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"Termites are a group of invertebrates abundant in forested habitats. In this study, we conduct an inventory and spatialanalysis of the termite fauna of the UI campus. The survey records the presence of six termite species (Coptotermescurvignathus, Schedorhinotermes javanicus, Macrotermes gilvus, Microtermes insperatus, Odontotermes grandiceps,and Odontotermes javanicus), most of which had been reported by previous studies. The spatial analysis of termite nestdistribution suggests a random scattering of termite nests in the UI campus."

"Barau delta is a coastal ecosystem where man-made activities are relatively low. The present study has investigated spatial distribution of Pb,Cr,Cu and Zn in sendiments and their implication to benthic biota...."

"ABSTRAKIdentifikasi keberadaan debu vulkanik dan prediksi sebarannya di udara pada saat terjadi erupsi gunung berapi sangat diperlukan guna keselamatan penerbangan dan publik secara umum. Berbagai metode telah dikembangkan untuk keperluan pemantauan sebaran debu agar dapat memberikan peringatan dini kepada pemangku kepentingan yang terkait. Penelitian ini dilakukan untuk memperoleh informasi tentang perbedaan sebaran debu vulkanik dengan tiga metode deteksi yang berbeda dan membandingkan hasil prediksi model HYPSLITdan observasi sebaran debu vulkanik dengan citra satelit cuaca MTSAT/Himawari.Kasus erupsi gunung yang dikaji berbeda baik tipe erupsi maupun waktu kejadian khususnya pada kasus erupsi Gunung Kelud 13-14 Februari 2015, Gunung Rinjani 16 Juli 2015, dan Gunung Rinjani 3-4 November 2015. Hasil penelitian menunjukkan bahwa terdapat perbedaan pola sebaran debu vulkanik antara tipe erupsi yang berbeda yang disebabkan oleh beberapa faktor antara lain: ketinggian kolom erupsi, volume material vulkanik, arah dan kecepatan angin pada beberapa ketinggian atmosfer. Prediksi sebaran debu vulkanik Gunung Kelud dengan model HYSPLIT memiliki indeks kesamaan yang cukup tinggi dengan hasil observasi satelit, dengan nilai Indeks Similaritas sebesar 59.68 . Sedangkan indeks similaritas untuk G. Raung dan G. Rinjani relatif kecil yaitu sebesar masing-masing 17.96 dan 15.97 .

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ABSTRACTIdentification of the presence of volcanic ash and distribution forecast in the air during a volcanic eruption is very important to flight safety and the general public. Various methods have been developed to monitor the distribution of volcanic ash in order to provide early warnings to the relevant stakeholders. This research was conducted to obtain information about the differences in the distribution of volcanic ash with three different detection methods and comparing the results of HYPSLIT model predictions of volcanic ash dispersion with observation by MTSAT Himawari weather satellite imageries. Different types of eruptions and time of occurrence were examined Mt. Kelud eruption on 13 to 14 February 2015, Mt. Rinjani eruption on 16 July 2015, and Mt. Rinjani eruption on 3 4 November 2015. The results showed that there were differences between the distribution patterns of volcanic ash eruption between different eruption types which were caused by several factors such as height of the eruption column, the volume of volcanic material, wind speed and direction at some altitude atmosphere. Prediction of volcanic ash distribution for Mt. Kelud with HYSPLIT model resulting moderate similarity compared to the results of satellite observations, with the value of Jaccard Similarity Index of 59.68 . Whereas for both Mt. Raung and Mt. Rinjani shown relatively weak similarity index values of 17.96 and 15.97 respectively. "

