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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Journal of Energy and Electrical Engineering (JEEE) Electron: Jurnal Ilmiah Teknik Elektro
Rian Nurdiansyah
Universitas Siliwangi
Religion Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Social Sciences

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PENENTUAN KUANTITAS PAKAN IKAN BERBASIS FUZZY LOGIC Imam Taufiqurrahman; Rian Nurdiansyah; Muhammad Aris Risnandar; Andri Ulus Rahayu; Linda Faridah
Journal of Energy and Electrical Engineering (JEEE) Vol 4, No 2: 13 April 2023
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v4i2.6882

Abstract

Perkembangan teknologi dalam bidang perikanan berhasil menghasilkan alat pemberi pakan otomatis yang mampu memberikan kemudahan dalam mengatur waktu dan durasi pemberian pakan. Namun perkembangan ini masih bisa ditingkatkan dengan memperhatikan tingkat pemberian pakan/ feeding rate (FR) di suatu kolam budidaya ikan agar pemberian pakan optimal dan tidak berlebihan. Penentuan FR ini pada prakteknya dipengaruhi oleh beberapa faktor seperti berat atau umur ikan, banyaknya oksigen terlarut dalam air, suhu air dan tingkat kejernihan (turbidity) air. Untuk memperhitungkan pengaruh faktor-faktor tersebut terhadap FR dari alar pemberi pakan otomatis akan digunakan metode fuzzy logic sehingga bisa didapatkan nilai optimal pemberian pakan berdasar pertimbangan faktor-faktor tersebut. Dalam penelitian ini akan dilakukan simulasi penerapan sistem penentuan penyesuaian nilai FR dengan memperharikan faktor-faktor tersebut menggunakan aplikasi MATLAB.
IoT Application in a Vision-Based Security System at the At-Taqwa Mosque in Cijulang Nurul Hiron; Rian Nurdiansyah; M.Aris Risnandar; Andri Ulus R; Helmy Dzulfikar; Aldy Putra Aldya
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2025): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v8i1.5564

Abstract

The use of Internet of Things (IoT) technology has become a trend in various areas of life. In the context of security and monitoring, IoT applications can provide innovative solutions to improve monitoring and protection. This community service program aims to apply the IoT concept in a vision-based security system at the At-Taqwa Cijulang Mosque. Through the integration of sensors and vision devices connected to an IoT network, this program proposes a more effective and efficient solution for monitoring mosque security. Motion and presence sensors will be installed to detect suspicious activity and manage the environment within the mosque. The vision-based security system will use cameras connected to an IoT network to monitor and identify people and activities occurring in the mosque area. In addition, a mobile application will be developed to provide real-time monitoring access to mosque administrators and the local community. The results of the service showed increased security in the environment around the mosque as well as increased awareness of security in the community around the At-Taqwa Cijulang Mosque.
Filter Hybrid Double-Tuned dan High-Pass untuk Mitigasi Harmonisa pada Sistem HVAC Inverter Mochamad Irlan Malik; Yuda Muhammad Hamdani; Rian Nurdiansyah; Linda Faridah; Nurmela
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.387

Abstract

Inverter-based Heating, Ventilation, and Air Conditioning (HVAC) systems are increasingly utilized in industrial settings for their superior energy efficiency and controllability. Despite these advantages, nonlinear switching in inverters generates significant harmonic distortion, particularly at lower-order frequencies such as the 3rd and 5th, which can compromise power quality, reduce system lifespan, and lead to non-compliance with regulatory standards. This study proposes a hybrid passive filter solution—combining a Double Tuned Filter (DTF) and a High Pass Filter (HPF)—to mitigate harmonic distortion in an industrial HVAC system. Field data collected using a Power Quality Analyzer (PQA) revealed a 3rd-order Individual Harmonic Distortion of Current (IHDi) of 12.9%, far exceeding the 4.0% threshold specified in IEEE 519:2022. The hybrid filter was analytically designed and validated through MATLAB/Simulink simulation. Post-simulation results demonstrated effective mitigation of Total Harmonic Distortion (THD) to 3.45%, with the 3rd-order IHDi mitigated to 3.42%, achieving full compliance with IEEE 519:2022. Furthermore, the hybrid filter preserved voltage waveform quality and suppressed high-order harmonics without incurring additional energy losses or resonance issues. The combination of DTF and HPF offers wide-spectrum harmonic mitigation and enhanced power system stability. This solution is well-suited for high-load, scalable infrastructures aligned with Industry 4.0 requirements. The study concludes that passive hybrid filters are a reliable and cost-effective strategy for harmonic suppression, and future work should explore real-time adaptive control and hybrid active-passive configurations for enhanced dynamic performance
Co-Authors Aldy Putra Aldya Andri Ulus R Andri Ulus Rahayu Faridah, Linda Helmy Dzulfikar Imam Taufiqurrahman M.Aris Risnandar Mochamad Irlan Malik Muhammad Aris Risnandar Nurmela Nurul Hiron Yuda Muhammad Hamdani