Judul: Analysis of Community Structure Association Biota in the Mangrove Ecosystem Rehabilitation Area in Tangerang Regency
Abstrak: Wilayah pesisir Kabupaten Tangerang memiliki kawasan mangrove yang sedang dalam proses rehabilitasi. Makrozoobentos merupakan biota asosiasi pada kawasan ekosistem mangrove. Penelitian ini bertujuan untuk menganalisis sebaran makrozoobentos dan komponen utama yang mempengaruhi keberadaan makrozoobentos pada ekosistem mangrove di pesisir Kabupaten Tangerang. Penelitian dilaksanakan pada bulan Februari hingga Maret 2022 di tiga desa, yaitu Desa Ketapang, Desa Patramanggala, dan Desa Tanjung Pasir, Kabupaten Tangerang. Analisis data terdiri atas penentuan stasiun pengambilan contoh, pengolahan data vegetasi mangrove, pengolahan data makrozoobentos, dan penutupan kanopi menggunakan aplikasi ImageJ. Hasil analisis komponen utama menunjukkan sebaran makrozoobentos di pesisir Kabupaten Tangerang di tiga desa dipengaruhi oleh suhu tanah, pH air, penutupan mangrove, tipe substrat, dan jenis mangrove. Komposisi jenis makrozoobentos di Desa Ketapang dan Tanjung Pasir didominasi oleh kelas Gastropoda, serta di Desa Patramanggala didominasi kelas Bivalvia., The coastal area of Tangerang Regency has a mangrove area that is in the process of being rehabilitated. Macrozoobenthos is association biota in the mangrove ecosystem area. This study aims to analyze the distribution of macrozoobenthos and the main components that affect the presence of macrozoobenthos in the mangrove ecosystem on the coast of Tangerang Regency. The research was conducted from February until March 2022 in three villages, Ketapang Village, Patramangala Village, and Tanjung Pasir Village, Tangerang Regency. Data analysis consisted of determining sampling stations, processing mangrove vegetation data, processing macrozoobenthos data, and canopy closure using the ImageJ application. The results of the main component analysis showed that the distribution of macrozoobenthos on the coast of Tangerang Regency in three villages was influenced by soil temperature, water pH, mangrove cover, substrate type, and mangrove species. The composition of the macrozoobenthos species in the Ketapang and Tanjung Pasir villages was dominated by the Gastropod class, and in Patramanggala Village, it was dominated by the Bivalvia class.
Keyword: makrozoobentos, mangrove, pesisir, coastal, macrozoobenthos, mangrove

Judul: Macrozoobenthic Community Structure in the Mangrove Aquatic Ecosystem of Pejarakan Village, Bali
Abstrak: Struktur komunitas makrozoobentos yang menurun biasanya menjadi indikator adanya gangguan ekosistem di perairan tersebut, hal ini disebabkan makrozoobentos mobilitas rendah serta siklus hidup relatif panjang, sehingga mampu merespon dengan segera gangguan di lingkungan secara kontinyu. Penelitian ini bertujuan menganalisis struktur komunitas makrozoobentos, yang mencakup komposisi jenis, kepadatan, indeks keanekaragaman, indeks keseragaman, dan indeks dominansi pada lingkungan perairan mangrove dan sekitarnya di Desa Pejarakan, Bali. Penelitian ini dilakukan pada bulan September 2022, Januari 2023, September 2023 dan Januari 2024 dengan enam titik stasiun pengamatan, yang mewakili inlet tambak, outlet tambak dan area mangrove. Sampel bentos diambil menggunakan Van Veen Grab serta dilakukan pengukuran kualitas air secara insitu. Data dianalisis menggunakan struktur komunitas, PCA, indeks similaritas Bray-Curtis, serta AMBI dan M-AMBI. Makrozoobentos di lokasi penelitian tersusun atas lima filum. Kepadatan tertinggi pada Januari 2024 yaitu 289 ind/m2. Indeks keanekaragaman (H’) rendah-sedang (1,99 3,17), keseragaman (E) tinggi (0,69-0,96), dominanasi (C) rendah-sedang (0,13-0,38). Analisis PCA menunjukkan persebaran makrozoobentos dipengaruhi oleh parameter kekeruhan dan TSS. Analisis AMBI menunjukkan dominan makrozoobentos bersifat umum dengan nilai AMBI berkisar 0,62-1,29., Decreased macrozoobenthic community structure is usually an indicator of ecosystem disturbance in these waters, this is due to macrozoobenthic low mobility and a relatively longlife cycle, so that it is able to respond immediately to continuous disturbances in the environment. This research aims to analyze macrozoobenthic community structure, which includes genera composition, density, diversity index, evenness index, and dominance index in the mangrove ecosystem waters and its surroundings in Pejarakan Village, Bali. This research was conducted in September 2022, January 2023, September 2023 and January 2024 with six observation stations representing shrimp pond inlet, outlet, and mangrove area. Benthos samples were taken using a VanVeen Grab and water quality measurements were carried out in-situ. Data were analyzed using community structure, PCA, Bray-Curtis similarity index, and AMBI and M-AMBI. The macrozoobenthos at the research location is composed of five phyla. The highest density will be in January 2024, (289 ind/m2). Diversity index (H') is low-medium (1.99-3.17), uniformity (E) is high (0,69-0,96), dominance (C) is low medium (0,13-0,38). PCA analysis shows that the distribution of macrozoobenthos is influenced by turbidity and TSS parameters. AMBI analysis shows that the dominant macrozoobenthos is general with AMBI values ranging from 0,62-1,29.
Keyword: struktur komunitas, makrozoobentos, Desa Pejarakan, community structure, macrozoobenthos, Pejarakan Village

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