPL) dan klorofil-a dengan distribusi hasil tangkapan ikan lemuru serta mengetahui korelasi fenomena IOD terhadap hasil tangkapan ikan lemuru di Selat Bali. Data penelitian yang digunakan adalah logbook kapal Pelabuhan Perikanan Nusantara (PPN) Pengambengan, SPL, klorofil-a, kecepatan angin dan data DMI. Penelitian ini menggunakan metode kompilasi yang diolah dengan bahasa pemrograman dari bulan Januari 2014 hingga Desember 2016. Hasil penelitian diperoleh bahwa hasil tangkapan ikan lemuru berkisar 0 hingga 12.956 kg/hour tidak memiliki korelasi terhadap parameter SPL dan klorofil-a. SPL memiliki distribusi yang berbanding terbalik dengan konsentrasi klorofil-a. Bulan Juni, Agustus hingga Desember 2014 terjadi fenomena IOD positif dengan meningkatnya hasil tangkapan ikan lemuru. Bulan Juli hingga Agustus 2016 terjadi fenomena IOD negatif dengan penurunan hasil tangkapan ikan lemuru. Korelasi antara fenomena IOD terhadap hasil tangkapan ikan lemuru di Selat Bali menunjukkan bahwa IOD berpengaruh kecil karena nilai koefisien korelasi (r) dan koefisien determinasi (r2) IOD yang relatif rendah. Kata kunci: Sardinella lemuru, SPL, Klorofil-a, Monsun, IOD Abstract The Relationship of the Fishing Zone of Lemuru (Sardinella Lemuru) with Sea Surface Temperature and Chlorophyll-A on Climate Variability in the Bali Strait In certain seasons, the Bali Strait is water-rich with lemuru fish (Sardinella lemuru). This is related to the upwelling and regional climate, especially IOD so the targets to be obtained from this study are to determine the variation of lemuru catches in the Bali Strait, to know the spatial distribution of sea surface temperature (SST) and chlorophyll-a with the distribution of lemuru surpasses and determine the correlation of the IOD phenomenon to the catch of lemuru fish in the Bali Strait. The research data used were logbook, SST, chlorophyll-a, wind speed, and DMI data. This study used a compilation method processed with a programming language from January 2014 to December 2016. The results showed that the catch of lemuru fish ranging from 0 to 12,956 kg/hour had no correlation with SST and chlorophyll-a parameters. SPL has a distribution that is inversely proportional to the concentration of chlorophyll-a. From June, August to December 2014, there was a positive IOD phenomenon with increasing lemuru catches. From July to August 2016 there was a negative IOD phenomenon with a decrease in lemuru catches. The correlation between the IOD phenomenon and the catch of lemuru fish in the Bali Strait shows that IOD has little effect because the correlation coefficient (r) and determination coefficient (r2) of IOD are relatively low. Keywords: Sardinella lemuru, SST, Chlorophyll-a, Monsoon, IOD
Analisis Model Rendaman Rob di Desa Tambakbulusan Kabupaten Demak Sebagai Evaluasi Rencana Pengembangan Kawasan Wisata Bahari Claus, Berril; Nugraha, R. Bambang Adhitya; Gultom, Iqbal S.; Anggoro, Tri Danny; Jayawiguna, Muhammad Hikmat; Setiyono, Heryoso; Wirasatriya, Anindya
Jurnal Kelautan Nasional Vol 19, No 2 (2024): Agustus
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jkn.v19i2.14000

