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Found 3035 from your keywords: subject="Sistem"
First Page Previous 66 67 68 69 70 Next Last Page
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PERANCANGAN DAN IMPLEMENTASI PERPUSTAKAAN DIGITAL MENGGUNAKAN METODE RAPID AP…
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Winata, Fahreza

SMA Negeri 2 Sungai Lilin masih mengelola perpustakaan secara manual, yang menyebabkan pencatatan data kurang efisien, proses peminjaman lambat, dan akses informasi terbatas. Penelitian ini bertujuan merancang sistem perpustakaan digital berbasis website menggunakan metode Rapid Application Development (RAD). Metode ini dipilih karena pendekatan iteratif dan keterlibatan pengguna yang tinggi, m…

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xvi, 125 hlm.; ilus.; tab, 29 cm
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T1826952025
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ANALISIS PENGARUH KUALITAS AIR TERHADAP PERTUMBUHAN IKAN PADA KOLAM AKUAPONIK…
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Putri, Farah Tri Rahma

Kualitas air merupakan faktor penting dalam budidaya ikan karena berpengaruh langsung terhadap laju pertumbuhan dan kelangsungan hidup ikan. Penelitian ini bertujuan untuk menganalisis pengaruh parameter kualitas air terhadap pertumbuhan ikan pada sistem akuaponik berbasis Internet of Things menggunakan algoritma Random Forest. Data diperoleh dari lima kolam akuaponik dengan pemantauan otomatis…

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xvi, 125 hlm.; ilus.; tab.; 29 cm.
Series Title
09011382126163
Call Number
T1801142025
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ANALISIS PREDIKSI KUALITAS UDARA BERBASIS INDEKS MENGGUNAKAN INTERNET OF THIN…
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Viana, Vera Rahma

Kualitas udara merupakan faktor krusial yang memengaruhi kesehatan manusia dan keberlangsungan lingkungan. Peningkatan polusi akibat aktivitas manusia seperti industri dan transportasi mendorong perlunya pemantauan kualitas udara yang efektif dan real-time. Penelitian ini bertujuan untuk mengembangkan model prediksi Indeks Kualitas Udara (AQI) berbasis algoritma Random Forest menggunakan data k…

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ISBN/ISSN
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xvii, 64 hlm.; ilus.; tab.; 29 cm
Series Title
09011382126155
Call Number
T1801712025
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APLIKASI PENGOLAHAN DATA KEUANGAN RAWAT INAP DI PUSKESMAS PEMATANG PANGGANG IV
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Saputra, Galih Rangga

This research aims to address the challenges in managing inpatient financial data at the Pematang Panggang IV Public Health Center, where manual processes lead to slow data access, a high risk of errors in cost calculation, and difficulties in preparing timely revenue reports. To overcome these issues, a web-based inpatient financial data processing application was developed using PHP and MySQL…

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vii, 57 hlm.; ilus,; tab, 29 cm
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Call Number
T1833942025
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PENGEMBANGAN MODEL SEGMENTASI DAN ALIGMENT CITRA PRA KANKER SERVIKS MENGGUNAK…
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Susanti, Dwi

Cervical cancer is one of the leading causes of death in women worldwide, so early detection of precancerous lesions is crucial to reduce mortality. Conventional screening methods such as VIA and Pap Smear still have limited accuracy and risk producing false positives and false negatives. This study aims to develop a deep learning-based cervical image segmentation model using the You Only Look …

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xxii, 549 hlm.; ilus.; tab.; 29 cm.
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-
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T1800952025
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KONTRIBUSI KNOWLEDGE MANAGEMENT TERHADAP KEUNGGULAN KOMPETITIF MELALUI PENING…
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Fadhil, Farhan Muhammad

Penelitian ini bertujuan untuk menganalisis kontribusi knowledge management terhadap keunggulan kompetitif melalui peningkatan kinerja karyawan pada PT OKI Pulp and Paper. Penelitian ini membahas optimalisasi strategi knowledge management dalam meningkatkan kinerja karyawan guna mencapai keunggulan kompetitif di PT. OKI Pulp and Paper, dengan fokus pada hambatan dalam dokumentasi pengetahuan, k…

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xiv, 53 hlm.; ilus.; tab.; 29 cm.
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T1834302025
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ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL MENGENAI JERSEY HOME TIMNAS INDONESIA…
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Wicaksana, Samuel Ido Putra

