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<![CDATA[E-Upakara, Bebantenan Learning Information System with Tree Diagram Model ]]>
<![CDATA[Sudana, Anak Agung Kompiang Oka]]>;
<![CDATA[Putra, I Dewa Nyoman Nurweda]]>;
<![CDATA[Wirdiani, Ni Kadek Ayu]]>;
<![CDATA[Taradhita, Dewa Ayu Nadia]]>
<![CDATA[ Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v7i1.21620
<![CDATA[Researches on the implementation of information technology in Balinese culture and Hindu religion are still relatively rare, because Balinese culture is often perceived as “old fashioned†compared to information technology as something modern. In Hinduism, Yadnya ceremony is a religious ceremony when Hindus expressed gratitude to God, to fellow humans, to the resi, (priest/teacher), to the ancestors, and to Bhuta Kala. The implementation of Yadnya is usually accompanied with bebantenan (offerings) or upakara. Nowadays there are many Hindus, especially the younger generation who do not understand about bebantenan and Yadnya ceremony themselves. This is because information about bebantenan and Yadnya ceremony is relatively difficult to obtain. This paper proposes a multimedia based E-Upakara system or Bebantenan Information System that is a part of E-UpacaraYadnya System. Tree data structure is used to model the informations about data contained in bebantenan, and to illustrare the relations between bebantenan and Yadnya. The system can provide information related to the Yadnya ceremony such as the time the ceremony is held, the ceremony procedures, the bebantenan used during the ceremony, procedures of making bebantenan, videos, and pictures of banten.]]>
<![CDATA[E-Upakara, Bebantenan Learning Information System with Tree Diagram Model ]]>
<![CDATA[Sudana, Anak Agung Kompiang Oka]]>;
<![CDATA[Putra, I Dewa Nyoman Nurweda]]>;
<![CDATA[Wirdiani, Ni Kadek Ayu]]>;
<![CDATA[Taradhita, Dewa Ayu Nadia]]>
<![CDATA[ Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v7i1.21620
<![CDATA[Researches on the implementation of information technology in Balinese culture and Hindu religion are still relatively rare, because Balinese culture is often perceived as “old fashioned†compared to information technology as something modern. In Hinduism, Yadnya ceremony is a religious ceremony when Hindus expressed gratitude to God, to fellow humans, to the resi, (priest/teacher), to the ancestors, and to Bhuta Kala. The implementation of Yadnya is usually accompanied with bebantenan (offerings) or upakara. Nowadays there are many Hindus, especially the younger generation who do not understand about bebantenan and Yadnya ceremony themselves. This is because information about bebantenan and Yadnya ceremony is relatively difficult to obtain. This paper proposes a multimedia based E-Upakara system or Bebantenan Information System that is a part of E-UpacaraYadnya System. Tree data structure is used to model the informations about data contained in bebantenan, and to illustrare the relations between bebantenan and Yadnya. The system can provide information related to the Yadnya ceremony such as the time the ceremony is held, the ceremony procedures, the bebantenan used during the ceremony, procedures of making bebantenan, videos, and pictures of banten.]]>
<![CDATA[STUDI TRANSPOR SEDIMEN DI TELUK BENOA MENGGUNAKAN PEMODELAN NUMERIK ]]>
<![CDATA[Herlambang Aulia Rachman]]>;
<![CDATA[I Gede Hendrawan]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>
<![CDATA[ Jurnal Kelautan Vol 9, No 2: Oktober (2016) ]]>
Publisher : <![CDATA[Department of Marine Sciences, Trunojoyo University of Madura, Indonesia ]]>
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DOI: 10.21107/jk.v9i2.1617
<![CDATA[Teluk Benoa merupakan daerah estuari semi tertutup yang terdapat di wilayah selatan Bali. Kawasan ini merupakan daerah yang menjadi muara bagi beberapa sungai besar yang terdapat di Bali. Sungai merupakan salah satu sumber aliran material seperti angkutan sedimen yang dialirkan menuju ke laut. Proses transpor sedimen di Teluk Benoa dapat didekati dengan pemodelan numerik FVCOM (Finite Volume Coastal Ocean Model) untuk mengetahui distribusi sedimen yang terdapat di daerah teluk. Hasil model numerik menunjukkan bahwa proses pergerakan sedimen akan mengikuti bentuk pola arusnya. Pola pergerakan arus di Teluk Benoa akan mengikuti pola pasang surutnya dimana saat akan pasang pola arus akan mengarah ke dalam teluk dan sebaliknya pada saat surut. Kecepatan arus rata-rata pada bagian mulut mencapai 0.8 m/s pada saat menuju pasang dan 0.9 m/s pada saat menuju surut. Besar kecepatan arus akan mengalami perlambatan pada saat kondisi pasang tertinggi dan surut terendah yakni hanya mencapai rata-rata sekitar 0.3 m/s. Konsentrasi sedimen tertinggi pada saat pasang atau surut terjadi pada bagian dekat muara sungai yang mencapai 100 mg/L dan mulut teluk yang mencapai 150 mg/L. Tingginya konsentrasi sedimen di mulut teluk diakibatkan adanya erosi pada bagian