Shafa Aurelliza Arian, Putri Rahel Alifia, Bagus Prihantoro, Muhammad Iqbal Disriansyah, Ken Ditha Tania, Alsella Meiriza, Ahmad Rifai

Perbandingan Model Klasifikasi Supervised Machine Learning dalam Knowledge Discovery Layanan TI Pertamina Prabumulih

Informatics

Pengelolaan data layanan Teknologi Informasi (TI) di Pertamina Prabumulih memerlukan pendekatan analitik untuk meningkatkan efektivitas penanganan dan...

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The study "Perbandingan Model Klasifikasi Supervised Machine Learning dalam Knowledge Discovery Layanan TI Pertamina Prabumulih" addresses a critical...

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Aulia Pinkasari, Meiyin Monica Amilia Putri, Gibral Abdurahman, Ahmad Fadhil Rizqi, Ken Ditha Tania, Allsela Meiriza, Ahmad Rifai

Penerapan Model Recency, Frequency, Monetary untuk Segmentasi Pola Perilaku Pelanggan Indibiz

Management

PT Telkom Indonesia Witel Sumbagsel menghadapi kondisi Data Rich, Information Poor (DRIP), yaitu melimpahnya data transaksi yang belum dimanfaatkan se...

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This paper addresses a highly pertinent challenge in data-rich environments: transforming vast transactional data into actionable intelligence. Focusi...

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Muhammad Bayu Samudra, Alifa Putri Shahabiyah, Aliya Faiza, Edo Wicaksono, Ken Ditha Tania, Allsella Meiriza, Ahmad Rifai

Segmentasi Pelanggan Kartu Halo Telkomsel Berbasis K-Means di Wilayah Sumbagsel

Informatics

Perusahaan telekomunikasi dalam menjalankan operasionalnya harus mengelola banyak data pelanggan, karena penggunaan layanan digital terus bertambah. N...

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This paper, "Segmentasi Pelanggan Kartu Halo Telkomsel Berbasis K-Means di Wilayah Sumbagsel," addresses a highly relevant and timely issue within the...

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Yuni Artha Chyntia Saragih, Erma Suryani

Implementasi Metode Hybrid Backpropagation Neural Network dan Particle Swarm Optimization untuk Prediksi Konsumsi Listrik Rumah Tangga Berdasarkan Golongan Tarif

Informatics

Konsumsi listrik pada sektor rumah tangga terus meningkat seiring dengan pertumbuhan penduduk dan perkembangan sosial ekonomi. Penelitian ini mengusul...

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The paper "Implementasi Metode Hybrid Backpropagation Neural Network dan Particle Swarm Optimization untuk Prediksi Konsumsi Listrik Rumah Tangga Berd...

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Tifanny Nabarian, Siti Nurhalizah, Salman El Farisi

Analisis Perbandingan Kinerja IndoBERT dan TF-IDF dalam Mengklasifikasikan Sentimen EDOM Menggunakan Algoritma K-Nearest Neighbor

Informatics

Dalam konteks pendidikan tinggi, dosen berkontribusi besar terhadap peningkatan kualitas pembelajaran. Di Sekolah Tinggi Teknologi Terpadu Nurul Fikri...

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The study effectively addresses a significant challenge within higher education institutions concerning the manual and potentially subjective analysis...

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Wahyu Teja Kusuma, Leny Candra Kurniawan, Nindynar Rikatsih, Puspo Wardoyo

Analisis Sentimen Ulasan Pengguna Aplikasi Akupunktur di Play Store Menggunakan Naïve Bayes

Health

Integrasi kemajuan teknologi ke dalam layanan kesehatan tidak dapat dihindari. WHO menekankan aspek aksesibilitas dan keamanan pasien pada integrasi t...

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This paper proposes a timely and relevant study on the sentiment analysis of user reviews for acupuncture applications available on the Google Play St...

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Taniya Raisha Dwiva Putri, M. Rudi Sanjaya, MGS Afriyan Firdaus, Dwi Rosa Indah

Implementasi Algoritma K-Nearest Neighbors dalam Analisis Sentimen Ulasan Aplikasi Bank Aladin

Informatics

Digitalisasi layanan Aladin Bank Syariah melahirkan variasi ulasan di Google Play Store yang mencakup aspek kepraktisan hingga permasalahan teknis apl...

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Amir Hamzah Dinnillah, Fikri Maulana

Systematic Review and Bibliometric Mapping on Image Processing in Electronic Health Records

Informatics

The integration of medical image processing techniques into Electronic Health Records (EHR) has become a vital element in the transformation of modern...

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Nikolay Penkov, Boris Kunev, Yavor Asenov, Georgi Jelev, Todor Yanev, Teofil Sedloev

Acute appendicitis – clinical symptoms and scoring systems

Medicine

Acute appendicitis is the most common cause of acute abdominal surgery, with a peak incidence between 10 and 30 years of age and an annual...

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Emiliya Tosheva, Zhivko Shavalov, Vasil Solunkin, Veselin Miroslavov, Dani Penev, Ivaylo Ivanov, Georgi Korukov, Atanas Yonkov

Advanced neuroendocrine tumor of the appendix with adnexal infiltration: case report and literature review

Medicine

Introduction: Neuroendocrine tumors (NETs) of the appendix are rare lesions, typically discovered incidentally and characterized by an indo...

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The title and abstract present a highly interesting and clinically relevant case report detailing an advanced neuroendocrine tumor (NET) of the append...

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