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"Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making system"

"Indonesia merupakan negera dengan penerimaan terbesar dari pajak, salah satunya pajak atas orang pribadi maka dari pada itu Compliance Risk Management diterapkan di Direktorat Jenderal Pajak pada September 2019 dengan tujuan meningkatkan pengawasan kepatuhan wajib pajak berbasis risiko yang merupakan reformasi perpajakan dalam membangun profil kepatuhan yang lebih baik.Tujuan penelitian ini adalah untuk menganalisis implementasi Compliance Risk Management di Direktorat Jenderal Pajak dalam meningkatkan kepatuhan wajib pajak di Jakarta dengan mengunakan teori Mazmanian dan Sabatier dan menganalisis strategi Direktorat Jenderal Pajak dalam mensukseskan penerapan Compliance Risk Management di Jakarta. Peneliti mengunakan metode kualitatif serta mengadopsi paradigma pos-positivisme. Berdasarkan hasil analisis melalui pengumpulan data yang dilakukan dengan menggunakan studi pustaka dan wawancara mendalam dengan narasumber, dapat disimpulkan bahwa dengan adanya Compliance Risk Management. lmplementasi Compliance Risk Management dapat membantu Direktorat Jenderal Pajak dalam menangani Wajib Pajak dengan lebih adil dan transparan, manajemen sumber daya menjadi lebih efektif dan lebih efisien sehingga pada akhirnya akan mewujudkan paradigma kepatuhan yang baru bagi Direktorat Jenderal Pajak yaitu kepatuhan yang berkelanjutan bahwa implementasi Compliance Risk Management yang dilakukan di Direktorat Jenderal Pajak dapat meningkatkan kinerja staf Account Receivable yang ada di Kantor Pelayanan Pajak  dalam menentukan risiko, kekurangan pada implementasi ini adalah kurangnya staf di unit Compliance Risk Management dalam menyusun logaritma sistem yang lebih efektif. Hasil penelitian terkait strategi yang dilakukan dalam mensukseskan penerapan yaitu Direktorat Jenderal Pajak Unit Compliance Risk Management melakukan percepatan persebaran sosialisasi dengan sistem shareknowledge yaitu dengan cara mengambil sampel dari masing – masing Kantor Pelayanan Pajak sebagai responen yang nantinya akan dibagikan ke seluruh staf terkait di unit masing -  masing, selain itu juga dengan menanamkan visi dan misi perubahan paradigma di seluruh Direktorat Jenderal Pajak. Namun kekurangan dari hal ini adalah tidak adanya mandatori sehingga masih ada beberapa staf yang tidak melaksanakan kewajibannya dalam melakukan share knowledge.

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Indonesia is the country with the largest tax revenues, one of which is tax on individuals, so Compliance Risk Management was implemented at the Directorate General of Taxes in September 2019 with the aim of increasing supervision of risk-based taxpayer compliance, which is tax reform in building a better compliance profile. The purpose of this study is to analyze the implementation of Compliance Risk Management at the Directorate General of Taxes in increasing taxpayer compliance in Jakarta by using Mazmanian and Sabatier theory and analyzing the Directorate General of Tax's strategy in the successful implementation of Compliance Risk Management in Jakarta. Researchers used qualitative methods and adopted the positivism paradigm. Based on the results of the analysis through data collection conducted using literature studies and in-depth interviews with informants, it can be concluded that with the Compliance Risk Management. Implementation of Compliance Risk Management can help the Directorate General of Taxes to handle Taxpayers more equitably and transparently, resource management becomes more effective and more efficient so that in the end it will realize a new compliance paradigm for the Directorate General of Taxes namely sustainable compliance that implements Compliance Risk Management conducted at the Directorate General of Taxes can improve the performance of Account Receivable staff in the Tax Service Office in determining risk, the lack of this implementation is the lack of staff in the Compliance Risk Management unit in developing a more effective system logarithm. The results of the research related to the strategy carried out in the successful implementation of the Directorate General of Tax Compliance Risk Management Unit accelerate the dissemination of information dissemination using the shareknowledge system by taking samples from each Tax Service Office as a response that will later be shared with all relevant staff in each unit - respectively, but also by instilling a vision and mission of paradigm shift in the entire Directorate General of Taxes. But the drawback of this is the absence of a mandatory so there are still some staff who do not carry out their obligations in conducting knowledge sharing."

