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"[Penelitian ini membahas bagaimana tax sheltering bisa terdeteksi dengan menggunakan data yang ada dalam laporan keuangan.penelitian ini menggunakan data yang berasal dari Bagian Pemeriksaan KPP Perusahaan Masuk Bursa serta dari laporan keuangan masing-masing perusahaan. Sampel penelitian ini selama 2009-2013 dengan total sampel 1220 firm-years. Teknik penelitian ini menggunakan cross-section logistic regresion. Penelitian ini menemukan bahwa Foreign Income, Size, dan loss carryforward memiliki kemungkinan hubungan positif dengan tax shelter.

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The purpose of this study are to find tax sheltering using financial information. Data gathered in this study come from Bagian Pemeriksaan KPP Perusahaan Masuk Bursa and company financial report. Sample in this study are 1220 firmyears from 2009-2013. Technique were used are cross-section logistic regresion. This empirical study result that Foreign Income, Size, dan loss carryforward more likely have positif relation with tax shelter.;The purpose of this study are to find tax sheltering using financial information. Data gathered in this study come from Bagian Pemeriksaan KPP Perusahaan Masuk Bursa and company financial report. Sample in this study are 1220 firmyears from 2009-2013. Technique were used are cross-section logistic regresion. This empirical study result that Foreign Income, Size, dan loss carryforward more likely have positif relation with tax shelter.;The purpose of this study are to find tax sheltering using financial information.Data gathered in this study come from Bagian Pemeriksaan KPP PerusahaanMasuk Bursa and company financial report. Sample in this study are 1220 firmyearsfrom 2009-2013. Technique were used are cross-section logistic regresion.This empirical study result that Foreign Income, Size, dan loss carryforward morelikely have positif relation with tax shelter., The purpose of this study are to find tax sheltering using financial information.Data gathered in this study come from Bagian Pemeriksaan KPP PerusahaanMasuk Bursa and company financial report. Sample in this study are 1220 firmyearsfrom 2009-2013. Technique were used are cross-section logistic regresion.This empirical study result that Foreign Income, Size, dan loss carryforward morelikely have positif relation with tax shelter.]"

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Bencana alam merupakan kejadian yang sering melanda Indonesia. DKI Jakarta, Ibukota Indonesia, juga tidak terhindar dari terjadinya bencana alam. Namun secara sisi anggaran, DKI Jakarta masih memiliki prioritas lain di luar kegiatan penanggulangan bencana. Salah satu dampak yang terjadi karena bencana alam adalah banyaknya korban yang membutuhkan pelayanan kesehatan berupa respon lapangan. Pelayanan kesehatan ini seringkali tidak memadai. Hal tersebut menimbulkan butuhnya posko kesehatan yang ditempatkan di lokasi yang dapat diakses serta memadai kebutuhan korban dengan batasan anggaran. Facility Location Problem merupakan model optimasi yang dapat digunakan untuk memilih lokasi posko kesehatan. Model optimasi dibuat menggunakan Gurobi untuk Python, dan mendapatkan hasil berupa titik-titik lokasi posko kesehatan yang optimal. Penelitian ini juga menemukan beberapa kekurangan yang dapat dikembangkan dalam penelitian selajutnya.

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Indonesia is a country that is often hit by natural disasters. DKI Jakarta, Indonesia’s capital doesn’t stray from this trend. In terms of budgeting, DKI Jakarta has other priorities besides disaster relief. One of the impacts of natural disasters are the emergence of victims that need accessible health services. Often times, these health services are inadequate. These two points, budget and inadequacy, increase the demand for accessible relief shelters that can be deployed within a certain budget. Gurobi for Python is used to model a Facility Location Problem that meets these criteria. An optimal solution is found using said model. However, there are some shortcomings of the current model that can be improved in a future research.

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