Judul: Model Permintaan dan Langkah Pengelolaan Ekowisata Mangrove di Desa Karangsong Indramayu
Abstrak: Mangrove di Desa Karangsong merupakan kawasan yang memiliki banyak potensi jasa-jasa lingkungan. Tujuan penelitian ini untuk menilai jasa wisata ekowisata mangrove Karangsong melalui model permintaan serta menduga faktor faktor yang mempengaruhi permintaan tersebut untuk kemudian merumuskan langkah pengelolaan yang sesuai untuk kawasan tersebut. Penelitian dilakukan pada bulan Juni sampai dengan Juli 2019. Analisis yang digunakan yaitu analisis Travel Cost Method, Willingness To Pay, dan Strength Weakness Opportunity Threats. Keunggulan yang dimiliki oleh obyek wisata yaitu keberadaan ekosistem mangrove yang masih alami dan terkelola dengan baik dan menjadikan daya tarik bagi kawasan ini. Persepsi menunjukkan bahwa lebih dari 50% wisatawan yang berkunjung menyatakan puas telah berwisata di kawasan ini. Faktor yang siginifikan mempengaruhi permintaan wisata yaitu pendapatan, waktu lama kunjungan dan anggaran rekreasi. Kesediaan membayar untuk menikmati jasa wisata rata-rata sebesar Rp. 22.264 per orang. Berdasarkan analisis SWOT menunjukan langkah-langkah pengelolaan yang direkomendasikan untuk dilakukan di ekowisata mangrove di Desa Karangsong adalah meningkatkan kerjasama dan upaya penggalian sumber dana untuk pemanfaatan pengelolaan, seperti kerjasama dengan lembaga pendidikan membuat wisata minat khusus berbasis edukasi, kedua mengoptimalkan dan melestarikan pemanfaatan ekowisata mangrove dan pantainya, ketiga didukung oleh pengelola dan pemerintah daerah membuat aturan resmi yang melibatkan dua pihak yang nantinya akan menguntungkan kedua belah pihak untuk pengembangan ekowisata mangrove yang lebih baik., Mangroves in Karangsong Village are an area that has many potential enviromental services. The purpose of this study is to assess tourism services Karangsong Mangrove ecotourism through a demand model and to guess the factors that influence the demand to then formulate appropriate management steps for the area. The research was conducted from June to July 2019. The analysis used was the Travel Cost Method, Willingness To Pay, and Strength Weakness Opportunity Threats analysis. The advantage of this area is the existence of a mangrove ecosystem that is still natural and well managed and makes it an attraction for this area. Perception shows that more than 50% of tourists who visit are satisfied having traveled in this area. Factors that significantly influence tourism demand are income, length of visit and recreation budget. Willingness to pay to enjoy tourism services an average of Rp. 22,264 per person. Based on the SWOT analysis, shows that the recommended management steps for mangrove ecotourism in Karangsong Village are increasing cooperation and efforts to extract funding sources for management utilization, such as collaboration with educational institutions to make special interest tours based on education, both optimizing and preserving the use of mangrove ecotourism and beaches, the third is supported by the manager and local government to make official regulations involving two parties which will later benefit both parties for the development of better mangrove ecotourism.
