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"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."

"ABSTRAKDalam dunia organisasi dewasa ini, pengelolaan data dan informasi sudah menjadi kegiatan yang sangat penting dalam mendukung tercapainya tujuan organisasi. Sebagai Kementerian baru pada Pemerintahan Republik Indonesia, Kementerian Riset, Teknologi dan Pendidikan Tinggi Kemristekdikti merupakan organisasi yang juga memerlukan pengelolan data dan informasi yang baik. Pengelolaan data Ilmu Pengetahuan dan Teknologi Iptek , serta pengelolaan data Pendidikan Tinggi Dikti adalah tanggung jawab Kementerian ini. Sejauh ini, kebijakan tentang pengelolaan data tersebut masih dalam proses pembahasan, padahalpermasalahan-permasalahan terkait dengan data sudah seringkali bermunculan dan mengganggu kinerja organisasi. Kondisi ini mengharuskan Kemristekdikti untuk segera menerapkan kebijakan pengelolaan datadan informasi yang baik.Permasalahan data seringkali terjadi karena organisasi belum menerapkan data management yang efektif. Berdasarkan panduan Data Management Body of Knowledge DMBOK , fungsi data management terbagi ke dalam sepuluh komponen, satu komponen yang memegang peranan sangat penting bagi pelaksanaan komponen lainnya adalah data governance. Penelitian ini bertujuan untuk mengetahui rancangan struktur data governance berdasarkan panduan DMBOK sebagai referensi utama. Rancangan struktur yang disusun mengacu kepada penelitian tentang data governance sebelumnya yang terdiri atas tiga unsur, yaitu role, decision areadan responsibility. Selanjutnya hasil rancangan yang diperoleh disesuaikan dengan kondisi Kemristekdikti sehingga menjadi titik awal dalam pelaksanaan data governance di lingkungan Kemristekdikti.Hasil dari penelitian ini menunjukan bahwa panduan DMBOK bisa dipadukan dengan struktur data governance penelitian sebelumnya. Aktivitas data governance pada DMBOK dapat digunakan sebagai solusi awal dari permasalahan data yang terjadi. Harapannya, struktur data governance yang dirancang dapat diaplikasikan sehingga pelaksanaan data governance di Kemristekdikti dapat berjalan secara berkesinambungan.

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ABSTRACTCurrently, in organizational world, data and information management is very important activity to support organizational goal achievement. As new ministry of Indonesia Republic, Ministry of Research, Technology and Higher Education Kemristekdikti also requires good data and information management. Data management of science, technology and higher education is this ministry responsibility. In so far, policy of such data management is in discussion process indeed, frequently, so many problems related with data had arisen and disturbed organizational performance. Such condition resulted in the Ministry of Research, Technology and Higher Education should apply good data and information management. Frequently, data issues had occurred because organization had not applied effective data management. Based on data guidance of Data Management Body of Knowledge DMBOK , function of data management is divided into ten components which of very importantone and playing role is data governance.This research is aimed at knowing structural designing of data governance based on DMBOK guidance as principal reference.Structural designing having been set refer to research on previous data governance comprising three elements, those are role, decision area and responsibility. Subsequently, designing result having been obtained to be adjusted with condition of Ministry of Research, Technology and Higher Education and as starting point to implement data governance atMinistry of Research, Technology and Higher Education.This research result had indicated that DMBOK guidance may be combined with previous research on structure of data governance. Activity of data governance at DMBOK may be used as early solution from occurring data problem.Wishfully, the designed data governance structure may be applied, hence, implementation of data governance at Ministry of Research, Technology and Higher Education may be realized sustainably."

"PT Kustodian Sentral efek Indonesia (KSEI) adalah salah satu self regulatory organization (SRO) di pasar modal Indonesia yang ditunjuk sebagai Lembaga Penyimpanan dan Penyelesaian dan merupakan satu-satunya central depository di pasar modal Indonesia yang mengelola pusat data investor, balance/holding, dan lainnya, sehingga menuntut KSEI harus memiliki kualitas data yang baik. Namun pada kenyataannya walaupun kualitas data berdasarkan wawancara dan Customer Satisfaction Index (CSI) KSEI tahun 2019 sudah cukup baik dari segi integritas dan accuracy tetapi dari sisi completeness, timeliness, dan punctuality masih harus ditingkatkan. Untuk meningkatkan kualitas data yang diharapkan oleh organisasi dibutuhkan sebuah manajemen data yang baik dan komponen pertama yang dapat dilakukan untuk mencapainya adalah dengan adanya data governance. Saat ini KSEI belum memiliki data governance sehingga tujuan pada penelitian ini adalah untuk merancang data governance yang sesuai dengan kondisi di KSEI menggunakan panduan framework DMBOK dan beberapa penelitian terdahulu. Rancangan yang dihasilkan pada penelitian ini meliputi struktur organisasi data governance (pemetaan peran, aktivitas, dan tanggung jawab), model operasional, dan 13 buah usulan serta roadmap implementasi yang akan dijalankan selama 2 tahun. Diharapkan dengan adanya penerapan data governance di KSEI dapat meningkatkan kualitas manajemen data karena terdapat fungsi perencanaan, pengawasan, dan kontrol terhadap data secara menyeluruh.

