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The waters of Pulau Baai are unique waters that are closed or protected which have small pelagic fish resources, used as pelagic fishing areas for local fishermen so that they can help the community's economy. One method that can be used to describe the distribution of pelagic fish density is the use of hydroacoustic technology. This study aims to analyze the value of acoustic backscattering (volume backscattering strength, SV) of pelagic fish and associated with the estimation of the density of pelagic fish in the waters of Pulau Baai, Bengkulu City, through in-situ acoustic measurements. The results showed that in the waters of Pulau Baai the highest average SV value was -50.47 dB, which was thought to have a fish density of 2.57 ind/m3 while for a low average SV with a value of -57.48 dB, it was assumed to have a density of 0.04 ind/m3. The density of pelagic fish is acoustically estimated at 26.47 ind/m3 in the water column of Pulau Baai. The SV value affects the estimated fish density by 69% and is categorized as having a high correlation and a positive correlation direction.

Perairan umum daratan Indonesia memiliki keanekaragaman jenis ikan yang tinggi, sehingga tercatat sebagai salah satu perairan dengan mega biodiversity di Indonesia. Salah satu upaya dalam pengelolaan sumberdaya perikanan secara lestari sebagaimana diamanatkan dalam UU No 31 Tahun 2009 tentang Perikanan, maka diperlukan data dan informasi tentang jenis dan morfologi ikan di suatu perairan. Tujuan dari penelitian ini adalah untuk mengetahui dan mengidentifikasi jenis dan morfologi ikan hasil tangkapan nelayan Pantai Tapak Paderi Kota Bengkulu. Manfaat dari penelitian ini adalah memberikan informasi mengenai jenis-jenis dan morfologi ikan hasil tangkap nelayan Tapak Paderi Kota Bengkulu. Teknik yang digunakan dalam pengambilan sampel yaitu metode pengumpulan sampel yang digunakan adalah Random sampling, sampel ikan laut diambil secara acak langsung dari Nelayan Tapak Paderi. Identifikasi yang dilakukan adalah menghitung panjang total, panjang baku, identifikasi diawali dengan memperhatikan dan mencatat bagian morfologi ikan laut antara lain: warna, posisi mulut, bentuk tubuh, tipe sisik, bentuk sirip ekor, jenis dan jumlah duri pada masing-masing sirip. Berdasarkan hasil penelitian yang diperoleh berhasil menginventarisasi 12 jenis ikan laut hasil tangkapan nelayan di Pantai Tapak Paderi Kota Bengkulu

Turtles are marine reptiles that are protected because of their endangered population. The Convention on International Trade in Endangered of Wild Flora and Fauna (CITES) stipulates seven species of sea turtles in the world into Appendix I as endangered, protected and not exploited in any form. The number of hatchlings that managed to reach the sea is currently difficult to know, one method that can be used to detect the presence of hatchlings in nature is by using the acoustic method. This study aims to analyze the backscatter characteristics of the turtle hatchlings and to determine the relationship between backscattering and body length of the turtle hatchlings. The benefits of this research are expected to be able to provide information about the value of backscatter and the relationship to the body length of hatchlings that can be used as a basis for estimating the stock or abundance of hatchlings in nature. This research was conducted in the waters of the Tapak Padri pond, Bengkulu City. The research implementation takes about 3 months, from August to October 2020. Acoustic data processing is carried out at the Marine Acoustic and Resource Exploration Laboratory, Marine Department, FMIPA, Sriwijaya University, Palembang. The results obtained are that the average value of TS ranges from -52.74 to -48.45 dB for hatchlings length of 7-9.3 cm. Based on the regression equation, the coefficient of determination (R2) obtained is 0.57, so it is known that the total length affects the target strength value by 57% and 43% is influenced by other factors. it can be concluded that there is a relationship between the total length of the hatchlings with the TS value of the hatchlings or the total length has an influence on the magnitude of the TS value in the hatchlings.

