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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Scientific Journal of Informatics PROtek : Jurnal Ilmiah Teknik Elektro Journal of Applied Information, Communication and Technology (JAICT) CYCLOTRON Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Patria Artha Journal of Community International Journal of Research in Vocational Studies (IJRVOCAS) Scientific Journal of Informatics
Irfan Mujahidin
Politeknik Negeri Semarang
Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Advanced 3.5 GHz Microstrip Array Antenna Technology for IoT Integration and Satellite Communications in Floating Photovoltaic Energy Systems Irfan Mujahidin; Yusuf Dewantoro Herlambang; Siti Hasanah; Rizkha Ajeng Rochmatika; Roni Apriantoro
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 6 No. 2 (2026): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v6i2.540

Abstract

Floating photovoltaic (FPV) systems provide an effective approach to expanding renewable-energy generation without increasing pressure on land resources. However, remote FPV installations often face limitations in communication infrastructure, making continuous monitoring and supervisory control challenges. This study develops a 3.5 GHz 4 × 2 microstrip array antenna to support Internet of Things (IoT)-based monitoring and satellite-oriented communication for a 20 kWp FPV system at Rawa Pening, Indonesia. The antenna was designed on an FR-4 substrate and optimized using CST Studio Suite by refining the patch geometry, feed network, and element configuration. Simulation results showed resonance at 3.502 GHz, with a return loss of −36.70 dB, VSWR of 1.13, gain of 12.96 dBi, and directivity of 15.26 dBi. Prototype measurements confirmed operation at 3.5 GHz, achieving a return loss of −13.799 dB and a VSWR of 1.513, while radiation-pattern measurements demonstrated directional characteristics suitable for long-range wireless communication. The results indicate that the proposed antenna offers a compact and practical solution for transmitting FPV operational and environmental data in locations with limited terrestrial communication infrastructure. This design provides a promising foundation for reliable FPV telemetry, remote supervision, and future hybrid terrestrial–satellite communication systems.
Optimizing Fall Detection System as an Early Warning System for the Elderly to Enhance Quality of Life Sidiq Syamsul Hidayat; Fadhil; Irfan Mujahidin; Mohammad Faizin Zaini; Rahmalisa Suhartina
Scientific Journal of Informatics Vol. 11 No. 2: Regular Issue
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.3716

Abstract

Purpose: The main objective of this research is to develop a fall detection system and improve rapid emergency response or early warning systems for falls in the elderly. Methods: In this research, the waterfall method was used for image analysis to detect falls with high accuracy. We also used Raspberry Pi 3, and OpenCV3 to set up a server to receive fall detection alerts and forward them to email. Results: This system integrated a camera mounted on a Raspberry Pi 3 to continuously monitor the area captured by the camera. In the fall detection system, the results of testing with data showed that the system accuracy was 72.22%, sensitivity 72.72%, and error 27.77%. Novelty: The approach this research adopted can be used in a variety of settings, including home healthcare, elderly care facilities, or places that require safety monitoring. With this system, we hope to improve rapid response in emergency situations, thereby protecting and improving the quality of life for people in need.
Co-Authors Abu Hasan Adeguna Ridlo Pramurti Akio Kitagawa Amin Suharjono Arifuddin, Rahman Atikah Ayu Janitra Bagaskara Bagaskara Cello Flaurecita Gadis Bermana Dewi Anggraeni Dita Anies Munawwaroh Dwi Arman Prasetya Eni Dwi Wardihani Eri Eli Lavindi Erie Rosita Cendrasari Eriko Arvin Karuniawan Fadhil Fahmi Baihaqi Filda Hulwani Dewi Friska Ayu Fitrianti Sugiono Hery Setijasa Hutama Arif Bramantyo Arif Bramantyo Idhawati Hestiningsih Irrin Mirrah Luthfia Jeffri Pratama Juan Adam Alamsyah Mohammad Faizin Zaini Mohammad Khambali Muhamad Cahyo Ardi Prabowo Muhlasah Novitasari Mara Nur Adi Wibowo Pangestuningtyas Diah Larasati Putri Surya Arinda Rahmalisa Suhartina Rizkha Ajeng Rochmatika Rizkha Rochmatika Roni Apriantoro Sidiq Syamsul Hidayat Sidiq Syamsul Hidayat, Sidiq Syamsul Sindung Hadwi Widi Sasono Siti Hasanah Slamet Mulyadi Slamet Widodo Suko Tyas Pernanda Tahan Prahara Tahan Prahara Yusuf Dewantoro Herlambang Zidan Rifqi Ramadhan ‪Rio Devilito