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PENGUKURAN KESIAPAN ADOPSI TEKNOLOGI INFORMASI PADA MASYARAKAT TANI DESA GELE…
This study aims to measure the digital literacy index of the farming community in Gelebak Dalam Village, Rambutan Subdistrict, Banyuasin Regency, using the Digital Literacy Index method, which consists of four dimensions, namely Digital Skills, Digital Ethics, Digital Safety, and Digital Culture. The research method used is descriptive quantitative with data collection techniques through questi…
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- xvi, 84 hlm.; ilus.; tab.; 29 cm.
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- T1895062025
CARA-MATA : APLIKASI DETEKSI DINI KATARAK BERBASIS DEEP LEARNING MENGGUNAKAN …
Cataracts are the leading cause of blindness worldwide and in Indonesia, which are often treated too late due to limited access to medical services, especially in remote areas. Early detection is crucial to prevent more severe visual impairment. This study aims to develop a mobile application called CARA-Mata that utilizes Deep Learning technology with YOLOv11 architecture to detect cataracts e…
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- xvi, 102 hlm.; ilus.; tab.; 29 cm.
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- T1895902025
APLIKASI EVALUASI PENJUALAN PADA TOKO GEMA BERBASIS WEB
Sales evaluation application is intended to increase efficiency in terms of making sales reports. Therefore it is necessary to conduct research to develop sales evaluation applications. The purpose of this application is to provide convenience to employees and leaders of the echo store in making reports and being able to find out sales transaction targets. This research was conducted using obse…
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- xiv, 76 hlm.; ilus.; 29 cm
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- T1516702024
PENERAPAN TEKNOLOGI AUGMENTED REALITY UNTUK SIMULASI KACA HIAS DENGAN METODE …
Perkembangan teknologi Augmented Reality (AR) memberikan peluang baru dalam penyajian media promosi yang lebih interaktif, khususnya pada industri interior bangunan seperti produk kaca hias. Penelitian ini mengembangkan aplikasi mobile berbasis AR dengan metode markerless tracking yang memungkinkan pengguna mensimulasikan motif kaca patri dan kaca inlay secara langsung pada bidang nyata. Fitur …
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- xvi, 102 hlm.; ilus.; tab.; 29 cm.
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- T1894992025
ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK PREDIKSI KATEGORI PENJ…
The rapid growth of the cosmetics industry on e-commerce platforms has intensified competition, creating a critical need for effective, data-driven marketing strategies. This study aims to conduct a comparative analysis of machine learning algorithms to predict the sales categories (High, Medium, Low) of cosmetic products on the Tokopedia marketplace. Four classification models; Random Forest, …
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- xvi, 69 hlm.; ilus.; tab.; 29 cm.
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- T1894152025
DETEKSI KOMENTAR DAN ANALISIS SENTIMEN PROMOSI JUDI ONLINE PADA YOUTUBE MENGG…
YouTube, as a highly interactive platform, has become a medium for online gambling promotions, raising legal issues under the Electronic Information and Transactions (ITE) Law and social risks, particularly for adolescents. This study aims to analyse public responses to gambling-related comments and to develop an automatic detection system using Natural Language Processing (NLP). The research f…
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- xv, 68 hlm.; ilus.; tab.; 29 cm.
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- T1894342025
ANALISIS USABILITY PADA APLIKASI KEBUGARAN STRAVA MENGGUNAKAN POST STUDY SYST…
This study aims to evaluate the usability level of the Strava fitness application using the Post-Study System Usability Questionnaire (PSSUQ) and the Retrospective Think Aloud (RTA) method. A total of 128 respondents completed the PSSUQ questionnaire, while five respondents participated in RTA sessions to provide qualitative insights into their user experience. The analysis shows that Strava ha…
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- xiv, 77 hlm.; ilus.; tab.; 29 cm.
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- T1895762025
PENGEMBANGAN GAME PLATFORMER PADA PLATFORM ROBLOX MENGGUNAKAN METODE GAME DEV…
The rapid growth of the global game industry has positioned Roblox as a popular creative ecosystem platform; however, game development within it requires a structured approach to ensure gameplay quality. This study aims to develop a mountain climbing-themed platformer game on the Roblox platform by applying the Game Development Life Cycle (GDLC) method and measuring the quality of its user expe…
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- xvi, 92 hlm.; ilus.; tab.; 29 cm.
