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Found 3035 from your keywords: subject="Sistem"
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PERBANDINGAN ALGORITMA SVM DAN NAIVE BAYES DALAM ANALISIS SENTIMEN TERHADAP U…
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Alghifari, M. Yasir

Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, st…

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xvii, 78 hlm.; ilus.; tab.; 29 cm.
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T1895302025
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SENTIMENT-BASED KNOWLEDGE DISCOVERY PADA REVIEW APLIKASI WONDR BY BNI MENGGUN…
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Zafira, Zahra Tri

The rapid development of digital banking services has necessitated a deeper understanding of user perceptions and satisfaction levels. This study analyzes sentiment from user reviews of the Wondr by BNI app using a Knowledge Discovery approach and machine learning methods. Three classification algorithms were compared: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naive Bayes, eva…

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xviii, 88 hlm.; ilus.; tab.; 29 cm.
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T1895552025
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IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK DENGAN ARSITEKTUR MOBILENETV3 PADA …
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Purba, Kevin Agustin

Tomatoes are a horticultural commodity whose quality and nutritional content are strongly influenced by their ripeness level. In practice, tomatoes are often sorted manually based on ripeness, which leads to inconsistent results due to the limitations of human visual perception. This problem highlights the need for an objective and fast tomato ripeness classification system. This study aims to …

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xv, 82 hlm.; ilus.; tab.; 29 cm.
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T1895262025
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STUDI KOMPARATIF ALGORITMA KLASIFIKASI DALAM MENGANALISIS SENTIMEN APLIKASI S…
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Anadia, Qothrunnada Wafi

Public service applications such as SIGNAL facilitate the public in accessing information and making motor vehicle tax payments. However, the diversity of user reviews indicates the need to evaluate public perceptions through sentiment analysis. This study compares the performance of four classification algorithms Naïve Bayes, Random Forest, Decision Tree, and SVM in analyzing 36,000 user revi…

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xv, 70 hlm.; ilus.; tab.; 29 cm.
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T1895352025
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ANALISIS PENGARUH SOCIAL CUSTOMER RELATIONSHIP MANAGEMENT (SCRM) MELALUI INST…
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Gustiani, Sindy

Technological developments and social media have changed the way public institutions communicate, including in building their image and encouraging public engagement. However, in practice, Bank Indonesia South Sumatra's digital communication tends to be one-way with low public interaction, so that the effectiveness of the communication strategy has not been optimally achieved. This condition ra…

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xx, 152 hlm.; ilus.; tab.; 29 cm.
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T1895112025
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PERBANDINGAN KINERJA LSTM, RANDOM FOREST, DAN SVR BERBASIS KNOWLEDGE DISCOVER…
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Bahri, Cheisya Andini

Rice is a primary staple food in Indonesia, particularly in South Sumatra Province. In February 2024, BBC News Indonesia reported that the price of premium rice surged to Rp18,000 per kilogram, marking the highest price in the country’s history. To anticipate and predict similar spikes in the future, this study applies a Knowledge Discovery approach and compares three machine learning models:…

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xvi, 96 hlm.; ilus.; tab.; 29 cm.
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T1895362025
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KLASIFIKASI SENTIMEN ULASAN TIKTOK PADA ALMAZ FRIED CHICKEN MENGGUNAKAN INDOB…
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Zaki, Imam Syahputra

The socio-political context surrounding the Indonesian Ulema Council's Fatwa No. 83 of 2023, which catalyzed a significant consumer shift, necessitates an accurate measure of public sentiment toward alternative local brands like Almaz Fried Chicken. Analyzing real-time consumer discourse on the challenging TikTok platform, the study utilized a final dataset of 4,374 unique comments to overcome …

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xix, 95 hlm.; ilus.; tab.; 29 cm.
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T1895452025
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ANALISIS OPINI MASYARAKAT TERHADAP MEDIA SOSIAL INSTAGRAM @rsbundapalembang M…
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Alfandy, Muhammad Tri

The use of social media by hospitals as a public communication platform presents challenges in understanding diverse public opinions expressed through online comments. RS Bunda Palembang utilizes Instagram to disseminate information and receive public feedback; however, the large volume of comments with varying sentiments makes it difficult for management to identify public perceptions accurate…