Turtles are reptiles that live in the sea and are able to migrate over long distances along the Indian Ocean, Pacific Ocean and Southeast Asia. Currently the number of turtle populations in nature has greatly decreased. This population decline is caused by natural factors and human activities that endanger the population directly or indirectly. At this time the tagging set technique (ID tag code) is a method that is often used to detect the presence of turtles by attaching tags to female turtles who are landing to lay eggs on the beach or while in captivity or the discovery of the mother turtle by fishermen. One other method that can be used to detect the presence of turtles is to use the acoustic method. The purpose of this study was to analyze the characteristics of the acoustic backscattering energy of the green turtle (Chelonia mydes) and to analyze the relationship between target strength and total body length of the green turtle (Chelonia mydas). This research was conducted in the Tapak Paderi waters pond, Bengkulu City, in August-October 2020. The average target strength (TS) value for green turtles was -48.07 dB. Based on the regression equation, the value of determination (R2) obtained is 0.78. Where this value shows that the total length of the green turtle has an effect of 78% on the average target strength (TS) value, while for 22% it is caused by other factors such as body shape, environmental factors and other factors. Based on the ANOVA test, it can be concluded that there is a relationship between the total length and the value of the target strength (TS) on the green turtle or the value of the total length has an influence on the value of the target strength (TS) on the green turtle.

Technological developments, especially in remote sensing in mangrove mapping are growing. One of them is the use of Unmanned Aerial Vehicle (UAV) as a vehicle for capturing aerial photo data. This study aims to map the mangrove ecosystem in order to find out spatial information with UAV technology and to identify mangrove species, distribution, and associations. The ground survey was conducted on 02 until 04 May 2019 in North of Lancang Island, Seribu Islands, DKI Jakarta Province. The mangrove data collection was carried out in four stations with marking, tracking the mangrove area and drone flights for taking aerial photo data. Based on the research, it was found that the mangroves were in good condition with an area of around 4 hectares, consisting of Rhizophora mucronata. However, there is a lot of waste around the mangrove ecosystem, especially inorganic waste in the form of plastic. Where the presence of garbage can cover the roots of the mangrove so that it can affect respiration and cause death in mangroves. The application of UAV technology that is integrated with GIS in mangrove ecosystem mapping is expected to be an alternative in extracting mangrove databases for future coastal ecosystem management.

The problem of crude oil reserve shortage and air quality decline currently have led researches on renewable fuel such as bioethanol and biohydrogen. The attempt to provide such biofuel involves the utilization of enormously available wasted materials, lignocellulose. Coconut husk is one of such materials available in Indonesia. The previous work had reported the quantity of total reducing sugar produced after the enzymatic hydrolysis of pretreated coconut husk. The pretreatment methods used were dilute sodium hydroxide solution (1 and 4% w/v), 1,3-methylmethylimidazolium dimethyl phosphate ionic liquid and the combination of both methods. This work focused on constructing the mathematical model which describes the kinetic of those enzymatic hydrolysis reactions. Mathematical model expressions help describing as well as predicting the process behavior, which is commonly needed in the process design and control. The development of mathematical model in this work was done based on the total reducing sugar concentration resulted in batch hydrolysis reaction. The kinetic parameters including initial available substrate (S0), maximum reaction rate (rmax), and half-maximum rate constant (KM). According to the values of half-maximum rate constant (KM), the enzymatic hydrolysis performance of coconut husk treated using ionic liquid is better than that treated using dilute alkaline solution as the former had shown lower KM value and hence higher enzyme affinity to the substrate. The best hydrolysis result was performed using combination of 1% dilute sodium hydroxide solution and ionic liquid with kinetic model parameter of 0.5524 g/L.h of rmax, 0.0409 g/L of KM, and 4.1919 g/L of S0. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).

