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"Reflects the collaboration and knowledge of working project managers, providing the fundamentals of project management as they apply to a wide range of projects. This internationally recognized standard provides the essential tools to practice project management and deliver organizational results. Updates include: Addition of a 10th Knowledge Area: Project Stakeholder Management; refined project data information and information flow; and the addition of four new planning processes: Plan Scope Management, Plan Schedule Management, Plan Cost Management and Plan Stakeholder Management."

"Air Traffic Management (ATM) is a discipline that manages the movement of flights in the air and on the ground. Its functions are to maintain the safety level required by the authority and to provide the capacity required by the airlines. The challenges in ATM come from the in-balance between the market growth and the available infrastructure and also the gap between the regulations and the technology. The research in ATM provides the solutions by introducing new methods or technologies to cope with those challenges. The effort in organizing and cataloging the Body of Knowledge (BOK) in research of ATM is presented in this report. This BOK is a complete set of research concepts and activities in term of managing the air traffic to improve the air transportation safety and its capacity. Considering the latest publications in the last 5 years, the BOK consists of five areas of operation which are enroute, arrival, terminal, departure and connectivity. Each area of operations consists of several knowledge units that contain several research topics. In this report, a special attention is given to the development of ATM research in Indonesian. It characterizes with the challenges that commonly faced in Indonesia such as high density air traffic, in-sufficient infrastructure/technology, in-balance demand and supply during peak hours and major disruption by natural disasters (volcanoes and earth quakes).The report summarizes that the trend of ATM research in Indonesia is in the knowledge unit of capacity optimization. Additionally, it recommends to explore research activities by implementing new air traffic concepts such as the trajectory based operation and the integrated of departure and arrival management to improve capacity, efficiency and safety."

"Data merupakan faktor penting yang mempengaruhi dan menunjang keberhasilan di dalam organisasi atau perusahaan. Data merupakan aset dan menjadi faktor pendukung maupun penunjang dalam pengambilan keputusan baik di level manajemen puncak ataupun di bawahnya. PT JAS merupakan salah satu perusahaan penjaminan syariah yang mengelola risiko, melakukan proses pengajuan penjaminan dan pembayaran klaim berdasarkan dukungan data, sehingga dalam menjalankan bisnisnya PT JAS memiliki ekspektasi terhadap data yang berkualitas. Namun berdasarkan realitas, masih ditemukan data tidak lengkap, tidak benar dan tidak akurat di dalam database aplikasi yang menjadi core bisnis penjaminan. Berdasarkan gap antara ekspektasi dan realitas di PT JAS maka, dapat disimpulkan bahwa terjadi masalah yaitu “Kualitas data tidak mencapai target”. Dari hasil analisis yang dilakukan terkait permasalahan-permasalahan kualitas data penulis menentukan satu akar permasalahan untuk dibahas dan diselesaikan di dalam penelitian ini yaitu perusahaan “belum menerapkan tata kelola data “. Hal ini yang menjadi dasar diperlukannya optimalisasi kualitas data perusahaan dengan penerapan sebuah data management yang baik dengan perancangan data governance. Berdasarkan panduan DMBOK, di dalam menyusun fungsi data management pada suatu organisasi data governance merupakan fungsi utama yang harus dipersiapkan terlebih dahulu di dalam penyusunan tersebut. Penelitian ini merupakan penelitian kualitatif dengan paradigma interpretative yang bertujuan untuk mendapatkan sebuah rancangan struktur data governance yang sesuai dan memberikan rekomendasi penyelesaian permasalahan data di PT JAS. Proses pengumpulan data dilakukan melalui wawancara, studi literatur dan observasi dokumen. Hasil dari penelitian ini adalah pemetaan peran dan penyusunan data governance sesuai dengan kondisi organisasi yang dikelompokkan ke dalam peran organisasi dan individu terhadap aktivitas-aktivitas di area perencanaan maupun operasional, selanjutnya dari pemetaan peran diusulkan sebuah rancangan struktur data governance operating model yang membagi jalur eskalasi menjadi taktis dan operasional serta strategis. Selain itu, dari hasil analisis assessment tingkat kematangan data governance, diperoleh 11 usulan inisiatif yang dapat dilakukan untuk menunjang aktivitas data governance dan tercapainya integritas data.