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xvi, 124 hlm.; ilus.; tab.; 29 cm.
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T1895882025
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HUBUNGAN TINGKAT KESADARAN DENGAN TINGKAT KEBERHASILAN OPERASI PADA PASIEN EP…
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Meliala, Caroline Yemima Agita Sembiring

Background: Epidural hematoma (EDH) is defined as the accumulation of blood between the dura mater and the internal table due to trauma. Epidural hematoma occupies intracranial space, which can cause rapid expansion of bleeding. This causes pressure on the brain and triggers clinical manifestations such as decreased consciousness, reversible or irreversible disability, and even death. GCS is th…

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xvi, 64 hlm.; ilus.; tab, 29 cm
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T1876032025
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IMPLEMENTASI SISTEM DETEKSI KETERSEDIAAN SLOT PARKIR MOTOR DI FASILKOM UNSRI …
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Hustha, Fariz

Motorcycle parking is a problem for students, lecturers, and employees at Fasilkom UNSRI Bukit Besar campus Palembang due to limited parking space and lack of information about empty parking slots. This causes difficulties in finding a safe and convenient parking lot, as well as wasting time and fuel. The purpose of this research is to develop a motorcycle parking slot availability detection sy…

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xiii, 35 hlm.; ilus.; 29 cm
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T1520762024
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HUBUNGAN FORWARD HEAD POSTURE (FHP) DENGAN NYERI LEHER PADA SISWA SDN 149 PAL…
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Zahrotunnisa, Citra Ananda

Neck pain is one of the most common musculoskeletal complaints across various age groups, including elementary school-aged children, and may be influenced by postural factors such as Forward Head Posture (FHP). This study aimed to analyze the relationship between FHP and neck pain among elementary school students. An observational analytic study with a cross-sectional design was conducted invol…

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xix, 80 hlm.; ilus.; tab, 29 cm
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T1874112025
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ANALISIS DAMPAK QUANTUM COMPUTING TERHADAP KEAMANAN SISTEM KRIPTOGRAFI KONVEN…
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Ruswanto, Hadi

Kemajuan komputasi kuantum membawa tantangan besar bagi keamanan sistem kriptografi konvensional yang saat ini banyak digunakan, seperti RSA dan ECC, yang bergantung pada kesulitan komputasi faktorisasi bilangan besar dan logaritma diskret. Penelitian ini bertujuan untuk menganalisis dampak dari komputasi kuantum terhadap algoritma kriptografi konvensional dengan menggunakan simulasi algoritma …

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xv, 99 hlm.; ilus.; tab.; 29 cm.
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T1839992025
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PENGARUH MEDIASI SISTEM INFORMASI TERHADAP SIKAP INDIVIDU DALAM MENINGKATKAN …
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Haniffia, Rahma

Knowledge is the result of learning experiences in the form of information whose accuracy can be trusted based on facts. Improving student performance requires good knowledge. In this case, it is supported by several aspects that can act as mediators to trigger individual attitudes in increasing awareness of sharing their knowledge. The theories underlying this research are Knowledge Based Theo…

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xiv, 58 hlm.; ilus.; 29 cm
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Call Number
T1575442024
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ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN YOLOv8 DENGAN AL…
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Amrullah, Mahbub

Penelitian ini mengusulkan pendekatan hibrida untuk mendeteksi kemacetan lalu lintas dengan menggabungkan data visual dari CCTV, yang diproses menggunakan algoritma YOLOv8, dan data opini publik dari komentar Instagram, yang dianalisis menggunakan algoritma Gated Recurrent Unit (GRU). Dataset yang digunakan terdiri dari 7.680 citra berlabel dan 660 komentar media sosial. Hasil deteksi kendaraan…

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xv, 94 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1838632025
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PENERAPAN METODE EXTREME GRADIENT BOOSTING UNTUK DETEKSI MULTI-CLASSIFICATION…
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Sangsoko, Edwar Azy

In the developing digital era, cybersecurity threats are increasing. One of the solutions commonly used in securing networks is the Network Intrusion Detection System (NIDS). To improve the performance of NIDS, this study applies the Machine Learning (ML) method, namely the Extreme Gradient Boosting (XGBoost) method, because it is considered to have high performance and its ability to handle co…

