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All Journal Jurnal Edukasi Elektro International Journal of Artificial Intelligence Research
Wibowo, Danang Arengga
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Applied of Analytical Hierarchy Process and Fuzzy Time Series in Hybrid for Optimizing Smart Vertical Farming with Multi-Variety Plants Wibowo, Danang Arengga; Sendari, Siti; Wibawa, Aji Prasetya; Wibowo, Fauzy Satrio
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.402

Abstract

Vertical Farming is a kind of modern agricultural methods, where the structure of growing racks are arranged upwards. This method aims to optimize the use of agricultural space. There are many plants, which are suitable to be planted for vertical farming, such as Strawberry, Tomatoes, Celery, Chili, Mint, Chives, Kuchay, Spinach, and Water spinach. The problem, which is studied in this paper, is how to control the environments of vertical farming with multi-variety plants. This paper proposed a hybrid method of Analytical Hierarchy Process and Fuzzy Time Series AHP-FTS, that is, plants with similar characteristics are placed at the same block area determined by the method of Analytical Hierarchy Process (AHP). Furthermore, controlling the environments regarding the needs of appropriate growing parameters for multi-variety plants, the Fuzzy Time Series (FTS) method is used. Then, time variable for activating actuators could be adjusted as a multi-control system. The effectiveness of the proposed method was evaluated with 365 record data in 12 months. The result shows that the AHP was successful to determine the multi-criteria to determine the zone and priority of plants. The second stage is that the FTS predicts the temperature to determine time variable for activating actuators, and the third stage is the implemented AHP-FTS as a hybrid system to evaluate the vertical Farming system. The results show that the proposed system works well as hybrid system of AHP-FTS
Immersive Technology-Based Adaptive Learning to Improve Academic Achievement and Interpersonal Skills in Electrical Engineering Education Adha, Hanif Rifai; Rahmawati, Yuni; Wibowo, Danang Arengga; Masyfa, Faiz Hilmawan
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.88937

Abstract

The Development of digital technology creates significant opportunities to improve the learning experience in the engineering education sector. This study investigates and analyses the impact of Augmented Reality as an immersive learning technology to improve academic achievement and interpersonal skills (collaboration and communication). A quasi-experimental design was used to compare the influence of AR-based learning with conventional learning systems in two classes of 60 students. Pre-test and post-test results showed significant improvement in the experimental class, with paired t-tests showing mean differences of -31.20 (t = -20.75, p < 0.001) and -18.76 (t = -13.67, p < 0.001) for the control class. A greater improvement in collaboration and communication skills was observed in the experimental class compared to the control class. The t-test independently revealed significant differences in collaboration skills (t = 4.92, p < 0.000) and communication skills (t = 2.71, p < 0.000). AR provides a more interactive learning experience, improving teamwork and effective communication. These results demonstrate that AR has significant potential in enhancing academic capabilities and 21st-century skills in engineering education.
Co-Authors Adha, Hanif Rifai Aji Prasetya Wibawa Masyfa, Faiz Hilmawan Siti Sendari Wibowo, Fauzy Satrio Yuni Rahmawati