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Indonesia Central Securities Depository (KSEI) is one of the self-regulatory organizations (SRO) in Indonesian capital market that is appointed as the Depository and Settlement Institution. As the only central depository in Indonesian capital market that manages investor, balance/holding, and other data, KSEI is required to have high quality data. In practice, however, the data quality based on 2019 Customer Satisfaction Index (CSI) is still lacking in terms of completeness, timeliness, and punctuality despite being good in terms of integrity and accuracy. A robust data management strategy is required to accomplish the organization's goals for improved data quality, and data governance is the first step that can be taken in that direction. Since KSEI does not yet have data governance, the goal of this study is to create data governance that complies with KSEI's requirements utilizing the DMBOK framework's rules and findings from several previous studies. The study’s result consists of organizational data governance (roles, activities, and responsibilities mapping), operational models, and 13 proposals and implementation roadmaps that will be implemented for 2 years. The adoption of data governance at KSEI is anticipated to enhance the caliber of data management, including the activities of planning, monitoring, and controlling the data within the company."

"Data master merupakan data penting yang merepresentasikan objek bisnis utama dari suatu perusahaan, salah satunya pelanggan. Manajemen data master berperan dalam pengelolaan data master yang meliputi kepemilikan, kualitas, arsitektur, penyimpanan, dan distribusi data. PT Telekomunikasi Indonesia Tbk. (Telkom) merupakan perusahaan telekomunikasi terbesar di Indonesia dengan salah satu portofolio utama yaitu Indihome. Dalam rangka menyukseskan program utama Telkom 2020, data master pelanggan Indihome yang berkualitas merupakan data yang vital dibutuhkan. Analisis dan profiling data pelanggan dilakukan lebih akurat untuk meningkatkan customer experience dan kualitas produk Indihome. Berdasarkan hasil wawancara diketahui bahwa belum ada data master pelanggan. Hasil observasi juga menunjukkan data pelanggan Indihome yang ada pada aplikasi operasional tidak lengkap, tidak akurat, dan tidak valid. Penelitian ini menggunakan metode kualitatif dengan desain studi kasus yang bertujuan untuk melakukan perencanaan manajemen data master untuk data pelanggan Indihome di Telkom menggunakan kerangka kerja Data Management Body of Knowledge (DMBOK) dan model arsitektur dari Boris Otto, serta dengan mempertimbangkan hasil pengukuran tingkat kematangan manajemen data master dengan model Master Data Management Maturity Model (MD3M). Hasil pengukuran menunjukkan tingkat kematangan manajemen data master pelanggan Indihome berada pada level satu. Untuk mencapai tingkat kematangan yang diharapkan sebagaimana dalam strategi dan program utama Telkom, maka penelitian ini menghasilkan rancangan manajemen data master pelanggan Indihome, berupa rancangan tata kelola, arsitektur, serta peta jalan implementasi. Penelitian ini dapat menjadi acuan dalam implementasi manajemen data master pelanggan Indihome di Telkom, serta memberikan penambahan pengetahuan mengenai perencanaan manajemen data master pelanggan pada perusahaan telekomunikasi.

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Master data is important data that represents the main business objects of a company. Customer is one of the main business objects of a company. Master data management plays a role in managing master data which includes ownership, quality, architecture, storage, and distribution of data. PT Telekomunikasi Indonesia Tbk. (Telkom) is the largest telecommunications company in Indonesia with one of the main portfolios, namely Indihome. To succeed in the main program of Telkom 2020, Indihome customer master data that has a good quality is vital. Analysis and profiling of customer data are carried out more accurately to improve the customer experience and quality of Indihome products. Based on the interview results it is known that there is no customer master data because it is still fragmented in several operational applications. The observation also shows that Indihome customer data that is in the operational application is incomplete, inaccurate, and invalid. This research uses a qualitative method with a case study design that aims to plan master data management for Indihome customer data at Telkom using the Data Management Body of Knowledge (DMBOK) framework and architectural models from Boris Otto, and by considering the measurement results of master data management maturity level with the Master Data Management Maturity Model (MD3M) model. The measurement results show that the maturity level of Indihome customer master data management is at level one. To achieve the expected level of maturity as in Telkom's main strategy and program, this study produces a master data management plan for Indihome customers, in the form of governance, architecture and implementation road maps. This research can be used as a reference in implementing Indihome customer master data management at Telkom, as well as providing additional knowledge about customer master data management planning at telecommunication companies."