Daerah Aliran Sungai (DAS) Bengkulu merupakan suatu bentuk bentang alam yang memiliki peran penting bagi masyarakat di Kota Bengkulu dan Kabupaten Bengkulu Tengah. Salah satu hulu DAS Bengkulu berada di Sub-DAS Rindu Hati yang berada di Desa Rindu Hati Kecamatan Taba Penanjung, Kabupaten Bengkulu Tengah yang memiliki bentang alam yang masih alami dan asri. Tawaran pengembangan wisata berbasis alam di Desa Rindu Hati dengan ekowisata sebagai salah satu kegiatan konservasi yang dapat menjadi usaha berkelanjutan dan bernilai secara ekonomi bagi masyarakat yang tinggal di dalam dan di sekitar kawasan konservasi. Identifikasi potensi daya tarik wisata yang dilakukan bertujuan untuk memahami dan mendeskripsikan keberadaan berbagai jenis potensi lingkungan alam dengan segala karakteristiknya untuk dijadikan sebagai daya tarik wisata. Metode yang digunakan dalam studi identifikasi ini ialah deskriptif berdasarkan Pedoman Analisis Daerah Operasi Obyek dan Daya Tarik Wisata alam (ADO ODTWA) Dirjen PHKA tahun 2003 yang telah dimodifikasi. Data yang disajikan dalam bentuk deskripsi tentang jenis dan karakteristik potensi daya tarik wisata alam yang diperoleh melalui pengamatan lapangan, kuesioner, studi pustaka, dan instrumen penilaian. Hasil penelitian ini menunjukkan nilai sedang, cukup potensial. Sebagai langkah awal, Desa Rindu Hati memiliki potensi yang cukup besar untuk dikembangkan sebagai desa wisata berbasis alam.

Remote sensing can be interpreted as a technology to obtain information on an object on the earth's surface without direct contact with the object to be studied. Along with the development of current technology, the creation of unmanned aircraft technology or UAV (Unmanned Aerial Vehicle). This research was conducted in June 2020 in the southern waters of Tikus Island. The results of mapping coral reefs in the South of Tikus Island using the UAV (Unmanned Aerial Vehicle) obtained an area of 58.22 ha of Tikus Island South and got four classes, namely the living coral area of 15.34 ha. , Dead Coral and Algae 15.60 ha, Sand 8.08 ha, and Rubble 19.20 ha. Accuracy gets a value of 83.3% and this becomes the accuracy of image data with high resolution.Keywords: UAV, Mapping, Coral reefs, Aerial photography, Tikus Island.ABSTRAKPenginderaan jauh dapat diartikan sebagai teknologi untuk memperoleh informasi suatu objek di permukaan bumi tanpa kontak langsung ke objek yang akan dikaji. Seiring berkembangnya teknologi saat ini terciptanya teknologi pesawat tanpa awak atau UAV (Unmanned Aerial Vehicle). Penelitian ini dilakukan pada bulan Juni 2020 di Perairan Selatan Pulau Tikus, Hasil pemetaan terumbu karang di Selatan Pulau Tikus Menggunakan UAV (Unmanned Aerial Vehicle) mendapatkan Luasan Area Selatan Pulau Tikus 58,22 ha dan mendapatkan empat kelas yaitu luasan Karang hidup 15,34 ha, Karang Mati dan Algae 15,60 ha, Pasir 8,08 ha, dan Rubble 19,20 ha. Akurasi mendapatkan nilai 83.3% dan ini menjadi akurasi data citra dengan resolusi tinggi.Kata Kunci: UAV, Pemetaan, Terumbu karang, Foto udara, Pulau Tikus.

