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All Journal Indonesian Journal of Geography ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal HIDROPILAR
Nurul Khakhim
Faculty of Geography, Universitas Gadjah Mada
Earth & Planetary Sciences

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Object-Based Mangrove Mapping Comparison on Visible and NIR UAV Sensor Nurul Khakhim; Muh Aris Marfai; Ratih Fitria Putri; Muhammad Dimyati; Muhammad Adnan Shafry Untoro; Raden Ramadhani Yudha Adiwijaya; Taufik Walinono; Wahyu Lazuardi; Dimas Novandias Damar Pratama; Arief Wicaksono; Azis Musthofa; Zulfikri Isnaen
Indonesian Journal of Geography Vol 53, No 2 (2021): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50861

Abstract

Mangrove ecosystems are natural resources that have potential value for development due to their high productivity. Mapping and identification of mangroves have always played a crucial role in mangrove ecosystem conservation efforts, especially to support the sustainable development goal of coastal resources and climate change issues. Several attempts have been made using Unmanned Aerial Vehicle (UAV) techniques acquisition of high spatial resolution aerial images data with various sensors and object-based classification for image processing with various levels of success. This study aims to identify mangrove objects using UAV with true color and NIR false-color sensors using the OBIA approach. The UAV used in this study was DJI Phantom 3 Pro with a true-color sensor (default) and NIR false-color (modified Canon IXUS 160 cameras). The comparison between the two types of sensor of aerial photographs as a source for mangrove mapping proved that the latter performed better than the former because of the near-infrared band can optimally discriminate between mangrove and non-mangrove objects. This will assist future research directions in the mangrove ecosystems mapping method.
Abundance of Meiofauna and Physical-Chemical Parameters as Water Quality Indicator Muh Sri Yusal; Muh Aris Marfai; Suwarno Hadisusanto; Nurul Khakhim
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 24, No 2 (2019): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1466.591 KB) | DOI: 10.14710/ik.ijms.24.2.81-90

Abstract

The zone of Losari Coast is an icon of Makassar city, however increase activity of surrounding communities causes a decrease in the water quality. Meiofauna is an effective benthic organism used as an indicator of water quality. This study assessed the meiofauna abundance and physical-chemical parameters as water quality indicator in the Losari Coast, Makassar. The sampling method in this study was purposive sampling. The resuts showed that total meiofauna abundance identified was 66791 indv.m-2, composed of 12 phylum and 91 species or genera. Stations at the estuary of the Jeneberang and Tallo River are two sites with high level of abundance, this condition allows presence of organic contaminants triggers the high growth of meiofauna in these locations. Dissolved Oxygen is below its supposed level in waters. Acidity, phosphate and nitrate content at some of research stations exceed the threshold of their allowed presence in waters set by Indonesia government. Ostracoda, oligochaeta, polychaeta, tunicata and ciliophora are phylums with a high level of abundance, because the phylum has  high adaptability to pollutant. Good water quality is indicated by a variety of biota living in the waters, the range of diversity and uniformity indices shows that meiofauna species are categorized highly diverse and evenly distributed. The dominance index shows that there is no species was dominant, except stations around  Losari reclamation project. Temperature, current velocity, depth, brightness, salinity, pH, DO, nitrate-seawater, and phosphate-seawater correlate with meiofauna abundance. The results as a consideration for the management or monitoring of coastal environments.
Pemetaan Dinamika Perubahan Tutupan Kawasan Mangrove Berbasis Pendekatan Komputasi Awan di Teluk Pacitan: Mapping of The Dynamic Changes Coverage of Mangrove Area Based on A Cloud Computation Approach in Pacitan Bay Ahmad Hasrul; Nurul Khakhim; Suadi Suadi
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.v9i1.279

Abstract

Mangrove sebagai kawasan yang dicirikan sebagai lahan basah di wilayah intertidal di sepanjang garis pantai memiliki peran penting bagi kehidupan dan penghidupan manusia karena layanan yang diberikannya sebagai daerah pemijahan ikan (nursery ground), tempat mencari makan (feeding ground), daerah pentangkapan ikan (fishing ground), serta cagar alam, retensi sedimen dan pelindung alami terhadap berbagai bencana alam seperti siklon dan tsunami. Peran penting tersebut belum terjaga dengan memadai sehingga dibeberapa lokasi di belahan bumi kawasan mangrove mengalami penyusutan akibat proses antropogenik maupun perubahan lingkungan global. Monitoring secara berkala diperlukan untuk menjaga ekosistem mangrove. Penginderaan jauh menjadi metode yang efektif dalam memetakan areal mangrove secara cepat dan efisien, terutama dengan berkembangnya teknologi pemetaan berbasis komputasi awan (cloud computing). Melalui perangkat google earth engine (GEE) artikel ini melakukan studi di Teluk Pacitan dengan ekstraksi terhadap luasan tutupan mangrove pada tahun 2016 sampai dengan 2022 menggunakan citra satelit Sentinel-2 MSI Level-2A, dengan menggunakan algoritma random forest. Luasan mangrove yang dapat diekstraksi adalah 0,57 Hektar di tahun 2016 dan meningkat menjadi 2,2 hektar di tahun 2022. Berdasarkan sampel yang digunakan, dipilih 80% dari total sampel digunakan untuk training, dan 20% untuk testing. Berdasarkan hasil perhitungan Validation overall accuracy, hasil ekstraksi tahun 2016 mencapai nilai 0,996, dan pada tahun 2022 mencapai nilai 0,966.
Co-Authors Ahmad Hasrul Arief Wicaksono Azis Musthofa Dimas Novandias Damar Pratama Muh Aris Marfai Muh Aris Marfai Muhammad Adnan Shafry Untoro Muhammad Dimyati Putri, Ratih Fitria Raden Ramadhani Yudha Adiwijaya Suadi Suadi SUWARNO HADISUSANTO Taufik Walinono Wahyu Lazuardi Yusal, Muh Sri Zulfikri Isnaen