In today’s manufacturing environment, production performance is no longer driven solely by output volume, but by how effectively data is monitored, analyzed, and utilized in real time. Many manufacturing companies still face challenges such as fragmented production data, delayed issue detection, and limited visibility across production lines and shifts.
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On Thursday, July 17, 2025, PT Electrindo Inti Dinamika had the opportunity to attend a seminar themed “Improving Cybersecurity Resilience in Manufacturing Transformation” organized by PT Alvasta Teknologi. The event focused on introducing various technological products that support cybersecurity resilience in the manufacturing sector, particularly network devices such as switches and routers that feature high physical durability and are capable of supporting secure and reliable communication systems. These products are designed to help companies address increasingly complex cyber threats, especially during the digital transformation phase of the manufacturing industry.
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In the manufacturing industry, energy consumption is one of the largest cost components after materials and labor. Electricity, air, gas, and CO2 emissions are important parameters that need to be well controlled to maintain operational cost efficiency while supporting the achievement of corporate sustainability targets. However, many factories are still manually recording energy, which is not only time consuming but also prone to human error. Currently, the development of IoT based technology and smart energy monitoring is an effective solution to answer these challenges.
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PT Electrindo Inti Dinamika collaborated with OMRON Indonesia in a knowledge sharing session with PT Astra Honda Motor (AHM) held on May 30, 2025 at OMRON Manufacturing Indonesia, Cikarang. The event discussed the introduction of the latest AI FH Vision System technology. AI FH Vision System is an Artificial Intelligence (AI) based production inspection camera technology designed to read and identify product quality automatically. This technology is here to improve the accuracy and speed of the quality control process in an industrial environment.
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Facing the challenge of finding a parking space somewhere, seeing available parking areas, and monitoring how long the parking duration will be easier with the Smart Parking application. The parking system created by PT Electrindo Inti Dinamika offers features to assist users in booking parking spaces online, monitoring parking duration, viewing empty parking areas, and getting notifications about the remaining reserved parking time.
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In an increasingly advanced industrial era, speed and accuracy in the production process are very important. Smart Quality Check comes as a solution to assist in checking the machine unit before it becomes a unit. With AI camera technology, this system automatically and quickly detects whether the unit meets the predetermined parameters or not, such as lights, stickers, defects, or other important elements.
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PT Electrindo Inti Dinamika has been officially licensed to integrate applications into Omron products. This strengthens our commitment to providing innovative and efficient technology solutions for the manufacturing and automation industries.
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Along with the development of industry 4.0, digitalization is key to improving efficiency and quality. With digitalization, production processes that used to require manual supervision can be monitored and managed in real-time through system-based data.
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The manufacturing world has very complex data, which is the key to staying competitive. Smart Data Manufactur is an advanced information system that is a breakthrough to renew the monitoring of production processes to be more efficient and user-friendly. Smart Data Manufactur helps in gaining full control of machine conditions, energy utilization, and field supervision directly in an application that is easy to use and understand.
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During the production process, the existence of work tools such as tools, holders, and various supporting accessories is an important part in maintaining the quality of results and the efficiency of working time. However, in many industries, the process of recording, tracking, and maintaining tools is still done manually or not integrated. As a result, the potential for recording errors, loss, and the use of tools that are no longer suitable for use or damaged is common, and can even have a direct impact on production losses.
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