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Pengembangan Sistem Pemantauan Dan Pengendalian Daya Listrik Penyewa Kos Berbasis Lora Dengan Integrasi Android Putri, Khomala Ernia; Yenniwarti Rafsyam; Benny Nixon; Putri, Khomala; Molliyana Tota Angelica; Rifqi Fuadi Hasani; Shita Fitria Nurjihan; Irwan Prasetya
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 4: Agustus 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.124

Abstract

Pengelolaan daya listrik di kamar kos sering kali menimbulkan ketidakadilan karena biaya listrik disamaratakan, meski pemakaian berbeda. Untuk mengatasi masalah ini, dirancang sebuah sistem pemantauan daya listrik dengan teknologi LoRa. Sistem ini memanfaatkan mikrokontroler ESP32, sensor PZEM-004T, LoRa, dan Arduino IDE. Data penggunaan daya listrik yang dikumpulkan oleh sensor dikirim ke pemilik kos melalui jaringan LoRa. Data penggunaan daya listrik dikirim melalui jaringan LoRa hingga 150 meter (RSSI -107 dBm) dalam kondisi NON-LOS dan 600 meter (RSSI -111 dBm) dalam kondisi LOS, kemudian diintegrasikan ke aplikasi Android untuk pengelolaan dan pemantauan daya listrik. Hasil pengujian menunjukkan akurasi 99%, menjadikan sistem ini solusi efektif dan efisien untuk pengelolaan daya listrik di kamar kos.   Abstract Electricity management in boarding rooms is often unfair because electricity costs are shared equally, even though each room uses different amounts of electricity. To address this issue, an electricity monitoring system was developed using LoRa technology. The system uses an ESP32 microcontroller, a PZEM-004T sensor, LoRa, and Arduino IDE. The sensor collects electricity usage data and sends it to the landlord via the LoRa network. This data can be transmitted up to 150 meters (RSSI -107 dBm) in NON-LOS conditions and 600 meters (RSSI -111 dBm) in LOS conditions. The system is also integrated with an Android application for easier management and monitoring. Testing results show an accuracy of 99%, making this system an effective and efficient solution for managing electricity in boarding rooms.
Perancangan Antena Mikrostrip Rectangular Crab Patch sebagai Antena Eksternal Penerima Sinyal 4G Frekuensi 2,3 GHz Suryani, Mary Alysia; Diwyacitta, Branita Adwitiya; Rafsyam, Yenniwarti
Spektral Vol. 6 No. 2 (2025): Oktober 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i2.7920

Abstract

Wireless 4G communication has become an essential part of supporting daily digital services such as internet browsing, video streaming, and low-latency applications. However, 4G signal reception often faces degradation in various locations, particularly in remote areas or inside buildings with structural barriers. One effective solution to enhance signal reception is the use of a microstrip antenna, which offers advantages such as a simple design, compact size, and low manufacturing cost. This study presents the design of a rectangular crab patch microstrip antenna for 4G signal reception operating at a frequency of 2.3 GHz. The antenna was designed with a patch size of 15.5 mm, an inter-element spacing of 62.5 mm, a dielectric constant (εr) of 4.3, and a substrate thickness (h) of 1.6 mm. The simulation results show that the antenna achieved an S₁₁ of –46.26 dB, a VSWR of 1.009, and a gain of 3.53 dB. Overall, the antenna meets the expected performance criteria and is suitable for effective 4G signal reception.
YOLOv8-Based Detection of Convective Storm Clouds for Cumulonimbus Classification Rafsyam, Yenniwarti; Nurjihan, Shita Fitria; Rinaldi, Arief
Communications in Science and Technology Vol 10 No 2 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.2.2025.1854

