Judul: Analisis Tingkat Pencemaran Udara berdasarkan Musim di Kota Tangerang.
Abstrak: Pencemaran udara dikenal sebagai masalah lingkungan yang terasosiasi dengan wilayah perkotaan karena semakin meningkatnya pertumbuhan penduduk dan penggunaan bahan bakar yang digunakan untuk transportasi dan industri. Kota Tangerang adalah salah satu kota metropolitan di Provinsi Banten yang padat penduduk. Tujuan penelitian ini untuk menganalisis tingkat pencemaran udara di Kota Tangerang dengan menghitung nilai Indeks Standar Pencemaran Udara (ISPU) dari data pengukuran kualitas udara, membandingkan ke dalam wilayah peruntukan, dibandingkan saat musim kemarau dan musim hujan, serta uji korelasi unsur-unsur meteorologi dengan nilai ISPU. Data yang digunakan berupa data sekunder, yaitu data konsentrasi udara ambien dan data meteorologi dari tahun 2013 sampai 2016. Data konsentrasi udara ambien terdiri dari NO2, SO2, O3, CO, dan PM10. Data meteorologi terdiri dari suhu rata-rata, kelembaban rata-rata dan kecepatan angin rata-rata. Hasil ISPU dipetakan menggunakan Geographic Information System (GIS). Uji korelasi menggunakan Minitab. Hasil penelitian ini menunujukkan ISPU di Kota Tangerang dari tahun 2013 sampai 2016 berada pada tingkat pencemaran udara yang relatif sedang. Parameter konsentrasi pencemar tertinggi didominasi oleh PM10. ISPU tertinggi berada di wilayah industri. Hasil perbandingan rata-rata ISPU pada saat musim hujan lebih tinggi daripada musim kemarau. Hasil korelasi data meteorologi dengan nilai ISPU bernilai positif pada parameter kelembaban rata-rata dan bernilai negatif pada parameter suhu rata-rata dan kecepatan angin rata-rata. Nilai korelasi tertinggi yaitu pada parameter kelembaban rata-rata.
Keyword: ISPU, Kota Tangerang, musim hujan, musim kemarau, pencemaran udara

Judul: Sebaran Partikulat (PM10) pada Musim Kemarau di Kabupaten Tangerang dan Sekitarnya
Abstrak: Air pollution originating from anthropogenic activities nowadays be increased along with industry development and transportation sector. Tangerang District and its surrounding areas are a large industrial area in Indonesia, so people in the region have a high potential for exposure to air pollutant. Particulate is one of the pollutions. Monitoring the pollutant dispersion is necessary to be conducted as a consideration to take a policy related to environmental issues. However, pollutant monitoring constrained by cost and availability of tools in the field, so the model is used to make pollutant monitoring easier. This study aims to determine the direction of PM10 pollutant dispersion in Tangerang and the surrounding area based the dominant wind direction in the dry season. The method in this study uses Chimere model that can generate daily air pollution forecast. Result shows high PM10 concentration around Tangerang City. High number of industries and vehicles and also the dominant winds eastward in the dry season led to a concentration of PM10 in Tangerang City until South Tangerang City higher than around, namely reached 26-28 μg m-3. Correlation value between wind speed and particulate concentration is -0.46 indicated that the wind speed has considerable influence the level of PM10 concentrations.
Keyword: Bogor Agricultural University (IPB), Pollutant dispersion, Tangerang District, PM10

Judul: The Exploration of Discrete Logarithm over Finite Field GF(3m)
Abstrak: The security of many public~key algorithms is based on the problem of finding discrete logarithms. The generalized discrete logarithm problem is the following: given a finite cyclic group G of order n, a generator a of G, and an element fl E G, find the integer x, 0 ~ x ~ n - 1, such that 0: = fl. Algorithm for discrete logarithm problem focused on Menezes et al. (1997) that consist of exhaustive search algorithm, the baby-step giant-step algorithm, Pollard's rho algorithm, Pohlig-Hellman algorithm, and index-calculus algorithm. These algorithms are explorated to be used in discrete logarithm problem over finite field GF(3m ). The exploration also produces some algorithms, i.e. naif negative algorithm, baby-step mother-step algorithm, baby-step mother free-step algorithm, and baby-step free-step algorithm. All algorithms implemented using Maple 11. The Pohlig-Hellman and baby-step giant-step algorithms are efficient enough to be used in discrete logarithm problem over finite field GF(3m ) for m < 20.
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