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Analisis Pengaruh Kanal Propagasi Los dan Nlos Terhadap Daya Terima Pada Sistem First Person View Melisa, Melisa; Tjahjamooniarsih, Neilcy; Marpaung, Jannus
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 7 (2024): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v4i7.2605

Abstract

Komunikasi wireless pada drone First Person View (FPV) sangat membantu untuk diterapkan dikota-kota besar seperti kota Pontianak yang mempunyai infrastruktur gedung tinggi dengan frekuensi besar, yang mana masih terdapat redaman baik dalam kondisi Line of Sight (LOS) dan Non-Line Of Sight (NLOS) sehingga akan mempengaruhi daya terima untuk dianggap layak menjamin unjuk kerja jaringan sesuai standar yang ada pada sistem First Person View (FPV). Untuk membangun suatu perencanaan kerja jaringan yang optimal, diperlukan suatu analisis jaringan yang baik terutama analisis parameter daya terima yakni ada dua indikator daya terima dengan metodologi penyelesaian berupa perhitungan pathloss model prediksi ABG dan pathloss model prediksi CI dan pengukuran RSSI. Perhitungan hasil dari masing masing model prediksi pathloss menghasilkan nilai pathloss yang bervariasi, untuk model ABG memiliki nilai sebesar 116,9 dB untuk pathloss sedangkan untuk RSSI sebesar -85.4 dBm. Pada model CI memiliki nilai sebesar 117.81 dB sedangkan untuk RSSI sebesar -86.31 dBm. Model prediksi ABG Pada pengukuran memiliki nilai sebesar -96 dBm. Hasil perhitungan model prediksi CI untuk kondisi LOS nilainya lebih mendekati hasil pengukuran namun hasil pengukuran lapangan menunjukkan nilai daya terima yang lebih tinggi dibandingkan dengan hasil perhitungan model, baik dalam kondisi LOS maupun NLOS.
Monitoring the Difference in Electrical Energy Between Communal Houses and Substations with Remote Communication Technology and the Internet of Things Hidayat, Fahrizal Mufti; Marpaung, Jannus; Abidin, Zainal
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 3, No 2: October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v3i2.83979

Abstract

Electrical energy distribution systems are essential for modern life, especially in communal homes that use energy significantly. Monitoring and measuring the difference in electrical energy between pole substations and communal houses is important for cost efficiency and environmental sustainability to avoid misunderstandings between customers and electrical energy providers. Therefore, remote communication technology and the Internet of Things allow in real-time and accurate monitoring. In this study, the stages of collecting electricity parameters were carried out. The method of observing electrical power uses a current sensor (SCT-013) and a voltage sensor (ZMPT101B). The ESP32 microcontroller is used in measurement systems and as a link to the internet connection via a Wi-Fi network. The measurement data is stored in the data logger with txt format. The Internet of Things media platform used is a website-based Thinger.io. The test results show that long-distance energy difference monitiring can be done and send the parameters of voltage, current, power and energy in the form of kWh by Tx_1, Tx_2, Tx_3 and Rx to the thinger.io with periods every 5 seconds alternately. Then data was taken and the value for the total current was 5.66 A, the total power value was 1077.66 W, the energy value at the source was 10.78 kWh, so that the energy difference value from the three transmitters and the source was 0.18 kWh with an error value in the energy difference of 1.704%.