Proceeding of The International Conference on Natural Sciences, Mathematics, Applications, Research, and Technology

The Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Sam Ratulangi (UNSRAT) Manado, in collaboration with the Graduate School of Environment and Information Sciences, Yokohama National University Japan, Prince of Songkla University Thailand, Faculty of Applied Science and Technology, Universiti Tun Hussein Onn Malaysia, FMIPA Universitas Negeri Gorontalo, FMIPA Universitas Hasanuddin Makassar, FMIPA Universitas Tadulako Palu, FMIPA Universitas Halu Oleo Kendari, FMIPA Universitas Udayana, FMIPA Universitas Mataram, FMIPA Universitas Pendidikan Ganesha, Politeknik Energi dan Mineral Akamigas Blora, and Universitas Ma Chung Malang, is pleased to welcome you to the 4th International Conference On Natural Sciences, Mathematics, Applications, Research, and Technology (ICON-SMART). This year, the conference will be held as a hybrid conference again, by which attendees can attend the conference virtually from anywhere or visit the physical venue on-site at Universitas Sam Ratulangi, Manado, on 21-22 September 2023. The opening ceremony will be conducted in Auditorium and parallel classes will be organized in nearby classrooms. 
   ICON-SMART is an annual event. It provides a platform to researchers, academicians, professionals, educators, and industries to share and generate interests in cutting-edge research, applications, education, and technology in the related areas of the theme:
   
Data Optimization for Instrumentation Physics, Food Security, and Energy Sustainability. How About AI?
   
    After Covid-10 pandemic, food security remains important due to disruptions in global food supply chains and increased vulnerability of populations. Ensuring access to affordable and nutritious food is crucial for recovery, resilience, and social stability. On the other side, energy sustainability is essential to mitigate environmental impacts, promote economic growth, and enhance resilience. Transitioning to sustainable energy sources reduces reliance on finite resources, improves energy security, and contributes to a healthier and more prosperous future. For these two related issues, data optimization is needed for food security and energy sustainability because it enables informed decision-making and efficient resource allocation. By leveraging data analytics and technology, we can enhance agricultural productivity, minimize food waste, and optimize energy usage, leading to more resilient and sustainable food systems. Lately, the development of Artificial Intelligence (AI) is breath taking. But how can we use AI for this problem? This motivated us in choosing the theme.