21 research outputs found
ANALISIS DINAMIKA TUTUPAN HUTAN MANGROVE DAN ESTIMASI CADANGAN KARBON SELAMA TIGA DEKADE DI KAWASAN MANDEH MENGGUNAKAN CITRA LANDSAT
No full textKawasan Mandeh direncanakan sebagai kawasan wisata terpadu dan kawasan ekonomi khusus (KEK) oleh pemerintah daerah. Pengembangan kawasan ini berpotensi memiliki dampak terhadap vegetasi mangrove yang terdapat pada kawasan ini. Tujuan dari penelitian ini adalah untuk menganalisis perubahan luasan, kerapatan tajuk serta cadangan karbon vegetasi mangrove selama tiga dekade terakhir. Penelitian dilaksanakan dengan kombinasi pendekatan penginderaan jauh dengan citra Landsat dan survey lapangan. Klasifikasi mangrove dilakukan dengan menggunakan komposit false-color RGB citra, perekaman foto udara menggunakan drone dan ground check pada duapuluh titik lokasi. Estimasi biomassa dan cadangan karbon dilakukan pada tiga plot pengamatan dengan menggunakan persamaan allometrik yang ada. Distribusi cadangan karbon pada lokasi dipetakan dengan membuat persamaan dari indeks vegetasi citra dan hasil estimasi cadangan karbon pada plot. Analisis deteksi perubahan, regresi sederhana dan deviasi model dilakukan pada penelitian ini. Hasil menunjukkan pemetaan distribusi mangrove memiliki overall accuracy 79,71% dan kappa koefisien 0,549 pada akusisi tahun 2019. Hasil klasifikasi mangrove menunjukkan bahwa secara keseluruhan vegetasi mangrove di kawasan Mandeh mengalami penambahan luasan. Namun terdapat beberapa titik kawasan mangrove yang dideteksi mengalami degradasi. Kerapatan tajuk pada vegetasi mangrove mengalami dinamika yang diduga akibat pertumbuhan komunitas dan penebangan tegakan mangrove. Potensi karbon dari seluruh kawasan Mandeh sangat besar dengan adanya penambahan yang cukup tajam cadangan dan serapan karbon ke tahun 2019. Pemetaan kerusakan vegetasi mangrove yang terjadi, serta potensi kawasan dengan area minim kerusakan dan memiliki potensi cadangan karbon yang tinggi yang dilakukan pada penelitian ini diharapkan dapat menjadi pertimbangan dalam pengembangan kawasan Mandeh
Analisis Hubungan Kondisi Ekosistem Mangrove terhadap Produksi Ikan di Kawasan Konservasi Perairan Kayong Utara: Analysis of the Relationship Between Mangrove Ecosystem Conditions and Fish Production in the Marine Conservation Area of Kayong Utara
No full textKawasan Konservasi Perairan Kabupaten Kayong Utara bertujuan untuk melindungi dan memanfaatkan sumber daya perikanan secara berkelanjutan, termasuk udang penaeid, pesut, dan ekosistem mangrove. Pengelolaan yang efektif memerlukan data spasial mengenai target konservasi guna mendukung perencanaan dan evaluasi yang komprehensif. Penelitian ini menganalisis hubungan antara indeks vegetasi mangrove (NDVI) dari citra satelit dengan produksi ikan di kawasan konservasi menggunakan pendekatan produktivitas mangrove. Penelitian ini terdiri dari empat tahapan: (i) analisis stok dan produksi ikan dengan model produktivitas mangrove, (ii) analisis korelasi antara produksi ikan dan kondisi mangrove, (iii) pengukuran parameter fisikokimia perairan, serta (iv) analisis korelasi antara faktor fisikokimia perairan dan produksi ikan. Hasil penelitian menunjukkan bahwa rata-rata produksi serasah mangrove mencapai 2,09±0,86 g berat kering/m²/hari atau 8,42±3,47 ton/ha/tahun, sementara produksi ikan berkisar antara 190,17–690,28 kg/ha/tahun dengan rata-rata 448,82±185,61 kg/ha/tahun. Terdapat korelasi positif sedang antara NDVI dan produksi ikan (r = 0,51), sedangkan parameter Dissolved