p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Elektron Jurnal Ilmiah
R Yudha Mardyansyah
Pusat Jaringan Komunikasi Kedeputian Instrumentasi Kalibrasi Rekayasa Jaringan Komunikasi BMKG

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Kajian Pemanfaatan IoT Berbasis LPWAN Untuk Jaringan Akuisisi Data ARG Tri Istiana; R Yudha Mardyansyah; G.S Budhi Dharmawan
Elektron : Jurnal Ilmiah Volume 12 Nomor 1 Tahun 2020
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.869 KB) | DOI: 10.30630/eji.12.1.155

Abstract

One of parameters for observing weather elements is the amount of rainfall. The rainfall observation system is using ARG. The existing condition uses cellular network-based IoT. In this study, researchers tried to provide an alternative communication system for ARG data acquisition networks using LPWAN-based IoT technology. Comparison of three LPWAN IoT technologies that can be applied to ARG communication systems, namely NB-IoT, Sigfox, and LoRaWAN. The three LPWAN technologies have followed the Republic of Indonesia Minister of Communication and Information Regulation No. 1 of 2019. These three technologies can be used for ARG data acquisition networks. LoRaWAN technology in rural areas reaches 20 km. LoRaWAN devices that meet frequency requirements have been sold freely on the internet with the 920 MHz frequency band. Of these three technologies, only LoRaWAN can be used to build private or internal communication networks. This is an added value for BMKG to build district or provincial scale LPWA WAN networks in regions that are constrained by the transmission of ARG data through cellular networks.
Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan R. Yudha Mardyansyah; Budhy Kurniawan; Santoso Soekirno; Danang Eko Nuryanto
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.278

Abstract

As a vast archipelagic country with diverse topographic conditions and has an annual average rainfall of more than 2000 mm, Indonesia is prone to hydrometeorological disasters. Based on Indonesia's disaster data, throughout 2021 there were 3,658 incidents of floods and landslides distributed throughout Indonesia. This makes real-time rainfall monitoring with high density indispensable. Indonesia currently has a rainfall monitoring system about 1000 automatic rain gauges, so an increase in the spatial resolution of network is necessary. The increasing density of monitoring equipment using rain gauges and weather radar poses the problem of high procurement and operational costs. Therefore, several alternative rainfall monitoring systems are needed. In this article, we review several studies that focus on the utilization of terrestrial and satellite communication link operating in high frequency bands as an alternative for measuring rainfall. Optimization of the satellite communication system network is more suitable than terrestrial networks to be applied in Indonesia with archipelagic areas because it has a large number of point distributions with wider coverage. The use of artificial intelligence with deep learning techniques such as one dimensional convolutional neural network (1D-CNN) is also very promising to estimate rainfall intensity because it has a high accuracy of 93%..