Brand Erspo, as a local apparel that collaborated with PSSI for the Indonesian national team jersey in 2025, faced high expectations from the public which triggered various sentiments on social media. This research aims to analyze the sentiment of Twitter social media users towards the Indonesian national team home jersey made by Erspo brand to evaluate product acceptance and identify areas of …

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xvi, 125 hlm.; ilus.; tab.; 29 cm.
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-
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T1800472025
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EVALUASI USER EXPERIENCE PADA WEBSITE GRAHA TEKNOLOGI SRIWIJAYA MENGGUNAKAN M…
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Lahiriah, Uyuun

A website is an important tool for disseminating information and providing digital services. Graha Teknologi Sriwijaya, as a center for innovation and technology in South Sumatra, has an official website that serves as a medium for communication, promotion, and information. However, it is not yet known how users experience the website. This study aims to evaluate the user experience on the Grah…

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xvi, 175 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1798942025
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SENTIMEN ANALISIS ULASAN PENGGUNA APLIKASI WONDR BY BNI DENGAN METODE NAIVE B…
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Putri, Rizky Septiah

The advancement of digital technology has driven the emergence of various financial service applications, including Wondr by BNI, the latest mobile banking app from Bank Negara Indonesia. This study aims to analyze user sentiment toward the application using the Naïve Bayes classification method. A total of 4,970 user reviews from Google Play Store were analyzed following the CRISP-DM framewor…

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xiii, 104 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1797882025
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IMPLEMENTASI ALGORITMA K-MEANS UNTUK PENGELOMPOKAN CUSTOMER CHURN DALAM MENEN…
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Rahmadiana, Reva Nur

Customer churn, or the loss of customers, is a major challenge in the banking industry as it can lead to significant financial losses. This study aims to segment customers based on characteristics that influence churn risk using the K-Means algorithm. The data used is secondary data consisting of a bank customer churn dataset with 9,763 records obtained from the Kaggle platform, processed follo…

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xvii, 117 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1796102025
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ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI INFO BMKG DENGAN METODE SUPPORT VE…
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Selviana, Marcellanisa

The advancement of information technology has driven the development of various mobile applications that facilitate the public in accessing information. One of the important applications in Indonesia is Info BMKG, which provides information related to weather, earthquakes, and climate from the Meteorology, Climatology, and Geophysics Agency (BMKG). Given its vital function, user reviews of this…

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ISBN/ISSN
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xvi, 125 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1797892025
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DETEKSI PELANGGARAN KENDARAAN MELAWAN ARUS LALU LINTAS DI JALAN KOTA PALEMBAN…
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Rifqy, Muhamad Arief

Pelanggaran lalu lintas, khususnya pelanggaran melawan arus lalu lintas, merupakan permasalahan yang sering terjadi di kota besar seperti Palembang dan berpotensi menyebabkan kecelakaan lalu lintas. Penelitian ini bertujuan untuk mendeteksi kendaraan yang melakukan pelanggaran melawan arus lalu lintas serta mengukur tingkat pelanggaran berdasarkan data hasil deteksi. Proses deteksi objek kendar…

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xiii, 97 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1800212025
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DETEKSI PELANGGARAN MELAWAN ARUS LALU LINTAS MENGGUNAKAN ALGORITMA SUPPORT VE…
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Nugroho, Muhammad Adi

This research aims to develop an anti-traffic violation detection system by utilizing a combination of YOLOV8 algorithm used to detect vehicles from traffic video footage and SVM used to classify the violation level into three categories: low, medium, and high. The dataset used consists of 7,412 vehicle images for the YOLO model. For SVM, a reference table of 160 rows will be provided as traini…

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xxiii, 443 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1800202025
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EVALUASI USER EXPERIENCE PADA WEBSITE DIGITAL LIBRARY UNIVERSITAS SRIWIJAYA M…
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Reinaldi, M Rollan

The development of information technology has driven the transformation of library services toward digital platforms, one of which is the Digital Library Universitas Sriwijaya website. This service is designed to provide fast, easy, and flexible access to academic resources. However, the success of digital services is not solely determined by the completeness of the content but also by the user…

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ISBN/ISSN
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xiii, 104 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1800792025
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DETEKSI SERANGAN DDOS PADA SMARTHOME MENGGUNAKAN METODE RANDOM FOREST
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Andrieo, Achmad

