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ANALISIS SENTIMEN PENGGUNA APLIKASI SOCIOLLA MENGGUNAKAN ALGORITMA SUPPORT VE…
The rapid growth of digital technology has driven innovations in the beauty industry, one of which is the Soco by Sociolla platform that provides online product reviews. The large number of user reviews on the Soco platform provides an opportunity to analyze sentiment in order to understand perceptions of services and products. This study aims to analyze user sentiments on Soco by Sociolla revi…
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- xvi, 44 hlm.; ilus.; 29 cm
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- T1963772026
PENGARUH PROMOSI MEDIA SOSIAL TERHADAP LOYALITAS PELANGGAN MELALUI PENDEKATAN…
The development of social media as part of digital technology has driven changes in marketing strategies, particularly in building long-term relationships with customers. This study aims to analyze the effect of social media promotion on customer loyalty through the brand equity approach based on the Aaker and Keller model at Dekabeads Store. This research employed a quantitative method by dist…
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- x, 77 hlm.; ilus.; 29 cm
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- T1962632026
PENERAPAN ALGORITMA RANDOM FOREST DENGAN RANDOM OVERSAMPLING UNTUK SENTIMEN A…
The "Sekolah Rakyat" Program is a government initiative aimed at expanding educational services for underprivileged communities to break the cycle of poverty. However, the vast amount of dynamic and unstructured public opinion on platform X poses a challenge in systematically mapping community responses. This study aims to analyze the sentiment of platform X users toward the Sekolah Rakyat Prog…
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- xv, 210 hlm.; ilus.; 29 cm
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- T1958742026
ANALISIS PENERIMAAN PENGGUNA TERHADAP APLIKASI TIKET ONLINE PADA ACCESS BY KA…
The development of information technology has encouraged people to use mobile applications, including Access by KAI for train ticket reservations. Although it has many features, there are still user complaints that indicate that acceptance of the application is not yet optimal. This study uses the TAM method to examine the influence of ease and usefulness on attitudes, intentions, and actual us…
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- xviii, 152 hlm.; ilus.; 29 cm
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- T1962452026
ANALISIS PENGARUH DOSIS TAWAS, PELARUTAN KAPUR, DAN DOSIS KLOR TERHADAP KESTA…
Water pH stability is a crucial parameter in drinking water treatment as it affects the quality of distributed water. This study aims to analyze the relationship between operational chemical variables and distribution water pH using a machine learning approach based on linear regression applied to PDAM operational data. The dataset includes raw water pH, alum dosage, lime dissolution per hour, …
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- xiv, 48 hlm.; ilus.; 29 cm
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- T1955392026
PENERAPAN DEEP LEARNING UNTUK PREDIKSI HARGA BITCOIN: STUDI KOMPARATIF LSTM, …
The rapid growth of social media has enabled the misuse of comment sections as a medium for promoting online gambling. The high volume of comments makes manual moderation ineffective, thus requiring an automated classification system. This study aims to develop a classification system for online gambling comments using the IndoBERT model and to evaluate its performance based on accuracy, precis…
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- xiv, 48 hlm.; ilus.; 29 cm
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- T1955342026
PERBANDINGAN TF-IDF DAN COUNT VECTORIZER TERHADAP KINERJA ALGORITMA MACHINE L…
The rapid growth of artificial intelligence based applications has led to diverse user responses, which are commonly expressed through reviews on the Google Play Store. These user reviews not only reflect satisfaction levels but also provide valuable insights into user sentiment regarding application performance and quality. Therefore, sentiment analysis serves as an effective approach to syste…
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- xv, 102 hlm.; ilus.; 29 cm
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- T1950992026
KAUSALITAS ANTARA INDEKS KEBAHAGIAAN, PENGELUARAN PEMERINTAH DAN PERTUMBUHAN …