Abstract

Cumulonimbus (CB) clouds are vertically developed convective systems that are capable of producing severe weather phenomena, including turbulence, heavy rainfall, and lightning. These phenomena pose a significant threat to aviation safety. This paper considers an automated CB cloud detection approach using the deep learning algorithm You Only Look Once version 8 on NOAA-19 satellite imagery. The images of 640 × 640 pixels each were labeled into two classes: CB and non-CB. In general, rotation, flip, and random brightening are performed to develop a more robust model. After 100 training epochs, the proposed model produced reliable detection performance, as evidenced by 1,694 TP (true positives), 438 FP (false positives), and 304 FN (false negatives) cases, with a precision of 0.79, recall of 0.84, and an F1-score of 0.81. Validation using METAR reports from the Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG) confirmed the consistency of the model with observed weather conditions. The results demonstrated that YOLOv8 could provide a rapid and reliable framework for real-time detection and classification of CB clouds, thereby enhancing situational awareness for aviation operations and facilitating the effectiveness of satellite-based early warning systems in convectively active tropical regions.
Rancang Bangun Antena Mikrostrip Flower Patch with Circular Ring Frekuensi 2.4 GHz untuk Aplikasi Monitoring Ketinggian Air Toren Otomatis Wienastuti, Hayyina; Astari, Astri; Rafsyam, Yenniwarti
Spektral Vol. 6 No. 2 (2025): Oktober 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i2.7947

Abstract

Microstrip Res are a popular type of antenna widely used in wireless communication systems due to their compact size, light weight, and ease of fabrication. This study focuses on the design and characterization of a flower patch microstrip antenna with combination circular ring element, operating at a frequency of 2.4 GHz for WiFi application. The design process was performed using full-wave electromagnetic simulation software to obtain optimum parameters, including return loss, Voltage Standing Wave Ratio (VSWR), and radiation pattern. Simulation results show the antenna achieved a return loss of 39.22 dB and a VSWR of 1.022, indicating good impedance matching to the 50 Ω system. The antenna was subsequently fabricated and tested using a Vector Network Analyzer (VNA) to verify the simulation results. The measurement results revealed an impedance value of 57.64 Ω, with a difference of approximately 7.6 Ω from the ideal value. This discrepancy is attributed to factors such as physical realization tolerance, dimensional variations, and fluctuations in the substrate's dielectric constant. Overall, the designed antenna exhibits good performance and shows potential for use as a WiFi antenna.
PEMANFAATAN INTERNET OF THINGS (IOT) UNTUK MONITORING LIMBAH CAIR SEBAGAI MEDIA PEMBELAJARAN BAGI SISWA SMK CITRA NEGARA Hasani, Rifqi Fuadi; Supriyanto, Toto; Nurjihan, Shita Fitria; Danaryani, Sri; Nixon, Benny; Rafsyam, Yenniwarti; Setiati, Anik Tjandra; Adiningtyas, Hana Kamila; Febryanti, Dita Indra; Prasetya, Irwan; Pratiwi, Ainnur Rahayu
Jurnal Abdimas Ilmiah Citra Bakti Vol. 7 No. 1 (2026)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v7i1.6328

Abstract

Perkembangan teknologi Internet of Things (IoT) telah mendorong berbagai inovasi dalam pemantauan lingkungan secara real-time. Namun, implementasi teknologi tersebut dalam pembelajaran di sekolah kejuruan masih terbatas karena kurangnya perangkat praktikum yang aplikatif dan kontekstual. Kondisi ini juga ditemukan pada siswa SMK Citra Negara yang belum memiliki pengalaman langsung dalam memanfaatkan teknologi IoT untuk pemantauan kualitas lingkungan. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengembangkan dan mengimplementasikan training kit berbasis IoT sebagai media pembelajaran dalam monitoring kualitas limbah cair bagi siswa SMK. Mitra kegiatan adalah siswa SMK Citra Negara. Kegiatan dilaksanakan melalui beberapa tahapan, yaitu tahap persiapan, tahap pelatihan, tahap implementasi, serta tahap evaluasi untuk menilai efektivitas program. Sistem monitoring yang dikembangkan memanfaatkan beberapa sensor, antara lain sensor suhu dan kelembapan (DHT22), sensor kekeruhan air (TS-300B), sensor gas amonia (MQ-135), sensor gas LPG (MQ-5), serta sensor pH (pH-4502C) yang mampu mengirimkan data secara real-time. Hasil kegiatan menunjukkan bahwa siswa memperoleh pemahaman yang lebih baik mengenai konsep Internet of Things dan penerapannya dalam pemantauan kualitas limbah cair. Training kit yang dikembangkan mampu menampilkan serta mengirimkan data secara real-time melalui aplikasi, sehingga memberikan pengalaman belajar yang praktis dan aplikatif bagi siswa. Dengan demikian, pemanfaatan IoT dalam monitoring limbah cair dapat menjadi media pembelajaran inovatif yang mendukung penguatan kompetensi teknologi siswa SMK sekaligus meningkatkan kesadaran terhadap pengelolaan lingkungan berbasis teknologi.