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All Journal Journal on Education Formosa Journal of Multidisciplinary Research (FJMR) JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA) Jurnal Teknologi Komputer dan Informatika Journal of Computer Science Advancements
Nana Sujana
Politeknik Pajajaran Insan Cinta Bangsa Bandung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Journal : journal of computer science advancements

 1 
EMBEDDED SYSTEMS DESIGN FOR SMART PRODUCTS IN INDUSTRY FOUR POINT ZERO MANUFACTURING Nana Sujana; Jaden Tan; Sofia Lim
Journal of Computer Science Advancements Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i1.3391

Abstract

Industry Four Point Zero manufacturing has transformed conventional production systems into intelligent, interconnected environments in which smart products play a central role. These smart products rely heavily on embedded systems to enable sensing, real-time control, communication, and autonomous decision-making under strict industrial constraints. This study aims to examine how embedded systems design influences the performance of smart products in Industry Four Point Zero manufacturing contexts, with particular attention to design attributes that support efficiency, adaptability, and reliability. A mixed-methods research design was employed, combining quantitative analysis of survey data collected from industrial practitioners with qualitative insights derived from case-based observations in manufacturing settings. The instruments focused on key embedded system design dimensions, including modularity, real-time responsiveness, communication efficiency, and system reliability, as well as corresponding smart product performance indicators. The results reveal that embedded systems design has a significant and positive effect on smart product performance, with communication efficiency and system reliability emerging as the strongest predictors of operational efficiency and fault tolerance. The findings demonstrate that smart manufacturing effectiveness is strongly determined by device-level design decisions rather than by higher-level digital infrastructures alone. In conclusion, the study highlights embedded systems design as a strategic foundation for smart products and underscores its critical role in achieving sustainable and resilient Industry Four Point Zero manufacturing.
SMART FARMING SYSTEMS USING INTERNET OF THINGS AND WIRELESS SENSOR NETWORKS Nana Sujana; Carlos Fernandez
Journal of Computer Science Advancements Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i4.4293

Abstract

Agricultural systems increasingly face challenges related to water scarcity, climate variability, resource inefficiency, and growing demands for sustainable food production, creating an urgent need for precise and responsive farming technologies. This study aimed to evaluate the effectiveness of an integrated smart farming system using the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) for environmental monitoring, precision irrigation, resource optimization, and agricultural decision-making. A field-based experimental design was conducted across 24 agricultural plots, comprising 12 IoT–WSN-assisted plots and 12 conventionally managed control plots. Environmental sensors continuously monitored soil moisture, temperature, humidity, and microclimatic conditions, while network and agricultural performance were evaluated using communication reliability, water consumption, response time, and crop productivity indicators. Results showed that IoT–WSN-assisted management reduced irrigation water consumption by approximately 27%, improved soil moisture stability, shortened response times to environmental changes, and increased crop yields compared with conventional management. High packet delivery, network availability, and data completeness supported reliable real-time decision-making. The study concludes that smart farming effectiveness depends on an integrated sensing–communication–processing–decision–action cycle that transforms reliable field data into timely agricultural interventions, offering a scalable framework for improving resource efficiency, productivity, and sustainable agricultural management under increasingly dynamic environmental conditions worldwide.
Co-Authors Aat Ruchiat Nugraha Andri Nurdiyansah Carlos Fernandez Dematria Pringgabayu Diana Arianti Gunardi Jaden Tan Kunto Ajibroto Limbert Hutahaean Muhamad Hilmansyah Susanta Nur Azizah Rukhmana, Trisna Said Bambang Nurcahya Sepryanus Rano Putra Sofia Lim Yusnadi Yusnadi