"Salah satu bentuk ulasan digital saat ini adalah consumer review website (CRW). Website Zomato merupakan salah satu CRW yang banyak digunakan dan indeks popularitas restoran yang ada di dalamnya memudahkan penggunanya untuk memilih restoran yang terbaik, terutama di Kota Bandung yang terkenal akan kulinernya. Mengingat indeks popularitas di sini penting, perlu diketahui distribusi spasial restoran berindeks popularitas, karakteristiknya, dan faktor yang mempengaruhi distribusi spasial indeks popularitas restoran di Kota Bandung. Data yang diperlukan berupa data atribut restoran, POI fungsional, kawasan CBD, jaringan jalan, penggunaan lahan dan kepadatan penduduk. Metode analisis yang digunakan berupa Nearest Neighbor Analysis (NNA), Kernel Density, Near Analysis, uji ANOVA/Kruskal Wallis, dan uji Pearson Product Moment. Hasil yang didapatkan berupa restoran terbanyak berada pada Kecamatan Bandung Wetan, Kecamatan Coblong, dan Kecamatan Sumur Bandung. Restoran dengan popularitas tinggi, sedang, dan rendah memiliki karakteristik distribusi spasial yang mengelompok dan kepadatan yang besar di lokasi yang memiliki kemudahan aksesibilitas, terdapat POI fungsional yang mendukung, dekat dengan pusat kegiatan, dan berada di permukiman. Rata-rata jarak restoran ke jaringan jalan, POI Fungsional, dan penggunaan lahan dimana restoran tersebut berada menjadi faktor yang berpengaruh terhadap indeks popularitas restoran. Hasil korelasi antara kepadatan penduduk dan indeks popularitas restoran menunjukkan tidak ada korelasi diantara keduanya.

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One form of digital review today is the consumer review website (CRW). The Zomato website is one of the most widely used CRWs and the restaurant popularity index in it makes it easy for users to choose the best restaurant, especially in the city of Bandung which is famous for its culinary. Given the importance of the popularity index here, it is necessary to know the spatial distribution of the popularity indexed restaurant, its characteristics, and the factors that affect the spatial distribution of the restaurant popularity index in Bandung. The data needed are restaurant attribute data, functional POI, CBD area, road network, land use and population density. The analytical methods used are Nearest Neighbor Analysis (NNA), Kernel Density, Near Analysis, ANOVA/Kruskal Wallis test, and Pearson Product Moment test. The results obtained in the form of the most restaurants are in Bandung Wetan District, Coblong District, and Sumur Bandung District. Restaurants with high, medium, and low popularity have the characteristics of clustered spatial distribution and large density in locations that have easy accessibility, have functional POIs that support, are close to the center of activity, and are located in residential areas. The average distance of the restaurant to the road network, functional POI, and land use where the restaurant is located are factors that affect the restaurant popularity index. The correlation between population density and restaurant popularity index shows no correlation between the two. "

"Bakteri heterotrofik berperan penting dalam sistem perairan sebagai perombak dan meremineralisasi bahan-bhan organik menjadi komponen anorganik sederhana. Perairan Danau Toba selain sebagai asset pariwisata, juga dibeberapa lokasi telah dimanfaatkan untuk budidaya ikan dengan karamba jaring apung (KJA), yang berpotensi sebagai sumber masuknya bahan organik keperairan tersebut. Penelitian ini bertujuan untuk mengetahui distribusi dan kelimpahan populasi bakteri heterotrofik sebagai bioindikator perombakan bahan organik di perairan Danau Toba. Penelitian dilakukan di danau Toba pada bulan April 2010 di 19 stasiun, dan pada bulan Juni di 16 stasiun. Penghitungan kelimpahan bakteri menggunakan meoda TPC dan MPN. Hasil pengamatan menunjukkan distribusi spasial bakteri bervariasi dan berfluktuatif dengankelimpahan relatif tinggi, yang mengindikasikan perairan eutrofik dan diduga terkait dengan kadar bahan organik yang juga cukup tinggi di perairan. Kelimpahan bakteri heterotrofik tertinggi pada bulan April 2010 mencapai 3,06 x 10.000.000 upk/mL, dan pada Juni 2010 mencapai 3,40 x 1.000.000 upk/mL dan didapatkan di wilayah KJA Haranggaol. Pengamatan ex situ menunjukkan perombakan bahan organik (amonifikasi) di perairan danau Toba telah terjadi dalam waktu 1 - 2 hari dan proses nitrifikasi dalam waktu 2 - 6 hari. "

