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ANALISIS KUALITAS DISASTER RECOVERY CENTER (DRC) DENGAN PARAMETER QUALITY OF …
Disaster Recovery Center (DRC) is an essential solution for maintaining the continuity of information technology services during disruptions. This study analyzes the quality of DRC using Quality of Service (QoS) parameters, namely throughput, delay, jitter, and packet loss, with the Multivariate Analysis of Variance (MANOVA) method. Implementation was done with a hot standby topology and testin…
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- xvi, 165 hlm.; ilus.; tab.; 29 cm.
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- T1842172025
PENGGUNAAN TASK CENTERED SYSTEM DESIGN DALAM INTERFACE SISTEM INFORMASI DATA …
Perkembangan teknologi informasi dan komunikasi saat ini telah berkembang dengan pesat, hal tersebut mendorong pemerintah untuk menyediakan layanan berbasis digital, termasuk dalam pengelolaan data demografi kependudukan. Penelitian ini bertujuan untuk menerapkan metode Task-Centered System Design (TCSD) dalam merancang Sistem Informasi Data Demografi Kabupaten Muara Enim. Metode TCSD dipilih u…
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- xv, 70 hlm.; ilus.; tab.; 29 cm.
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- T1894502025
PENGUKURAN KESIAPAN ADOPSI TEKNOLOGI INFORMASI (IT ADOPTION) PADA MASYARAKAT …
The development of information technology has great potential to improve the effectiveness and productivity of the agricultural sector; however, its success largely depends on the readiness of its users, particularly farmers in rural areas. This study aims to measure the level of information technology adoption readiness among the farmers of Gelebak Dalam Village, Rambutan District, Banyuasin R…
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- xvi, 77 hlm.; ilus.; tab.; 29 cm.
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- T1894322025
PENGUKURAN TINGKAT KAPABILITAS TATA KELOLA TEKNOLOGI INFORMASI PADA APLIKASI …
The TeleOTIVA application is an artificial intelligence-based application developed by the ISys Research Group, a research group at Sriwijaya University, in collaboration with Mohammad Hoesin General Hospital to detect cervical cancer in female patients. However, after interviewing the ISys Research Group, it was found that this relatively new application has potential problems in terms of secu…
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- xviii, 130 hlm.; ilus.; tab.; 29 cm.
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- T1737762025
ANALISIS KLASTERISASI KUALITAS INTERNET SELULER MENGGUNAKAN METODE K-MEANS DA…
Penelitian ini menggunakan data jaringan internet dari Ookla Open Data (Speedtest Global Performance) yang mencakup tiga variabel utama, yaitu kecepatan unduh (download speed), kecepatan unggah (upload speed), dan latensi (latency). Tujuan penelitian ini adalah menganalisis kondisi dan performa jaringan internet seluler di 17 kabupaten/kota Provinsi Sumatera Selatan tahun 2025 serta memberikan …
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- xiii, 101 hlm.; ilus.; tab.; 29 cm.
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- T1894632025
ANALISIS KOMPARASI KINERJA INDOBERT FINE-TUNED DAN HYBRID SUPPORT VECTOR MACH…
The low rating of the BeOne HRIS application on the Google Play Store indicates user dissatisfaction that requires strategic evaluation through automated sentiment analysis. This study aims to compare the effectiveness of a transformer-based Deep Learning model, namely IndoBERT Fine-tuned, against a hybrid approach that combines IndoBERT as a feature extractor with a Support Vector Machine (SVM…
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- xvi, 109 hlm.; ilus.; tab.; 29 cm.
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- T1894522025
KNOWLEDGE DISCOVERY BERDASARKAN ANALISIS SENTIMEN TERHADAP PERSEPSI PUBLIK TE…
Generative Artificial Intelligence (GenAI) has developed rapidly with various applications that facilitate content production but raise concerns regarding ethics, privacy, and copyright. Public perception of this technology is crucial to understand as it influences social acceptance and the direction of policy development. This study aims to map public sentiment toward GenAI on the social media…
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- xv, 106 hlm.; ilus.; tab.; 29 cm.