The development of Internet of Things (IoT) technology has led to the widespread adoption of smart home devices. However, their connection to the internet also makes them vulnerable to cyberattacks, particularly Distributed Denial of Service (DDoS) attacks. This study aims to implement and evaluate the Random Forest algorithm in detecting DDoS attacks on smart home network environments. The dat…

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xxii, 549 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1831382025
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EVALUASI PENGALAMAN PENGGUNA DOMPET DIGITAL OVO MENGGUNAKAN MECUE QUESTIONNAI…
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Abdillah, Reinaldi

Based on a survey conducted by Insight Asia (2023) and reported through databoks.katadata.co.id, one of the most widely used digital wallet applications by Indonesians is OVO (70%), Dana (61%), ShopeePay (60%), and LinkAja! (27%). Although OVO is one of the digital wallet apps with the largest number of users in Indonesia, it has received a fairly low rating and some negative reviews on the Goo…

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xiii, 48 hlm. : ilus. ; tab. ; 29 cm
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Call Number
T1732212025
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DETEKSI SERANGAN DDOS PADA SMARTHOME MENGGUNAKAN METODE NAÏVE BAYES
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Nandika, Achmad

The rapid development of smart home technology presents new challenges in terms of cybersecurity, particularly against Distributed Denial of Service (DDoS) attacks. This study aims to detect DDoS attacks in smart home networks using the Naïve Bayes algorithm. The dataset used is the COMNETS SMARTHOME dataset in .pcap format, which was converted to .csv using CiCFlowMeter on a Windows environme…

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xvi, 125 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1832432025
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DETEKSI ANCAMAN URL BERBAHAYA BERBASIS EMBEDDING FEATURE EXTRACTION MENGGUNAK…
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Zuhri, Farhan Radhi

Malicious URLs are often used in cyber attacks, especially in an attempt to steal sensitive information, spread malware or commit online fraud. Cybercriminals will usually spread these attacks through fake advertisements, email spam and various other ways to attract victims' attention. There are various ways to prevent these attacks from continuing to occur. This research proposes an innovative…

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xvi, 125 hlm.; ilus.; tab.; 29 cm.
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T1831722025
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PREDIKSI INFLASI HARGA PANGAN MENGGUNAKAN PENDEKATAN MACHINE LEARNING BERBASI…
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Ghazali, Ahmad Alfarrel

Food price inflation is an important economic indicator that can affect the social and economic stability of a country. This study aims to develop a model for predicting food price inflation in Indonesia using a machine learning approach based on multivariate time series. The data used includes monthly inflation variables as well as market price index data such as opening (open), highest (high)…

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xvi, 125 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1831622025
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PREDIKSI SISTEM AUTO-SCALING PADA CLOUD PRIVATE MENGGUNAKAN METODE AUTOREGRES…
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Sinurat, Andreas Bona Fajar

Cloud computing offers flexibility in managing IT resources, particularly through auto-scaling mechanisms that automatically adjust capacity based on workload. In private cloud environments, auto-scaling plays a crucial role in maintaining service availability while minimizing resource waste. However, its effectiveness relies heavily on the system’s ability to accurately predict future worklo…

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ISBN/ISSN
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xvi, 175 hlm.; ilus.; tab.; 29 cm.
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-
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T1831632025
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ANALISIS SENTIMEN INSTAGRAM DAN FACEBOOK TERHADAP KONDISI LALU LINTAS DI KOTA…
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Afkari, Muhammad Arbi Al

Penelitian ini bertujuan membangun model klasifikasi kondisi lalu lintas menggunakan data dari sosial media (Instagram dan Facebook) serta data ETLE dengan arsitektur Recurrent Neural Network. Dari total 1.251 data sosial media yang dikumpulkan, sebanyak 719 data dipilih berdasarkan kemunculan kata kunci “macet”, “sedang”, dan “lancar”. Data ini kemudian dibagi menjadi data latih (5…

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xvii, 117 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T1793872025
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 IMPLEMENTASI DECISION TREE DENGAN BAYESIAN OPTIMIZATION UNTUK MENDETEKSI KE…
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Anderson, Jacky

Traffic congestion is a serious issue that requires data-driven solutions and intelligent technologies. This study proposes a congestion detection system and alternative route recommendation based on a combination of Decision Tree (DT) algorithms optimized using Bayesian Optimization (BO) for classifying traffic conditions, and Ant Colony Optimization (ACO) for determining optimal routes. Input…

