3,000 research outputs found

    Analisis Sistem Akuntansi Penggajian dan Penghitungan Pph Pasal 21 pada RSUD Prof. Dr. H. M. Anwar Makkatutu di Bantaeng

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    Jpnn.com/read/2014/04/15/228678/Selama-2013, Kemnakertrans-Tangani-2.861-Kasus-Perselisihan-Kerja-Krismiaji. (2010). Sistem Informasi Akuntasi (3rd ed.). Yogyakarta: UPP STIM YKPN. Lasmana, M. S., & Setiorahardjo, B. (2010). Cara Perhitungan Pemotongan PPH Pasal 21. Yogyakarta: Graha Ilmu. Mardiasmo. (2009). Perpajakan (edisi revisi 2009). Yogyakarta: Andi. Mcleong, L. J. (2007). Metodologi Penelitian Kualitatif. Bandung: Remaja Rosdakarya.Menteri Dalam Negeri Republik Indonesia. (2007). Peraturan Menteri Dalam Negeri Nomor 61 Tahun 2007 tentang Pedoman Teknis Pengelolaan Keuangan Badan Layanan Umum Daerah. Menteri Keuangan Republik Indonesia. (2012). Peraturan Menteri Keuangan Republik Indonesia Nomor 162/PMK.011/2012 tentang Penyesuaian Besarnya Penghasilan Tidak Kena Pajak. Menteri Keuangan Republik Indonesia. (2008). Peraturan Menteri Keuangan Republik Indonesia Nomor 250/PMK.03/2008 tentang Besarnya Biaya Jabatan atau Biaya Pensiun yang Dapat Dikurangkan dari Penghasilan Bruto Pegawai Tetap atau Pensiunan. Menteri Keuangan Republik Indonesia. (2010). Peraturan Menteri Keuangan Republik Indonesia Nomor 262/PMK.03/2010 tentang Tata Cara Pemotongan Pajak Penghasilan Pasal 21 Bagi Pejabat Negara, PNS, Anggota TNI, Anggota Polri, dan Pensiunannya atas Penghasilan yang Menjadi Beban Anggaran Pendapatan dan Belanja Negara atau Anggaran Pendapatan dan Belanja Daerah. Modul Pengelolaan Administrasi Belanja Pegawai. 22 Desember 2014.http://modulsatker.blogspot.com/2014/02/modul-pengelolaan-administrasi-belanja.htmlMulyadi. (2008). Sistem Akuntansi (3rd ed.). Jakarta: Salemba Empat.Narko. (2004). Sistem Akuntansi. Yogyakarta: Yayasan Pustaka Nusatama. Nasirudin, M. (2013). Cara Penghitungan PPh Pasal 21 Terbaru. 27 November 2014. http://www.pajak.go.id/content/article/cara-penghitungan-pph-pasal-21-terbaruNawawi, H. (2005). Manajemen Sumber Daya Manusia: Untuk Bisnis yang Kompetitif. Yogyakarta: Gadjah Mada University Press. ________. (2005). Metode Penelitian Bidang Sosial. Yogyakarta: Gadjah Mada University Press. Pemerintah Republik Indonesia. (2010). Peraturan Pemerintah Republik Indonesia Nomor 80 Tahun 2010 tentang Tarif Pemotongan dan Pengenaan Pajak Penghasilan Pasal 21 atas Penghasilan yang Menjadi Beban Anggaran Pendapatan dan Belanja Negara atau Anggaran Pendapatan dan Belanja Daerah Pemerintah Republik Indonesia. (2008). Undang-Undang Republik Indonesia Nomor 36 Tahun 2008 tentang Perubahan Keempat atas Undang-Undang Nomor 7 Tahun 1983 tentang Pajak Penghasilan. Rivai, Veithzal. (2008). Manajemen Sumber Daya Manusia untuk Perusahaan (2nd ed.). Jakarta: Raja Grafindo Persada. Romney, M. B., Steinbart, P. J. (2011). Accounting Information System (12th ed.). New Jersey: Pearson Prentice Hall. RSUD. (2014). Profil RSUD Prof. Dr. H. M. Anwar Makkatutu Kabupaten Bantaeng. Bantaeng: Sub Bagian Program dan Pelaporan.Sanovra, J. R. (2014). Dokter Demo Tuntut Jasa Pelayanan, Pasien RSUD Daya Telantar 2 Jam. 3 November 2014.http://makassar.tribunnews.com/2014/09/24/dokter-demo-tuntut-jasa-pelayanan-pasien-rsud-daya-telantar-2-jamSastrohadiwiryo, B. S. (2005). Manajemen Tenaga Kerja Indonesia: Pendekatan Administratif dan Operasional. Jakarta: PT. Bumi Aksara.Setiawan, H. (2013). Metode Pemotongan PPh Pasal 21 Mixed sebagai Alternatif Berbagi Beban. 26 November 2014. http://www.ortax.org/ortax/?mod=issue&page=show&id=52Suandy, E. (2011). Hukum Pajak (5th ed.). Jakarta: Salemba Empat. Sugiyono. (2010). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta. Suharyadi, R. (2014). RSUD Banten Nyaris Lumpuh. 5 November 2014.http://kabar-Banten.com/news/detail/21631Suryaonline. (2014). Karyawan RSUD Mardi Waluyo Demo. 3 November 2014.http://surabaya.tribunnews.com/2014/08/06/karyawan-rsud-mardi-waluyo-demoWarren, C. S., Reeve, J. M., & Fess, P. E. (2005). Pengantar Akuntansi, (Aria F., Amanugrahani, & Taufik H., Penerjemah). Jakarta: Salemba Empat. Waluyo. (2011). Perpajakan Indonesia. Jakarta: Salemba Empat

