Judul: Potensi kebakaran hutan di KPH Kuningan Perum Perhutani Jawa Barat
Abstrak: Potensi kebakaran hutan dianalisis berdasarkan kegiatan pengendalian kebakaran hutan, sumber penyebab terjadinya kebakaran hutan yaitu aktivitas manusia dan serta curah hujan. Tujuan penelitian adalah untuk menganalisis upaya pengendalian kebakaran hutan, mengkaji sumber penyebab terjadinya kebakaran hutan dan menganalisis tingkat kerawanan terjadinya kebakaran hutan berdasarkan curah hujan 5 tahun terakhir di KPH Kuningan. Hasil analisis data menunjukkan tingkat kerawanan kebakaran di KPH Kuningan berdasarkan data curah hujan pada 5 tahun terakhir (2010-2014), yaitu 2 503.8 mm termasuk tidak rawan terhadap kebakaran hutan. Potensi kebakaran hutan di KPH Kuningan karena kegiatan pembersihan lahan oleh masyarakat tergolong rendah sebab masyarakat telah menerapkan sistem pembakaran terkendali dan akibat konflik sosial cukup tinggi akibat hubungan antara masyarakat dengan KPH Kuningan kurang terjalin dengan baik. Kurang diperhatikannya keberadaan papan peringatan dan rendahnya informasi mengenai penyuluhan kepada masyarakat merupakan bentuk belum optimalnya upaya pengendalian.
Keyword: forest fire controlling, potential forest fire, human activity, rainfall, KPH Kuningan

Judul: Potensi Kebakaran Hutan di KPH Surakarta, Jawa Tengah
Abstrak: Potensi kebakaran hutan di KPH Surakarta dapat dikaji berdasarkan sumber penyebab terjadinya kebakaran, upaya pengendalian yang dilakukan dan curah hujan. Penelitian ini bertujuan untuk menganalisis penyebab terjadinya kebakaran hutan dan mengkaji upaya pengendalian yang dilakukan di KPH Surakarta. Data yang digunakan terdiri atas data primer dan data sekunder. Rata-rata curah hujan dalam kurun waktu 5 tahun terakhir yaitu 1 399.68 mm/tahun dengan total luas kebakaran 278.9 Ha dan total kerugian mencapai RP 2 046 900 000. Potensi kebakaran hutan di KPH Surakarta akibat pembersihan lahan tergolong rendah, sedangkan akibat konflik dapat dikarenakan adanya aktivitas pembakaraan oleh pelaku tertentu dengan motif kepentingan masing-masing dan pemenuhan kebutuhan. Optimalisasi upaya pengendalian kebakaran hutan berjalan dengan baik. Hal ini dikarenakan terjalin kerjasama antar masyarakat dalam upaya pengendalian serta kesadaran dan partisipasi masyarakat yang tinggi dalam menjaga kelestarian dan keamanan hutan.
Keyword: Kebakaran, KPH Surakarta, partisipasi masyarakat, pengendalian, potensi

Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm