Judul: Resilience of Households Traders in Turan Amis DAM Tourism Village in Facing the Impact of the Covid-19 Pandemic
Abstrak: Pandemi Covid-19 mengakibatkan penurunan pengunjung dan pendapatan di sektor pariwisata di Desa Wisata DAM Turan Amis. Penelitian ini bertujuan untuk menganalisis hubungan antara modal pembentuk resiliensi masyarakat dengan resiliensi. Penelitian menggunakan metode sequential exploratory design dengan melibatkan 35 pedagang sebagai responden. Hasil dari penelitian yaitu dampak pandemi Covid-19 cukup memengaruhi perubahan tingkat pendapatan responden karena tidak merubah mata pencaharian ke sektor pertanian. Modal pembentuk resiliensi berupa modal alam dimanfaatkan dengan menanam lombok, tomat, dan sayuran. Lalu, modal sosial connectednes yang dibentuk berupa kepercayaan dan keterlibatan. Keterampilan yang paling pandai yaitu penentuan harga dan promosi, kemudian modal keuangan yang paling banyak dimiliki yaitu tabungan. Resiliensi rumah tangga berupa resiliensi sebagai stabilitas terhadap bencana. Responden penelitian sudah tidak khawatir berinteraksi dan mendapat bantuan tenaga serta keuangan dari anggota keluarganya. Dampak pandemi Covid-19, tingkat pemanfaatan lahan, connectedness, dan jenis aset yang dimiliki mempunyai korelasi dengan resiliensi secara signifikan., The Covid-19 pandemic has resulted in a decrease in visitors and income in the tourism sector in the DAM Turan Amis Tourism Village. This research aims to analyze the relationship between capital that forms community resilience and resilience. Research uses methods sequential exploratory design involving 35 traders as respondents. The results of the research were that the impact of the Covid 19 pandemic had quite an impact on changes in respondents' income levels because it did not change their livelihoods to the agricultural sector. Resilience-forming capital in the form of natural capital is utilized by planting chili peppers, tomatoes and vegetables. Then, social capital connectednes formed in the form of trust and involvement. The most clever skills are pricing and promotion, then the financial capital that is most owned is savings. Household resilience takes the form of resilience as stability against disasters. Research respondents were no longer worried about interacting and received physical and financial assistance from their family members. The impact of the Covid-19 pandemic, the level of land use, connectedness, and the type of assets owned has a significant correlation with resilience.
Keyword: Household resilience, Impact of the Covid-19 pandemic, Resilience forming capital

Judul: Social Capital, Collective Action, and Resilience of Small Trader Communities in Post Covid-19 Pandemic Tourist Areas
Abstrak: Pandemi Covid-19 telah melanda dunia yang membuat perubahan besar di berbagai sektor, tanpa terkecuali sektor pariwisata teritama pedagang kecil yang ada di dalamnya. Pada masa pascapandemi covid-19 seperti ini para pedagang kecil di daerah wisata perlu beradaptasi untuk dapat mempertahankan usahanya. Maka dari itu, tujuan penelitian ini dilakukan untuk melihat peranan modal sosial dan aksi kolektif dalam resiliensi komunitas pedagang kecil di daerah wisata pada masa pascapandemi covid-19. Penelitian ini dilakukan di Taman Wisata Alam Gunung Pancar dengan mengguunakan metode survey melalui kuesioner dan wawancara mendalam terhadap 40 responden secara sensus. Hasil penelitian menunjukkan modal sosial dan aksi kolektif cukup berperan dalam resiliensi komunitas pedagang kecil di daerah wisata. Dengan modal sosial yang pedagang kecil miliki, mereka dapat melakukan aksi kolektif meskipun masih terbatas pada aksi yang berkaitan dengan berdagang saja. Selain itu, saat ini mayoritas pedagang kecil belum dapat resilien dalam hal perekenomian karena keterbatasan modal yang mereka miliki dan sepi nya pengunjung yang datang ke lokasi wisata. Hal tersebut yang membuat mereka belum dapat menciptakan kegiatan ekonomi baru yang dapat meningkatkan perekonomian mereka., The Covid-19 pandemic has hit the world which has made major changes in various sectors, without exception the tourism sector, especially the small traders in it. In the post-Covid-19 pandemic period like this, small traders in tourist areas need to adapt to be able to maintain their business. Therefore, the purpose of this research was conducted to see the role of social capital and collective action in the resilience of small trader communities in tourist areas during the post-Covid-19 pandemic. This research was conducted in Gunung Pancar Nature Tourism Park using a survey method through questionnaires and in-depth interviews with 40 respondents by census. The results showed that social capital and collective action play a role in the resilience of the small trader community in tourist areas. With the social capital that small traders have, they can take collective action even though it is still limited to actions related to trading only. In addition, currently the majority of small traders have not been able to be resilient in terms of the economy due to the limited capital they have and the lack of visitors who come to tourist sites. This makes them unable to create new economic activities that can improve their economy.
Keyword: collective action, community resilience, small traders, social capital

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