Metode akustik dapat digunakan dalam memperkirakan kelimpahan ikan. Metode ini membutuhkan informasi Target Strength (TS) untuk setiap spesies target. TS merupakan parameter penting sebagai faktor skala dalam pendugaan stok secara akustik. Penelitian ini bertujuan menganalisis karakteristik TS ikan selar bentong ( Selar boops ) dan mencari rumusan hubungan panjang baku dan panjang gelembung renang ikan selar bentong ( Selar boops ) terhadap nilai TS pada frekuensi transmisi 38 kHz. Pengukuran dilakukan secara terkontrol dimana ikan ditempatkan di bawah transduser dengan metode tethered menggunakan echosounder Simrad EK-60 pada frekeuensi 38 kHz. Hasil penelitian diperoleh nilai TS ikan selar bentong ( Selar boops ) berukuran panjang baku 16 cm sampai 20 cm menyebar pada kisaran –51,62 dB sampai dengan -39,03 dB, dengan nilai rata – rata -46,67 dB. Model hubungan TS terhadap panjang baku ikan selar bentong yaitu TS = 30,1 Log SL -84,49. Model hubungan TS terhadap panjang gelembung renang yaitu TS = 20,32 Log SB -62,34. ACOUSTIC CONTROLLED MEASUREMENT OF TARGET STRENGTH OF SELAR BENTONG FISH (SELAR B OOPS) I N TIKUS ISLAND WATER, BENGKULU CITY. Acoustic methods can be used to estimate fish abundance. This method requires Target Strength (TS) information for each target species. TS is an important parameter as a scale factor in acoustic estimation of stock. This study aims to analyze the TS characteristics of Selar bentong fish (Selar boops) and look for the formulation of the relationship between the standard length and length of the swim bladder in Selar bentong fish (Selar boops) to the TS value at the transmission frequency of 38 kHz. Measurements were carried out in a controlled manner where the fish were placed under the transducer with a tethered method using the Simrad EK-60 echosounder at a frequency of 38 kHz. The results showed that the TS value of Selar bentong (Selar boops) with a standard length of 16 cm to 20 cm spread over the range of -51.62 dB to -39.03 dB, with an average value of -46.67 dB. The relationship model of TS to the standard length of Selar bentong fish wa s TS = 30.1 Log SL -84.49. The relationship model of TS to swim bladder length wa s TS = 20.32 Log SB -62.34.

Pulau Enggano merupakan salah satu pulau kecil terluar di Indonesia yang terletak di perairan Pantai Barat Sumatera, Samudera Hindia. Pulau Enggano adalah sebuah kecamatan dalam wilayah Kabupaten Bengkulu Utara, Provinsi Bengkulu. Untuk kepentingan ekologis dan ekonomi, semua potensi sumberdaya hayati kelautan yang ada di Pulau Enggano, harus dikelola secara optimal dan berkelanjutan. Tujuan penelitian ini adalah untuk menyusun Dokumen Rencana Pengelolaan dan Zonasi Kawasan Konservasi Perairan Daerah (KKPD) Pulau Enggano, Provinsi Bengkulu. Penelitian dilakukan dengan metode survei. Data primer yaitu kondisi bio-fisik dan persepsi masyarakat, dikumpulkan dengan metode obesrvasi, wawancara dan FGD ( Focus Group Discussion ). Data dikumpulkan dengan metode studi kepustakaan. Semua