Abstract

Kabupaten Demak salah satu kawasan pesisir di utara Jawa Tengah yang sering mengalami banjir rob akibat kenaikan muka air laut dengan dampak yang siginifikan di wilayah tersebut seperti  terganggunya kegiatan pariwisata yang dikelola oleh masyarakat pesisir. Penelitian ini bertujuan untuk memperkirakan potensi genangan rob yang terjadi di Desa Tambakbulusan dan akan digunakan sebagai referensi rencana pengembangan wisata bahari di kawasan tersebut. Penelitian ini menggunakan metode kajian model genangan rob dari pasang surut dengan periode pengumpulan data sekunder selama 5 tahun dan uji akurasi hasil uji lapangan. Elevasi muka air laut lokasi kajian menggunakan prediksi pasang surut global MIKE 21 dan selanjutnya diolah untuk mendapatkan nilai bilangan Formzhal untuk mengetahui tipe pasang surut lokasi, dan selisih nilai HHWL dan MSL tertinggi selama 5 tahun periode. Model genangan rob kemudian dibuat dengan bantuan raster calculator pada ArcMap 10.8. Hasil penelitian menunjukan bahwa model genangan memiliki nilai accuracy sebesar 0,89 atau akurasi model 89%, nilai precision sebesar 1 atau presisi prediksi nilai positif 100%, dan recall sebesar 0.87 atau model dapat menangkap kasus positif sebanyak 87%. Hal ini menunjukkan bahwa algoritma memberikan hasil klasifikasi kondisi pesisir Tambakbulusan  saat banjir rob terjadi dengan sangat baik. Pengolahan elevasi muka air laut menunjukan kawasan pesisir Desa Tambakbulusan yang memiliki tipe pasang surut campuran condong harian tunggal dengan bilangan Formzhal sebesar 1,526, dikategorikan memiliki tingkat kerentanan sedang.  Genangan rob dengan tinggi muka laut 78 cm saat pasang menjangkau 72,11% luas Tambakbulusan dimana terdapat are tambak seluas 410,91 Ha dan area sawah seluas 3,88 Ha, sedangkan untuk pemukiman warga tidak terkena dampak dari banjir rob.
Kajian Spasial dan Temporal Klorofil-a di Selat Makassar : Variasi Musiman dan Antar Tahunan Zulfa, Istna Nabila; Wirasatriya, Anindya; Ismanto, Aris
Buletin Oseanografi Marina Vol 13, No 3 (2024): Buletin Oseanografi Marina
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/buloma.v13i3.63067

Abstract

Selat Makassar merupakan perairan yang menghubungkan Laut Sulawesi di utara dengan Laut Jawa di selatan. Penelitian ini mengkaji variabilitas klorofil-a di Selat Makassar, khususnya di perairan Pulau Laut dan selatan Makassar dilihat dari variasi musiman dan antar tahunan dengan melihat pengaruh ENSO. Data penelitian menggunakan data berbasis citra satelit yang dianalisis melalui perataan klimatologi bulanan, pembuatan grafik time series dan analisis korelasi. Secara umum sebaran spasial dari klorofil-a di Selat Makassar menunjukkkan bahwa baerah pesisir memiliki kandungan klorifil-a lebih tinggi dibandingkan dengan daerah lepas pantai yang berada di tengah Selat Makassar. Pesisir timur Kalimantan memiliki klorofil-a yang cenderung lebih tinggi dibandingkan pesisir barat Sulawesi. Secara musiman, klorofil-a tertinggi terjadi pada bulan Desember yang bernilai 0.57 mg/m3 untuk rata-rata di seluruh area penelitian, sedangkan yang memiliki klorofil-a rendah yaitu pada bulan September bernilai 0.47 mg/m3. Fluktuasi klorofil ini dipengaruhi angin dan curah hujan. Di perairan Pulau Laut, variasi klorofil-a secara signifikan dipengaruhi curah hujan yang akan meningkatkan run-off sungai yang membawa nutrient dari daratan ke laut, sedangkan di perairan selatan Makassar, angin mempengaruhi fluktuasi klorofil-a melalui mekanisme upwelling. Analisis korelasi menunjukkan bahwa di perairan selatan Makassar dan Pulau Laut, faktor ENSO lebih berpengaruh terjadap curah hujan dibandingkan dengan angin. Karena variabilitas klorofil-a di perairan Selatan Makassar dipengaruhi oleh angin, ENSO cenderung kurang berpengaruh terhadap variabilitas klorofil-a di perairan Selatan Makassar. Sebaliknya, variabilitas klorofil-a di perairan Pulau Laut dipengaruhi oleh curah hujan, saat terjadi El-Niño klorofil-a akan turun karena curah hujan juga turun, dan saat terjadinya La-Niña klorofil-a akan meningkat karena curah hujan juga meningkat.
A Robust Algorithm for Estimating Total Suspended Solids (TSS) Using Sentinel-2: Case Study in Coastal Waters of Teluk Awur, Jepara, Indonesia Sabila, Anis Yasmin; Maslukah, Lilik; Wirasatriya, Anindya; Indrayanti, Elis; Prasetyawan, Indra Budi; Widada, Sugeng
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 29, No 4 (2024): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.29.4.495-502