Oxygen (DO) dan Muatan Padatan Tersuspensi (MPT) menunjukkan korelasi negatif terhadap produksi ikan (r = -0,65 dan -0,57). Hasil penelitian ini menegaskan peran penting ekosistem mangrove dalam mendukung produktivitas perikanan. Oleh karena itu, upaya konservasi mangrove perlu diperkuat guna menjaga keseimbangan ekosistem dan keberlanjutan sumber daya perikanan.The North Kayong Regency Marine Conservation Area serves to protect and sustainably utilize fishery resources, including penaeid shrimp, porpoises, and mangrove ecosystems. Effective management requires spatial data on conservation targets to support comprehensive planning and evaluation. This study analyzes the relationship between the mangrove vegetation index (NDVI), derived from satellite imagery, and fish production in the conservation area using a mangrove productivity approach. The research comprises four stages: (i) analysis of fish stock and production using the mangrove productivity model, (ii) correlation analysis between fish production and mangrove conditions, (iii) measurement of physicochemical water parameters, and (iv) correlation analysis between physicochemical water factors and fish production. The results indicate that the average daily mangrove litterfall production across all stations is 2.09±0.86 g dry weight/m²/day or 8.42±3.47 tons/ha/year, while fish production ranges from 190.17 to 690.28 kg/ha/year, with an average of 448.82±185.61 kg/ha/year. A moderate positive correlation is observed between NDVI and fish production (r = 0.51), whereas Dissolved Oxygen (DO) and Total Suspended Solids (TSS) exhibit a negative correlation with fish production (r = -0.65 and -0.57, respectively). These findings underscore the crucial role of mangrove ecosystems in supporting fishery productivity. Therefore, strengthening mangrove conservation efforts is essential to maintaining ecosystem balance and ensuring the sustainability of fishery resources
Kerapatan dan Biomassa Pohon di Kampus Universitas Tanjungpura sebagai Kantong Karbon Kota Pontianak
No full textTanjungpura University as an educational institution takes an important role in preserving the environment in Pontianak City, by prioritise green space and keep the trees around the campus remain sustainable. This research aims to know the total biomass and carbon stock at Tanjungpura University. The study was conducted from February to July 2017 at Tanjungpura University Pontianak, West Kalimantan. Carbon stock estimated by two categories, green space and administration and study area. Biomass estimated using allometric equation (Chave et al., 2005) by census every stand with DBH ≥ 5 cm. The results showed that total biomass ranged from 17,70-127,93 t/ ha with mean 71,10 t/ ha and carbon storage ranged from 8,85-63,97 t/ ha with mean 35,55 t C/ ha, and tree density mean 125,87 ind/ ha. Acacia mangium emerged as the highest carbon stock contributor in Untan (163,13 t C)
Pemetaan Potensi Karbon Biru pada Kawasan Mangrove di Kabupaten Kayong Utara
