Organizational Change Management: A Case Study Of Academic Information System Implementation In Universitas Surabaya, Indonesia

Perubahan organisasi (Organizational Change) adalah munculnya perubahan berdasarkan persepsi penggunanya (Cao dkk, 2000). Menggunakan sebuah studi kasus pada pengembangan sistem informasi akademik di Universitas Surabaya, Indonesia, artikel ini bermaksud untuk menjelaskan bagaimana sebuah perubahan organisasi dapat diimplementasikan dengan baik menggunakan 8 (delapan) faktor sukses yang dikemukakan oleh Kotter (1996) sebagai dasar analisa. Tanpa bermaksud untuk mengabaikan pentingnya faktor sukses tertentu, studi kasus pada artikel ini menemukan empat faktor sukses memiliki level kepentingan yang lebih dibandingkan faktor sukses lainnya. Studi lebih lanjut dibutuhkan untuk mengkonfirmasi temuan ini dan apabila memungkinkan, mengklasifikasi bobot kepentingan tiap sukses faktor sukses dalam mengimplementasikan perubahan dalam sebuah organisas

Business Process Reengineering for Optimal Processes: a Case Study of Student Academic Administration Process Enhancement in University of Surabaya

Regardless the cost and risk, many organizations implemented business processes reengineering (BPR) with hope that it could improves the organization’s performances especially in term of cost reduction, quality improvement, better service, and speed. Recognizing the cost and the potential advantage, this study seeks to understand how a successful BPR could lead to process optimization by thoroughly evaluating a case study of BPR implementation in student academic administration process in UBAYA. Evaluation results suggest that a successful BPR implementation could significantly improve the reengineered processes in all four dimensions of cost, time, quality and flexibility

On circle rotations and the shrinking target properties

We generalize the monotone shrinking target property (MSTP) to the s-exponent monotone shrinking target property (sMSTP) and give a necessary and sufficient condition for a circle rotation to have sMSTP. Using another variant of MSTP, we obtain a new, very short, proof of a known result, which concerns the behavior of irrational rotations and implies a logarithm law similar to D. Sullivan's logarithm law for geodesics.Comment: 13 pages. A new section has been added. The rest of the paper remains the same except for some very minor revisions

AM fungal colonization minimizes disease damage on tomato during later life stages while delaying fruit development

Beneficial soil microbes, such as arbuscular mycorrhizal (AM) fungi, can help prepare plants for defense through a mechanism known as priming. Two of the most important unresolved questions in the field of AM fungal-mediated plant defense are (1) whether the effectiveness of priming remains consistent throughout the plant life cycle, and (2) whether the benefit of priming is context dependent. To address these questions, we initially fed Manduca sexta (tobacco hornworm) larvae on tomato (Solanum lycopersicum) plants that were treated with either live or sterile AM fungal inocula. We did this during the plants' first two stages: vegetative growth and flowering. We found no significant difference between the live and sterile AM fungal inocula treatments in terms of surface area eaten by the hornworms. This suggests that priming does not have any effect on herbivory defense in the early life stages of tomato. After flowering, an unexpected fungal pathogen arose among the plants that precluded the continued addition of hornworms. As a consequence, we carried out a second "experiment" during which disease progression, not herbivory, was monitored during the later life stages of tomato. For this second experiment, we found that plants given the live AM fungal inocula were significantly more resistant to the disease compared to plants given sterile inocula. This suggests that AM fungal colonization does provide tomato with a defensive benefit against disease during later life stages. However, fruit production was significantly delayed in plants given the live inocula, suggesting that the actual benefit of AM fungal colonization to plant fitness could depend on the timing and severity of the disease. Further research on AM fungal-mediated resistance to plant pathogens of varying severity and timing could help elucidate the context dependence of the benefits of AM fungi to plants.Center for Applied Plant Sciences OSU Undergraduate Research ScholarshipNo embargoAcademic Major: Evolution and Ecolog

Nondense orbits for Anosov diffeomorphisms of the 22-torus

Let $\lambda$ denote the probability Lebesgue measure on ${\mathbb T}^2$. For any $C^2$-Anosov diffeomorphism of the $2$-torus preserving $\lambda$ with measure-theoretic entropy equal to topological entropy, we show that the set of points with nondense orbits is hyperplane absolute winning (HAW). This generalizes the result in~\cite[Theorem~1.4]{T4} for $C^2$-expanding maps of the circle.Comment: Minor typos corrected. Added more expositio

MapReduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail!

Hadoop is currently the large-scale data analysis "hammer" of choice, but there exist classes of algorithms that aren't "nails", in the sense that they are not particularly amenable to the MapReduce programming model. To address this, researchers have proposed MapReduce extensions or alternative programming models in which these algorithms can be elegantly expressed. This essay espouses a very different position: that MapReduce is "good enough", and that instead of trying to invent screwdrivers, we should simply get rid of everything that's not a nail. To be more specific, much discussion in the literature surrounds the fact that iterative algorithms are a poor fit for MapReduce: the simple solution is to find alternative non-iterative algorithms that solve the same problem. This essay captures my personal experiences as an academic researcher as well as a software engineer in a "real-world" production analytics environment. From this combined perspective I reflect on the current state and future of "big data" research

Eisenstein series and an asymptotic for the KK-Bessel function

We produce an estimate for the $K$-Bessel function $K_{r + i t}(y)$ with positive, real argument $y$ and of large complex order $r+it$ where $r$ is bounded and $t = y \sin \theta$ for a fixed parameter $0\leq \theta\leq \pi/2$ or $t= y \cosh \mu$ for a fixed parameter $\mu>0$. In particular, we compute the dominant term of the asymptotic expansion of $K_{r + i t}(y)$ as $y \rightarrow \infty$. When $t$ and $y$ are close (or equal), we also give a uniform estimate. As an application of these estimates, we give bounds on the weight-zero (real-analytic) Eisenstein series $E_0^{(j)}(z, r+it)$ for each inequivalent cusp $\kappa_j$ when $1/2 \leq r \leq 3/2$.Comment: 20 pages. The bounds for the Eisenstein series have been extended to all of $y>0$. Error terms for all the estimates have been adde