Judul: Work Motivation and Work-Family Conflict of Formal Working Mothers During the Covid-19 Pandemic
Abstrak: Pandemi Covid-19 menyebabkan adanya kebijakan bekerja dari rumah. Bekerja dari rumah memudarkan batasan antara urusan keluarga dan pekerjaan, serta dapat menurunkan motivasi kerja. Penelitian ini secara umum bertujuan untuk menganalisis pengaruh motivasi kerja terhadap konflik kerja-keluarga ibu pekerja formal selama pandemi Covid-19. Penelitian ini menggunakan desain penelitian cross sectional. Pemilihan lokasi penelitian dipilih secara purposive, yaitu DKI Jakarta dan Jawa Barat. Data diperoleh dengan cara self-administered menggunakan alat bantu kuesioner dalam bentuk link google form yang disebarkan secara online. Teknik pengambilan sampel dilakukan dengan voluntary sampling. Responden dalam penelitian ini adalah 101 ibu pekerja formal dengan keluarga utuh yang memiliki anak usia sekolah (6-12 tahun). Hasil penelitian menunjukkan bahwa ada hubungan positif signifikan antara lama pendidikan dengan motivasi ekstrinsik. Usia istri, usia anak, lama menikah, dan pengalaman kerja memiliki hubungan negatif signifikan dengan konflik kerja-keluarga. Hasil penelitian juga menunjukkan bahwa motivasi intrinsik memiliki hubungan dan pengaruh negatif dan signifikan terhadap konflik kerja-keluarga., The Covid-19 pandemic has led to a policy of working from home. Working from home blurs the line between family and work, and can reduce work motivation. This study generally aims to analyze the effect of work motivation on work-family conflicts of formal working mothers during the Covid-19 pandemic. This study used a cross sectional research design. The research location was chosen purposively, namely DKI Jakarta and West Java. The data was obtained through self-administered using a questionnaire tool in the form of a google form link which was distributed online. The sampling technique was done by voluntary sampling. Respondents in this study were 101 formal working mothers with intact families who have school-age children (6-12 years). The results showed that there was a significant positive relationship between length of education and extrinsic motivation. Age of wife, age of children, length of marriage, and work experience have a significant negative relationship with work-family conflict. The results also show that intrinsic motivation has a negative and significant relationship and influence on work-family conflict.
Keyword: Covid-19 pandemic, Formal workers, Work-family conflict, Work from home, Work motivation

Judul: The Effect of Work-Family Conflict, Communication pattern, Social Support, and Stress Levels toward Family Quality of Life During The Covid-19 Pandemic
Abstrak: Staying at home during the pandemic COVID-19 should be an opportunity to improve the family quality of life (QoL). Positively, gathering with family at home provides an opportunity to get to know family members in-depth, but also prone to causing various frictions due to the boundary between office work, housework, and family becoming invisible. This study aims to analyze the effect of work-family conflict, communication pattern, social support, and stress levels on the family quality of life before and during the COVID-19 pandemic. The design of this study was a retrospective and cross-sectional study. The study was conducted on nuclear families with working mothers in Jabodetabek and involved 169 working mothers as respondents using voluntary sampling. This study used descriptive analysis, paired two-group analysis, and path analysis. As a result, work-family conflict, communication pattern, social support, stress levels, and quality of life increased during the pandemic. The results of the path analysis found that work-family conflict, communication pattern, and social support had a significant direct effect on family quality of life during a pandemic. The quality of life can be improved by increasing open communication pattern, more social support from husband and extended families, and reducing work-family conflicts., Tetap di rumah selama pandemi COVID-19 seharusnya menjadi kesempatan yang baik untuk meningkatkan kualitas hidup bersama keluarga. Secara positif, waktu berkumpul bersama keluarga di rumah memberikan kesempatan untuk lebih mengenal antaranggota keluarga secara mendalam, di sisi lain juga rentan menimbulkan berbagai gesekan akibat batas antara pekerjaan kantor dan pekerjaan rumah menjadi tidak terlihat. Tujuan penelitian ini adalah untuk menganalisis pengaruh konflik pekerjaan-keluarga, pola komunikasi, dukungan sosial, dan tingkat stres terhadap kualitas hidup keluarga sebelum dan saat pandemi covid-19. Desain penelitian ini adalah penelitian retrospektif dan cross-sectional. Penelitian dilakukan pada keluarga inti dengan ibu bekerja di Jabodetabek dengan 169 ibu pekerja sebagai responden secara voluntary sampling. Penelitian ini menggunakan analisis deskriptif, analisis dua kelompok berpasangan, dan analisis jalur. Hasilnya, konflik kerja-keluarga, pola komunikasi, dukungan sosial, tingkat stres dan kualitas hidup meningkat saat pandemi. Hasil analisis jalur menemukan bahwa konflik kerja-keluarga, pola komunikasi, dan dukungan sosial berpengaruh langsung signifikan terhadap kualitas hidup keluarga saat pandemi. Implikasi penelitian adalah kualitas hidup keluarga dapat ditingkatkan dengan pola komunikasi yang terbuka, dukungan sosial dari suami dan keluarga besar, serta mengurangi konflik kerja-keluarga.
Keyword: family communication pattern, quality of life, social support, work-family conflict, stress levels

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