No full textDistribution and extent of existing mangroves, conditions, and potential for blue carbon are needed to encourage the economy of coastal communities as coastal ecosystem services. Kayong Utara Regency as one of the regencies in the coastal area of West Kalimantan has the potential for mangroves to be utilized by coastal communities but there has been no ecological study of the potential for blue carbon contained therein. This study aims to map the distribution of mangroves and their conditions and to map the spatial distribution of mangrove carbon stocks in the Kayong Utara Regency. The mapping method for the distribution of existing mangroves is carried out using the visual interpretation method by making a certain false-color RGB composite, the distribution of mangroves is identified using nine key elements of image interpretation. Mangrove conditions were analyzed through mangrove cover using the hemispherical photography method. Mapping of carbon stocks was carried out using a linear regression model formulation of several vegetation index variables and carbon stock values from making observation plots, then analyzed spatially. The research results show that the mangrove area in North Kayong Regency is 20,543.40 ha, spread throughout the district. Mangrove conditions consist of the categories rare 3.92%, moderate 53.07%, and dense 43.01%. Tree density (DBH ≥ 10 cm) from 56 survey points ranged from 100 – 2800 individual ha-1 with AGC values ranging from 4.21 – 1375.74 Mg ha-1. The dominant mangrove species found included Avicennia alba, A. lanata, A. marina, Bruguiera parviflora, Excoecaria agallocha, Rhizophora apiculata, R. mucronata, R. stylosa, Xylocarpus granatum. The best linear regression model in this study uses the MDI2 variable with the formulation y = 225.08x – 114.55 and the Pearson correlation value (r) = 0.377. The AGC potential value of the selected model ranges from 0 – 631.92 Mg ha-1 spread with the largest potential value found in Pulau Maya District. Data sebaran dan luasan mangrove eksisting, kondisi dan potensi karbon biru diperlukan untuk mendorong peningkatan ekonomi masyarakat pesisir sebagai jasa ekosistem pesisir yang masih terbatas saat ini. Kabupaten Kayong Utara sebagai salah satu Kabupaten di wilayah pesisir Kalimantan Barat memiliki potensi mangrove yang dimanfaatkan oleh masyarakat pesisir namun belum ada kajian ekologis tentang potensi karbon biru yang terdapat didalamnya. Penelitian ini bertujuan untuk memetakan sebaran mangrove dan kondisjnya serta memetakan distribusi spasial stok karbon mangrove di Kabupaten Kayong Utara. Metode pemetaan sebaran mangrove eksisting dilakukan dengan menggunakan metode interpetasi visual dengan membuat komposit false-color RGB tertentu, sebaran mangrove diidentifikasi dengan menggunakan sembilan unsur kunci interpetasi citra. Kondisi mangrove dianalisis melalui tutupan mangrove dengan metode hemispherical photography. Pemetaan stok karbon dilakukan dengan formulasi model regresi linear beberapa variabel indeks vegetasi dan nilai stok karbon dari pembuatan plot pengamatan, kemudian dianalisis secara spasial. Hasil penelitian menunjukkan luasan mangrove di Kabupaten Kayong Utara sebesar 20.543,40 ha, tersebar di seluruh Kecamatan. Kondisi mangrove terdiri atas kategori jarang 3,92%, sedang 53,07% dan rapat 43,01%. Kerapatan pohon (DBH ≥ 10 cm) dari 56 titik survey berkisar antara 100 – 2800 ind ha-1 dengan nilai AGC berkisar 4,21 – 1375,74 Mg ha-1. Spesies mangrove dominan yang ditemukan antara lain Avicennia alba, A. lanata, A. marina, Bruguiera parviflora, Excoecaria agallocha, Rhizophora apiculata, R. mucronata, R. stylosa, Xylocarpus granatum. Model regresi linear yang terbaik pada penelitian ini menggunakan variabel MDI2 dengan formulasi y = 225,08x – 114,55 dan nilai korelasi pearson (r) = 0,377. Nilai potensi AGC dari model yang dipilih berkisar antara 0 – 631,92 Mg ha-1 tersebar dengan nilai potensi terbesar terdapat di Kecamatan Pulau Maya.