"Risiko dan ketidakpastian dalam kegiatan pemboran merupakan suatu hal yang lumrah dihadapi di industri hulu migas. Tidak diantisipasinya risiko akan berakibat fatal pada biaya pemboran. Kesiapan aspek material tangible oleh KKKS (Owner Company) adalah suatu keharusan dan menjadi faktor pertimbangan utama jadi atau tidaknya proyek. Pemboran tidak bisa dimulai atau dilanjutkan ke tahap trayek berikutnya, ketika material tidak tersedia dalam kuantitas yang mencukupi. Perusahaan harus menjamin ketersediaan material dengan tetap memperhatikan faktor keekonomian dan finansial dalam sudut pandang proses bisnis SCM (Supply Chain Management): Pengelolaan persediaan. Penelitian dilakukan terhadap 12 jenis material tangible utama, dalam rentang waktu 2 tahun (2018-2019), mencakup 33 sumur bor (7 eksplorasi dan 26 eksploitasi), berdasarkan 4 parameter data primer sebagai informasi historis berupa jumlah: Persediaan, permintaan, pembelian, dan pemakaian. Kerangka berpikir yang digunakan dalam analisis risiko ini mengacu pada ISO 31000 Supply Chain Risk Management (SCRM). Analisis risiko dilakukan secara kuantitif dengan bantuan Crystal Ball^®[1] untuk memperoleh nilai perkiraan risiko serta melakukan analisis sensitivitas untuk mengetahui variabel yang paling berpengaruh, sehingga dapat dilakukan berbagai upaya untuk menurunkan risiko pada tingkatan yang dapat diterima. Hasil penelitian menunjukkan bahwa faktor dominan utama adalah Casing 9.5/8 in. Simulasi model optimasi dapat meningkatkan probabilitas tercapainya kondisi persediaan sehat hingga 78,19%. Dengan menerapkan faktor koreksi sebesar 8,33% terhadap keputusan pembelian secara keseluruhan, sehingga kondisi persediaan sehat dengan toleransi risiko sebesar 10% dari nilai persediaan dapat tercapai.

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The risks and uncertainties in gas well drilling activity are common in upstream oil & gas industry. The non-anticipated risk will be fatal to the drilling costs. Readiness of Tangible material aspect by PSC’s (Owner Company) is a must and becoming major consideration factor to the project do or not. Drilling can’t be started or continue to the next trajectory, when the material is not available on sufficient quantity, without ignoring quality. The company must guarantee the availability of material by taking into economic and financial factors in perspective of SCM (Supply Chain Management) business processes: Inventory management.

The research was carried out on 12 main tangible material items, in a span of 2 years (2018-2019), including 33 wellbores (7 explorations and 26 exploitations), based on 4 primary data parameters as historical information of quantity: Initial, requirement, purchasing, and usage. The thinking framework used in this risk analysis refers to ISO 31000 Supply Chain Risk Management (SCRM). Risk analysis used quantitatively method with Crystal Ball^® to get the risk forecasting and sensitivity analysis indicating risk priority of the most decisive variable, so that various efforts can be implemented to reducing the risk at a tolerable level.

The results show that the most dominant factor is 9.5/8-inch Casing. Optimization model can increase the probability of health stock achieved up to 78.19%. With implementing correction factor by 8.33% towards purchase decision in overall, so that the health stock condition with 10% risk tolerance of inventory value can be achieved."

"Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research."

"This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes : computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems."