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All Journal Majalah Ilmiah Teknologi Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Jurnal Terapan Abdimas Jurnal Elektronika dan Telekomunikasi JURNAL PERTANIAN TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Majalah Ilmiah UNIKOM EDUKATIF : JURNAL ILMU PENDIDIKAN Journal of Robotics and Control (JRC) International Journal of Electronics and Communications Systems IJCOSIN : Indonesian Journal of Community Service and Innovation Majalah Ilmiah Teknologi Elektro
Budi Herdiana
Universitas Komputer Indonesia (UNIKOM)
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Veterinary Other

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Journal : Journal of Robotics and Control (JRC)

 1 
Automatic Detection System Satellite Orbit Position with a Method of Control Azimuth and Elevation Angles Parabolic Antenna Budi Herdiana; Deddy Gunawan
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.26131

Abstract

The automatic system satellite signal strength tracking model through the positioning of the receiving antenna is one way to reduce the problem of attenuation and signal strength instability which is quite influential in tracking the satellite orbit position. The method of applying the antenna movement technique by adjusting the azimuth and elevation angles is possible to detect the position of the satellite orbit trajectory accurately. Therefore, the expected goal is to know the existence of the satellite's orbital trajectory and ensure that the signal strength it transmits will always be stable in all conditions. The empirical quantitative method is used to support the achievement of these objectives where the technique is carried out through field observations and device design involving calculations and applied mathematical equations based on information on satellite position data as a tracking object as well as a source of signal strength. Based on the test results, it shows that all the positions of the tracked satellite orbital trajectories produce a minimum and maximum azimuth-elevation angle of 0.52% - 4.02% and 0.25% - 3.99% when the system detects NSS6. Furthermore, when the system detects Palapa D, the minimum values for the percentage of maximum deviation error are 0.6% and 4.67% with a tolerance of the alignment angle to the satellite of 20. Overall, the designed system is able to track the position of the satellite's orbit path based on the level of signal strength stability on the parabolic receiver antenna which is designed with a small percentage of angle error.
Autonomous Nutrient Controller System for Hydroponic Honey Melon Based on the Integration of Artificial Intelligence Algorithms According to Planting Time Herdiana, Budi; Utama, Jana; Sutono, Sutono; Adhari, Febryan Rizky; Henrikus, Yansen
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The honeydew melon cultivation model using the hydroponic greenhouse method has been widely applied due to its ease in controlling nutrients and the environment. However, complaints from farmers regarding the inaccuracy of nutrient levels and the dynamic environmental changes, that hinder plant growth and fruit quality, have surfaced. The development of autonomous control technology is crucial as a strategic solution to this issue since the quality of honeydew melon management lies in achieving precise and accurate nutrient levels. On the other hand, managing standardized nutrient composition often becomes a challenge for farmers as the needs constantly change over time. Conventional systems are not yet capable of accurately measuring nutrient levels in line with the plant’s growth stages. According to the objectives of this study, which is to improve the productivity and quality of honeydew melons based on the increase in the sweetness index, the development of an autonomous nutrient control system is proposed. This system integrates artificial intelligence algorithms, namely CNN and Fuzzy Logic, to process plant height image data and multisensor data for system control processes. The research findings that applying this integrated technique has resulted in a sweetness increase of 11.7%, or from the previous value of 15 brix to 17 brix. Even a one-point increase in the brix value leads to a sugar increase of 1 gram per 100 gram of liquid content in the fruit, contributing significantly to the market value. These results indicate that AI-supported agricultural management can be realized in future modern farming practices.
Co-Authors Adhari , Febryan Adhari, Febryan Rizky Bobi Kurniawan, Bobi Budi Hartono Deddy Gunawan Eko Budi Setiawan Henrikus, Yansen Heroe Wijanto Ipan Diana Iswahyudi Hidayat Ivany Sarief, Ivany Jana Utama, Jana Muhammad Aria Rajasa Pohan Muhammad Aria, Muhammad Muhammad Habibi Barkatulah Samosir, Fajar Petrus Apris SARTOYO, USMAN Sopian Alviana Sri Supatmi Sri Supatmi Sutono Sutono Tri Rahajoeningroem Tri Rahajoeningroem Valdyna Aditiya Yudha Eko Bimantoro ZAINAL MUTAQIN