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Data is an important factor that influences and supports success in an organization or company. Data is an asset and is a supporting and supporting factor in decision making both at the top management level and below. PT JAS is one of the sharia guarantees companies that manages risk, processes submissions of guarantees and claims payments based on data support, so that in conducting its business PT JAS has expectations of quality data. However, based on reality, it is still found incomplete, incorrect and inaccurate data in the application database which is the core of the guarantee business. Based on the gap between expectations and reality at PT JAS, it can be concluded that a problem occurred namely "Data quality did not reach the target". From the results of the analysis conducted related to data quality problems, the author determines one root problem to be discussed and resolved in this study, namely the company "has not implemented data governance". This is the basis for the need for optimizing the quality of company data by implementing a good data management by designing data governance. Based on DMBOK guidelines, in compiling data management functions in a data governance organization is the main function that must be prepared in advance in the preparation. This study is a qualitative research with an interpretative paradigm that aims to get an appropriate data structure governance design and provide recommendations for solving data problems at PT JAS. The process of collecting data is done through interviews, literature studies and document observations. The results of this research are role mapping and governance data compilation in accordance with organizational conditions which are grouped into organizational and individual roles for activities in the planning and operational areas, then from the role mapping it is proposed that a governance operating model data structure design that divides the escalation path into tactical and operational as well as strategic. In addition to this from the results of the assessment analysis of the maturity level of governance data, 11 proposed initiatives that can be carried out to support data governance activities and data integrity are achieved."

"Pemanfaatan teknologi digital telah membuat hampir seluruh sektor industri melakukan transformasi digital. Transformasi ini memberikan tantangan baru untuk dunia bisnis baik secara internal dan eskternal. Dengan kemajuan teknologi setiap organisasi mengalami peningkatan volume data dan variasi data serta kebutuhan untuk selalu melakukan ekplorasi terhadap data untuk kebutuhan komptetitif organisasi. PT. XYZ merupakan sebuah perusahaan publik yang didirikan tahun 1975 dan bergerak di bidang teknologi informasi yang berfokus pada ruang lingkup bisnis Digital Services dan Document solution. Berdasarkan hasil wawancara, tinjauan dokumen dan observasi, ditemukan permasalahan manajemen pengelolaan data perusahaan di PT XYZ. Salah satu akar penyebab permasalahan adalah belum adanya manajemen tata kelola data yang diterapkan. Untuk itu, penelitian ini dilakukan untuk merancang tata kelola data yang sesuai dengan kondisi organisasi. Pada penelitian ini dilakukan data governance maturity assessment untuk mengukur tingkat kematangan tata kelola data dengan hasil pengukuran ada pada level 1 (Performed). Dari hasil wawancara, observasi, studi dokumen dan pengukuran tingkat kematangan, selanjutnya dilakukan pemetaan peran dan aktivitas, struktur data governance, strategi data governance, kebijakan data governance, data governance roadmap dan strategi implementasi data governance. Dari hasil analisis yang dilakukan, terdapat depalan usulan inisiatif strategi data governance yang dapat diterapkan organisasi. Rancangan data governance dapat menjadi solusi untuk mempersiapkan penerapan data governance guna mengatasi permasalahan data organisasi.

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The use of digital technology has enabled almost all industrial sectors to undergo digital transformation. This transformation provides new challenges for the business world both internally and externally. With advances in technology, every organization experiences an increase in data volume and data variety as well as the need to always explore data for the organization's competitive needs. PT. XYZ is a public company founded in 1975 and operates in the information technology sector which focuses on the Digital Services and Document Solution business scope. Based on the results of interviews, document reviews and observations, management problems were found in managing company data at PT XYZ. One of the root causes of the problem is that there is no data governance management in place. For this reason, this research was conducted to design data governance that is appropriate to organizational conditions. In this research, a data governance maturity assessment was carried out to measure the level of data governance maturity with the measurement results at level 1 (Performed). From the results of interviews, observations, document studies and maturity level measurements, then mapping of roles and activities, data governance structure, data governance strategy, data governance policy, data governance roadmap and data governance implementation strategy is carried out. From the results of the analysis carried out, there are eight proposed data governance strategy initiatives that organizations can implement. Data governance design can be a solution for preparing the implementation of data governance to overcome organizational data problems."

"Data Center (DC) sebagai pusat operasional seluruh sistem aplikasi dan sentral sistem jaringan komunikasi data, harus dapat memenuhi seluruh kebutuhan kegiatan operasional Teknologi Informasi (TI) perusahaan. Meningkatnya pertumbuhan jumlah infrastruktur TI pada PT. XYZ menyebabkan permasalahan pada DC saat ini. Permasalahan yang ada diantaranya adalah DC saat ini tidak memenuhi standar TIA (Telecommunication Industry Association) - 942, distribusi listrik dan pendinginan yang tidak tercukupi, tekanan beban ruangan dan udara panas yang semakin terkonsentrasi dari banyaknya server yang beroperasional. Dengan permasalahan yang ada pada DC saat ini, PT.XYZ mengembangkan proyek migrasi ke infrastruktur DC baru yang di dalamnya memiliki prasyarat - prasyarat untuk mengatasi permasalahan yang ada saat ini. Dalam kegiatan proyek pengembangan infrastruktur DC baru, diperlukan proses tahapan manajemen risiko untuk dapat mengidentifikasi risiko yang akan dihadapi, proses pengendalian risiko dan strategi - strategi untuk proses mitigasi risiko yang ada. Dalam karya akhir ini dilakukan penyusunan manajemen risiko TI dalam proyek migrasi DC lama ke infrastruktur DC baru dengan menggunakan kerangka kerja Project Management Body of Knowledge (PMBOK). Data yang digunakan adalah data sekunder yaitu hasil wawancara, dokumen rencana koneksi antar rak perangkat jaringan, dokumen jalur rencana instalasi kabel, rencana migrasi storage, jadwal uraian kegiatan proyek dan laporan hasil kegiatan ujicoba. Hasil dari karya akhir ini adalah daftar risiko, strategi mitigasi risiko serta daftar pemilik risiko sebagai acuan dan pedoman dalam proyek migrasi DC yang akan dihadapi.

