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Mu. Aldi Rahmad Fahrozi, Taghfirul Azhima Yoga Siswa, Naufal Azmi Verdikha
Komparasi Ekstraksi Fitur TF-IDF dan Word2Vec pada Naïve Bayes untuk analisis Sentimen Pembangunan IKN di YouTube
Informatics

The development of Indonesia’s New Capital City (IKN) has generated diverse public responses on social media, particularly YouTube, making sentiment a...

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Mochamad Sanwasih, Fajar Septian, Ristasari Dwi Septiana
Deteksi Intrusi Jaringan Berbasis Machine Learning Menggunakan Model Boosting dengan Session-Level Feature Representation
Cyber

The increasing complexity of network security threats demands intrusion detection systems that are both contextual and adaptive. Conventional signatur...

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This study tackles the increasingly complex challenge of network security by proposing an enhanced machine learning-based intrusion detection system (...

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Adji Prasetyo, Zuhri Halim
Implementasi Dashboard Real-Time Untuk Memantau Proses Pendaftaran Webinar Berbasis Website
Informatics

This research aims to develop a web-based information system with an analytical dashboard to improve business process efficiency and campaign evaluati...

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Dadang Kurniawan, Windu Gata, Taufik Asra
Perbandingan Kinerja Algoritma Machine Learning dalam Klasifikasi Sentimen Komentar Publik terhadap Pelayanan Perpajakan
Medicine

Early identification of malignant transformation in oral leukoplakia is crucial to prevent progression to Oral Squamous Cell Carcinoma (OSCC). However...

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Angga Priyadi, Daniel Fernando, Debi Irawan, Athia Saelan
Pengembangan Sistem Informasi Monitoring Checklist Maintenance untuk Efisiensi Pemeliharaan Pada Divisi General Affair
Informatics

The General Affair (GA) Division at a telecommunications company faces problems in the maintenance checklist process, which is still carried out manua...

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This paper addresses a pertinent operational challenge within the General Affair (GA) Division of a telecommunications company: the inefficiencies inh...

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Helmy Purnomo Hidayat, Helmi Imaduddin
Implementasi Arsitektur CNN untuk Klasifikasi dan Identifikasi Penyakit Daun Tanaman Padi
Agriculture

Leaf diseases in rice plants are a serious threat that can reduce productivity and crop quality, thus directly impacting national food security. Farme...

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Amiladito Adhyatma Wijanarko, Helmi Imaduddin
Implementasi Metode Random Forest Untuk Memprediksi Jumlah Penjualan Gorden Berdasarkan Data Historis
Informatics

The rapid development of information technology has encouraged companies, including Tova Gorden, a small business engaged in curtain sales, to adopt t...

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This study presents a highly relevant and practical application of machine learning to address a common pain point for small businesses: inefficient i...

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Dzulfidho Wijianto Putra, Ahmad Fahrudi Setiawan, Nurlaily Vendyansyah
Peramalan Curah Hujan Menggunakan Metode Holt-Winters Exponential Smoothing
Meteorology

Rainfall is a crucial climatological parameter for agriculture, tourism, and water resource management. Its seasonal and fluctuating nature requires a...

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This study addresses a critically important topic: the accurate forecasting of rainfall, a climatological parameter vital for sectors such as agricult...

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Syawalian Rais Dwi Jayanto, Suprihadi Suprihadi
Sentiment Analysis on X, TikTok, and Instagram on Indonesian Capital relocation using Support Vector Machine
Communication

This study examines public sentiment toward Indonesia’s new capital city, Ibu Kota Nusantara (IKN), across three major social media platforms: X, TikT...

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Achmad Fikri Sallaby
Decision Support System for Selecting Outstanding Students University using the Method Multi Attribute Utility Theory (MAUT)
Informatics

The Selection of Outstanding Students describes the activities that have been carried out by the Higher Education since 2004. These activities include...

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