Judul: Analisis Faktor Dominan yang Berpengaruh Terhadap Kualitas Udara Kota Bogor Periode 2010 – 2016
Abstrak: Bogor adalah salah satu kota besar di Indonesia dengan peningkatan populasi 2.38% di tahun 2014. Jenis penyakit utama penduduk di Bogor adalah gangguan pernafasan yang diderita 86429 orang pada tahun 2015. Selain itu pada tahun 2016 Bogor termasuk dalam kategori kota macet kedua di dunia. Penelitian ini bertujuan menganalisis status kualitas udara dan faktor dominan yang mempengaruhi kualitas udara Kota Bogor periode 2010-2016. Analisis menggunakan data sekunder dan metode analisis regresi linier. Faktor yang dianalisis karena memengaruhi kualitas udara antara lain jumlah kendaraan bermotor, emisi industri, tata guna lahan, dan ruang terbuka hijau. Berdasarkan hasil yang didapat, kualitas udara Kota Bogor periode 2010-2016 masih tergolong aman karena berada di bawah baku mutu yang berlaku. Korelasi faktor dominan yang berpengaruh nyata terbesar terhadap kualitas udara Kota Bogor adalah luas pemukiman Kota Bogor dengan O3 sebesar 0.99 dan jumlah kendaraan bermotor serta luas taman Kota Bogor terhadap konsentrasi NO2 masing-masing sebesar 0.68 dan 0.79.
Keyword: emisi industri, kendaraan bermotor, luas taman, pemukiman

Judul: Surface Ozone Concentration and Relations to Ozone Precursor Concentration and Meteorological Factors Case Study: Bogor City.
Abstrak: Kualitas udara Kota Bogor dipengaruhi oleh aktivitas manusia. Hal ini menyebabkan peningkatan konsentrasi polutan di udara, diantaranya adalah O3 yang merupakan polutan sekunder. Penelitian ini bertujuan untuk menganalisis prekursor dan faktor meteorologi yang paling berpengaruh terhadap pembentukan O3 di atmosfer. Metode yang digunakan adalah analisis korelasi pearson. Periode waktu yang digunakan adalah curah hujan rendah dan curah hujan tinggi yang diwakili oleh bulan April 2022 dan Maret 2023. Prekursor ozon yang digunakan adalah NO, NO2, dan CO, sedangkan faktor meteorologi yang digunakan adalah suhu udara, kelembaban, kecepatan dan arah angin. Koefisien korelasi NO, NO2 dan CO pada curah hujan tinggi (r = -0,641; r = 0,122; r = -0,077) dan curah hujan rendah (r = -0,446; r = 0,167; r = -0,143). Koefisien korelasi suhu udara, kelembaban, dan kecepatan angin pada curah hujan tinggi (r = 0,631; r = -0,503; r = 0,283) dan curah hujan rendah (r = 0,599; r = -0,470; r = 0,223). NO merupakan prekursor O3 yang memiliki hubungan kuat pada curah hujan rendah (r = -0,446) dan curah hujan tinggi (r = -0,641). Suhu udara merupakan faktor meteorologi yang berhubungan kuat pada curah hujan rendah (r = 0,599) dan curah hujan tinggi (r = 0,631)., Bogor City's air quality is influenced by human activities. This causes an increase in the concentration of pollutants in the air, including O3 which is a secondary pollutant. This study aims to analyse the precursors and meteorological factors that have the most influence on the formation of O3 in the atmosphere. The method used was Pearson correlation analysis. The time period used is low rainfall and high rainfall represented by April 2022 and March 2023. The ozone precursors used are NO, NO2, and CO, while the meteorological factors used are air temperature, humidity, wind speed and direction. The correlation coefficients of NO, NO2 and CO at high rainfall (r = -0.641; r = 0.122; r = -0.077) and low rainfall (r = -0.446; r = 0.167; r = -0.143). The correlation coefficient of air temperature, humidity, and wind speed in high rainfall (r = 0.631; r = -0.503; r = 0.283) and low rainfall (r = 0.599; r = -0.470; r = 0.223). NO is a precursor of O3 which has a strong relation in low rainfall (r = -0.446) and high rainfall (r = -0.641). Air temperature is a meteorological factor that is strong relation with low rainfall (r = 0.599) and high rainfall (r = 0.631)., ,
Keyword: Atmosfer, Faktor Meteorologi, Ozon, Polutan, Prekursor

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