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Data Center (DC) as the operational center of the whole central system applications and data communication network systems, must be able to meet all the needs of the operational activities of Information Technology (IT) companies. The increasing growth of the IT infrastructure at PT. XYZ cause problems on DC current. Existing problems such as DC does not currently meet the standards TIA (Telecommunications Industry Association) - 942, power distribution and cooling are not fulfilled, the pressure and heat load space is increasingly concentrated on the number of servers are operational. With the problems that exist in the current DC, PT. XYZ develop infrastructure projects migration to a new DC in which has a prerequisite to overcome the problems that exist today. In the course of the DC new infrastructure development projects, the necessary process steps of risk management to identify risks that will be faced, risk control processes and strategies for mitigating the risk. In this thesis carried out the preparation of IT risk management within the current DC migration project infrastructure to the new DC by using the framework of the Project Management Body of Knowledge (PMBOK). The data used are secondary data interviews, planning documents connections between network devices rack, document line cable installation plans, storage migration plan, schedule and description of project activity test report on their activities. The results of this thesis is a list of risks, risk mitigation strategies and risk owners list as a reference and guidance in DC migration project that will be encountered."

"Sebagai sebuah lembaga negara Lembaga Penjamin Simpanan (LPS) memiliki kebutuhan akan data dan informasi dengan kualitas yang baik untuk dijadikan sebagai dasar pengambilan keputusan dan pembuatan kebijakan. Kualitas data yang baik dapat diperoleh apabila pengelolaan data dilakukan dengan baik, termasuk melalui pengukuran kualitas data dan perancangan manajemen kualitas data sebagai bagian dari upaya strategi peningkatannya. Penelitian ini dilakukan untuk memberikan rekomendasi manajemen kualitas data untuk diterapkan di LPS sebagai upaya untuk meningkatkan kualitas data yang dikelola oleh LPS dengan menggunakan Data Quality Framework dari David Loshin dan Data Management Body of Knowledge (DMBOK) dari DAMA Institute. Sebelum dilakukan penyusunan rekomendasi manajemen kualitas data, komponen-komponen manajemen kualitas data dari Data Quality Framework yang terdiri dari harapan pengguna, dimensi kualitas data, kebijakan, prosedur, tata kelola, standar, teknologi, dan pengukuran kinerja digunakan sebagai dasar pengukuran tingkat maturitas kualitas data di LPS. Berdasarkan hasil analisis kesenjangan antara tingkat maturitas manajemen kualitas data LPS saat ini dengan tingkat maturitas manajemen kualitas data LPS yang diharapkan di masa yang akan datang telah disusun rekomendasi aktivitas manajemen kualitas data LPS yang perlu dilakukan. Dari 12 aktivitas Manajemen Kualitas Data dalam DAMA-DMBOK, terdapat 10 aktivitas yang direkomendasikan dalam inisiatif manajemen kualitas data LPS.As a government institution, the Indonesian Deposit Insurance Corporation (IDIC) has the need for good quality data and information to be used as a basis for decision making and policy making. Good data quality can be obtained if the data management is done well, including through measurement of data quality and preparation of data quality management as part of efforts to improve strategy. This research is conducted to provide recommendations for data quality management to be applied at IDIC as an effort to improve the quality of data by using Data Quality Framework from David Loshin and Data Management Body of Knowledge (DMBOK) from DAMA Institute. Prior to the preparation of data quality management recommendations, data quality management components of the Data Quality Framework consisting of user expectations, dimensions of data quality, policies, procedures, governance, standards, technology, and performance measurements are used as a basis for measuring data quality maturity levels on IDIC. Based on the results of the gap analysis between the current maturity level of IDIC’s data quality management and the expected level IDIC’s data quality management, recommendations for IDIC’s data quality management activities have been made. Of the 12 Data Quality Management activities in DAMA-DMBOK, there are 10 recommended activities to be carried out in the data quality management initiatives in IDIC."