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Implementasi Budidaya Lobster dengan Sistem Pertanian Akuaponik Berbasis IoT (Internet of Things) Irfan Mirda; Handrio; Bagus Wahyu Pratomo; Melvi; Ardian Ulvan; Aryanto
E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Vol. 3 No. 1 (2022): E-JOINT, Juni 2022
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/e-joint.v3i1.1573

Perubahan iklim, kepadatan penduduk, dan kegiatanekspor-impor yang tidak stabil menyebabkan dampak yang cukup serius bagi masyarakat terutama Provinsi Lampung. Hal ini berdampak pada kegiatan usaha terutama dibidang pertanian dan kelautan. Banyak warga yang mata pencahariannya terganggu terutama petani. Petani sangat merasakan kesulitan disamping harga produksi yang naik dan modal produksi yangmeningkat. Dengan adanya hal ini tentunya sangat dibutuhkan suatu inovasi yang memungkinkan petani tetap memiliki penghasilan walau kekurangan lahan. Oleh karena itu, penulis melakukan suatu inovasi dengan membuat sistem pertanian akuaponik yang didukung oleh suatu aplikasi monitoring berbasisIoT (Internet of Things) yang diberi nama lobsternik.id. Sistem akuaponik yang dikembangkan yaitu dengan budidaya lobster dan tanaman. Aplikasi ini akan sangat membantu masyarakat pembudidaya dalam mengawasi dan menjaga tanaman serta lobster secara real-time sehingga didapatkan hasil tanaman danlobster yang maksimal dan berkualitas. Dengan inovasi ini diharapkan masyarakat Lampung dapat memanfaatkan potensi untuk meningkatkan ekonomi terutama diera teknologi. Programini memfokuskan kajian tentang apakah lobsternik.id dapat digunakan dalam membantu penerapan konsep tanam akuaponik, dan bagaimana penerapan sistem kerja akuaponik dengan bantuan aplikasi lobsternik.id. Program ini akan memfokuskan kepada pembuatan aplikasi dan pengimplementasiannya terhadap masyarakat. Hal ini agar aplikasi dapat berguna dan membantu masyarakat dalam meningkatkan perekonomiannya. Kombinasi implementasidengan teknologi berbasis IoT (Internet of Things) diharapkan dapat berhasil dan bermanfaat bagi masyarakat terutama Provinsi Lampung

Perancangan Antena Yagi Gain Tinggi Pada Ground Control Station Wahana Udara Nirawak Melvi Melvi; Nur Fadillah; Yetti Yuniati; Aryanto Aryanto; Nora Aditiyan; Cahyo Mustiko Okta Muvianto; Ardian Ulvan
Jurnal Rekayasa Elektrika Vol 16, No 3 (2020)
Publisher : Universitas Syiah Kuala

The uncrewed Aerial Vehicle (UAV) operation is currently dominated by autonomous technology (autopilot) rather than manual control via remote control. During flying the mission autonomously, communication between the UAV and the Ground Control Station (GCS) must be in good and stable conditions. The GCS can well receive the telemetry data and payload sensor data carried by the vehicle. Conversely, any inconsistency parameters can be corrected by the GCS before transmitted to the UAV. Therefore, the role of the antenna is crucial to avoid signal loss during the communication process. This study focuses on GCS’s antenna. By designing the Yagi type antenna with the optimization of the distance, the number of directors, material, and shape of the reflector through CST simulation. The best option chosen is the Yagi antenna with the same distance between directors, seven directors, copper material, and flat reflectors with a VSWR of 1.1134, return loss -25.411 dB and 10.7 dB of gain. The measurement result after fabrication is the VSWR of 2.165 and the return loss of -8.677 dB. The antenna test results, when the UAV was flown as far as 2.5 km, found that the signal strength received by the GCS is -70.68 dBm with RSSI 107, and the signal strength in percent is 96%.

