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All Journal Proceeding International Conference on Information Technology and Business Berbakti
Riko Herwanto
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Religion Computer Science & IT Economics, Econometrics & Finance Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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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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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
Generative AI (ChatGPT dan Canva AI) untuk Meningkatkan Literasi Digital Siswa Kelas XII SMKN 3 Bandar Lampung Riko Herwanto; Muhammad Galih Ramaputra
BERBAKTI: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 04 (2026): ISSUE APRIL
Publisher : PT. Mifandi Mandiri Digital

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Pesatnya perkembangan kecerdasan buatan (AI) menuntut kesiapan generasi muda dalam menghadapi era digital, namun literasi AI di kalangan siswa kejuruan masih sangat terbatas. Kegiatan pengabdian masyarakat ini bertujuan mengevaluasi efektivitas program pelatihan penggunaan AI bagi siswa kelas XII SMKN 3 Bandar Lampung, dengan fokus pada peningkatan pemahaman konsep dasar AI dan keterampilan praktis menggunakan alat berbasis AI seperti ChatGPT dan Canva AI. Metode yang digunakan adalah campuran (mixed-methods) meliputi pre-test, post-test, angket, observasi, dan wawancara terhadap 62 siswa. Hasil menunjukkan peningkatan nilai rata-rata yang signifikan dari 57,85 menjadi 85,2. Uji-t berpasangan mengonfirmasi peningkatan bermakna secara statistik (t-hitung = 15,42 > t-tabel = 2,00), sementara nilai N-Gain sebesar 0,65 menunjukkan efektivitas pada kategori sedang. Pelatihan ini terbukti mampu meningkatkan literasi digital siswa dan mempersiapkan mereka menghadapi tuntutan Revolusi Industri 4.0.
Co-Authors Amnah Amnah Chairani Fauzi Faurani I Santi Singagerda Fitria - Hary Sabita Muhammad Galih Ramaputra Nisar Nisar Rosyana Fitria Purnomo Sriyanto -