    Characterization of the second- and third-order nonlinear optical susceptibilities of monolayer MoS2_2 using multiphoton microscopy

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    We report second- and third-harmonic generation in monolayer MoS2_\mathrm{2} as a tool for imaging and accurately characterizing the material's nonlinear optical properties under 1560 nm excitation. Using a surface nonlinear optics treatment, we derive expressions relating experimental measurements to second- and third-order nonlinear sheet susceptibility magnitudes, obtaining values of χs(2)=2.0×1020|\chi_s^{(2)}|=2.0\times10^{-20} m2^2 V1^{-1} and for the first time for monolayer MoS2_\mathrm{2}, χs(3)=1.7×1028|\chi_s^{(3)}|=1.7\times10^{-28} m3^3 V2^{-2}. These sheet susceptibilities correspond to effective bulk nonlinear susceptibility values of χb(2)=2.9×1011|\chi_{b}^{(2)}|=2.9\times10^{-11} m V1^{-1} and χb(3)=2.4×1019|\chi_{b}^{(3)}|=2.4\times10^{-19} m2^2 V2^{-2}, accounting for the sheet thickness. Experimental comparisons between MoS2_\mathrm{2} and graphene are also performed, demonstrating \sim3.4 times stronger third-order sheet nonlinearity in monolayer MoS2_\mathrm{2}, highlighting the material's potential for nonlinear photonics in the telecommunications C band.Comment: Accepted by 2D Materials, 28th Oct 201

    Australian vegetation classification and the International Vegetation Classification framework: an overview with case studies

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    Recent advances in conceptual frameworks in vegetation classifications, such as the EcoVeg approach that underpins the International Vegetation Classification (IVC) developed by NatureServe staff and colleagues, offer opportunities to enhance national classification initiatives. National level initiatives provide an important stepping-stone between international units and subnational units. Australia has a long history of developing various vegetation typologies at local to regional scales, but ecologists recognise the need for an Australia-wide, plot-based vegetation classification system that incorporates the principles of the EcoVeg approach, and thereby helps build an international classification system. Using two case studies, we provide a comparison of various structures and criteria for relevant Australian classifications in the context of the IVC, and exemplify how Australian classifications of forest, shrublands, grasslands, and deserts could potentially link into the IVC hierarchy to illustrate the capacity of the IVC to summarise the full range of Australian vegetation at a broad formation (biome) scale. We then discuss how the IVC might inform future work towards an Australian vegetation classification system and, vice versa, the implications of an Australian vegetation classification for IVC development

    Poplar box woodlands of Eastern Australia: an assessment of a threatened ecological community within the IVC framework

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    Aims: Ecosystems nationally at risk in Australia are listed under the Environmental Protection and Biodiversity Act (EPBC Act), and many cross State jurisdictional boundaries. The determination of these ecosystems across the State boundaries are based on expert knowledge. The International Vegetation Classification has the potential to be useful as a cross-jurisdictional hierarchy which also gives global perspective to ecosystems. Study Area: All bioregions that include Eucalyptus populnea as a dominant or major component of woodlands across the species known distribution. Methods: We use plot-based data (455 plots) from two states (Queensland and New South Wales) in eastern Australia and quantitative classification methods to assess the definition and description for the Poplar Box Woodland ecosystem type (hereafter "ecological community" or "community") that is listed as endangered under the EPBC Act. Analyses were conducted using kR-CLUSTER methods to generate alliances. Within these alliances, analyses were undertaken to define associations using agglomerative hierarchical clustering and similarity profile testing (SIMPROF). We then explore how assigning this community into the IVC hierarchy may provide a mechanism for linking Australian communities, defined at the association and alliance levels, to international communities at risk. Results: We define three alliances and 23 associations based on the results of floristic analysis. Using the standard rule-set of the IVC system, we found that the IVC hierarchy was a useful instrument in correlating ecological communities across jurisdictional boundaries where different classification systems are used. It is potentially important in giving a broader understanding of communities that may be at risk continentally and globally. Conclusions: We conclude that the IVC hierarchy can incorporate Australian communities at the association level into useful units at higher levels, and provides a useful classification tool for Australian ecosystems

    Xist RNA Is a Potent Suppressor of Hematologic Cancer in Mice

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    SummaryX chromosome aneuploidies have long been associated with human cancers, but causality has not been established. In mammals, X chromosome inactivation (XCI) is triggered by Xist RNA to equalize gene expression between the sexes. Here we delete Xist in the blood compartment of mice and demonstrate that mutant females develop a highly aggressive myeloproliferative neoplasm and myelodysplastic syndrome (mixed MPN/MDS) with 100% penetrance. Significant disease components include primary myelofibrosis, leukemia, histiocytic sarcoma, and vasculitis. Xist-deficient hematopoietic stem cells (HSCs) show aberrant maturation and age-dependent loss. Reconstitution experiments indicate that MPN/MDS and myelofibrosis are of hematopoietic rather than stromal origin. We propose that Xist loss results in X reactivation and consequent genome-wide changes that lead to cancer, thereby causally linking the X chromosome to cancer in mice. Thus, Xist RNA not only is required to maintain XCI but also suppresses cancer in vivo
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