Data Science and Artificial Intelligence: Recent submissions
Now showing items 1-20 of 24
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Analisis Framing dan Sentimen Media Online Indonesia dalam Pemberitaan Tom Lembong
(Universitas Sumatera Utara, 2026)This study analyzes the framing and sentiment of Indonesian online media coverage of the sugar import corruption case involving the former Secretary-General of the Ministry of Trade, Tom Lembong, during the period from ... -
Analisis Prediktif Awal Penyakit Jantung Koroner pada Data Rekam Medik Pasien
(Universitas Sumatera Utara, 2026)Coronary heart disease (CHD) remains one of the leading causes of death worldwide and poses a major challenge for healthcare systems, particularly in developing countries such as Indonesia. This study aims to develop an ... -
Pendekatan Data Driven dalam Model Regresi Pengaruh Penggunaan Chatgpt terhadap Emosional Gen-Z
(Universitas Sumatera Utara, 2025)Data were collected through a questionnaire from 500 respondents, using the DASS-21 instrument to measure mental health, as well as questions related to the frequency, duration, and purpose of ChatGPT use (schoolwork, ... -
Deep Support Vector Data Description dalam Penanganan Anomali pada Proses Pengajuan Klaim Asuransi Kredit
(Universitas Sumatera Utara, 2025)This study proposes Deep Support Vector Data Description (Deep-SVDD) as an anomaly-detection approach for credit-insurance claim submissions processed via host-to-host systems. Operational tabular data (5,000 observations) ... -
Analisis Perkembangan Hidup Biota Air Tawar pada Ekosistem Akuaponik
(Universitas Sumatera Utara, 2025)This study examines the impact of ammonia levels on the development of freshwater biota, with a special focus on snakehead fish (Channa striata) and spinach (Amaranthus sp.) in an aquaponic ecosystem. The experiment was ... -
Analisis Prediktif Ketahanan Pangan Berbasis Data Spasial dengan Metode Random Forest Dan Cellular Automata di Provinsi Nusa Tenggara Timur
(Universitas Sumatera Utara, 2025)Food security remains a key concern in sustainable development, especially in regions like East Nusa Tenggara (NTT) that are prone to drought and land conversion. This study aims to explore future food security in NTT by ... -
Segmentasi Nasabah Pengguna Layanan Pembelian Pulsa dan Paket Internet dalam Mobile Banking Menggunakan Teknik Feature Engineering dan Algoritma K-Means
(Universitas Sumatera Utara, 2025)The advancement of technology has driven the widespread use of mobile banking as one of main pillars of modern banking services. Understanding the behavioral patterns of mobile banking users has become crucial for designing ... -
Reduksi Distorsi Makna Multiword Expression dengan IndoBERT untuk Pemodelan Topik
(Universitas Sumatera Utara, 2025)The Makan Bergizi Gratis (MBG) is one of the Indonesian government’s priority initiatives that has received significant coverage in online media. To understand the main themes within these narratives, this study applies ... -
Penanganan Imbalance Data pada Hasil Klaster dengan SMOTE untuk Prediksi Permintaan Perusahaan Ekspedisi Menggunakan XGBoost
(Universitas Sumatera Utara, 2025)The rapid growth of online shopping has driven the increasing need for accurate demand prediction in logistics and courier service companies. However, this demand presents challenges due to imbalanced data, which causes ... -
Analisis Aktivitas Pengguna Mobile Banking Berdasarkan Klasterisasi Waktu Transaksi Menggunakan Metode Self-Organizing MAP (SOM)
(Universitas Sumatera Utara, 2025)Pertumbuhan pesat layanan mobile banking di Indonesia menuntut pemahaman yang lebih dalam terhadap perilaku pengguna, terutama dalam hal waktu dan pola transaksi. Namun, tantangan yang dihadapi adalah bagaimana mengelompokkan ... -
Metode SMOTE ENN untuk Imbalanced Data dalam Klasifikasi Health Index Transformator Distribusi
(Universitas Sumatera Utara, 2025)In the power distribution system, transformers play a crucial role in delivering electricity reliably to end users. To ensure that these assets continue to operate effectively, regular condition monitoring is necessary. ... -
Metode Smote untuk penanganan Imbalance Class pada Klasifikasi Data Tweet Pemilu Tahun 2024 di Indonesia menggunakan Algoritma Backpropagation
(Universitas Sumatera Utara, 2025)Class imbalance is a classification problem where the target class distributions have very different ratios. The common thing that causes imbalance between classes is organic distribution (a type of distribution achieved ... -
Analisis Pola Media Sosial Twitter untuk Meningkatkan Kesadaran Pengguna Menggunakan Random Forest
(Universitas Sumatera Utara, 2024)This study aims to analyze Twitter user behavior patterns in an effort to increase user awareness, as well as identify parameters that are significant to these patterns. User awareness is measured using a metric attribute ... -
Klasterisasi Rotational Churn terhadap Pelanggan Telekomunikasi Menggunakan Pendekatan Data-Centric AI
(Universitas Sumatera Utara, 2024)In the current era of rapid technological development, customer churn poses a serious challenge, especially in the highly competitive telecommunications industry. Churn refers to customers who stop using a service or switch ... -
Pendekatan Data-Centric AI dengan Confident Learning dan XGBoost untuk Prediksi Churn Nasabah
(Universitas Sumatera Utara, 2023)Customer churn prediction is critical for businesses to reduce customer attrition and improve customer retention strategies. This research proposes a method to enhance the accuracy and effectiveness of customer churn ... -
Pembentukan Dataset dan Analisis Keberlanjutan Perkebunan Sawit Rakyat Berbasis GIS di Pulau Sumatera
(Universitas Sumatera Utara, 2024)Indonesia is the largest palm oil producer in Indonesia, and smallholder palm oil plantations account for 40% of the total palm oil plantations in Indonesia. However, smallholders have far fewer resources than large ... -
Pembangkitan Data Sintetis pada Prediksi Transaksi Ekspor Kopi
(Universitas Sumatera Utara, 2024)Coffee is a vital trade commodity for the global economy, including Indonesia, the third-largest coffee producer in the world in 2022/2023. This research aims to develop a predictive model for coffee export transactions ... -
Pendekatan Data-Driven untuk Pengambilan Keputusan pada Institusi Perguruan Tinggi
(Universitas Sumatera Utara, 2024)Data-driven approaches, which leverage data for various purposes, are increasingly adopted by organizations, including higher education institutions. These approaches focus on thorough data analysis, interpretation, ... -
Pembangkitan Data Sintetik dalam Length Recency Frequency Monetary (LRFM) dan Klasterisasi K-Means untuk Segmentasi Pelanggan
(2024)Customer segmentation is a critical component in developing effective marketing strategies, yet obtaining accurate and comprehensive customer datasets frequently poses significant challenges. This study investigates the ... -
Segmentasi Nasabah Berbasis Recency, Frequency, Monetary, Variety and Duration (RFMVD) Menggunakan K-Means Clustering
(Universitas Sumatera Utara, 2024)In banking, maintaining customer retention and customer satisfaction are important. Effective customer segmentation can be a strategic tool to improve customer loyalty and business performance. This research can assist ...