Analysis of Mangrove Suitability for Ecotourism Development Based on Geographic Information System in Kemboja Village North Kayong Regency, West Kalimantan
No full textMangrove ecotourism has an important role in maintaining the balance of coastal ecosystems. Mangroves have various important benefits, such as in mitigating climate change with their ability to absorb carbon and protect coastal areas from abrasion. To improve tourism development, the Geographic Information System\u27s ecotourism suitability analysis has become an important instrument. The purpose of this study is to explore mangrove types and the value of the Tourism Suitability Index. A Geographic Information System (GIS) and Tourism Suitability Index (TSI) approach was used to analyze parameter data, including mangrove density, species richness, mangrove thickness, tides and association biota. Results show that the dominant mangrove species are Xylocarpus granatum, Rhizopora mucronata, Rhizopora apiculata, and Bruguiera parviflora, with densities varying from 4 m²/ind to 23 m²/ind. Mangrove thickness varied from <50 to >500 meters, and biota association varied from 1 to 4 groups. The average tides vary in height, providing an important hydrological context. The land suitability analysis showed great mangrove ecotourism potential in Kemboja Village, with 2,532.20 hectares classified as highly suitable (46.07%) and 2,961.86 hectares classified as suitable (53.89%) for sustainable tourism development. Unsuitable areas cover 1.61 hectares (<1%)
Pemetaan Kawasan Mangrove di Kabupaten Mempawah Kalimantan Barat menggunakan Citra Landsat 8 Pada Periode 2017-2019
No full textPemetaan kawasan mangrove melalui data citra satelit dapat memberikan informasi terkini mengenai kondisi dan sebaran mangrove yang ada. Penelitian ini bertujuan untuk memetakan kawasan mangrove yang berada di tiga kecamatan di Kabupaten Mempawah, yaitu Kecamatan Siantan, Segedong dan Sungai Pinyuh, serta memetakan kondisi eksisting kawasan mangrove saat ini. Metode yang digunakan pada penelitian ini adalah dengan kombinasi pendekatan penginderaan jauh dan survey lapangan. Melalui hasil analisis, luasan mangrove diestimasi sebesar 592,56 di Kecamatan Siantan, 287,91 Ha di Kecamatan Segedong dan 245,25 Ha di Kecamatan Sungai Pinyuh. Nilai indeks vegetasi (Normalized Difference Vegetation Index) berkisar antara 0,20 hingga 0,81, dominan kondisi vegetasi berada dalam kondisi baik dengan nilai indeks vegetasi yang tinggi. Terdapat titik-titik di lokasi yang mengalami degradasi dengan nilai indeks vegetasi berkisar 0,20 hingga 0,61. Kondisi eksisting hutan mangrove di 3 kecamatan dapat dikatakan baik, namun terdapat beberapa titik-titik yang mengalami degradasi atau kerusakan secara parsial
Monitoring Kondisi Hutan Mangrove Menggunakan Citra Satelit Di Desa Kemboja Kabupaten Kayong Utara
No full textMangrove adalah jenis vegetasi pantai yang khas di daerah tropis dan terletak di sepanjang pesisir. Mangrove memiliki peran penting dalam mengurangi dampak perubahan iklim dan pemanasan global. Pemantauan kondisi mangrove menunjukkan bahwa setiap tahunnya terjadi penurunan kualitas dan kuantitas mangrove di Indonesia. Pemantauan dan pengelolaan mangrove secara berkelanjutan sangat penting dilakukan oleh masyarakat umum, pemerintah, dan akademisi. Teknik monitoring analisis wilayah yang dilakukan adalah teknik penginderaan jauh dan Sistem Informasi Geografis (SIG). Penelitian ini bertujuan untuk mengetahui kondisi mangrove dan sebarannya di Desa Kemboja, Kecamatan Pulau Maya Kabupaten Kayong Utara Kalimantan Barat, serta hubungan korelasi NDVI dengan kerapatan. Metode yang digunakan adalah klasifikasi citra berbasis piksel dengan menggunakan algoritma Support Vector Machine (SVM). Citra yang digunakan dalam penelitian ini adalah Sentinel-2B tahun 2023 dengan resolusi spasial 10 x 10 m. Survei lapangan dilakukan pada bulan Juni 2023 dengan menggunakan metode random sampling. Klasifikasi berbasis piksel menggunakan algoritma SVM menghasilkan akurasi sebesar 86% dan nilai kappa sebesar 0,83. Berdasarkan analisis hubungan korelasi tutupan kanopi dan nilai Normalized Difference Vegetation Index (NDVI) memiliki hubungan yang kuat dengan nilai r=0,70
housekeeping Departement in the Mercure Hotel BSD City Tangerang
No full textIn the third semester at the Hotel Operation, each student is required to do an industrial placement at the hotel as a requirement for graduation. in the previous semester students had studied room division, such as front office and housekeeping.