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xvii, 64 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T1801312025
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ANALISIS PENGGUNAAN DAN PENERIMAAN MEDIA SOSIAL PEMERINTAH PADA MASYARAKAT PR…
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Oktrisna, Reyhan Putra

Instagram has become one of the most popular platforms, with 86.5% of users making it the second most accessed social media platform in the country by 2024. Almost all government agencies in Indonesia have Instagram accounts to interact with the public, because Instagram is considered one of the effective social media to disseminate information in optimizing government work systems, and improvi…

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xiv, 61 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1793102025
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FAKTOR-FAKTOR SIGNIFIKAN PEMBAYARAN PAJAK KENDARAAN BERMOTOR RODA DUA MELALUI…
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Azhari, Ahmad Hanif

This study aims to analyze the factors influencing the use of the SIGNAL application for two-wheeled motor vehicle tax payments at the Palembang City Samsat Office 01. The research adopts the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with a quantitative approach. Data were collected through questionnaires and analyzed using the Partial Least Squares Structural Equation…

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xvi, 125 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1796282025
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CLINICAL NAMED ENTITY RECOGNITION PADA DATA BIOMEDIS MENGGUNAKAN VARIAN MODEL…
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Oktarina, Tiara

This study aims to develop a system capable of identifying and classifying medical entities from unstructured biomedical texts, thereby supporting Clinical analysis and health research. The author trained and evaluated three BERT-based models: BioBERT, Clinical BERT, and BlueBERT, for the task of Clinical Named Entity Recognition (CNER). Model performance was measured using precision, recall, a…

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xvii, 117 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1794732025
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SISTEM PENGELOLAAN ADMINISTRASI AKADEMIK KAMPUS MENGGUNAKAN BLOCKCHAIN BERBAS…
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Al-Muthok, Muhammad Nauval Afra Fadly Rohman

The academic administration system at the Faculty of Computer Science, Sriwijaya University, remains semi-digital and fragmented, causing inefficiency, human error risks, and lack of transparency and document authenticity. This research designs a blockchain-based academic administration system using a Proof-of-Authority (PoA) consensus mechanism to enhance efficiency, transparency, and security…

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xvii, 117 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1802392025
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ANALISIS PENGARUH VARIABEL-VARIABEL DALAM METODE TECHNOLOGY ACCEPTANCE MODEL …
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Cahyani, Regina Putri

The Environmental Complaint Information System (SiPeduli) is a complaint application managed by the Environmental Agency of Palembang City, designed to receive public complaints regarding environmental issues in the city. These issues include environmental cleanliness, illegal waste disposal, hazardous and toxic waste (B3 waste), environmental pollution, and retribution. Complaints submitted by…

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xvi, 125 hlm.; ilus.; tab.; 29 cm
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.
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T1800822025
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APPLICATION OF THE GAME EXPERIENCE QUESTIONNAIRE AND PLAYER EXPERIENCE OF NEE…
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Ibrahim, Zicko Muhammad Alrizki

Nowadays, video games are getting popular due to the rapid growth of technology, especially mobile technology. Video games are now able to be played on mobile devices whether in single or multiplayer mode by using the internet and it's free and available everywhere. Understanding player experience in mobile video games is essential for developers and researchers. This research evaluates player …

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xiv, 58 hlm.; ilus.; 29 cm
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-
Call Number
T1445642024
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ANALISIS TINGKAT KEPUASAN PENGGUNA APLIKASI ZALORA DENGAN METODE EUCS
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Budiman, Muhammad Arif

Zalora is an E-Commerce application founded in 2012 in Singapore and now operates in various countries, including Indonesia. Although widely known, this application still has a number of complaints from users such as product incompatibility, delays in process updates, and less than optimal application performance. This study aims to evaluate the level of user satisfaction of the Zalora applicat…

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xxii, 549 hlm.; ilus.; tab.; 29 cm.
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-
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T1792052025
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PENINGKATAN KINERJA KLASIFIKASI ARITMIA PADA SINYAL FETAL ELEKTROKARDIOGRAM B…
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Erizka, Rosa Julia

This study aims to improve the performance of arrhythmia classification in deep learning models using the Teaching Learning Based Optimization (TLO) algorithm for feature optimization. The features used are extracted from the time domain of RR intervals obtained during the preprocessing stage. The NIFEA-DB and NIFECG datasets are utilized in this study, with R-peaks extracted using the Heartpy …

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xxi, 358 hlm.; ilus.; tab.; 29 cm.
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-
Call Number
T1785852025
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