19507334023_NURISMA Z.D._PPT P PRADANA.pptx
- 2. PPT LINE 01 02 03 Network Monitoring Dashboard Data Platform IoT Course Udemy - Telkomsel
- 3. Our Team Layout VIP TOOLS DEVELOPMENT INTERN Industrial IoT Product & Development D4 Teknik Elektronika Jurusan Pendidikan Teknik Elektronika dan Informatika Fakultas Teknik UNIVERSITAS NEGERI YOGYAKARTA VIP TOOLS DEVELOPMENT D4 Teknik Elektronika Jurusan Pendidikan Teknik Elektronika dan Informatika Fakultas Teknik UNIVERSITAS NEGERI YOGYAKARTA NURISMA ZENITA DEWI NILAM ANDI SAFITRI
- 5. Network Monitoring Dashboard The network monitoring dashboard is one of the most important aspects of a network monitoring solution. The das hboard is the visual representation of your networks performance and will be the screen your network team sees most often. While it may seem like a benign factor, the dashboard of a network monitoring solution can be a major factor in providing a solid user experience.
- 6. Plot Monitoring Dashboard Menyusun Database menggunakan hosting Konfigurasi Database menggunaka n figma Melakukan Prototyping Finishing Mengumpulkan Database Plan Monitoring Database ke dashboard
- 8. Login Page
- 9. DASHBOARD
- 10. LIK BUGANGAN KI BATANG KI BUKIT SEMARANG BARU KI CANDI
- 11. KI KENDAL KI SAYUNG KI SINAR SENTRA CIPTA KI TAMBAK AJI
- 12. 12 12 Consultation Designing Device + Software System Integration Analytics Cyber Security Connectivity Account Management Billing After Sales Service Processes, Peoples and Machines are connected to improve efficiency High levels of automation to increase uptime and productivity Configurable factory layout and implementation of product change in real-time Visibility across all operation to allow real-time decision making Connectivity Optimization Agility Transparency Proactive Automated restocking, fault detection, and safety monitoring Starting with data acquisition phase: from paper to paperless, manual to automation Diagnostic Descriptive Predictive Prescriptive Stage and Key Factor of Industry 4.0 Step 1 : What is happening? Data acquisition Implementing MES KPI : Advance OEE scoring (provide symptom & root cause to prepare for maintenance) Descriptive Capability Step 2: Why is it happening? Patterns and transparency Data analysis From information to knowledge/insight Diagnostic Capability Advance maintenance based on OEE insight: scheduled maintenance, preventive maintenance, continuous base monitoring (based on formula algorithm) Step 3: What will happen? From knowledge to forecast Preparation Predictive capability Step 4: Autonomous Action? Autonomous action and machines Self-optimizing system From forecast to pro- action Prescriptive Capability FIND IT FIX IT UNDERSTAND IT AUTOMATE IT Smart Factory Goals
- 13. 3 Manufacturing usecases Automated guidedvehicles (AGVs) Trackingand logistics Inventory management Data shower Collaborative robotics Remoteguidance Process monitoring Audio/video comm(AR/VR) Precise positioning Digital twin Lost and found Augmented Reality Maintenance Augmented operator advisor for maintenance activity & Digital SOP, Realtime monitoring Data Platform & Smart Dashboard Industrial data platform & reporting dashboard Digital QC Inspection Computer Vision Inspection and Quality Control Automated Guided Vehicles (AGVs) Finished Goods & Material handling Collaborative Robot Industrial robot to handle material Virtual Reality Learning Management System VR Technology for Industrialization and Training OEE Analytics OEE with analytics data recommendation Manufacturing Execution System Production Performance, Quality Performance, Traceability, Production Planning, eKanban Predictive Maintenance Recommendation prediction and insight to prevent incident outage Asset Performance Management Asset condition monitoring and performance Computerized Maintenance Management System Work Order, Spare Part Management, Reactive Maintenance/Preventive Maintenance Management Digital Smart Warehouse Inventory, put away, auto picking, replenishment Use cases ENVION Telkomsel IOT Energy Visibility Solution to monitor energy usage and performance Cybersecurity adds an extra layer of complexity as the cyber and the physical worlds converge