Keyword: Desa Karangsong, ekowisata, mangrove, SWOT, TCM, WTP

Judul: Strategy and Potential Analysis of Mangrove Ecotourism Management at The Karangantu Beach, Banten Bay
Abstrak: AMELIA PUTRI. Analisis Potensi dan Strategi Pengelolaan Ekowisata Mangrove di Pantai Karangantu, Teluk Banten. Dibimbing oleh FREDINAN YULIANDA dan SULISTIONO. Pesisir Teluk Banten merupakan salah satu wilayah pesisir yang aktif dibidang wisata bahari, sektor perikanan, dan industri lainnya salah satunya yaitu kawasan Karangantu, Teluk Banten. Potensi sumberdaya alam dan jasa ekosistem di Karangantu, Teluk Banten berpotensi untuk dapat dikembangkan sebagai kegiatan ekowisata. Salah satu kegiatan yang dapat dikembangkan yaitu pemanfaatan sumberdaya ekosistem mangrove untuk ekowisata. Penelitian ini bertujuan menghitung potensi dan merumuskan strategi pengelolaan ekosistem mangrove untuk pengembangan ekowisata. Penelitian ini dilaksanakan pada bulan Oktober 2020 dan bulan Febuari hingga Maret 2021 di kawasan wisata mangrove Karangantu Teluk Banten. Pengumpulan data dilakukan melalui observasi lapang dan wawancara pengisian kuesioner. Analisis data yang digunakan meliputi indeks kesesuaian wisata (IKW), daya dukung kawasan (DDK), dan Strenght Weakness Opprtunity Threat (SWOT) analysis. Hasil penelitian menunjukkan bahwa ekosistem mangrove Karangantu masuk ke dalam kategori sesuai untuk dijadikan sebagai kawasan ekowisata. Pengembangan ekowisata meliputi tracking mangrove dan berperahu, dengan daya dukung masing-masing 384 orang per hari daan 187 orang perhari untuk berperahu. Trip masing-masing kegiatan yaitu 4 trip dalam satu hari dengan lama waktu kegiatan 8 jam. Strategi pengembangan memprioritaskan tiga alternatif strategi meliputi rehabilitasi ekosistem mangrove, peningkatan kualitas SDM serta peningkatan sarana dan prasarana.
Keyword: ecotourism, carrying capacity, mangrove, strategy

Judul: Algorithm Construction of HLI Hash Function
Abstrak: Cryptography is a study of mathematical techniques related to aspects of information security regarding on confidentiality, data integrity, entity authentication, and data origin authentication. Data integrity is a service, which is associated with the conversion of data carried out by unauthorized parties. To maintain data integrity, one can use hash functions. An hash function is a computationally efficient function to map an arbitrary length bitstring to a fixed length bitstring called as hash value. The use of hash function in maintaining the information integrity and authentication is in digital signatures, virus protection, and software distribution. Illustration of the hash function in the integrity and authentication of information that is emailed as follow. The sender sends the information and hash value to the recipient. If the hash value of the information is equal to the hash value that is sent by the sender, then information has not been changed. Otherwise the information has been changed. An hash function has two properties, one way and collision resistance. An hash function is called one way if it is computationally infeasible to find any input such that when given any hash value . Meanwhile an hash function is called collision resistant if it is computationally infeasible to find any two inputs where such that . The purpose of this study is to construct a HLI hash function algorithm, to analyze the speed and security of the hash functions as a results of construction. Furthermore, it is to compare it with SWIFFT. Hash function is constructed based on the result of algebraic operations on modular polynomial ringwith . Modular polynomial ring noted as is a set of all polynomials of degree at most with coefficients in . can be represented as a set of integer vector of modulo in dimension . So, it is simple to implement in a computer. In vector operations, is lattice . Furthermore, alattice that is defined from certain polynomial ring is called ideal lattice. HLI hash function is consists of addition and multiplication algorithm in the ring. Addition algorithm consists of sumation operations of modulo and multiplication consists of multiplication operations of modulo . Generally, algorithm of HLI hash function consists of multiplication operations of modulo and addition operations of modulo . However, if the input is binary number then multiplication algorithm only consists of multiplication operation of modulo , so algorithm of HLI hash function consists of multiplication operations of modulo and addtion operations of modulo . An hash function is secured if it has two properties, i.e., one way and collision resistance. HLI hash function hash is one way, it is following the proof of Micciancio. It is has collision resistant because of polynomial is irreducible over and monic. Moreover, it is proved that for every unit vector , the vector is small vector. If the input of hash function is a binary number then HLI hash function only involves addition operations of modulo . So the time that used almost same with SWIFFT. The excellence of HLI hash function is the key size smaller than SWIFFT. This effect on
Keyword: hash function, modular polynomial ring, lattice