Abstract

Total suspended solids (TSS) is an important parameter of water quality, so regular monitoring is necessary to prevent further marine pollution due to TSS. Remote sensing is one of the most effective and efficient methods to monitor TSS with cost-effective operations. The Sentinel-2 satellite is freely available to users with high spectral and spatial resolution (10m, 20m, 60m). Dynamic changes in coastal waters and their characteristics cause TSS retrieval algorithms built from available imagery having less optimal results in other water regions. This research aims to develop an empirical TSS algorithm model that specifically applies to the coastal waters of Teluk Awur, Jepara. The algorithm was developed using an empirical method through correlation between spectral values of Sentinel-2 imagery and in situ TSS values. Water sampling was conducted at 110 stations with a depth of 0.5 m on 22 July 2023 simultaneously collocated with Sentinel-2 image recording. Half of the data was used for algorithm tuning and the other half used for validation. The best regression analysis is found in the red band (B4) and the model is linear. The relatively good performance is shown by the coefficient of determination (R²) of 0.45, RMSE (3.40 mg.L-1), and MAPE (10.76%). The resulting algorithmic model was TSS (mg.L-1) =817.213*(B4)-0.959. This study shows that Sentinel-2 MSI images for TSS retrieval in the coastal waters of Teluk Awur could be applicable and the red band (B4) can be used for mapping TSS concentrations in the surrounding study area.
Total Suspended Solids in Teluk Awur, Jepara using Red Reflectance from Landsat-8 Andhita, Laviola Reycha Fitri; Maslukah, Lilik; Wirasatriya, Anindya; Indrayanti, Elis; Prasetyawan, Indra Budi
Jurnal Kelautan Tropis Vol 27, No 3 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i3.23717

