Judul: Kinerja Koperasi Peternak Susu bandung Utara (KPSBU) dengan Pendekatan Balanced Scorecard.
Abstrak: Salah satu provinsi penghasil susu terbesar di Indonesia adalah Provinsi Jawa Barat. Koperasi mempunyai peran yang cukup strategis untuk menopang perkembangan persusuan di Indonesia. Oleh karena itu pengukuran kinerja sangat penting dilakukan oleh koperasi, tidak hanya aspek keuangan tetapi juga aspek non keuangan. Tujuan dari penelitian ini adalah mengidentifikasi rancangan sistem pengukuran kinerja KPSBU dan mengukur kinerja Koperasi Peternak Sapi Bandung Utara. Metode yang digunakan dalam penelitian ini adalah metode Balanced Scorecard. Hasil penelitian ini menunjukan bahwa sasaran strategis untuk perspektif pelanggan adalah kepuasan anggota dan kehadiran anggota saat Rapat Akhir tahun (RAT), sasaran strategis untuk perspektif keuangan adalah rasio keuangan, penerimaan usaha, dan penerimaan Sisa hasil Usaha (SHU), sasaran strategis perspektif proses bisnis internal adalah inovasi usaha dan peningkatan aktivitas unit usaha, dan sasaran strategis perspektif pembelajaran dan pertumbuhan adalah evaluasi kinerja karyawan, peningkatan kompetensi karyawan, dan pembinaan anggota. Kinerja KPSBU termasuk dalam kategori sangat sehat (AAA) dengan total skor 99.83 persen.
Keyword: Kinerja, Balanced Scorecard, Koperasi Peternak Sapi Bandung Utara (KPSBU)

Judul: Analisis dan Strategi Peningkatan Kinerja dengan Metode Balanced Scorecard Pada Koperasi Peternak Susu Bandung Utara Jawa Barat
Abstrak: Efforts to develop and improve the welfare of milk production of dairy farmers can not be separated from the role of cooperatives as a institution breeder business development. Cooperative success is dependent upon the board and the manager of the cooperative. Cooperative management is needed for efficient and effective in order to ensure good co-operative performance. Underwriting performance and the performance evaluation process requires the formulation of a strategy to enhance future performance. This study aims to (1) Determine performance measurement techniques are applied in the current KPSBU, (2) Develop a performance measurement technique using the Balanced Scorecard (BSC), (3) Knowing KPSBU performance with BSC method, and (4) Develop a strategy to enhance performance in the future. The data collection methods through the literature, interviews, questionnaires and Focus Group Discussion (FGD). Performance measurement is defined through the translation of the vision, mission and strategy into the BSC with 4 (four) perspectives of the performance of the membership perspective, financial perspective, internal business and learning and growth perspective. Formulation of a strategy to enhance performance using SWOT analysis. Furthermore, in selecting the best strategy to use Hirarchy Analytical Process (AHP). Review results illustrate that the current performance measurement in the emphasize on the aspect KPSBU financial performance of the financial balance sheet ratios of Liquidity, Solvency and Profitability (LSP). Formulation of performance measurement techniques by using the Balanced Scorecard sort of performance into four perspectives: The perspective of membership/customer; financial perspective, internal business process perspective, learning and growth perspective. Achievement of performance with BSC was 73.4%; Through SWOT analysis has composed 13 (thirteen) KPSBU performance improvement strategy, which is next to the AHP method can be chosen strategy 5 (five), the best strategy for improving performance in the future KPSBU.
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Judul: The Exploration of Discrete Logarithm over Finite Field GF(3m)
Abstrak: The security of many public~key algorithms is based on the problem of finding discrete logarithms. The generalized discrete logarithm problem is the following: given a finite cyclic group G of order n, a generator a of G, and an element fl E G, find the integer x, 0 ~ x ~ n - 1, such that 0: = fl. Algorithm for discrete logarithm problem focused on Menezes et al. (1997) that consist of exhaustive search algorithm, the baby-step giant-step algorithm, Pollard's rho algorithm, Pohlig-Hellman algorithm, and index-calculus algorithm. These algorithms are explorated to be used in discrete logarithm problem over finite field GF(3m ). The exploration also produces some algorithms, i.e. naif negative algorithm, baby-step mother-step algorithm, baby-step mother free-step algorithm, and baby-step free-step algorithm. All algorithms implemented using Maple 11. The Pohlig-Hellman and baby-step giant-step algorithms are efficient enough to be used in discrete logarithm problem over finite field GF(3m ) for m < 20.
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