"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."

"ABSTRAKThis thesis seeks to analyze the knowledge sharing regarding sustainablewater supply infrastructure. Questionnaire survey method is obtained in thisresearch. The research was conducted in Germany and Indonesia with the focusof knowledge sharing among university students. In order to obtain adecentralized system among citizen, water conservation is one of the mosteffective way in maintaining a sustainable water infrastructure. Therefore,water conservation habit analysis is used in order to check the application ofshared knowledge. The knowledge sharing frequency is also compared betweenthe two countries. The relationship between knowledge sharing regarding watersupply and water conservation habit is explained. Knowledge sharing isfuctioned to define what kind of infrastructure is suitable considering theIndonesian culture in managing water supply referring to Germany as a countrywith sustainable water supply infrastructure.

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ABSTRACTThis thesis seeks to analyze the knowledge sharing regarding sustainablewater supply infrastructure. Questionnaire survey method is obtained in thisresearch. The research was conducted in Germany and Indonesia with the focusof knowledge sharing among university students. In order to obtain adecentralized system among citizen, water conservation is one of the mosteffective way in maintaining a sustainable water infrastructure. Therefore,water conservation habit analysis is used in order to check the application ofshared knowledge. The knowledge sharing frequency is also compared betweenthe two countries. The relationship between knowledge sharing regarding watersupply and water conservation habit is explained. Knowledge sharing isfuctioned to define what kind of infrastructure is suitable considering theIndonesian culture in managing water supply referring to Germany as a countrywith sustainable water supply infrastructure."

"Buku yang berjudul "The pilot's air traffic control handbook" ini ditulis oleh Paul E. Illman. Buku ini merupakan sebuah buku panduan yang ditujukan untuk pilot, yaitu mengenai sistem operasi di udara."

"This proceedings provides novel concepts and techniques for air traffic management (ATM) and communications, navigation, and surveillance (CNS) systems. The volume consists of selected papers from the 5th ENRI International Workshop on ATM/CNS (EIWAC2017) held in Tokyo in November 2017, the theme of which was “Drafting Future Skies”. Included are key topics to realize safer and more efficient skies in the future, linked to the integrated conference theme consisting of long-term visions based on presentations from various fields. The proceedings is dedicated not only to researchers, academicians, and university students, but also to engineers in the industry, air navigation service providers (ANSPs), and regulators of aviation."

"Skripsi ini membahas mengenai analisis variabel-variabel yang mempengaruhi intensi pembelian produk ramah lingkungan konsumen Indonesia. Terdapat lima faktor yang ingin diteliti yaitu pengetahuan tentang lingkungan, sikap terhadap lingkungan, peran pemerintah, pengaruh teman, dan label ramah lingkungan. Ruang lingkup dari penelitian ini adalah masyarakat Indonesia yang mengetahui brand The Body Shop dan tinggal di wilayah yang tedapat toko The Body Shop. Dengan menggunakan metode regresi berganda, ditemukan bahwa sikap terhadap lingkungan, pengaruh teman dan label ramah lingkungan berpengaruh terhadap intensi pembelian produk hijau.Sementara pengetahuan tentang lingkungan dan peran pemerintah tidak berpengaruh terhadap intensi pembelian produk hijau.Dengan temuan penelitian dengan konteks konsumen Indonesia, peneliti dapat memberikan beberapa saran terkait dengan intensi pembelian produk hijau.

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This research discusses the analysis variables that influence green purchase intention Indonesia consumers. There are five variables which included in this research such as environmental knowledge, environmental attitude, government initiative, peer pressure and eco label. The scope of this research is the Indonesian people who know the The Body Shop brand and live in an area which is attached to the The Body Shop store.This study is prepared using the method multiple regression. The finding shows that environmental attitude, peer pressure and eco label are the determinant factor to influence green purchase intention. Meanwhile environmental knowledge and government initiative don’t have any influence toward green purchase intention. With the finding in the context of Indonesia consumers, this research suggest recommendation about green purchase intention."

"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."