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"World Adventure Dives" is a luxurious photographic guide to the most exhilarating and fascinating diving experiences in the world. Dividing the globe into the main diving regions, it presents 35 amazing diving experiences chosen to represent the diversity and beauty of the marine environment and conjure up the excitement of underwater adventure. Focused on the activity and visual impact rather than the destination or technical aspects of the dive, the book includes experiences such as diving with great whites and underwater kelp forests in South Africa, the world's largest coral reef in Australia, the cool waters of New Zealand's Milford Sound and the Jellyfish Lake in Palau. It opens up a multitude of diving possibilities beyond the tropical coral reef diving featured in many books, although of course the best and most amazing aspects of reef diving are also included. Dive sites are accompanied by an underwater terrain maps, and feature spreads by experts provide background material on animal species and other themes, such as diving under ice or World War II aircraft. Boxed practical details, such as site location, depth, tour operators, seasonality and safety considerations, make this the ultimate divers' bible"

"Penelitian ini membahas peran ama dalam pariwisata kota Toba di prefektur Mie, Jepang. Ama merupakan wanita yang menyelam sampai kedalaman 5 mdash;25 meter ke dasar laut untuk mencari rumput laut dan awabi siput laut tanpa menggunakan tabung oksigen. Kota Toba bertransformasi menjadi kota turisme berkat ama. Tujuan penelitian adalah untuk memaparkan bagaimana peran ama sebagai penjaga tradisi dalam pariwisata kota Toba. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif. Hasil penelitian ini menunjukkan ama berperan sebagai penjaga tradisi yang mengupayakan konservasi laut dengan praktik ramah lingkungannya dan turut berkontribusi dalam pariwisata sebagai destinasi wisata budaya dan ikon kota Toba.

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This study discusses the role of ama in Toba City Tourism in Mie Prefecture, Japan. Ama is a woman who could do free diving until 5 mdash 25 meters into the bottom of the sea to picks seaweed and their prize catch, awabi abalone . Toba city has transformed into a tourism city because of ama. The purposes of this study is focuses on the explanation of ama rsquo s role as guardian of the tradition in Toba city tourism. This study uses descriptive qualitative method. The result of this study indicates that ama has involve as guardian of the tradition which seeks marine conservation with their sustainable practice while also contributes in Toba rsquo s tourism as cultural tourism destination and city icon."

"Serangan MitM ini memiliki dampak yang cukup besar dan dapat membuka jalan untuk serangan selanjutnya, seperti Phishing. Penelitian ini membahas tentang pendekatan metode hybrid deep learning yang dapat membantu pendeteksian serangan MitM secara efektif. Metode hybrid deep learning yang digunakan dalam penelitian ini adalah CNN-MLP dan CNN-LSTM, yaitu merupakan gabungan dari CNN, MLP, dan LSTM. Selain itu, dalam skenario eksperimennya menggunakan berbagai metode feature scaling (StandardScaler, MinMaxScaler, dan MaxAbsScaler) dan tanpa menggunakan metode feature scaling sebelum melakukan pemodelan, yang kemudian akan ditentukan metode hybrid deep learning yang terbaik untuk mendeteksi serangan MitM dengan baik. Dataset yang digunakan dalam penelitian ini yaitu Kitsune Network Attack Dataset (ARP MitM Ettercap). Hasil dari penelitian ini yaitu metode CNN-MLP dengan 10 epoch menggunakan MaxAbsScaler memiliki nilai accuracy tertinggi, yaitu 99.93%. Pada urutan kedua, CNN-MLP dengan 10 epoch menggunakan StandardScaler memiliki nilai accuracy sebesar 99.89%.

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Man in the Middle (MitM) has a sizeable impact because it could make the attackers will do another attacks, such as Phishing. This research is discussing about hybrid deep learning methods-approach on detecting MitM attacks effectively. We were used 2 (two) combinations of the Deep Learning methods (CNN, MLP, and LSTM), which are CNN-MLP and CNN-LSTM. Besides that, in the experiment scenarios, we also used various Feature Scaling methods (StandardScaler, MinMaxScaler, and MaxAbsScaler) and without using any Feature Scaling methods before building the models and will determine the better hybrid Deep Learning methods for detecting MitM attack. Kitsune Network Attack Dataset (ARP MitM Ettercap) is the dataset used in this study. The results of this research proves that CNN-MLP that with 10 epoch using MaxAbsScaler has the highest accuracy rate of 99.93%. In second place, CNN-MLP with 10 epoch using StandardScaler has the accuracy rate of 99.89%."

