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All Journal Jurnal Riset Multidisiplin Edukasi
Jonathan Aldo Setiawan
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Metodologi Pengujian dan Validasi Topologi Infrastruktur Jaringan Naf’an Rasyidi Hartono; Jonathan Aldo Setiawan; Dewi Oktafiani
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 2 (2026): Jurnal Riset Multidisiplin Edukasi (Februari 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i2.1658

Abstract

In today's digital era, network infrastructure topology is a crucial component in ensuring the performance and reliability of communication systems. This article discusses a methodology for testing and validating network infrastructure topologies. This research aims to identify and develop efficient procedures for testing and validating various network topologies to ensure optimal stability and performance. The methods used include simulation, performance analysis, and empirical validation through field trials. The results show that the proposed methodology is capable of detecting potential issues and providing recommendations for improvement, thereby improving operational efficiency and network reliability.
Analisis Bencana Banjir Kab. Boyolali Menggunakan Metode Decision Tree pada Rapid Miner Aprisca Ananda Rosdianty; Dwiningsih; Nasywa Tabita Rasyid; Jonathan Aldo Setiawan; Rajnaparamitha Kusumastuti
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 4 (2026): Jurnal Riset Multidisiplin Edukasi (April 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i4.1824

Abstract

Flood disasters are a natural phenomenon that often occur in various regions in Indonesia, including cities such as Banjarnegara, Boyolali and Karanganyar. Floods have a significant impact on the economy, social and environment. Therefore, proper understanding and analysis of the factors that cause flooding is very important for effective mitigation efforts. This research uses a decision tree algorithm to analyze meteorological data including temperature, wind speed, humidity and rainfall from various cities in Indonesia. This data includes normal to hot temperature conditions, slightly calm wind speed to light gusts, high to moderate humidity, and extreme to very high rainfall. The results of the analysis show patterns and relationships between these variables and flood events. The decision tree algorithm is used to build a prediction model in the form of a decision tree, which makes interpretation and decision making easier. This research aims to identify the main factors that contribute to flooding and develop a prediction model that can be used to improve preparedness and response to flood disasters. By understanding the patterns and factors that cause flooding, it is hoped that more effective mitigation measures can be implemented to reduce the risk and impact of thisdisaster.
Co-Authors Aprisca Ananda Rosdianty Dwiningsih Naf’an Rasyidi Hartono Nasywa Tabita Rasyid Oktafiani, Dewi Rajnaparamitha Kusumastuti