Abstract

The coastal waters of Teluk Awur, Jepara are affected by human activities such as aquaculture, tourism, agriculture, and settlements. The number of human activities on land will contribute to high suspended solids (TSS) entering coastal waters by run-off. The high TSS in coastal areas will affect the entry of light intensity, disrupting the photosynthesis process and ecosystem. This study compares TSS values based on Landsat images using several TSS algorithms such as Wirasatriya, Budhiman, Ajiperwata, and Parwati algorithms and the algorithm resulting from the July 2023 field data calibration against red reflectance. The algorithm's performance from calibration has a smaller error value with RMSE = 8.51, MAPE = 25.77%, and Bias = 7.52. TSS estimation from Landsat 8 satellite imagery has a range of values of 30.56 - 62.55 mg/L (average 35.60 mg/L), while field measurements of TSS values are 22.40 - 64.52 mg/L (average 32.69 mg/L). This research will be valuable information for using the right Landsat-8 algorithm for temporal and sustainable TSS monitoring. It can be used in abrasion monitoring and management in the Teluk Awur coastal waters of Jepara.
Co-Authors Adi Wibowo Adinda Rizki Amalia Adivitasari, Reska Mega Adzkia Pincta Milenia Afrina Aysira Agus Hartoko Almunawir, Muhammad Fakhri Khairillah Ambariyanto Ambariyanto Andhita, Laviola Reycha Fitri Andita Agung Andreas Nur Hidayat Andriana Kartina Wingtyas Anggoro, Tri Danny Anggraeni, Nimas Ratri Kirana Anisa Dewi Nugraheni Aris Ismanto Ashilah, Azizah Anis Attaqwa, Rizal Aziis, Dimas Miftahul Bahiyah, Amirotul Baskoro Rochaddi Bayu Munandar Budi Purwanto Chin, Wei Hong Claus, Berril Denny Nugroho Sugianto Dini Oktaviani Dwi Haryo Ismunarti Dwi Haryo Ismunarti Eko Setyobudi Elis Indrayanti Enita, Siti Yasmina Faishal Widiaputra Nugraha Faizal Rachman Fajar Hudoyo Febrianto, Sigit Firman Ramadhan Fuji Anida Futoki Sakaida Galuh Permatasari Gentio Harsono Gentio Harsono Gentur Handoyo Georgina Faulia Rachman Gultom, Iqbal S. Gunady, Stephanie Michelle Hadi Endrawati Hariyadi Hariyadi Hariyadi, Hariyadi Hasrizal Bin Shaari Hastuti Hastuti Heryoso Setiyono Heryoso Setiyono Himawa, Daenk Hiroshi Kawamura I Ketut Agung Enriko Indra Budi Prasetyawan Indra Budi Prasetyawan Irsyad Abdi Pratama Iskhaq Iskandar Ita Widowati Jarot Marwoto Jarot Marwoto Jayawiguna, Muhammad Hikmat Jihadi, Muhammad Shulhan Johannes Hutabarat Jusup Suprijanto Juviani, Dian Kevifa Satria Widjaya Krisna, Heru Nur Kubota, Naoyuki Kunarso Kunarso Kurnianingsih Kurnianingsih, Kurnianingsih Lilik Maslukah Louis Jannahtuna'im Koes Miranda Lukman, Annisa Aulia Lutfan Lazuardi Maria Griselda Novita Maro, Jahved Ferianto Maulana Al Faridzie Metrio Swandiko Muh Yusuf Muh Yusuf Muhamad Hafiz Maulavi Haban Muhamamd Helmi Muhammad Faiq Marwa Noercholis Muhammad Helmi Muhammad Helmi Muhammad Zainuri Muslim Muslim Mustaqim, Ikhsan Nabilah Rizki Niken Dwi Prasetyarini Novi Susetyo Adi Nugraha, R. Bambang Adhitya Nugroho Agus D Nurul Hickmah Nurul Latifah Parichat Wetchayont Parichat Wetchayount Petrus Subardjo Pratama, Dhimas Prabu Prayogi Prayogi Purwanto Purwanto Purwanto Purwanto Putri, Elsa Mayora Jovanka Raden Ario Rahmadiana Andini Respati, Deodato Naresvara Rayi Resy Sekar Sari Resy Sekar Sari Retno Hartati Ridarto, Arij Kemala Yasmin Rifqi N. Agassi Rikha Widiaratih Riza Yuliratno Setiawan Rizky Aditya Rudhi Pribadi Sabila, Anis Yasmin Sadewo, M. Firouz Dimas Saragih, Laurentia Alexandra Selkofa. M, Warisatul Anbiya Seprianto, Abdal Simangunsong, Felix Gok Asi Simatupang, Ariel Oscar Paskario Sinaga, Boby Christian Sri Murtiana Sri Yulina Wulandari Sugeng Widada Sunaryo Sunaryo Suryanti - Susilodewi, Sinta Dwis Teguh Agustiadi Teguh Prayogo Teuku Fauzan Zul Aufar Ulung Jantama Wisha Ummu Salma Wangdiarta, Fressan Patrick Warsito Atmodjo Wetchayont, Parichat Widiaratih, Rikha Widodo S Pranowo Widodo S. Pranowo Widodo, Dzaky Malik Putra Wijaya Mardiansyah, Wijaya Yeyen Novita Sari Yuhendrasmiko, Randy Zulfa, Istna Nabila