Innovating Packaging Design Through AI Technology, Successfully Earns Doctorate at ITS

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Dr Sutrisno ST MT saat memaparkan penelitian disertasinya tentang optimasi packaging pada Sidang Terbuka Promosi Doktor di Departemen Teknik Sistem dan Industri ITS
Dr. Sutrisno ST MT while presenting his dissertation research on packaging optimization at the Open Doctoral Promotion Session at the Department of Systems and Industrial Engineering, ITS

ITS Campus, ITS News — The Sepuluh Nopember Institute of Technology (ITS) has once again presented an artificial intelligence (AI) -based innovation . During the Open Doctoral Promotion Session at the ITS Department of Systems and Industrial Engineering (DTSI) , Dr. Sutrisno ST MT successfully initiated research on packaging optimization using AI technology.

The ITS Physics Engineering graduate revealed that the manufacturing sector is currently often challenged by time-sensitive packaging development . Dynamic consumer behavior requires companies to constantly innovate to maintain customer satisfaction. “However, there is no standard that can simplify decision-making when developing packaging ,” he said.

Furthermore, the man familiarly known as Sutrisno also revealed the lack of research correlating packaging , consumer behavior , manufacturing, and AI. Seeing this gap, he initiated research through his dissertation, entitled “Design for Increasing Packaging Value Based on Artificial Intelligence Models with Customer Behavior Considerations .”

In his research, the 1975-born man focused his studies on the food and beverage (F&B) sector. He noted that food and beverage packaging is highly complex, with a wide variety of shapes, sizes, designs, colors, and models. “F&B packaging also has a huge following,” he added.

Dr Sutrisno ST MT (tengah) bersama para promotor dan co-promotor usai Sidang Terbuka Promosi Doktor Departemen Teknik Sistem dan Industri ITS
Dr. Sutrisno ST MT (center) with promoters and co-promoters after the Open Session for Doctoral Promotion at the Department of Systems and Industrial Engineering, ITS

The initial stage of this father of two’s research began with an open-ended questionnaire to determine consumer preferences. The qualitative data obtained was then grouped using NVivo software to identify dominant patterns. This stage continued with a closed-ended questionnaire to obtain more specific results. “This is one way to ensure that the data sources are completely clear from the outset and represent consumer desires,” he explained.

Based on the data obtained, this Surabaya-based doctor used it as a reference for modeling solutions. He simulated his research with two different industrial scenarios. The middle-up manufacturing scenario and the middle-low manufacturing scenario were used to determine the reliability of the AI-based algorithm used. “I included both so that both could determine the most optimal strategic policy,” he explained.

As a result, Sutrisno’s research successfully produced a mathematical model using the AI-based Particle Swarm Optimization (PSO) algorithm. He successfully achieved a balance between the two scenarios. The middle-up scenario focused on quality and a premium product image, while the middle-low scenario focused on cost efficiency. These findings also provide a strategic solution for manufacturers to understand consumer preferences regarding packaging and optimize profits.

Through this achievement, Sutrisno’s research strengthens ITS’s contribution to supporting the Sustainable Development Goals (SDGs). This achievement covers point 9 on Industry, Innovation, and Manufacturing. This innovation is considered capable of increasing the productivity of the domestic manufacturing sector. “In the future, I want to expand into sectors beyond F&B, such as pharmaceuticals, personal care, and others,” Sutrisno concluded hopefully. (ITS Public Relations)

 

Reporter: Jecklin Chintya Galle Djami
Translator: Devinka Mutianeira

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