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All Journal Journal of Information Systems and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Satria, Bayu Dwiyan
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Computer Science & IT

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Comparison of cloud computing providers for development of big data and internet of things application Muhammad Fajrul Falah; Yohanes Yohanie Fridelin Panduman; Sritrusta Sukaridhoto; Arther Wilem Cornelius Tirie; M. Cahyo Kriswantoro; Bayu Dwiyan Satria; Saifudin Usman
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1723-1730

Abstract

The improved technology of big data and the internet of things (IoT) increases the number of developments in the application of smart city and Industry 4.0. Thus, the need for high-performance cloud computing is increasing. However, the increase in cloud computing service providers causes difficulties in determining the chosen service provider. Therefore, the purpose of this study is to make comparisons to determine the criteria for selecting cloud computing services following the system architecture and services needed to develop IoT and big data applications. We have analyzed several parameters such as technology specifications, model services, data center location, big data service, internet of things, microservices architecture, cloud computing management, and machine learning. We use these parameters to compare several cloud computing service providers. The results present that the parameters able to use as a reference for choosing cloud computing for the implementation of IoT and big data technology.
Comparison of cloud computing providers for development of big data and internet of things application Muhammad Fajrul Falah; Yohanes Yohanie Fridelin Panduman; Sritrusta Sukaridhoto; Arther Wilem Cornelius Tirie; M. Cahyo Kriswantoro; Bayu Dwiyan Satria; Saifudin Usman
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1723-1730

Abstract

The improved technology of big data and the internet of things (IoT) increases the number of developments in the application of smart city and Industry 4.0. Thus, the need for high-performance cloud computing is increasing. However, the increase in cloud computing service providers causes difficulties in determining the chosen service provider. Therefore, the purpose of this study is to make comparisons to determine the criteria for selecting cloud computing services following the system architecture and services needed to develop IoT and big data applications. We have analyzed several parameters such as technology specifications, model services, data center location, big data service, internet of things, microservices architecture, cloud computing management, and machine learning. We use these parameters to compare several cloud computing service providers. The results present that the parameters able to use as a reference for choosing cloud computing for the implementation of IoT and big data technology.
Low-Cost LoRaWAN Solution for Groundwater Monitoring in Peatlands Usman, Saifudin; Atimi, Rizqia Lestika; Anhar, Muh; Susanto, Anto
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.923

Abstract

Some efforts made in restoring peatlands include moisture restoration, replanting, hydrological restoration, monitoring, and evaluation using technology to obtain periodic condition data. The implementation of the Water Level Logger (WLL) for monitoring groundwater levels in peatlands still faces issues because the sensor installation points are not served by cellular communication networks for data transmission. This research aims to implement a Low Power Wide Area Network (LPWAN) as a low-cost infrastructure used in applications for monitoring water levels in peatland. The method in this research is an approach to develop LoRaWAN gateway devices and servers using ChirpStack, equipped up to the application layer as supporting infrastructure for self-hosted groundwater level monitoring tools integrated with a time-series database and displaying measurement data on a dashboard periodically. Based on the tests, the average measurement of the Received Signal Strength Indicator (RSSI) obtained at the farthest distance of 3 km was -116 dBm, where the RSSI value also decreased with each additional distance, and the Line-of-Sight (LOS) condition significantly affected the RSSI value. This research shows that a real-time peat groundwater monitoring system has been successfully built at a low cost using self-hosted LoRaWAN gateways and servers, while maintaining reliability.
Co-Authors Arther Wilem Cornelius Tirie M. Cahyo Kriswantoro Muh Anhar Muhammad Fajrul Falah Rizqia Lestika Atimi . Sritrusta Sukaridhoto Susanto, Anto Yohanes Yohanie Fridelin Panduman