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- T1895622025
ANALISIS PENGARUH PERAN MEDIA SOSIAL DALAM MEMBANGUN KEPERCAYAAN PUBLIK PADA …
This study aims to analyze the factors that influence public trust in the PPDB services of the Department of Education of South Sumatra Province through the utilization of government social media as a digital communication medium. The research employs the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method using SmartPLS 4. The findings indicate that two variables significantl…
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- xvii, 149 hlm.; ilus.; tab.; 29 cm.
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- T1894982025
EVALUASI USER ACCEPTANCE PLATFORM TOKOPEDIA MELALUI FRAMEWORK UTAUT3 DAN ANAL…
This study aims to evaluate user acceptance of the Tokopedia e-commerce platform in Indonesia by applying the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis implemented in RStudio. Data were collected through an online questionnaire distributed through social networks, …
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- xiii, 30 hlm.; ilus.; tab.; 29 cm.
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- T1895462025
PERBANDINGAN ALGORITMA SVM DAN NAIVE BAYES DALAM ANALISIS SENTIMEN TERHADAP U…
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
SENTIMENT-BASED KNOWLEDGE DISCOVERY PADA REVIEW APLIKASI WONDR BY BNI MENGGUN…
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
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK DENGAN ARSITEKTUR MOBILENETV3 PADA …
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
STUDI KOMPARATIF ALGORITMA KLASIFIKASI DALAM MENGANALISIS SENTIMEN APLIKASI S…
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
ANALISIS PENGARUH SOCIAL CUSTOMER RELATIONSHIP MANAGEMENT (SCRM) MELALUI INST…
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
PERBANDINGAN KINERJA LSTM, RANDOM FOREST, DAN SVR BERBASIS KNOWLEDGE DISCOVER…
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
KLASIFIKASI SENTIMEN ULASAN TIKTOK PADA ALMAZ FRIED CHICKEN MENGGUNAKAN INDOB…
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
ANALISIS OPINI MASYARAKAT TERHADAP MEDIA SOSIAL INSTAGRAM @rsbundapalembang M…
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
HUBUNGAN TINGKAT KESADARAN DENGAN TINGKAT KEBERHASILAN OPERASI PADA PASIEN EP…
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
IMPLEMENTASI SISTEM DETEKSI KETERSEDIAAN SLOT PARKIR MOTOR DI FASILKOM UNSRI …
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
HUBUNGAN FORWARD HEAD POSTURE (FHP) DENGAN NYERI LEHER PADA SISWA SDN 149 PAL…
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
ANALISIS DAMPAK QUANTUM COMPUTING TERHADAP KEAMANAN SISTEM KRIPTOGRAFI KONVEN…
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
PENGARUH MEDIASI SISTEM INFORMASI TERHADAP SIKAP INDIVIDU DALAM MENINGKATKAN …
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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- T1575442024
ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN YOLOv8 DENGAN AL…
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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- T1838632025
PENERAPAN METODE EXTREME GRADIENT BOOSTING UNTUK DETEKSI MULTI-CLASSIFICATION…
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
ANALISIS PEMENUHAN KEBUTUHAN FOLLOWERS INSTAGRAM @RSBUNDAPALEMBANG MENGGUNAKA…
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
FINE TUNING INDOBERT UNTUK ANALISIS SENTIMEN PADA ULASAN PENGGUNA APLIKASI ZA…
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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- T1894642025
PENGEMBANGAN GAME EDUKASI VIRTUAL KAMPUS UNIVERSITAS SRIWIJAYA PADA PLATFORM …
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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- T1894682025
KOMPARASI KLASTERISASI DATA HISTORIS GEMPA BUMI MENGGUNAKAN DBSCAN, K-MEANS, …
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
KOMPARASI XGBOOST DAN LSTM DALAM PROSES KNOWLEDGE DISCOVERY BERBASIS ANALISIS…
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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- T1894212025
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