- 14. Vendors/ Subcontractors Manufacturing Sites/ Production Line FG Warehouses/ Distribution Centers Distributors/ Regional Warehouses Retailers, Outlets, Marketplace Omni Customers RM Warehouse/ Part Preparation - Warehouse Inbound/outbound Management (Put away, picking, replenishment) - Automatic Guided Vehicle - RFID traceability - Pallet / Rack Kanban Management - Predictive Analytics IOT-based Shopfloor control : - Production control & monitoring - Overall Equipment Efficiency - computer vision - Manufacturing execution system - Energy Management - Smart AGV + Smart Connectivity *5G - Data Platform- (with BI & AI) - Connected AR IOT enabled Order Management : - Automated dispatch & delivery - Geo-analytics optimization - Route generation & optimization - Network optimization - Matrix allocation - Order status monitoring IOT-based asset monitoring: Location tracking Assets/vehicle utilization Safety driving Point of interest management Asset monitoring Maintenance scheduling Last Mile Inbound Outbound Reliable and secure cloud-based solution for IoT device management - High-reliability managed connectivity services - Simultaneously manage all business locations with Zero Touch Provisioning End to end supply chain, require visibility at every stage within value chain, for better performance and decision making. Workforce 4.0 - VR for Training - Worker load analysis - Asset Tracker including Worker behavior Industrial Cybersecurity - Assessment IT/OT Level - Implementation Solution / Services (Architecture, Technology)
- 15. Vertical Integration Integration between all department solution is one of added value from implementing Industry 4.0. we must able to identify smart manufacturing solution that can bring more productivity, efficiency and sustainability on manufacturing value chain. IoT Smart Manufacturing
- 16. 6 DATA PLATFORM In Smart Factory
- 17. Video Surveillance & Analytics
- 19. Cloud Robotics & Process Automation
- 20. Telkomsel Dashboard Enterprise - UDEMY
- 21. Learn Figma - UI/UX Design Essential Train ing ( Pelatihan Esensial Desain UI/UX ) 1. Introduce the figma Interface 2. Setting up project ( menyiapkan proyek ) 3. Menambahkan konten 4. Menyelesaikan desain aplikasi kami 5. Membuat prototipe membagikan desain
- 22. Web Design for Beginners: Real World Coding in HTML & CSS (Desain Web untuk Pemula: Pengodean Dunia Nyata dalam HTML & CSS ) HTML adalah kerangka yang membentuk dan mengatur bagaimana sebuah halaman web akan ditampilkan di browser. Untuk membentuk dan mengatur halaman tersebut kita menggunakan markah / tanda atau lebih umum disebut tag. Tag HTML mempunyai tag pembuka dan penutup. Tag pembuka menggunakan simbol kecil dari (<) dan besar dari (>), begitupun dengan tag penutup, hanya saja untuk tag penutup di tambahkan slash (/). Contoh : Namun ada beberapa tag khusus yang tidak membutuhkan tag penutup. Contoh : Pada contoh di atas anda bisa melihat sedikit perbedaan tag HTML contoh sebelumnya. Itulah yang disebut dengan attribute tag HTML . Penjelasan : img dan input : tag HTML src dan type : attribute tag 'gambar.png' dan 'text' : value dari attibute
- 23. SQL for Beginners: Learn SQL using MySQL and Database Desig n (Belajar SQL menggunakan MySQL dan Desain Database ) SQL adalah sebuah bahasa yang digunakan untuk mengakses data dalam basis data relasional. Bahasa ini secara de- facto merupakan bahasa standar yang digunakan dalam manajemen basis data relasional. Saat ini hampir semua server basis data yang ada mendukung bahasa ini untuk melakukan manajemen datanya.
- 24. Telkomsel IoT Enterprise - UDEMY
- 25. Udemy -Internet of Things Business Impact Kehebohan jangka pendek atau pengembangan jangka Panjang ? Firma riset Gartner menyusun apa yang disebut siklus sensasi Gartner dari tekhnologi yang muncul setiap tahun. Animasi berikut menunjukkan bahwa Internet of Things muncul pertama kali pada tahun 2011 dan terdaftar dalam apa yang disebut sebagai puncak ekspetasi yang meningkat pada tahun 2015
- 26. IoT Market Segments Contoh pertama dari Machina Research menggambarkan bahwa banyak segment yang saling tumpeng tindih dalam satu atau lebih aplikasi. Seperti mobil terhubung yang berbagai topik seperti Layanan darurat atau Manajemen armada jalan misalnya perusahaan logistic yang mengola armada truk
- 27. IoT Market Segments Contoh yang lain menambahkan aspek untuk membedakan dua jenis pelanggan Menghadap ke konsumen IoT2C atau B2C dan Menghadap bisnis IoT2B atau hanya B2B
- 28. Thank you
Editor's Notes
- #26: Lebih specific terhadap smart manufaktur, ada beberapa use cases yang saat ini sudah mulai diterapkan di dalam industry, masing-masing dengan cost benefit bergantung pada karakteristik manufaktur itu sendiri serta setting prioritas nya.