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RAINFALL PREDICTION USING DATA MINING TECHNIQUES Riko Herwanto; Rosyana Fitria Purnomo; Sriyanto -
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Rainfall is an important factor in agrarian countries such as Indonesia. Rainfall prediction has become one of the most challenging technological challenges and challenges in the world. And also the most significant and difficult task for researchers in recent years. In Data Mining, the classification algorithm is primarily used to predict rainfall, temperature, various methods of available rainfall estimation that will be used to determine the cultivation time for a particular crop, a particular crop varieties.The reliability of this prediction depends on accuracy in choosing correlated variables. If existing historical databases fail to record the most correlated variables, then the reliability of these data-driven forecast approaches is questionable. In this paper, an attempt has been made to develop a methodological framework that leverages the power of a predefined data mining analysis (decision tree). The decision-based rainfall prediction model developed maps climate variables, namely; a) temperature, b) humidity, and c) wind speed over the observed rainfall database.This paper uses data mining techniques such as Clustering Technique, Decision Tree and classification for rainfall prediction. Keywords: Rainfall,  Rainy Season, Data Mining,  Classification, Decision Tree, Bayesian Technique.
Mobile Blockchain in Digital Supply Chain Riko Herwanto; Nisar Nisar; Chairani Fauzi; Fitria -; Amnah Amnah; Faurani I Santi Singagerda; Hary Sabita
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Mobile device users are estimated to reach 4 billion in 2018 and 6 billions users in 2023. These mobile devices have changed how individuals and organizations carry out their activities. Increasing smartphone efficiency is changing how companies collaborate with their suppliers and distributors. Blockchain technology, which was first created for Bitcoin, is generating disruption in other industries. Even if the long-term forecasts for Bitcoin and the economy remain uncertain, it is increasingly evident that Blockchain technology can cause enormous disruption. However, because it poses a threat to the existing order of the modern world's prominent organizations, institutions, and power structures, its potential may never be fully realized. This article will introduce you to Blockchain technology and its potential use in the logistics and supply chain. If maintained on the Blockchain, data about supply chains and logistics can be sent across the network in a reliable, secure, and auditable manner. In some supply chain implementations, Blockchain is being replaced by distributed ledger technology, which offers several benefits. This article discusses the possible use of blockchain technology and mobile devices in the supply chain and logistics industryKeywords— Blockchain, Distributed Ledger, Mobile Device,  Supply Chain, and Digital Supply Chain