dasar perairan akibat kecepatan arus yang cukup tinggi. Hasil validasi elevasi pasang surut pada model didapatkan root mean square error (RMSE) sebesar 9.18 cm dengan koefisien determinasi (R2) mencapai 0.97. Untuk perbandingan hasil model sedimen dengan data observasi berupa Total Suspended Solid memiliki tingkat korelasi sebesar 0.77. STUDY OF SEDIMENT TRANSPORT AT BENOA BAY USING NUMERICAL MODELLINGBenoa Bay is a semi-enclosed estuary area located in the south of Bali. This area is became estuary for several rivers in Bali. The river is a source of material such as sediment transport stream that flowed into the sea. Sediment transport processes in Benoa Bay can be approximated by numerical modeling FVCOM (Finite Volume Coastal Ocean Model) to determine the distribution of sediments found in the bay area. Research carried out by the whole domain Benoa Bay area in January 2016. The results of numerical models show that the process of sediment movement will follow the current pattern shape. The pattern of the movement of currents in the Benoa Bay will follow the pattern of tide where the current will flow lead into the bay at high tide and vice versa. Average flow velocity at the mouth reaches 0.8 m/s at the time to the tide and 0.9 m / s at the time towards low tide. Current speed will slow down when the condition of the highest and lowest tide that is only reached an average of about 0.3 m/s. The highest sediment concentrations at high tide or low tide occurs in the section near the mouth of the river that reached 100 mg/L and the mouth of the bay, which reached 150 mg/L. The high concentration of sediment at the mouth of the bay due to the erosion of the bottom waters due to the flow velocity is high. The results of the validation by tidal elevation models obtained root mean square error (RMSE) of 9:18 cm with a coefficient of determination (R2) reached 0.97. For the comparison of model results with observational data in the form of sediment Total Suspended Solid has a level of correlation of 0.77.Keywords: Benoa Bay, Sediment, Numerical modelling]]>
<![CDATA[Rancang Bangun Aplikasi Analisa Pola Hujan Penyebab Banjir Di Jakarta ]]>
<![CDATA[Ida Bagus Kade Putra Susila]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[Putu Wira Buana]]>
<![CDATA[ Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol. 5, No. 3, Desember 2017 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana ]]>
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DOI: 10.24843/JIM.2017.v05.i03.p01
<![CDATA[Indonesia merupakan negara yang memiliki iklim tropis, salah satu musim yang terdapat pada iklim tropis adalah hujan. Hujan dapat menimbulkan dampak positif dan dampak negatif. Dampak positif dari hujan yaitu dapat memenuhi kebutuhan air bagi makhluk hidup, sedangkan dampak negatif dari hujan yaitu dapat menyebabkan banjir. Penanganan banjir diperlukan untuk meminimalkan kerugian masyarakat akibat bencana banjir, salah satu tindakannya yaitu menangani sumber terjadinya banjir atau genangan. Pemanfaatan teknologi penginderaan jauh pada penelitian ini bertujuan untuk menganalisa pola hujan yang berkaitan dengan sumber terjadinya banjir. Citra satelit yang digunakan pada penelitian ini bersumber dari GSMaP. GSMaP dipergunakan untuk mengambil data curah hujan setiap jam di seluruh dunia. Aplikasi ini menggunakan metode statistika deskriptif untuk memperoleh keputusan bahwa banjir yang terjadi akibat curah hujan yang tinggi atau disebabkan banjir kiriman. Hasil pengujian aplikasi yaitu pola hujan di Jakarta dan Bogor dalam bentuk grafik pola hujan untuk menentukan penyebab banjir di Jakarta.]]>
<![CDATA[Aplikasi Deteksi Tumpahan Minyak dengan Interpretasi Citra Satelit Landsat 8 ]]>
<![CDATA[Veranita Lamrotua Sihombing]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[Gusti Made Arya Sasmita]]>
<![CDATA[ Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol. 6, No. 3, Desember 2018 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana ]]>
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DOI: 10.24843/JIM.2018.v06.i03.p11
<![CDATA[Tumpahan minyak akibat kebocoran pipa pada tahun 2015 menyebarkan minyak di sepanjang perairan cilacap dan menyebabkan tercemarnya perairan cilacap yang mengancam kelangsungan biota hidup di sekitarnya. Tumpahan minyak berhasil dideteksi oleh satelit Landsat 8 dan melalui sistem penginderaan jauh dapat diketahui persebaran tumpahan minyak untuk mempermudah proses penanggulangan dengan memperhitungkan Oil Spill Dispersant yang dibutuhkan. Tujuan dari penelitian ini adalah merancang sebuah aplikasi penginderaan jauh untuk menghitung luas persebaran tumpahan minyak dengan menerima input berupa data citra Landsat 8 dan metadata. Pengolahan citra menggunakan dua algoritma untuk membandingkan perbedaan hasil visualisasi yang di tampilkan. Algoritma yang digunakan adalah algoritma Thresholding dan Oil Spill Index. Aplikasi bekerja secara otomatis melakukan pengolahan citra untuk menghasilkan visualisasi dan persebaran tumpahan minyak. Kata Kunci : Oil Spill Index, Algoritma Thresholding, Tumpahan Minyak]]>
