Judul: Studi Persepsi Ibu Balita dan Kader Posyandu di Kecamatan Cimaung Kabupaten Bandung
Abstrak: Penelitian ini bertujuan untuk menganalisis persepsi ibu balita(pengguna posyandu) dan kader posyandu terhadap pelayanan dan penyelenggaraan kegiatan di posyandu kecamatan Cimaung, kabupaten Bandung. Desain penelitian yang digunakan berupa studi cross sectional. Data primer dikumpulkan dari 57 pengguna posyandu ibu balita dan 15 kader posyandu melalui kuesioner. Penelitian ini dilakukan pada 15 posyandu di empat desa binaan Puskesmas Cimaung pada bulan April-Mei 2018. Hasil penelitian menunjukkan kader berpendapat bahwa kinerja posyandu dalam aspek input dan output dikategorikan sedang, sedangkan aspek proses dikategorikan baik. Kader berpendapat bahwa komponen kinerja posyandu yang masih kurang yakni ketersediaan poster blanko SKDN, dan struktur organisasi. Motivasi ibu (pengguna) datang ke posyandu yakni agar anak sehat, berat badan anak terpantau, mendapatkan imunisasi/kapsul vitamin A, dan mendapatkan pengetahuan gizi/kesehatan. Ibu memiliki persepsi baik terhadap kinerja posyandu, namun ada 3 program yang perlu ditingkatkan yakni penyuluhan, pemberian makanan tambahan (PMT), dan tablet besi. Pengguna dan kader posyandu tergolong sedang dalam pengetahuan gizi dan perilaku gizi, serta baik dalam sikap gizi. Hasil uji korelasi Spearman menunjukkan terdapat hubungan yang signifikan antara motivasi kader dengan output (p<0.05), namun tidak menunjukkan ada hubungan yang signifikan pada variabel lain.
Keyword: kader posyandu, kinerja posyandu, pengguna posyandu, persepsi

Judul: Perilaku Ibu Balita dalam Penggunaan Pos Pelayanan Terpadu (Studi Kasus pada Posyandu Teladan di Desa Banjarsari, Kecamatan Ciawai, Kabupaten Bogor, Propinsi Jawa Barat)
Abstrak: Tujuan penelitian ini adalah (1) Mengetahui tingkat pengetahuan, sikap dan tingkat keterampilan ibu balita terhadap program posyandu, (2) Menelaah hubungan antara pengetahuan, sikap, dan keterampilan ibu balita terhadap program posyandu, dan (3) Menelaah hubungan antara aspek sosial ekonomi keluarga, pengetahuan, sikap, dan keterampilan ibu balita dengan penggunaan posyandu.
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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