From these lessons, students must choose a department to live in during their internship. students must determine which hotel is willing to open an internship. The determination of star hotels is determined by the GPA. Before the hotel called students for an interview, the lecturer had provided them with experiences, materials, and methods.
During the current pandemic, many hotels are closed or not operational so that there are fewer choices. Only a few students took part in the hotel and the rest held at the UMN Dormitory. Luckily the writer was accepted at the Hotel Mercure Tangerang BSD City and there were also other Sahid Tourism Polytechnic universities who were also interning there.
In July 2020 the writer started the internship and ended in January 2021. Before that, he would be given directions related to the selected department. Then you will be taught the basics of housekeeping. At first, the writer would tend to the seniors to understand what the rhythm of working in hotels is.
If the writer clearly understands, then the author will be released without being supervised and given a job description. There the writer is likened to a worker who does not differentiate between those who are training and staff there.
Hopefully, this report can be a reference that can help students in making industrial placement reports for the following year
Comperative study of aboveground biomass and carbon storage between Tembawang and conventional rubber agroforestry in West Kalimantan Indonesia
No full textIn the era of intensive oil palm and rubber plantations in Kalimantan, some local communities of Dayak's tribe in West Kalimantan preserved the traditional agroforestry system "Tembawang". In the last two decades, rubber has been planted traditionally by local communities since the expansion of rubber industries. This study aimed to compare tree above ground biomass (AGB) distribution and carbon storage in different DBH (diameter at breast height) classes between Tembawang and conventional rubber plantation in West Kalimantan, Indonesia. Vegetation transect analysis was carried out on two types of traditional agroforestry namely Tembawang and conventional rubber. AGB estimation was based on the existing allometric, carbon storage was estimated from the percentage of biomass. Total AGB of Tembawang was higher than conventional rubber plantation and significantly different (p < 0.01). The highest AGB accumulation both Tembawang and conventional rubber was found at above 50 cm diameter class. The aboveground carbon storage from Tembawang and conventional rubber plantation were 90.26 and 42.01 Mg C ha-1, respectively. The highest contribution to carbon storage was found at above 50 cm diameter class, estimated 62.58 % from Tembawang and 49.24 % from conventional rubber. AGB and carbon storage at traditional agroforestry in West Kalimantan were greater than varied different agroforestry system, also the estimated value was closed to tropical secondary forests. Tembawang agroforestry has good potential contribution to carbon storage and conservation of native fruit trees of Kalimantan
Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan
No full textBenthic habitats are important for the quality of life and global climate. Systematic and efficient information is important for the monitoring, mapping, and recording of aquatic bottom habitats, thus providing a habitat database. In the last decade, object-based image analysis (OBIA) has been accepted as an effective method for extracting and classifying information from high spatial resolution satellite imagery. Our study\u27s goal is to use WebGIS to combine coral reef monitoring data from Lemukutan Island and find out how much coral cover there is on the island using the smart island WebGIS. This study took place from August 6th to August 13th, 2024, and used a total of 1097 field points to show where all the benthic habitats and Sentinel 2A image data sources were located. The research results obtained the extent of shallow water benthic habitat classification with different variations in each habitat class. The Rock Class covers an area of "‹"‹41,940 ha, the mixed class 2,409 ha, the coral class 130,340 ha, the dead coral class 49,249 ha, the macroalgae class 2,840 ha, and the sand class 12,140 ha. The overall accuracy (OA) results for the waters of Lemukutan Island obtained the highest value, namely 89.5833%, using the SVM algorithm. Regular monitoring of coral reefs can help update Lemukutan Island Smart Island data to become a catalyst in realizing a smart island ecosystem in West Kalimantan Province by presenting benthic habitat maps through web GIS services and realizing technology development for coastal areas and small islands