<![CDATA[Implementation Drought Area Identifier Application Of East Bali Based On Remote Sensing ]]>
<![CDATA[Ngurah Padang Adnyana]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[I Ketut Adi Purnawan]]>
<![CDATA[ Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol. 8, No. 1, April 2020 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana ]]>
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DOI: 10.24843/JIM.2020.v08.i01.p05
<![CDATA[Drought is a natural disaster whose frequency is quite high and occurs almost every year. According to the radarbali.jawapos.com page on June 15, 2019, rice fields in Karangasem are threatened by drought. 2000 hectares of agricultural land threatened with drought or did not get irrigation supply because during the dry season the water source used to irrigate the land was drastically reduced and even partly dried up. From the observations of the UPTD of the Horticultural Agricultural Plant Protection Agency (BPTPH) of the Bali Provincial Agriculture Office, until June 2019 there was damage to rice fields due to drought where observations were made since the start of the planting season in May. Drought area information is used to map and calculate the area of drought areas, so that areas with drought potential can be identified. One way to get drought area data is by remote sensing technology. Identification of potential drought areas is the basic idea for the formation of drought identification applications in East Bali. The remote sensing application uses the NDDI (Normalized Difference Drought Index) method. NDDI is the result of calculation of the Normalized Difference Vegetation Index (NDVI) which is an index of vegetation parameters and Normalized Difference Water Index (NDWI) which is the value of wetness of vegetation. The images used in this study are Landsat 8 imagery with OLI (Onboard Operational Land Imager) sensor and TIRS (Thermal Infrared Sensor) sensor. The result of the application of drought area identification is the visualization of drought area and the extent of drought area based on the category of very dry, dry, mild dry, normal and non-classification using hectare units.]]>
<![CDATA[Penginderaan Jauh Pemrosesan Data Satelit Landsat 8 Untuk Deteksi Genangan ]]>
<![CDATA[Tania Maria Octarina]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[Ni Kadek Ayu Wirdiani]]>
<![CDATA[ Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol. 7, No. 1, April 2019 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana ]]>
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DOI: 10.24843/JIM.2019.v07.i01.p09
<![CDATA[DKI Jakarta merupakan daerah yang terkenal dengan bencana banjir pada musim hujan setiap tahun. Salah satu informasi mendasar yang dibutuhkan terkait bencana banjir adalah daerah tergenang banjir. Informasi genangan banjir digunakan untuk melakukan pemetaan dan perhitungan luas genangan, sehingga dapat diketahui daerah yang memiliki potensi banjir. Perhitungan informasi genangan banjir menjadi ide dasar dibentuknya penginderaan jauh pemrosesan data satelit Landsat 8 untuk deteksi genangan. Landsat 8 dimanfaatkan sebagai parameter utama dalam melakukan identifikasi genangan pada penelitian ini. Metode GSWIR (Green-Short Wave Infrared) diaplikasikan pada citra Landsat 8 menggunakan Band 3 (Green) dan Band 6 (SWIR). Metode GSWIR merupakan filter edge detection yang digunakan untuk memisahkan antara air dan non air. Hasil perhitungan metode GSWIR menunjukkan obyek permukaan mempunyai respon spektral dan luas yang bervariasi saat banjir (tergenang air) dan tidak banjir (tidak tergenang air). Metode GSWIR yang diaplikasikan membuktikan metode ini dapat digunakan untuk mendeteksi genangan dengan memisahkan antara air (genangan) dan non air (tidak tergenang air) dikarenakan Band Green memiliki kegunaan untuk memperbesar nilai reflektan dari air, dan badan air memiliki daya serap lebih kuat pada band SWIR. Kata kunci: DKI Jakarta, Genangan, Landsat 8 , GSWIR.]]>
<![CDATA[Kelimpahan dan Keanekaragaman Tunikata (Ascidiacea) di Perairan Jemeluk dan Penuktukan, Bali ]]>
<![CDATA[Ni Made Pitria Menala Saputri]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[Widiastuti Widiastuti]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 5 No 1 (2019) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2019.v05.i01.p02