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- T1894282025
ANALISIS PENGARUH MEDIA SOSIAL TERHADAP EFISIENSI PENJUALAN PRODUK DIGITAL PA…
The digital era has established social media as an effective marketing tool for digital products. Nevertheless, there remains a research gap concerning how specific elements of Social Media Marketing Activities (SMMA) influence Digital Product Sales Efficiency (DPSE) on creator aggregator platforms like Lynk.id. This research, therefore, aims to test the influence of five SMMA dimensions namely…
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- xvi, 106 hlm.; ilus.; tab.; 29 cm.
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- T1894292025
PENERAPAN FINE-TUNING INDOBERT UNTUK STANCE DETECTION PADA KOMENTAR PEMBATALA…
TikTok has evolved into an arena for polarized public opinion, particularly concerning the cancellation of musician Hindia's concert due to issues of satanic symbolism. This study applies the IndoBERT P2 model for stance detection on 2,306 Indonesian comments collected from June 18 to July 20, 2025. Challenges involving noisy data and class imbalance were addressed using the Random Oversampling…
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- xvi, 88 hlm.; ilus.; tab.; 29 cm.
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- T1894012025
PEMANFAATAN FLOATING ACTIONS BUTTON (FAB) DALAM PERANCANGAN USER INTERFACE PA…
The ease of users in accessing an information system is greatly influenced by the interface layout. Based on previous studies, the Academic Information System of Sriwijaya University shows that the layout of several navigation menus is not well organized, and the website display on mobile devices remains too crowded." This research aims to utilize the Floating Action Button (FAB) design element…
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- xviii, 92 hlm.; ilus.; tab.; 29 cm.
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- T1894492025
KNOWLEDGE DISCOVERY PADA CHURN PELANGGAN E-COMMERCE MENGGUNAKAN INTERPRETABLE…
Customer churn remains a major challenge in the e-commerce industry as it directly impacts revenue and long-term customer value. This study applies an interpretable machine learning approach to not only predict churn but also identify the key factors influencing it. The analysis uses a publicly available dataset containing customer behavior and transaction records, with data preparation steps i…
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- xvi, 95 hlm.; ilus.; tab, 29 cm
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- T1894542025
ASPECT-BASED SENTIMENT ANALYSIS DAN KNOWLEDGE EXTRACTION UNTUK EVALUASI PERSE…
The rapid growth of digital wallet usage in Indonesia has raised concerns regarding user security and account protection. This study evaluates user sentiment related to the security features of the DANA digital wallet by applying Aspect Sentiment Classification (ASC), a subtask of Aspect-Based Sentiment Analysis (ABSA). A total of 4,846 security-related reviews were collected using keyword-base…
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- xvii, 101 hlm.; ilus.; tab, 29 cm
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- T1894112025
KLASIFIKASI PENYAKIT MATA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) : PE…
This study examines the use of the Convolutional Neural Network (CNN) algorithm for eye disease classification based on retinal images. The research methodology involves collecting a dataset from the Kaggle website, named eye_disease_classification, which includes four main categories: normal, cataract, diabetic retinopathy, and glaucoma, with a total of 4,233 images before augmentation. The da…
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- xiv, 62 hlm.; ilus.; tab, 29 cm
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- T1894082025
ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X TERHADAP FILM SORE: ISTRI DARI MASA…
Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…
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- xvi, 131 hlm.; ilus.; tab, 29 cm
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- T1893632025
PENILAIAN TINGKAT KAPABILITAS TATA KELOLA APLIKASI SIAP KOJA BERDASARKAN FRAM…
This study assesses the IT governance capability of the SIAP KOJA application at the Jambi City Department of Communication and Informatics (Diskominfo). SIAP KOJA was introduced to strengthen attendance discipline, transparency, and accountability through geofencing and biometric features. Using the COBIT 2019 framework, the assessment aligns IT processes with institutional objectives and focu…
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- xv, 99 hlm.; ilus.; tab, 29 cm