data di analisis dengan metode deskriptif-kualitatif. Luas wilayah daratan Pulau Enggano, ± 400,6 km² atau ± 40.600 hektar. Ekosistem utama adalah hutan mangrove ± 1414,78 ha (141,478 km 2 ), dan terumbu karang ± 5.097 ha (± 50,97 km 2 ). Potensi sumberdaya hayati lainnya adalah padang lamun, berbagai jenis rumput laut, ikan karang, ikan pelagis dan ikan demersal yang ekonomis penting. Kebijakan pengelolaan KKPD Pulau Enggano diarahkan untuk pemanfaatan kegiatan pariwisata dan perikanan berkelanjutan. Lokasi KKPD Pulau Enggano di tetapkan di Kawasan Desa Banjarsari dan Desa Kahyapu. Visi Pengelolaan Kawasan Konservasi Perairan Daerah (KKPD) Pulau Enggano Kabupaten Bengkulu Utara adalah “Mewujudkan pengelolaan dan pemanfaatan Kawasan Konservasi Perairan Enggano secara optimal, terpadu, dan berkelanjutan, sehingga bermanfaat bagi kesejahteraan dan kemakmuran masyarakat”. Pengelolaan KKPD Pulau Enggano untuk Rencana Jangka Panjang (RJP) adalah selama 20 tahun yang meliputi 4 tahapan Rencana Pengelolaan jangka Menegah (RPJM). MANAGEMENT PLAN AND ZONING OF THE CONSERVATION AREA OF THE ENGGANO ISLAND, BENGKULU PROVINCE . Enggano Island is one of the outer small islands in Indonesia which is located in the waters of the West Coast of Sumatra, Indian Ocean. Enggano Island is a district in the region of North Bengkulu Regency, Bengkulu Province. For ecological and economic interests, all potential of marine living resources that exist on the island of Enggano, must be managed by optimally and sustainably. The purpose of this study was to compile the Document of Management Plan And Zoning of The Enggano Island Regional Marine Conservation Area (RMCA), Bengkulu Province. The study was conducted by survey method. Primary data, namely bio-physical conditions and community perceptions, were collected by observation, interviews and FGD (Focus Group Discussion) methods. Secondary data were collected by the literature study method. All data were analyzed by descriptive-qualitative methods. The total land area of Enggano Island, ± 400.6 km² or ± 40,600 hectares. The main ecosystem is mangrove forest ± 1414.78 ha (141.487 km 2 ), and coral reef ± 5,097 ha (± 50.97 km 2 ). Other potential biological resources are seagrass beds, various types of seaweed, reef fish community, pelagic and demersal fish which are economically important. The management policy of the Enggano Island RMCA is directed for the utilization of sustainable tourism and fisheries activities. The location of the Enggano Island RMCA was determined in the Banjarsari and Kahyapu Villages. The Vision of the Management of the Enggano Island KKPD of North Bengkulu Regency is "Realizing the management and utilization of the Enggano Marine Protected Area in an integrated, optimal and sustainable manner, so that it is beneficial for the welfare and prosperity of the community". The Management of the Enggano Island RMCA for the Long-Term Plan (LTP) is for 20 years which includes 4 stages of the Medium-Term Management Plan (MTMP).

