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All Journal International Journal of Applied Sciences and Smart Technologies Internet of Things and Artificial Intelligence Journal
Lukiyanto, Yohanes Baptista
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Clean Energy Innovation in Campus Environment with Small-Scale Wind Power Plants Integrated with IoT artanto, dian; sutyasadi, petrus; Lukiyanto, Yohanes Baptista; Subanar, Gregorius Budi; Anurogo, Baskoro Latu; Halim, Enrico; Indratma, Samuel
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.881

Abstract

Universities as innovation centers have a strategic role in driving the clean energy transition through the implementation of small-scale wind power plants integrated with IoT. This article analyzes the potential of wind power technology in campus environments, which have an average low wind speed (3–5 m/s) through Savonius-type vertical axis turbines equipped with IoT modules for real-time monitoring of wind speed, wind direction, electrical energy production, and battery status. The results show that this technology is capable of producing 100–200 W of power with a wind energy conversion efficiency to electrical energy of up to 20-30%. The implementation of this technology not only increases energy independence but also becomes a renewable energy education platform for students. Multidisciplinary collaboration between the fields of electrical engineering, mechanical engineering, and informatics engineering is the key to system optimization, while green campus policies can accelerate the adoption of this technology nationally.
The Effect of Flexible Resin and Standard Resins Mixtures Variations on Dimensional Accuracy Using SLA 3D Printing Dyaksa, Gilang Argya; Aji Nugraha, Felix Krisna; Astyanto, Achilleus Hermawan; Mardikus, Stefan; Seen, Michael; Rines, Rines; Lukiyanto, Yohanes Baptista; Purwadianto, Doddy; Winarbawa, Heryoga; Kusbandono, Wibowo; Sugiharto, Budi; Hermawan, Oktavianus Nekson; Putra, Mahendra Pratama
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.12272

Abstract

The present study investigates the effect of the concentration of flexible resin on the dimensional accuracy of mixtures product manufactured by 3D printing using SLA technology. Specimens were designed and according to the ASTM D412 standard. Ten variations of resin mixtures were examined. The concentrations of the flexible resins were varied from 10% to 100%. Measurements of accuracy dimension were conducted on the fabricated specimens, and the average deviation was used to estimate the dimensional accuracy. The study reveals the least deviation in dimensions in the 10% flexible resin containing mixture and the highest in the 60% flexible resin containing mixture. The results explain the fabrication tendency of flexible resins in dimensional accuracy for 3D printing.
Co-Authors Achilleus Hermawan Astyanto Aji Nugraha, Felix Krisna Anurogo, Baskoro Latu Budi Sugiharto Dian Artanto Doddy Purwadianto Gilang Argya Dyaksa Gregorius Budi Subanar Halim, Enrico Hermawan, Oktavianus Nekson Heryoga Winarbawa Indratma, Samuel Petrus Sutyasadi Putra, Mahendra Pratama Rines, Rines Seen, Michael Stefan Mardikus Wibowo Kusbandono