"Internet menjadi sarana komunikasi yang paling penting dalam kehidupan sehari-hari. Dengan perkembangan internet yang cukup pesat membuat sektor perhotelan mencari cara untuk memberikan informasi mengenai hotelnya dengan media situs internet. TripAdvisor merupakan salah satu situs yang berisi ulasan mengenai pariwisata di Indonesia maupun di dunia, salah satunya adalah mengulas sebuah hotel. Situs yang dimiliki TripAdvisor ini biasa disebut dengan Consumer Review Website (CRW) yang berartikan informasi elektronik yang menggunakan kata-kata orang lain sebagai informasi untuk rekomendasi hotel. TripAdvisor memiliki basis data 1001 hotel di Kota Bandung yang termasuk didalamnya terdapat indeks popularitas, alamat hotel, dan kelas hotel. Data ini didapatkan dari Application Program Interface (API) di situs TripAdvisor. Indeks popularitas diklasifikasikan menjadi tiga, yaitu klasifikasi rendah, klasifikasi sedang dan klasifikasi tinggi. Pengklasifikasian juga dilakukan pada kelas hotel yang dibagi menjadi 3 kelas yaitu hotel bintang 4-5, hotel bintang 1-3, dan hotel non bintang. Analisis yang digunakan adalah Nearest Neighbor Analysis (NNA) dan Kernel Density (KD). Dengan hasil tersebut didapatkan bahwa hotel di Kota Bandung memiliki pola yang mengelompok. Pengelompokan ini dikarenakan adanya pola yang mengikuti jaringan jalan dan faktor lain seperti kebijakan Pemerintah Kota Bandung. Selain itu, hotel berbintang dan non bintang berdasarkan indeks popularitas akan dipengaruhi oleh objek disekelilingnya dan aksesibilitasnya. Semakin rendah bintang dan popularitasnya maka semakin jauh dari titik fungsional serta akses yang rendah, dan sebaliknya. Selain itu, faktor pemasaran dan kebijakan pemerintah menjadi salah satu yang mempengaruhi indeks popularitas

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The internet is the most important of communication in everyday life. With the growing development of the internet, the hotel sector is looking for ways to provide information about their hotels using the internet as media. TripAdvisor is one site that contains reviews of tourism in Indonesia and in the world, one of which is reviewing a hotel. This site owned by TripAdvisor is commonly called the Consumer Review Website (CRW) which means electronic information that uses other people's words as information for hotel recommendations. TripAdvisor has a database of 1001 hotels in Bandung which includes a popularity index, hotel address, and hotel class. This data is obtained from the Application Program Interface (API) on the TripAdvisor website. The popularity index is classified into three categories, namely low classification, medium classification, and high classification. Classification is also carried out on hotel classes which are divided into 3 classes, namely 4 - 5 star hotels, 1-3 star hotels, and non-star hotels. The analysis used is Nearest Neighbor Analysis (NNA) and Kernel Density (KD). With these results, it is found that hotels in the city of Bandung have a clustered pattern. This grouping is due to a pattern that follows the road network and other factors such as Bandung City Government policies. In addition, star and non-star hotels based on the popularity index will be influenced by the surrounding objects and their accessibility. The lower the star and the popularity, the further away from the low functional and access point, and vice versa. In addition, marketing factors and government policies are among the factors affecting the popularity index"

"ABSTRACTCropping intensification in rainfed rice based farming systems through multiple cropping after the rice harvest by using residual soil moisture and supplemental irrigation offers a way to increase agricultural productivity and boost rural incomes in Northeast Thailand. This study identifies localities, planted areas, types of crops, and number of households growing crops after rainfed rice in Khon Kaen Province; it also analyzes some of the physical and social factors associated with the occurrence of this system. A questionnaire survey was conducted in 2013 of 198 agricultural extension officers in each subdistrict (tambol) in the province to collect data on multiple cropping. An area of 10,384 ha (2.9% of the total rainfed rice area) was used for multiple cropping by 16,184 households (10.9% of all rainfed rice farming households). Both field crops (e.g., cassava, crotalaria, field corn) and vegetables (e.g., sweet corn, watermelon, Chinese radish) were grown. These crops generated USD414 to 49,072 per hectare per crop for a total revenue of USD32 million, which is three times higher than the value of rice grown in the same field area. However, the area that can be utilized for multiple cropping in different subdistricts may be limited by physical conditions, including availability of irrigation sources and soil texture, as well as social and economic factors such as availability of markets, institutional support, and farmer skills."