"Pulau Pari adalah gugusan dari Kepulauan Seribu yang terletak diantara 5⁰ 50' LS-05⁰ 52' LS dan 106⁰ 34' BT-106⁰ 38' BT. Pulau Pari yang memiliki potensi akan wisata, sehingga perlu adanya pengelolaan mengenai hal tersebut. Berdasarkan hal tersebut, maka perlu adanya analisis mengenai terumbu karang, daya dukung lingkungan, perilaku wisatawan, dan usulan mengenai skenario pengelolaan wisata selam. Pendekatan riset yang dilakukan pada penelitian ini menggunakan mix method (kuantitatif dan kualitatif). Analisis yang digunakan pada riset ini adalah kondisi terumbu karang, data kelimpahan ikan karang, kesesuaian lahan perairan, daya dukung kawasan, dan analisis perilaku wisatawan. Hasil kondisi terumbu karang di Pulau Pari pada Stasiun 1 dan 4 adalah kategori sangat buruk, Stasiun 2 kategori baik, dan Stasiun 3,5, dan 6 termasuk dalam kategori buruk. Hasil pada kesesuian wisata pada perairan Pulau Pari termasuk dalam kategori S2 dengan pengertian termasuk dalam kategori sesuai. Pada kegiatan wisata selam, maka akan sangat terkait dengan wisatawan. Pada analisis perilaku wisatawan sebanyak 50 responden, mendapatkan hasil bahwa 58% wisatawan pernah melakukan perilaku destruktif. Hasil Analisis menunjukkan bahwa wisata selam sendiri menyumbang 7,26% kerusakan terumbu karang. Daya dukung wisata berfungsi untuk menetapkan jumlah wisatawan, dimana didapatkan hasil 22 orang/hari dan usulan dibagi menjadi 3 zona pemanfaatan yaitu : zona inti, zona penyangga, dan zona pemanfaatan.

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Pari Island is a cluster of the Thousand Islands, located between 5⁰ 50' LS-05⁰ 52' LS dan 106⁰ 34' BT-106⁰ 38' BT. Pari Island which has the potential to be tourist, so it needs the management about it. Based on this, the need for analysis of the coral reefs, the carrying capacity of the environment, tourist behavior, and proposals regarding the dive tourism management scenarios. Approach to research carried out in this study using a mixed method (quantitative and qualitative). The analysis used in this research is the condition of coral reefs, reef fish abundance of data, land suitability waters, the carrying capacity of the region, and the analysis of tourist behavior. The result of the condition of coral reefs in Pulau Pari at Station 1 and 4 is a very bad category, Station 2 good category, Station 3,5, 6 stations included in the category of bad. The yield on the suitability travel in Pari Island waters included in the S2 category with the understanding included in the appropriate category. At the dive tourism activities, it will be associated with tourists. In rating the behavior analysis of 50 respondents, get the result that 58% of tourists ever do destructive behavior. Analysis showed that the dive tourism alone accounts for 7.26% of coral reef damage. Tourism carrying capacity is used to set the number of tourists, which showed 22 people/day and the proposed utilization are divided into 3 zones, namely: core zone, buffer zone, and the zone of utilization. At the dive tourism activities, it will be associated with tourists. In rating the behavior analysis of 50 respondents, get the result that 58% of tourists ever do destructive behavior. Analysis showed that the dive tourism alone accounts for 7.26% of coral reef damage. Tourism carrying capacity is used to set the number of tourists, which showed 22 people/day and the proposed utilization are divided into 3 zones, namely: core zone, buffer zone, and the zone of utilization. At the dive tourism activities, it will be associated with tourists. In rating the behavior analysis of 50 respondents, get the result that 58% of tourists ever do destructive behavior. Analysis showed that the dive tourism alone accounts for 7.26% of coral reef damage. Tourism carrying capacity is used to set the number of tourists, which showed 22 people/day and the proposed utilization are divided into 3 zones, namely: core zone, buffer zone, and the zone of utilization."