<![CDATA[Tunikata is an animal shaped like a tube and its body is covered by a mantle (tunic). These organisms have functions and impacts for ecology, pharmacology, people and the economy. However, the various important roles of the tunicate are not matched by information on abundance and diversity in Indonesia in general and the island of Bali in particular. Therefore, this study aims to determine the abundance, species composition and the diversity of tunikata in the waters of Jemeluk and Penuktukan, Bali, where each of these waters has a different coral reef morphology reef flats (Jemeluk) and reef slopes (Penuktukan). Data retrieval is done with a 25x2m2 belt transect and parallel to the shoreline. Determination of location of observation based on purposive sampling method. Analysis of the data used using the abundance formula, species composition and the Shannon-Wiener diversity index. The results showed that the abundance of tunikata in Jemeluk waters did not differ significantly between stations where the highest was found in stations 1 and 3, the lowest at station 2. But the abundance of tunicates in waters Penuktukan significantly different between stations where the highest in three and the lowest station on Station 1. There are nine kinds of tunicates on both waters where species Didemnum molle and Atriolum robustum is the type most commonly found. The highest diversity of tunicate species in Jemeluk waters is found in stations 1 and 3 and the lowest is at station 2, while the highest Penuktukan is located at station 1 and the lowest is at station 3. In general, the index of biodiversity in both waters is categorized as low.]]>
<![CDATA[Struktur Komunitas Makroalga di Perairan Jemeluk dan Penuktukan, Bali ]]>
<![CDATA[Ni Wayan Ayu Astini Sari]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[Widiastuti Widiastuti]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 6 No 1 (2020) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2020.v06.i01.p01
<![CDATA[This research was conducted at Jemeluk and Penuktukan water which have good marine resources with different environmental conditions. Jemeluk beach has reef flat zone and Penuktukan beach has reef slope zone. The aim of this research is to determin the comunity structure of macroalgae in Jemeluk and Penuktukan beach. The data of macroalgae comunity structure collected, use quadratic transect method with a size of 1x1 m placed following the line transect on the coral reefs with macroalgae along 25 meter. Identification of macroalgae using identification books from the Food and Agriculture Organization of the United Nation, The Living Marine Resources of the Western Central Pacific Volume 1: Seaweeds, Corals, Bivalves and Gastropods (FAO, 1998). The results showed that the percentages of macroalgae coverage in Jemeluk beach are found 6 genus of macroalgae with the highest percentage of coverage, density, and dominance of Halimeda (green algae). Simpson's dominance index in the Jemeluk waters is in a low dominance index and diversity is in the medium Shannon-Wiener diversity index. Furthermore Penuktukan beach found 5 genus of macroalgae with highest percentage of cover, density, and dominance by Gracilaria (red algae). Simpson's dominant index in this wates is in the low category and the macroalgae diversity from all stations was in the category of the medium Shannon-Wiener diversity index too.]]>
<![CDATA[Analisis Sebaran Total Suspended Solid (TSS) Berdasarkan Citra Landsat 8 Menggunakan Tiga Algoritma Berbeda Di Perairan Teluk Benoa, Bali ]]>
<![CDATA[Gede Yuda Kamajaya]]>;
<![CDATA[I Dewa Nyoman Nurweda Putra]]>;
<![CDATA[I Nyoman Giri Putra]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 7 No 1 (2021) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2021.v07.i01.p03
<![CDATA[Total suspended solid is a suspended solid that causes turbidity in the waters. These particles cannot settle directly on the bottom of the water. TSS size and weight are smaller than sediment. TSS concentration if too high will inhibit the penetration of light into the water and result in disruption of photosynthesis. The number of human activities around the waters of Benoa Bay can produce pollutant waste into the waters which can cause negative impacts on the conditions of marine life. This TSS value is one part that plays a role in determining the environmental quality of a waters. Seeing the input from the rivers which empties into Benoa Bay, the need for research in the Benoa Bay area is related to total suspended solids. Technological developments, especially in remote sensing, make the implementation of mapping the distribution of TSS concentrations efficient. The method in this study used Landsat 8 satellite images and in situ data. This research was conducted in May 2018. The research location consisted of 30 points by purposive sampling. The TSS concentration value in situ has an average concentration of 301.65 mg / L. Middle waters have greater concentration because this is due to the effects of tides. TSS concentration values from images can be calculated using the Budhiman, Guzman and Parvati algorithms. The results of the calculation of the three algorithms have an error value above 30%. This may be due to differences in water conditions which result in differences in concentration from the insitu value and the value of satellite images in the waters of Benoa Bay.]]>
