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"Dalam era revolusi industri 4.0, integrasi teknologi menjadi kunci untuk meningkatkan produktivitas di sektor manufaktur. Dalam konteks ini, penggunaan Cloud Computing, Internet of Things (IoT), dan Machine Learning (ML) memainkan peran penting. IoT dan Cloud Computing digunakan untuk mengelola proses pengumpulan dan pengolahan data, terutama dari sensor mesin. Data ini kemudian dapat digunakan untuk pelatihan model ML, khususnya dalam kasus Predictive Maintenance. Predictive Maintenance bertujuan untuk memprediksi kapan suatu mesin memerlukan perawatan. Dalam penelitian sebelumnya, pendekatan masalah hanya memilih satu metode (klasifikasi atau regresi). Oleh karena itu, penelitian ini menciptakan metode Predictive Maintenance yang menggabungkan keduanya. Model yang dikembangkan menggunakan dua jenis pendekatan: Random Forest Tree untuk klasifikasi dan LSTM (Long Short-Term Memory) dengan Fully Connected layer untuk prediksi. Hasil pengujian menunjukkan bahwa model yang menggunakan LSTM untuk klasifikasi dan regresi mencapai akurasi 100%. Diikuti dengan hasil recall, precission, dan F-1 score yang mencapai 1.00. Oleh karena itu, LSTM dapat dianggap sebagai algoritma terbaik untuk Predictive Maintenance dalam industri manufaktur.

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In the era of the 4th industrial revolution, technology integration is key to improving productivity in the manufacturing sector. In this context, the use of Cloud Computing, Internet of Things (IoT), and Machine Learning (ML) plays a crucial role. IoT and Cloud Computing are used to manage the process of data collection and processing, especially from machine sensors. This data can then be used for ML model training, particularly in the case of Predictive Maintenance. Predictive Maintenance aims to predict when a machine requires maintenance. In previous research, the problem approach often involved choosing only one method (classification or regression). Therefore, this study created a Predictive Maintenance method that combines both approaches. The developed model uses two types of approaches: Random Forest Tree for classification and LSTM (Long Short-Term Memory) with a Fully Connected layer for prediction. Test results show that the model using LSTM for both classification and regression achieves 100% accuracy. Additionally, the recall, precision, and F-1 score results also reach 1.00. Therefore, LSTM can be considered the best algorithm for Predictive Maintenance in the manufacturing industry."

"Web Services, Service-Oriented Architectures, and Cloud Computing is a jargon-free, highly illustrated explanation of how to leverage the rapidly multiplying services available on the Internet. The future of business will depend on software agents, mobile devices, public and private clouds, big data, and other highly connected technology. IT professionals will need to evaluate and combine online services into service-oriented architectures (SOA), often depending on Web services and cloud computing. This can mean a fundamental shift away from custom software and towards a more nimble use of semantic vocabularies, middle-tier systems, adapters and other standardizing aspects.This book is a guide for the savvy manager who wants to capitalize on this technological revolution. It begins with a high-level example of how an average person might interact with a service-oriented architecture, and progresses to more detail, discussing technical forces driving adoption and how to manage technology, culture and personnel issues that can arise during adoption. An extensive reference section provides quick access to commonly used terms and concepts."

"PT. Taspen as Indonesian institution, is responsible for managing social insuranceprograms of civil servants. With branch offices and business partners who are geographicallydispersed throughout Indonesia, information technology is very important to support thebusiness processes. Cloud computing is a model of information technology services that couldpotentially increase the effectiveness and efficiency of PT. Taspen information system. Thisstudy examines the phenomenon exists at PT. Taspen in order to adopt cloud computing inthe information system, by using the framework of Technology-Organization-Environment,Diffusion of Innovation theory, and Partial Least Square method. Organizational factor isthe most dominant for PT. Taspen to adopt cloud computing. Referring to these findings,then a SWOT analysis and TOWS matrix are performed, which in this study recommendsthe implementation of a strategy model of cloud computing services that are private andgradually in process."

"The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems"

"Cloud computing is full of tremendous opportunity, but is also riddled with hype and confusion. Business and technology leaders know the cloud is essential, but they lack clarity and experience. To the Cloud cuts through the noise and addresses the Why, What, and How of enterprise cloud adoption. This unique guide lays out a four-step framework, leveraging the experience and best practices of Microsoft's own IT group. The book delivers end-to-end business and technology guidance, describing how to analyze application portfolios to identify good cloud candidates, choose the right cloud models, consider architecture and security, and understand how shifting operations to the cloud affects budgeting and staffing. Applicable to all cloud platforms and providers, this practical resource debunks myths, revealing that real clouds are more than just web hosting, virtualization, or the Internet itself rebranded. It takes a balanced approach, addressing concerns and hybrid adoption scenarios alike. Based on the authors' proven expertise working for Microsoft's CIO on cloud migration and with cloud platform development teams, the book is supported by clear frameworks, graphics, tables, summaries, and checklists to provide a true practitioner's guide to the cloud. To the Cloud helps you: Explore cloud computing to understand its promise and challenges. Envision how cloud computing can transform your organization. Enable your organization with the necessary resources and skills. Execute the design, development, and operation of cloud workloads. To the Cloud is essential for IT professionals seeking to lower total cost of ownership, improve the return on IT investment of existing services, and help the business bring new products to market more quickly."