Sistem Peringatan Dini Untuk Pengendalian Pembatasan Jarak Fisik Dengan Metode RSSI Menggunakan Modul Wemos D1 Mini Noni Mastiana; Ardian Ulvan; Melvi Ulvan
Jurnal Rekayasa Elektrika Vol 17, No 4 (2021)
Publisher : Universitas Syiah Kuala

Covid-19 was first reported in Indonesia in March 2020. A month later the confirmed cases had reached 1528 cases and the death toll was 136 cases. Distance restrictions, also known as physical and social distance, are one of the government's efforts to reduce the rate of increase in the number of positive Covid-19 patients. However, this policy is still not fully effective, due to the low level of community compliance. When personal awareness has not been awakened, the use of technology in the context of early warning to maintain distance is an effective solution. This article discusses the use of received signal strength indicator (RSSI) from the Wemos D1 Mini module as a model of an early warning system device to anticipate unsafe distances when someone is in a crowd. The use of RSSI in this study shows that the device made works well, where the alarm is active when the distance between devices is 1 meter. The system performance was analyzed by calculating and measuring the average RSSI error value of -34.46 dBm and the average distance error of 0.26 meters. Overall, the early warning system using this method can be used properly to estimate physical distance restrictions during a pandemic.

Perancangan Antena Yagi Gain Tinggi Pada Ground Control Station Wahana Udara Nirawak Melvi Melvi; Nur Fadillah; Yetti Yuniati; Aryanto Aryanto; Nora Aditiyan; Cahyo Mustiko Okta Muvianto; Ardian Ulvan
Jurnal Rekayasa Elektrika Vol 16, No 3 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i3.18682

The uncrewed Aerial Vehicle (UAV) operation is currently dominated by autonomous technology (autopilot) rather than manual control via remote control. During flying the mission autonomously, communication between the UAV and the Ground Control Station (GCS) must be in good and stable conditions. The GCS can well receive the telemetry data and payload sensor data carried by the vehicle. Conversely, any inconsistency parameters can be corrected by the GCS before transmitted to the UAV. Therefore, the role of the antenna is crucial to avoid signal loss during the communication process. This study focuses on GCS’s antenna. By designing the Yagi type antenna with the optimization of the distance, the number of directors, material, and shape of the reflector through CST simulation. The best option chosen is the Yagi antenna with the same distance between directors, seven directors, copper material, and flat reflectors with a VSWR of 1.1134, return loss -25.411 dB and 10.7 dB of gain. The measurement result after fabrication is the VSWR of 2.165 and the return loss of -8.677 dB. The antenna test results, when the UAV was flown as far as 2.5 km, found that the signal strength received by the GCS is -70.68 dBm with RSSI 107, and the signal strength in percent is 96%.

Sistem Peringatan Dini Untuk Pengendalian Pembatasan Jarak Fisik Dengan Metode RSSI Menggunakan Modul Wemos D1 Mini Noni Mastiana; Ardian Ulvan; Melvi Ulvan
Jurnal Rekayasa Elektrika Vol 17, No 4 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i4.21650

Covid-19 was first reported in Indonesia in March 2020. A month later the confirmed cases had reached 1528 cases and the death toll was 136 cases. Distance restrictions, also known as physical and social distance, are one of the government's efforts to reduce the rate of increase in the number of positive Covid-19 patients. However, this policy is still not fully effective, due to the low level of community compliance. When personal awareness has not been awakened, the use of technology in the context of early warning to maintain distance is an effective solution. This article discusses the use of received signal strength indicator (RSSI) from the Wemos D1 Mini module as a model of an early warning system device to anticipate unsafe distances when someone is in a crowd. The use of RSSI in this study shows that the device made works well, where the alarm is active when the distance between devices is 1 meter. The system performance was analyzed by calculating and measuring the average RSSI error value of -34.46 dBm and the average distance error of 0.26 meters. Overall, the early warning system using this method can be used properly to estimate physical distance restrictions during a pandemic.

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