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Annisa Nurcahyani, Wahyuddin Wahyuddin, Marlina Marlina, Masnur Masnur
Desain Aplikasi Pendukung Peran Orang Tua Dalam Proses Perkembangan Bayi Berbasis Android
Informatics

Penelitian ini bertujuan untuk mengevaluasi desain aplikasi berbasis Android yang mendukung peran orang tua dalam memantau dan merawat bayi...

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Penelitian berjudul "Desain Aplikasi Pendukung Peran Orang Tua Dalam Proses Perkembangan Bayi Berbasis Android" mengevaluasi rancangan aplikasi berbas...

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Nixon Clementius Marauhuku Nixon, Haiqal Aqmal Suryanto Aqmal, Muhamad Satriaji Aji, Wasis Haryono Wasis
RANCANG BANGUN SISTEM INFORMASI PEMBUATAN SISTEM KAS MANAJEMEN RT DAN RW PADA CLUSTER PESONA KARAWACI BERBASIS WEBSITE
Informatics

Pengelolaan kas di lingkungan RT dan RW pada Cluster Pesona Karawaci sebelumnya dilakukan secara manual menggunakan buku catatan dan aplikasi sederhan...

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The paper "RANCANG BANGUN SISTEM INFORMASI PEMBUATAN SISTEM KAS MANAJEMEN RT DAN RW PADA CLUSTER PESONA KARAWACI BERBASIS WEBSITE" addresses a pervasi...

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Ekhlas Ghaleb Abdulkadhim Ghlai, Zaman Mahdi Abbas, Muqdad Abdulraheem Hayder
Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution
Informatics

It has become natural to retain most of the information electronically, due to developments and improvements in information and communication technolo...

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The paper, "Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution," addresses the pervasive challenge o...

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Hewa Zangana, Ayaz Khalid Mohammed, Marwan Omar , Firas Mahmood Mustafa, Anik Vega Vitianingsih
Adaptive Resonance Theory-Based Approach for Robust and Efficient Face Recognition
Informatics

In recent years, face recognition systems have gained significant traction due to their applications in security, surveillance, and user authenticatio...

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The paper presents a novel Adaptive Resonance Theory (ART)-based approach for robust and efficient face recognition, directly addressing common challe...

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Sitraka Herinambinina Andrianarisoa, Henri Michaël Ravelonjara, Geerish Suddul, Ravi Foogooa, Sandhya Armoogum, Doorgesh Sookarah
A Deep Learning Approach to Fake News Classification Using LSTM
Informatics

The rapid spread of misinformation on digital platforms poses a major challenge today. The ability to detect false information is essential to mitigat...

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This paper presents a deep learning approach for fake news classification using Long Short-Term Memory (LSTM) networks, aiming to address the critical...

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Habib Hamam
Rethinking Intelligence: From Human Cognition to Artificial Futures
Informatics

The rapid advancement of AI technologies raises pressing questions about the nature and future direction of intelligence. A key challenge is to unders...

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The paper, "Rethinking Intelligence: From Human Cognition to Artificial Futures," tackles a crucial and timely issue: the evolving definition and eval...

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Godfrey Oise, Onyemaechi Clement Nwabuokei, chukwuma Emmanuel Ozobialu, Otega Prosper Jenarhome, Onoriode Michael Atake, Unuigbokhai Nkem Belinda, Akilo Babalola Eyitemi
Enhancing Indoor Positioning Accuracy with Ant Colony Optimization and Dual Clustering
Informatics

Indoor positioning systems are crucial for public safety, healthcare, and IoT, but Wi-Fi fingerprinting faces challenges such as signal interference,...

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This paper addresses a critical challenge in indoor positioning systems: enhancing the accuracy and efficiency of Wi-Fi fingerprinting, which is hampe...

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Godfrey Oise, Clement Nwabuokei, Richard IGBUNU, Prosper EJENARHOME
Revisiting Parasitic Computing: Ethical and Technical Dimensions in Resource Optimization
Informatics

Parasitic computing is a provocative concept enabling one system to offload computational tasks to remote hosts without explicit consent by exploiting...

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This study offers a timely and thorough re-evaluation of parasitic computing, a conceptually intriguing but technically challenging approach to distri...

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Ulfa ., , Agung Ramadhanu
Implementasi Pengolahan Citra untuk Klasifikasi Jenis Bunga Matahari, Mawar, dan Tulip Menggunakan Algoritma K-Means Clustering
Informatics

Manual identification and classification of ornamental flower varieties is time-consuming and highly dependent onindividual expertise, resulting in id...

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This paper presents a commendable effort to address the practical challenge of manual flower identification by proposing an automated classification s...

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Syerlin Aprilia Delvi, Agung Ramadhanu
A Implementasi K-Means Clustering dalam Segmentasi Citra Hewan pada Kucing, Kambing, dan Burung
Informatics

Image segmentation is one of the most important challenges in digital image processing because it determines the successof separating the main object...

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The paper, "A Implementasi K-Means Clustering dalam Segmentasi Citra Hewan pada Kucing, Kambing, dan Burung," addresses a significant challenge in dig...

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