Judul: Analysis Of SO2 Spread In Covid-19 Outbreak Season Using  Aura Satellite In Jabodetabek Area
Abstrak: Jabodetabek area is the area with the highest population in Indonesia. The high activity affects the air quality of the Jabodetabek Area, one of the reasons for the change in air quality is the large use of fossil energy that produces pollutants that are harmful to human health, one of which is SO2. Since it was announced on March 2, 2020, the number of cases of people exposed to Covid-19 continues to increase, prompting the Jabodetabek Regional government to implement a LargeScale Social Restrictions (PSBB) policy to reduce the increase in the number of Covid-19 cases. This study was conducted to determine the change in SO2 concentration before and during the implementation of the PSBB Satelit Aura policy starting from 2019 and 2020. The results of this study showed a decrease in SO2 concentration since January 2019 of 36,918 μg/m3 and at the time PSBB policy was applied SO2 concentrations moved constantly. This can happen due to the increase in the amount of public transportation before the PSBB policy was enacted and the decrease in community activity at the time the PSBB policy was implemented to reduce the use of fossil fuels that produce SO2 pollutants, Wilayah Jabodetabek merupakan wilayah dengan penduduk dengan Aktivitas tertinggi di Indonesia. Tingginya aktivitas tersebut mempengaruhi kualitas udara Wilayah Jabodetabek, salah satu sebab terjadinya perubahan kualitas udara adalah banyaknya penggunaan energi fosil yang menghasilkan polutan pencemar udara seperti SO2. Sejak diumumkan pada 2 Maret 2020, jumlah kasus masyarakat terpapar Covid-19 terus meningkat, hal tersebut mendorong pemerintah Wilayah Jabodetabek untuk melakukan kebijakan Pembatasan Sosial Berskala Besar (PSBB) untuk menekan kenaikan jumlah kasus Covid-19. Penelitian ini dilakukan untuk mengetahui perubahan konsentrasi SO2 sebelum dan pada saat pemberlakuan kebijakan PSBB Satelit Aura terhitung sejak tahun 2019 dan tahun 2020. Hasil penelitian ini menunjukkan adanya penurunan konsentrasi SO2 sejak Januari 2019 sebesar 36,918 µg/m3 dan pada saat kebijakan PSBB diberlakukan konsentrasi SO2 bergerak secara konstan. Hal ini dapat terjadi akibat kenaikan jumlah transportasi umum pada sebelum kebijakan PSBB diberlakukan dan berkurangnya aktivitas masyarakat pada saat kebjakan PSBB diberlakukan sehingga menurunkan penggunakan bahan bakar fosil yang menghasilkan polutan SO2.
Keyword: air pollution, covid-19, satellite aura

Judul: Analisis Sebaran Gas SO2 di Wilayah Jabodetabek Periode 2005-2013 Menggunakan Data Ozone Monitoring Instrument (OMI) Pada Satelit Aura
Abstrak: Perkembangan yang pesat di Indonesia ditandai dengan meningkatnya pertumbuhan ekonomi khususnya sektor industri. Akan tetapi, pertumbuhan perekonomian ini tidak diimbangi dengan penanggulangan terhadap masalah lingkungan yang diakibatkan oleh kegiatan sektor industri tersebut dalam memenuhi permintaan pasar. Salah satu wilayah yang memiliki aktifitas industri yang tinggi adalah Jabodetabek, dengan dampak dari kegiatan industri ini adalah pencemaran udara, salah satunya adalah pencemaran oleh gas SO2. Gas SO2 (sulfur dioksida), merupakan gas polutan yang banyak dihasilkan dari pembakaran bahan bakar fosil yang mengandung unsur belerang seperti minyak, gas, batubara, maupun kokas. Disamping SO2, pembakaran ini juga menghasilkan gas SO3, yang secara bersama-sama dengan gas SO2 lebih dikenal sebagai gas Sox. Software Giovanni merupakan salah satu software penginderaan jauh yang berfungsi untuk mengetahui bagaimana konsentrasi polutan di suatu wilayah. Dengan menggunakan data hasil pengolahan software Giovanni dengan Aura sebagai satelitnya, didapatkan trend konsentrasi SO2 yang mengalami penurunan yang tidak terlalu signifikan di wilayah Jabodetabek periode 2005-2013 dengan persamaan y = -5E-06x + 0.0028. Nilai terendah SO2 pada periode 2005-2013 di wilayah Jabodetabek terjadi pada bulan April 2013 dengan nilai -0.006 μg/m3 sedangkan yang tertinggi terjadi pada bulan Februari 2005 dengan nilai 0.015 μg/m3. Sedangkan untuk konsentrasi SO2 rata-rata pertiga bulan selama periode 2005-2013, nilai tertinggi pada bulan Januari-Maret yaitu senilai 0.005 μg/m3 sedangkan yang terendah adalah pada bulan April-Juni senilai 0.001 μg/m3. Distribusi sebaran gas SO2 tiap musimnya memiliki titik konsentrasi yang berbeda-beda dengan dominasi titik konsentrasi berada pada bagian utara wilayah Jabodetabek.
Keyword: SO2, Jabodetabek, Giovanni, Pencemaran Udara, Penginderaan Jauh

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