Judul: Water Pollution Index in Banten Bay Waters Based on Several Water Physical Parameters
Abstrak: Aktivitas antropogenik di sekitar kawasan perairan Teluk Banten dapat membawa limbah tercemar ke dalam perairan. Sehingga dapat memengaruhi kualitas perairan. Penelitian status mutu suatu perairan penting dilakukan untuk menduga kondisi pencemaran suatu perairan. Penelitian ini bertujuan menentukan tingkat pencemaran perairan Teluk Banten melalui pendekatan beberapa parameter fisika perairan. Data yang digunakan ialah data primer dan sekunder tahun 2019- 2022 dari enam lokasi penelitian. Parameter yang dianalisis antara lain suhu, kecerahan, kekeruhan, dan padatan tersuspensi (TSS). Hasil analisis yang diperoleh dibandingkan dengan baku mutu berdasarkan PP No 22 Tahun 2021. Berdasarkan hasil pengamatan suhu (25.1-39ᵒC), kecerahan (0.05-10 m), kekeruhan (0.24-380 NTU), TSS (0.4-742 mg/l), menunjukan bahwa sebagian parameter masih tergolong dibawah baku mutu beberapa parameter kurang sesuai dengan baku mutu perairan (antara lain suhu, kecerahan, kekeruhan, TSS). Berdasarkan hasil perhitungan indeks pencemaran perairan Teluk Banten memiliki indeks pencemaran kategori tercemar ringan (1.315-4.490)., Anthropogenic activities around the waters of Banten Bay can bring polluted waste into the waters. So that it can affect water quality. Research on the quality status of a waters is important to do to predict the pollution conditions of a waters. This study aims to determine the pollution level of Banten Bay waters through the approach of several water physics parameters. The data used are primary and secondary data for 2019-2022 from six research locations. Parameters analyzed included temperature, brightness, turbidity, and suspended solids (TSS). The results of the analysis obtained were compared with the quality standards based on PP No. 22 of 2021. Based on the results of observations of temperature (25.1-39ᵒC), brightness (0.05-10 m), turbidity (0.24-380 NTU), TSS (0.4-742 mg/l) , shows that some of the parameters are still below the quality standards, some parameters are not in accordance with the water quality standards (among others temperature, brightness, turbidity, TSS). Based on the results of the calculation of the water pollution index, Banten Bay has a pollution index of the lightly polluted category (1.315-4.490).
Keyword: baku mutu, indeks pencemaran, kualitas air, parameter fisika, teluk banten

Judul: Tingkat Pencemaran di Perairan Pantai Bojonegara, Teluk Banten Berdasarkan Parameter Fisika-Kimia Perairan
Abstrak: Kondisi kualitas air yang baik di suatu perairan sangat penting untuk mendukung keberlangsungan hidup organisme yang hidup di dalamnya. Penentuan status mutu suatu perairan penting dilakukan dalam menduga kondisi pencemaran suatu perairan. Penelitian ini bertujuan mengkaji status mutu air dan indeks pencemaran perairan pantai Bojonegara, Teluk Banten. Pengambilan sampel dilakukan pada bulan Januari-Februari dan bulan Agustus-Oktober 2020 dari enam stasiun penelitian. Parameter yang dianalisis antara lain suhu, salinitas, kecerahan, kekeruhan, TSS, pH, DO, nitrat, dan fosfat total. Hasil analisis yang diperoleh dibandingkan baku mutu berdasarkan PP No 22 Tahun 2021. Berdasarkan hasil pengamatan suhu (28.4-37.5oC), salinitas (0-38 ppt), kecerahan (0.05-4.7 m), kekeruhan (1.1-380 mg/l), TSS (0.7-415 mg/l), pH (6.63-8.2), DO (3.3-7.5 mg/l), nitrat (0.001-0.745 mg/l), dan fosfat total (0.001-0.377 mg/l), menunjukan bahwa sebagian parameter masih tergolong dibawah baku mutu, beberapa parameter kurang sesuai dengan baku mutu perairan (antara lain TSS, kekeruhan, nitrat, dan fosfat total). Berdasarkan hasil perhitungan indeks pencemaran perairan pantai Bojonegara memiliki indeks pencemaran kategori tercemar ringan hingga sedang (2.988-7.561)., Good water quality conditions in marine environment are important to support the survival of living organism, and hence, needed to estimate the status of water pollution. Determination of water quality status is needed to do in estimating the condition of water pollution. This study aims to examine the status of the water quality and water pollution index of Bojonegara coastal waters, Banten Bay. Sampling was carried out in January February and August-October 2020 at six stations. Parameters analyzed included temperature, salinity, transparency, turbidity, TSS, pH, DO, nitrate, and total phosphate. The results were compared with the water quality standards based on Gov. Reg. No 22 of 2021. Based on the observations of temperature (28.4-37.5oC), salinity (0-38 ppt), transparency (0.05-4.7 m), turbidity (1.1 -380 mg/l), TSS ( 0.7-415 mg/l), pH (6.63-8.2), DO (3.3-7.5 mg/l), nitrate (0.001-0.745 mg/l), and total phosphate (0.001 - 0.377 mg/l), indicating that some parameters were still below the quality standard and some parameters were not in accordance with the water quality standard (including TSS, turbidity, nitrate, and total phosphate). Based on the results of the calculation of the pollution index, Bojonegara coastal waters were classified into the light to moderately polluted category (2.988-7.561).
Keyword: Baku mutu, Bojonegara, indeks pencemaran, kualitas air

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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