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- T1894052025
KNOWLEDGE DISCOVERY: ANALISIS SENTIMEN DAN EMOSI WHATSAPP BUSINESS DENGAN MAC…
WhatsApp Business is one of the platforms that provides direct, fast, and efficient business communication services. This research was conducted to evaluate user perceptions of WhatsApp Business thru an in-depth sentiment analysis and emotion classification approach applied to user reviews. The data used consisted of 3,000 reviews collected thru scraping techniques, which were then processed th…
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- xvi, 83 hlm.; ilus.; tab, 29 cm
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- T1894142025
KNOWLEDGE DISCOVERY MENGGUNAKAN ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA UL…
The rapid growth of mobile banking in Indonesia underscores the need for secure and innovative digital financial services. However, studies that compare user experiences across multiple applications within the same bank remain limited. To address this research gap, we analyze BCA’s two primary applications, BCA Mobile and myBCA, which serve millions of users in Indonesia. Data collected from …
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- xvii, 97 hlm.; ilus.; tab, 29 cm
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- T1892802025
KNOWLEDGE DISCOVERY MELALUI ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN PENG…
BYOND by BSI is the latest application developed from BSI Mobile by Bank Syariah Indonesia as part of its digital banking transformation. The quality of this application can be evaluated through user reviews on the Google Play Store; however, the large volume of reviews creates challenges in extracting meaningful information. This study applies an Aspect-Based Sentiment Analysis (ABSA) approach…
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- xvii, 96 hlm.; ilus.; tab, 29 cm
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- T1893962025
PERSEPSI KEMACETAN LALU LINTAS DI KOTA PALEMBANG BERDASARKAN ANALISIS SENTIME…
Traffic congestion in Palembang City is a frequent problem that impacts community activities and productivity. This study aims to analyze public perceptions of traffic congestion in Palembang City through sentiment analysis on Facebook social media using the Decision Tree Algorithm. Data were collected through web scraping techniques on public comments related to text data traffic over a 32-mon…
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- xvi, 146 hlm.; ilus.; tab, 29 cm
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- T1892832025
EVALUASI KETERLIBATAN MASYARAKAT DI YOUTUBE PEMERINTAH : DURASI, JUDUL DIALOG…
Dalam era digital yang semakin canggih, keterlibatan masyarakat di media sosial pemerintah menjadi sangat penting. Tingkat kepercayaan masyarakat terhadap pemerintah memengaruhi partisipasi mereka, di mana kepercayaan yang rendah dapat mengakibatkan penurunan partisipasi dan keengganan untuk menerima informasi dari pemerintah. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang mempe…
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- xvii, 82 hlm.; ilus.; 29 cm
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- T1521772024
SIMULASI DETEKSI PELANGGARAN PENGGUNAAN HELM DAN KECEPATAN KENDARAAN MENGGUNA…
This research will focus on developing and testing a helmet violation and vehicle speed detection system based on the YOLO algorithm and classification using a Convolutional Neural Network (CNN). The purpose of writing this thesis is to implement the YOLOv8 algorithm for Detecting Helmet Violations and Vehicle Speed, calculating the accuracy level of the detection system using You Only Look Onc…
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- xii, 75 hlm.; ilus.; 29 cm
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- T1520552024
DETEKSI PELANGGARAN DAN KECEPATAN KENDARAAN MENGGUNAKAN YOLO DAN ALGORITMA DE…
The purpose of this research is to create a detection system for violations of not using helmets and speed limit violations at several road points in Palembang City. This research uses YOLOv8 combined with Deepsort to detect the number of vehicles, especially the class of motorcycles not using helmets and speed detection. As a result, the accuracy of detection of violations not using helmets re…
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- xv, 130 hlm.; ilus.; 29 cm
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- T1520562024
STRATEGI PENGEMBANGAN DAN POTENSI EKOSISTEM MANGROVE PULAU PASIR TIMBUL, DESA…