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xiv, 95 hlm.; ilus.; tab.; 29 cm
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T1842022025
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ANALISIS PEMENUHAN KEBUTUHAN FOLLOWERS INSTAGRAM @RSBUNDAPALEMBANG MENGGUNAKA…
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Afif, Muhammad Zahran

This study aims to analyze the needs fulfillment of @rsbundapalembang Instagram followers using the Uses and Gratifications theory. This study measures the influence of usage motives (Gratification Sought) on the satisfaction obtained (Gratification Obtained) through a quantitative approach with a sample of 89 respondents analyzed using PLS-SEM. The results show that Gratification Sought has a …

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xiv, 99 hlm.; ilus.; tab.; 29 cm.
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T1895752025
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FINE TUNING INDOBERT UNTUK ANALISIS SENTIMEN PADA ULASAN PENGGUNA APLIKASI ZA…
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Faiq, Al Ikhsan

This study investigates sentiment in user reviews of the Zalora Android application on Google Play using a hybrid approach that fine-tunes IndoBERT and integrates a TF-IDF Logistic Regression ensemble with inference-time adjustments. A corpus of 29,066 reviews was preprocessed and split with a stratified hold-out; class imbalance was handled on the training partition. The pipeline applies proba…

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xiv, 87 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1894642025
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PENGEMBANGAN GAME EDUKASI VIRTUAL KAMPUS UNIVERSITAS SRIWIJAYA PADA PLATFORM …
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Hakim, Adzka Fahmi Aulia

Digital transformation compels educational institutions to innovate by providing interactive promotional media to enhance student interest. This study aims to develop a virtual campus educational game for Universitas Sriwijaya Palembang on the Roblox platform as an immersive orientation medium. The development utilizes the Multimedia Development Life Cycle (MDLC) method, spanning six systematic…

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xv, 95 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1894682025
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KOMPARASI KLASTERISASI DATA HISTORIS GEMPA BUMI MENGGUNAKAN DBSCAN, K-MEANS, …
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Lakeisyah, Eka Therina

Earthquakes belong to the category of natural disasters that are prone to occur on the island of Sumatera and pose a serious challenge because they can have a devastating impact on human life, such as loss of life, material losses, and environmental damage. Consequently, earthquake hazard zone mapping is needed to provide information about the potential and history of disasters and is an import…

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xv, 77 hlm.; ilus.; tab.; 29 cm.
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T1894252025
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KOMPARASI XGBOOST DAN LSTM DALAM PROSES KNOWLEDGE DISCOVERY BERBASIS ANALISIS…
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Risyahputri, Aliyananda

Generative AI has provided real benefits in key sectors of the public sector. However, the rapid expansion of AI assistant services also raises concerns about whether newly released products can consistently meet user expectations, especially as negative experiences are increasingly expressed through public reviews. Its positive impacts encourage competitive rivalry among AI assistant product d…

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xvii, 94 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1894212025
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INTEGRASI ANALISIS SENTIMEN DAN FRAMEWORK CSI-IPA UNTUK PENGEMBANGAN PRODUK A…
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Marshella, Siti Hariza

This study integrates Aspect-Based Sentiment Analysis with Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to determine priority development features in digital service applications in the telecommunications sector. A total of 10,000 MyIM3 user reviews were analyzed using Fine-Tuned IndoBert with 93% accuracy, then negative sentiment was mapped into several topics us…

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xvi, 88 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1894122025
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EDUSAWIT: IMPLEMENTASI AUGMENTED REALITY DALAM EDUKASI TANAMAN KELAPA SAWIT R…
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Pratama, Muhammad Ramadhan Putra

This study aims to develop the EduSawit application as an Augmented Reality (AR)-based learning medium to support environmentally friendly oil palm cultivation education. The research method uses the Multimedia Development Life Cycle (MDLC), which includes the conceptualization, design, material collection, assembly, testing, and distribution stages. Functional testing was conducted using Black…

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xv, 83 hlm.; ilus.; tab.; 29 cm.
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T1895592025
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SENTIMENT-BASED KNOWLEDGE DISCOVERY PADA APLIKASI IPUSNAS MENGGUNAKAN METODE …
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Ayuningtiyas, Pratiwi

iPusnas is a digital library application with over 1.5 million users, but only received a rating of 2.0. This study conducted a sentiment analysis on 7,596 reviews obtained through web scraping using Google Play Scraper. The data was processed through case folding, data cleaning, tokenization, stopword removal, and stemming, then automatically labeled based on the rating. The dataset was divide…