Coral reefs are one of the important ecosystems that need data inventory in order to manage marine resources both spatially and temporally. Remote sensing with drone technology is one of the vehicles for collecting data related to coral reef ecosystems in real time. Along with the times, drones are widely used in research both in terrestrial and in coastal areas. This research was conducted on December 4 – 10, 2018 in the Karang Lebar, Seribu Islands, Jakarta. The purpose of this research was to explored the ability of drones as a vehicle to complement field survey data for coral reef mapping. In addition, conducting a pixel-based analysis for coral reef classification based on WorldView-2 satellite imagery using field survey data and additional data from drone data. Based on the results of the study, information was obtained that drone imagery can help visual interpretation in detecting coral reefs. Thus, field survey data that are not covered in the research area can be assisted by the use of drones as a complementary vehicle for field survey data. The coral reef classification process using WorldView-2 imagery can be mapped well. Drone imagery has proven to be an alternative in field data collection as a training area in identifying coral reef objects, such as with massive coral lifeforms that can be clearly seen from drone images. It's just that visual interpretation is limited because of the water column, making it difficult to identify objects.

The mangroves' aboveground biomass significantly contributes to the global carbon cycle or economic and ecological values. This makes knowledge about the spatial extent of the mangroves indispensable for policymakers. The sequence of mangroves’ condition range also requires remote sensing data to update the geographical information and synthesize carbon stock in Bengkulu. Therefore, this study aims to create a spatial distrribution of mangroves and evaluate their carbon stock in Bengkulu City using Sentinel-2 imagery. The semi-empirical method uses Sentinel-2 imagery through NDVI to appraise and picture the mangroves' aboveground carbon stock. An allometric equation was used to compute the mangroves' aboveground carbon stock from field measurements. Non-linear regression was used to establish a connection between the NDVI calculated from the Sentinel-2 imagery and the mangroves' aboveground biomass measured in the field, which was subsequently used for aboveground carbon estimation. The results showed that mangroves mapping could derive overall accuracy of 89.09%, where the high-density class existed in 135.12 Ha of total area. It was also discovered that Sentinel-2 imagery could estimate mangroves carbon stock up to 61%. The carbon stock estimation based on the imagery has a value of 16.3992 – 115.134 t C/ha, while that of field survey data ranges from 19.69 to 326.06 t C/ha. These results showed that Sentinel-2B spectral data is functional and has a good chance of being able to predict carbon stock. Keywords : Carbon; mangroves; NDVI; remote sensing; sentinel-2B Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Kota Sibolga merupakan salah satu kota yang berada di Provinsi Sumatera Utara. Kota ini terletak di Pantai Barat Sumatera yang berhadapan langsung dengan Samudera Hindia dan merupakan daerah penangkapan ikan (Fishing Ground) bagi nelayan di Sibolga. Tujuan dari penelitian ini untuk mengetahui hasil tangkapan dan menentukan potensi Maksimum Lestari (MSY) Ikan Tongkol pada alat tangkap Purse Seine di pelabuhan perikanan Sibolga. Berdasarkan produksi tertinggi yang mengunakan alat tangkap purse seine yaitu sebesar 134.016 kg sedangkan jumlah produksi terendah 27.456 kg pada kurun waktu satu bulan penelitian yang digunakan adalah metode Deskriptif. Ruang lingkup yaitu Pelabuhan perikanan Sibolga dan analisis data. Hasil produksi sumberdaya Ikan Tongkol dengan alat tangkap purse seine di peroleh melalui data dari pelabuhan perikanaan nusantara Sibolga. Berdasarkan produksi tertinggi yang mengunakan alat tangkap purse seinse yaitu sebesar 134.016 kg Ikan Tongkol Krai (Auxis thazard) sedangkan jumlah produksi terendah 27.456 kg Ikan Tongkol Komo (Euthynnus affinis) pada kurun waktu satu bulan.

Sunglint is a specular reflection of light from water surfaces that may cause misclassification and poor accuracy for benthic habitats mapping. The aim of this research was to investigate sunglint intensity for each benthic habitats and compared the accuracy result before and after sunglint correction from worldview-2 imagery. Hedley method and analysis coefficient of variation (COV) was used to estimate and remove the glint radiance component, while Mahalanobis distance was used to classify before and after sunglint correction from those imagery. The result showed that the average of sunglint intensity on benthic habitats was 38,9%. The highest sunglint intensity effect found in coral reef class (44%) and the lowest one in sand class (34%). The overall accuracy before and after sunglint correction were 53% and 60%. Sunglint correction well to do in reducing the effect of sunglint and increase the overall accuracy till 7%.

The great potential in coastal sandy lands is followed by various problems and limiting factors that cause the acceleration of land use for agricultural purpose run very slowly. To overcome these limiting factors, appropriate modification and implementation of innovation is needed, namely the providing of soil conditioning materials, such as organic matter. One source of organic material that is still very rarely used, affordable, easy and cheap and simple in its application is the waste of coconut powder and human waste which we call biococotin. Providing of biococotin in coastal sandy lands decreases basic pH near neutral, increasing levels of N, P, K, C-Organic and cation exchange capacity has decreased from 7.20 to 6.40%. N levels increased from 0.021% to 0.17%, P-available increased from 2.52 ppm to 20.13 ppm, K levels increased from 2.52 cmol (+) to 9.35 cmol (+) and CEC increased from 4, 04 cmol (+) / kg becomes 7.07 cmol (+) / kg. The best growth parameters (plant height, number of leaves, longest leaf length and longest leaf width) are shown by treatment 2 which is half the dose of NPK and biococotin. The best average planting weight and yield per ha is shown by treatment 2, which is half the dose of NPK and biococotin, which is 44.03 grams / plant and 26.41 tons / ha bicocotin. Keywords : B iococotin, Coastal area, Cocopeat