"Kebutuhan untuk menyediakan layanan kepada pengguna di seluruh dunia menyebabkan layanan aplikasi web untuk beradaptasi menggunakan teknologi baru dan memadai. Untuk mencapai hal tersebut, layanan cloud servis digunakan untuk memperluas jangkauan geografis dari layanan web di seluruh dunia. Peningkatan kualitas pengembangan deployment aplikasi web terlihat pada Kubernetes, alat yang diadopsi secara luas yang didukung di sebagian besar platform cloud, yang memungkinkan penerapan geo-distributed clusters untuk aplikasi yang memiliki pengguna multinasional. Dikarenakan kelangkaan studi mengenai geo-distributed clusters dan kinerjanya, penelitian ini bermaksud untuk menjembatani kesenjangan pengetahuan tersebut dengan mengimplementasikan solusi menggunakan Istio (Anthos Service Mesh), mesh layanan yang paling banyak digunakan untuk aplikasi Kubernetes, serta solusi cloud native di Google Cloud Platform menggunakan MultiClusterService. Studi ini menemukan bahwa kedua pendekatan tersebut dapat diandalkan, namun, Istio/ASM memiliki latensi yang sedikit lebih rendah untuk sebagian besar request. Kedua pendekatan tersebut merupakan pilihan baik untuk aplikasi global, karena keduanya menggunakan geo-aware load balancing, yang merutekan permintaan pengguna ke klaster terdekat yang tersedia. Basis kode studi dan hasil pengujian ini tersedia secara open-sourced untuk studi lebih lanjut tentang aplikasi berbasis geo-distributed Kubernetes clusters.

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With the need of providing services to ever-growing worldwide users, web application services must adapt new technologies in order to fulfill these needs. As setting up physical servers across the globe is a daunting task, cloud service providers are an essential tool to reach geographical coverage for worldwide web services. Further advancements on the developer experience of deploying web applications can be seen in tools such as Kubernetes, a widely adopted tool that’s supported in most cloud platforms that enables the implementation of geo-distributed clusters for applications with a multi-national user base. However, there is a scarcity of studies regarding geo-distributed clusters methods and its performance. Therefore, this study intends to bridge that knowledge gap by implementing a solution using Istio (Anthos Service Mesh), the most used service mesh for kubernetes applications as well as a cloud native solution on Google Cloud Platform using MultiClusterService. This study found that both approaches are reliable, however, Istio / ASM has a slightly lower latency for the vast majority of requests. In addition, both approaches are a viable choice for worldwide applications, as they both use geo- aware load balancing, which routes user requests to the nearest available cluster. This study’s scripts and test results are open-sourced for further studies about geo-distributed Kubernetes- based applications. "

"The book constitutes selected high quality papers presented in International Conference on Computing, Power and Communication Technologies 2018 (GUCON 2018) organised by Galgotias University, India, in September 2018. It discusses issues in electrical, computer and electronics engineering and technologies. The selected papers are organised into three sections - cloud computing and computer networks; data mining and big data analysis; and bioinformatics and machine learning. In-depth discussions on various issues under these topics provides an interesting compilation for researchers, engineers, and students."

"ABSTRAKDalam rangka meningkatkan kebutuhan kapasitas tempat penyimpanan yang terpusat dan dapat di akssess dimana saja dengan beberapa user serta meramingkan pengelolaan hardware maka di buatlah IT infrastruktur berupa server yang menggunakan system berbasis network attached storage (NAS), ini menrupakan prototype internal dalam hal cloud storage yang memiliki jaringan tersendiri serta berfungsi sebagai pusat penyimpanan data dan sharing data menggunakan internet tanpa keterbatasan yang harus membawa alat penyimpanan data tambahan saat berpergian.

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ABSTRACTIn order to increase the need of centralized storage capacity and enhance the accessing in anywhere with multiple users and streamline hardware management, IT infrastructure is made in the form of server using a network attached storage (NAS) based system, this is an internal prototype in terms of cloud storage that has separate network and server as a center for data storage and data sharing using the internet without limitations that must carry additional data storage tools when traveling."

"Pengelolaan pegawai secara individu dalam ekosistem organisasi pembelajar dan pengelolaan pengetahuan untuk pencapaian karakter unggul berbasis teknologi informasi sangat penting dilakukan di sebuah perusahaan. Pada PT Semen Indonesia perlu dibuat aplikasi Sidilearn dan E-LSP yang dibangun untuk mengembangkan kompetensi karyawan agar mampu bersaing dengan kompetitor baik lokal maupun global. Berdasarkan hasil kajian dan evaluasi aplikasi membutuhkan fitur yang meliputi pengembangan user interface/user experience, informasi yang dapat ditampilkan pada sistem, informasi dashboard individu dan konfigurasi. Peningkatan pada kedua aplikasi tersebut bertujuan agar kedua aplikasi tersebut memberikan manfaat bagi karyawan dan perusahaan. Oleh karena itu pada praktek keinsinyuran ini bertujuan untuk mengerjakan project pengerjaan aplikasi Sidilearn dan E-LSP pada PT Semen Indonesia. Posisi penulis pada proyek ini adalah sebagai project manager. Hasil dari praktek keinsinyuran ini adalah terciptanya aplikasi Sidilearn dan E-LSP yang telah diterapkan pada lingkungan PT Semen Indonesia untuk proses pembelajaran dan sertifikasi secara online.

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Individual employee management in the learning organization ecosystem and knowledge management for achieving superior character based on information technology are very important in a company. At PT Semen Indonesia, it is necessary to make Sidilearn and E-LSP applications that are built to develop employee competencies so that they are able to compete with competitors both locally and globally. Based on the results of the study and evaluation, the application requires features that include the development of a user interface / user experience, information that can be displayed on the system, individual dashboard information and configuration. The increase in both applications is intended so that both applications provide benefits for employees and the company. Therefore, in this engineering practice, the aim is to work on a project to work on the Sidilearn and E-LSP application at PT Semen Indonesia. The author's position on this project is as a project manager. The result of this engineering practice is the creation of the Sidilearn and E-LSP applications which have been applied to the PT Semen Indonesia environment for the online learning and certification process."