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xvii, 100 hlm.; ilus.; tab.; 29 cm.
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T1895582025
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PENGARUH KNOWLEDGE MANAGEMENT DAN DIGITAL COMPETENCE TERHADAP KINERJA KARYAWA…
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Sabila, Amalia

Rapid technological changes in the Industry 5.0 era have made digital knowledge and skills more important. There are inconsistent results in previous studies. Based on the Knowledge-Based View (KBV) theory, this study analyzes how knowledge management and digital competence directly and indirectly affect employee performance through innovative work behavior. Data were obtained through a questio…

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xx, 151 hlm.; ilus.; tab.; 29 cm.
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T1895702025
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PENGUKURAN KESIAPAN ADOPSI TEKNOLOGI INFORMASI SISTEM PENGELOLAAN ASET DESA (…
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Basulina, Nur Annisa

MEASURING THE READINESS TO ADOPT THE VILLAGE ASSET MANAGEMENT SYSTEM (SIPADES) INFORMATION TECHNOLOGY IN EAST OGAN KOMERING ULU REGENCY USING THE COMMUNITY READINESS MODEL By Nur Annisa Basulina 09031182227022 ABSTRACT Village asset management is an important aspect in improving the accuracy and transparency of village administration. To support this process, the Village Asset Management System…

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xv, 105 hlm.; ilus.; tab.; 29 cm.
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T1895692025
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PENGUKURAN TINGKAT KESIAPAN ADOPSI TEKNOLOGI SISTEM INFORMASI LEARNING MANAGE…
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Wirnanti, Rintan

The implementation of a Learning Management System (LMS) in schools is important to help improve teacher performance and to determine the level of teacher readiness before implementation begins. This study provides a sufficient basis for schools to plan the effective implementation of LMS. This study aims to determine the extent to which teachers at SDN 2 Betung are ready and accept the use of …

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xvi, 77 hlm.; ilus.; tab.; 29 cm.
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T1895712025
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VISUALISASI TRAFIK SERANGAN SIBER DENGAN METODE GEO IP
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Dewantara, M. Aditya

The escalation of cyber attack activities demands intensive network traffic monitoring by network administrators. However, conventional monitoring methods relying on text-based log analysis are often inefficient due to the difficulty in rapidly identifying attack patterns and origins. This study aims to design and build a cyber attack traffic visualization system by applying the Geo IPmethod. T…

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xv, 96 hlm.; ilus.; tab.; 29 cm.
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T1894712025
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PENGUKURAN KUALITAS PENGALAMAN PENGGUNA APLIKASI MYPERTAMINA DENGAN PENDEKATA…
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Titiana, Nuke Merisca

The rapid growth of digital public services highlights the importance of applications with high usability to support effective user interaction. MyPertamina, a platform for fuel payments and subsidy services, has received various user complaints related to navigation clarity, registration procedures, and overall usage flow. This study aims to evaluate the user experience quality of the MyPertam…

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xv, 67 hlm.; ilus.; tab.; 29 cm.
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T1894932025
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ANALISIS PERHATIAN VISUAL DAN USABILITY PADA TAMPILAN UI WEBSITE GRAMEDIA DIG…
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Tsabitah, Laila

The Gramedia Digital website, a digital reading service platform, has been identified as facing usability and visual clarity challenges that could potentially hinder efficiency and user experience. Therefore, this study combines two methods: Eye Tracking using RealEye.io and Usability Testing through Maze.co to evaluate the interface and user interactions comprehensively. The testing through Re…

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xvii, 106 hlm.; ilus.; tab.; 29 cm.
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T1894822025
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ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP EKSPLOITASI TAMBANG NIKEL DI RAJA A…
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Karima, Dzakiah Aulia

Nickel mining in Raja Ampat has triggered significant public reaction, particularly on social media, due to its environmental and social impacts. However, public opinion on this issue has not been systematically analyzed. This study aims to examine public sentiment toward this issue using the Aspect-Based Sentiment Analysis (ABSA) approach with four classification algorithms, Support Vector Mac…

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xvii, 104 hlm.; ilus.; tab.; 29 cm.
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-
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T1894902025
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