Ecotourism is an activity that links tourism activities with aspects of nature conservation, socio-cultural economy and aspects of learning and education. Ecotourism is derived from the term ecotourism which means ecological tourism. From this, ecotourism is a form of tourist travel to natural areas that is carried out with the aim of conserving the environment and preserving the lives and welf…
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- ix, 74 hlm.; ilus.; 29 cm
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- T1589032024
ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP TAMAN WISATA ALAM PUNTI KAYU BERDAS…
Tourism as one of the sectors that contribute to economic growth in Indonesia requires special attention to be continuously evaluated. Traveler reviews on social media such as Google Maps can be used to evaluate the quality of tourist attractions. This research focuses on conducting an aspect-based sentiment analysis of one of the tourist attractions in Palembang, namely Punti Kayu Nature Park …
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1564682024
PERANCANGAN ARSITEKTUR MICROSERVICE UUNTUK SISTEM INFORMASI PERUSAHAAN ACADEM…
PT XYZ Academy is an information technology education and training institution in Indonesia under PT XYZ Group. It focuses on the growing need for skilled workers in the IT sector through various training and certification programs in areas such as software development, computer networking, information security, and system administration. Even so, PT XYZ Academy's website, which uses a monolith…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1564822024
FAKTOR-FAKTOR YANG MEMENGARUHI HANTARAN SARAF PERIFER PADA ANAK DIABETES MELL…
Contributing Factors to Peripheral Nerve Conduction in Children with Type 1 Diabetes Background: (T1DM) in children results from autoimmune destruction of pancreatic β-cells, leading to absolute insulin deficiency and chronic hyperglycemia. This condition poses a risk for long-term complications, including diabetic peripheral neuropathy, which may affect sensory, motor, or autonomic nerves and…
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- xv, 76 hlm.; ilus.; tab, 29 cm
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- T1806162025
FAKTOR RISIKO GANGGUAN PERILAKU PADA ANAK DENGAN DIABETES MELITUS TIPE-1
Anak dengan diabetes melitus tipe 1 (DMT1) memiliki risiko lebih tinggi mengalami gangguan perilaku akibat beban penyakit kronis yang dialaminya. Gangguan ini dapat memengaruhi perkembangan sosial, prestasi akademik, dan kualitas hidup secara keseluruhan. Penelitian ini bertujuan mengetahui prevalensi dan faktor risiko gangguan perilaku pada anak dengan DMT1. Penelitian observasional analitik d…
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- xvi, 76 hlm.; ilus.; tab, 29 cm
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- T1816702025
KNOWLEDGE DISCOVERY BERBASIS TOPIC MINING TERHADAP KEBUTUHAN INFORMASI KESEHA…
Understanding the user’s need for health information has become increasingly important as the use of digital health services has grown. However, the unstructured data of user-generated questions presents challenges in capturing and analyzing these needs. This study contributes to addressing SDG 3 (Good Health and Well-Being) by using topic mining-based knowledge discovery to identify the main…
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- xv, 99 hlm.; ilus.; tab, 29 cm
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- T1893712025
ANALISIS KEPUASAN PENGGUNA PADA PLATFORM E-HEALTH MENGGUNAKAN ENSEMBLE LEARNI…
The SATUSEHAT application, developed by Indonesia’s Ministry of Health, is a vital digital public service that combines health and technology to promote national development. To assess its impact, this study evaluates public satisfaction with SATUSEHAT by analyzing over 30,000 user feedback from the Google Play Store. Specifically, the research seeks to compare the effectiveness of single and…
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- xvii, 85 hlm.; ilus.; tab, 29 cm
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- T1893722025
IMPLEMENTASI ALGORITMA REGRESI LINEAR UNTUK MEMPREDIKSI PENJUALAN MOTOR DOMES…
Motorcycle sales in Indonesia continue to fluctuate in both domestic and export markets, creating the need for sales prediction to support decision-making in the automotive industry. This study aims to predict domestic and export motorcycle sales using the linear regression algorithm supported by the RapidMiner application. The data were obtained from the Indonesian Motorcycle Industry Associat…
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- x, 10 hlm.; ilus.; tab, 29 cm
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- T1886572025
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