"ABSTRAKBencana alam merupakan fenomena alam yang dapat mengakibatkan kerusakan dan kehancuran terhadap lingkungan, baik berupa kerugian harta benda maupun kerusakan berbagai infrastruktur. Kabupaten Bojonegoro merupakan salah satu wilayah yang memiliki tingkat kerusakan dan kerugian yang paling besar akibat bencana alam berupa banjir. Penelitian ini bertujuan untuk: 1 Mengidentifikasi sebaran dan karakteristik daerah banjir yang terjadi pada kurun waktu 2013 - 2015 di Kabupaten Bojonegoro, 2 Mengestimasi biaya beban kerugian banjir meliputi kerusakan permukiman, infrastruktur di daerah terdampak banjir, 3 Mengevaluasi upaya penanganan dan pengendalian pascabencana banjir, berdasarkan rambu prosedur yang ditetapkan oleh BNPB. Metode yang digunakan dalam menghitung biaya kerusakan akibat bencana banjir pada masing-masing unit analisis, dilakukan melalui pendekatam ECLAC Economic Comission for Latin American and Carribean . Variabel yang digunakan dalam penelitian ini berdasarkan faktor fisik berupa ketinggian, penggunaan lahan, curah hujan, dan berdasarkan faktor sosial berupa kerusakan dan kerugian akibat banjir. Hasil penelitian menunjukkan bahwa kejadian banjir di Kabupaten Bojonegoro pada tahun 2013-2015 tersebar hampir merata di seluruh kecamatan dengan genangan banjir terluas terdapat di Kecamatan Dander 3.428,47 Ha , wilayah dengan kerusakan dan kerugian terbesar adalah Kecamatan Balen. Oleh karena itu, diperlukan adanya upaya pengendalian banjir, yang meliputi upaya struktural dan non struktural. Upaya penanganan banjir di Kabupaten Bojonegoro meliputi upaya penanganan saat darurat bencana dan upaya penanganan pasca bencana. Kata kunci: banjir, ECLAC, kerusakan, kerugian, estimasi biaya , sebaran spasial

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ABSTRACTNatural disaster is a natural phenomenon that can cause damage and destruction to the environment, either in the form of property loss or damage to various infrastructure. Bojonegoro is one of the areas that have the highest level of damage and losses due to natural disaster in the form of floods. The purpose of this research are 1 Identify the distribution and characteristics of flood areas that occur over time 2013 ndash 2015 in Bojonegoro, 2 Estimate the cost of flood losses include damage to settlements, infrastructure in flood affected areas, 3 Evaluate the effort of handling and controlling after flood, based on signs procedure by BNPB National Board for Disaster Management . Methods used to calculate damage cause by flood in each unit analysis, through the approach of ECLAC Economic Comission for Latin American and Carribean . Variable used in this research based on physical factors, such as elevation, land use, rainfall, and based on social factors such as damage and losses due to flood. The result showed that flood incidence in Bojonegoro in 2013 ndash 2015 spread almost in all sub districts with the widest flooding inundation in Dander District 3,428.47 Ha , Balen District is the area with the biggest damage and losses. Therefore, there needs to be a flood control effort, which includes structural and non structural efforts. Efforts to handle flood in Bojonegoro include disaster mitigation and post disaster handling efforts. Keywords Flood, ECLAC, , Damage, Losses, Estimated Costs, Spatial Distribution "

"Kecamatan Mancak adalah kecamatan yang paling sering terjadi tanah longsor di Kabupaten Serang. Dengan tanah longsor bisa diprediksi melalui kelembapan tanah dan biasanya tanah longsor sering terjadi di tanah yang lembap, maka ada kemungkinan bahwa hal tersebut benar. Penelitian ini menggali persebaran spasial kelembapan tanah dengan tanah longsor di Kecamatan Mancak serta menguji keterkaitan antara kelembapan tanah dengan tanah longsor. Untuk mengeksplorasi persebaran spasial kelembapan tanah dan tanah longsor tersebut, sistem informasi geografis dapat digunakan untuk meng-overlay peta kelembapan tanah dengan peta tanah longsor dan menggunakan metode korelasi Pearson untuk mengeksplorasi korelasi antara kelembapan tanah dengan tanah longsor. Hasil dari overlay dan uji statistika adalah adanya hubungan berbanding terbalik antara kelembapan tanah dengan tanah longsor.

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Mancak Subdistrict has the most landslides among all other subdistricts in Serang Regency. As landslides are predicted via knowing the soil moisture and landslides likely to occur at moist soils, there are chances that that is actually correct. This research studies spatial distributions of soil moisture and spatial distribution of landslides in the subdistrict and also studies the linkage between soil moisture and landslides. The research uses geographical information system to overlay the maps of soil moisture and landslides and find correlations between both using Pearson’s correlation. The result is the reverse as landslides tends to occur at lower soil moisture."