BKK Tunas Insan Kaya has some shortcomings in supporting to serve the registrant from a great distance as well as from schools outside Banyumas. The current registration by filling out the form at the registration post and google drive, so the registrant often forget or do not know about the test schedule or announcement accepted or rejected by the company. Notifications via short messages SMS are sometimes ineffective applicants prefer to change the SIM card to get more internet quota. Making BKK Tunas Insan Kaya website can solve the distance problem, time and better information management. Following recruitment is as easy as pressing a button to bet he goal of this project. Applicant come not only from Banyumas district but also from outside Banyumas distric. This shows the function of BKK Tunas Insan Karya as an institution among active work in enforce it’s duties. The membership fee can be transferred through the bank then the registrant upload the edvince through the member’s space. Test carad and schedule selection can be downloaded in the member’s room when it becomes member and pay the selection fee. Keywords: BKK Tunas Insan Karya, Information System Registration, Website Abstrak - BKK Tunas Insan Kaya memiliki kesulitan untuk melayani Pendaftar dengan jarak yang jauh maupun dari sekolah di luar Banyumas. Pendaftaran yang dilakukan saat ini di lakukan melalui pengisian formulir di posko pendaftaran dan google drive. sehingga Pendaftar sering lupa atau tidak tahu mengenai jadwal tes maupun pengumuman diterima atau ditolak oleh Perusahaan. Pemberitahuan melalui pesan singkat SMS terkadang tidak efektif karena Pendaftar lebih memilih ganti kartu untuk mendapatkan kuota Internet yang banyak. Pembuatan website untuk BKK Tunas Insan Karya dapat mengatasi masalah jarak, waktu dan pengolahan informasi yang lebih baik. Mengikuti proses seleksi semudah menekan tombol menjadi tujuan Proyek ini. Pendaftar datang tidak hanya dari Kabupaten Banyumas tetapi juga dari Berbagai kota di luar Karsidenan Banyumas. Hal ini menujukan peningkatan Fungsi BKK Tunas Insan Karya sebagai lembaga antar kerja aktif dalam melakukan tugasnya. Iuran penyelenggaraan dapat di transfer melalui bank kemudian Pendaftar mengunggah bukti melalui ruang Member. Kartu ujian dan jadwal seleksi dapat diunduh diruang member apabila sudah menjadi member dan membayar iuran penyelenggaran seleksi. Kata Kunci: BKK Tunas Insan Karya, Sistem Informasi Pendaftaran, Website

Object-based classification methods suitable for high resolution satellite imagery Worldview-2 provides a valid alternative to pixel-based methods. This study compares the results of an object-based to pixel-based classification for benthic habitats map in Pari islands of DKI Jakarta-Indonesia. The object-based approach involved segmentation of image data into object at multiple scale levels. The objects of the research were assign classes using training object to the support vector machines classification (object-based and pixel-based classification). Ground truth habitats for accuracy assessment using confusion matrices of both classification were undertaken based on 230 reference sites. An optimized segmentation was performed to get optimum classification result. The results showed, the overall accuracy on object-based classification was 75%, while the pixel-based classification produce the low overall accuracy was 61%. This research suggest that the object-based technique could be a promise approach for mapping benthic habitats, where the information obtained from this research was more accurate.

Shallow marine waters comprise diverse benthic types forming habitats for reef fish community, which important for the livelihood of coastal and small island inhabitants. Satellite imagery provide synoptic map of benthic habitat and further utilized to estimate reef fish stock. The objective of this research was to estimate reef fish stock in complex coral reef of Pulau Pari, by utilizing high resolution satellite imagery of the WorldView-2 in combination with field data such as visual census of reef fish. Field survey was conducted between May-August 2013 with 160 sampling points representing four sites (north, south, west, and east). The image was analy-zed and grouped into five classes of benthic habitats i.e., live coral (LC), dead coral (DC), sand (Sa), seagrass (Sg), and mix (Mx) (combination seagrass+coral and seagrass+sand). The overall accuracy of benthic habitat map was 78%. Field survey revealed that the highest live coral cover (58%) was found at the north site with fish density 3.69 and 1.50 ind/m2at 3 and 10 m depth, respectively. Meanwhile, the lowest live coral cover (18%) was found at the south site with fish density 2.79 and 2.18 ind/m2 at 3 and 10 m depth, respectively. Interpolation on fish density data in each habitat class resulted in standing stock reef fish estimation: LC (5,340,698 ind), DC (56,254,356 ind), Sa (13,370,154 ind), Sg (1,776,195 ind) and Mx (14,557,680 ind). Keywords: mapping, satellite imagery, benthic habitat, reef fish, stock estimation