Penelitian ini bertujuan menganalisis hubungan kausalitas antara indeks kebahagiaan, pengeluaran pemerintah, dan pertumbuhan ekonomi di 12 negara emerging market selama periode 2013–2024. Data yang digunakan merupakan data sekunder yang diperoleh dari World Happiness Report dan World Bank. Metode analisis yang digunakan adalah Panel Vector Autoregression (PVAR) dengan uji kausalitas Granger u…
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- xv, 102 hlm.; ilus.; 29 cm
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- T1955282026
PENGUKURAN TINGKAT KEMATANGAN LAYANAN OPEN TICKET UPT TIK MENGGUNAKAN INFORMA…
nformation technology services play a crucial role in supporting academic activities in higher education institutions. One of the important IT services is a ticket-based service system used to handle incidents and service requests from users. Open Ticket UPT TIK Universitas Sriwijaya is a system implemented to manage information technology service complaints and requests submitted by students. …
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- xvi, 91 hlm.; ilus.; 29 cm
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- T1959522026
EVALUASI PENGGUNAAN APLIKASI SOCIAL CRM BERBASIS MOBILE DALAM MENINGKATKAN CU…
The implementation of Social Customer Relationship Management (Social CRM) on mobile platforms holds significant potential for enhancing interaction between companies and customers. However, in practice, it still faces various obstacles, such as delayed responses and limited interactive features, which can hinder the effectiveness of two-way communication. This study aims to evaluate the effect…
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- ix, 57 hlm.; ilus.; 29 cm
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- T1959662026
ANALISIS SENTIMEN MASYARAKAT PADA KOMENTAR INSTAGRAM TERHADAP PROGRAM PEMERIN…
Sustainable development is the main focus of local governments in their efforts to improve community welfare, particularly through the achievement of Sustainable Development Goals (SDGs). One of these goals, SDG 6 (Clean Water and Sanitation), emphasizes the importance of access to clean water and proper sanitation for all. This study aims to analyze public sentiment towards the Palembang City …
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- xviii, 55 hlm.; ilus.; 29 cm
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- T1949112026
EVALUASI USER EXPERIENCE (UX) DAN USABILITY PADA APLIKASI PINTEREST MENGGUNAK…
The rapid development of visual platforms such as Pinterest requires a deeper understanding of how functional and emotional aspects influence user experience. This study aims to analyze the influence of Pragmatic Quality, Hedonic Quality-Stimulation, and Hedonic Quality-Identity on Attractiveness in the Pinterest application. The research employs a quantitative approach using the AttrakDiff ins…
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- xv, 79 hlm.; ilus.; tab.; 29 cm.
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- T1946672026
KOMPARASI KINERJA MODEL NAIVE BAYES, SVM, DAN RANDOM FOREST DALAM KLASIFIKASI…
The increasing number of reviews for the Google Gemini app on Google Play Store reflects a variety of user opinions regarding the performance of this AI-based application. To identify sentiment patterns, this study conducted a comparative study of three classification algorithms: Support Vector Machine (SVM), Naive Bayes, and Random Forest, using 14,479 raw reviews collected through scraping. T…
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- xi, 29 hlm.; ilus.; tab.; 29 cm.
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- T1945642026
ANALISIS FAKTOR-FAKTOR PENERIMAAN DAN KESIAPAN IMPLEMENTASI KNOWLEDGE MANAGEM…
The implementation of a Knowledge Management System (KMS) in higher education requires readiness in human, organizational, and technological aspects to ensure optimal acceptance. This study aims to analyze the influence of Human, Organization, and Technology factors within the HOT-Fit model on KMS acceptance in the Laboratory of the Faculty of Computer Science, Universitas Sriwijaya. This resea…
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- xiv, 62 hlm.; ilus.; 29 cm
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- T1949082026
PENERAPAN METODE HIBRIDA AHP DAN TOPSIS UNTUK MODEL SISTEM PENDUKUNG KEPUTUSA…
The determination of priority nutrition intervention programs at the school level has not yet been supported by a systematic multicriteria decision-making model, which may lead to less consistent and less objective decisions. This issue becomes increasingly important considering the existence of various school-based nutrition intervention programs, such as the Free Nutritious Meal (MBG) program…
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- 25 hlm.; ilus.; tab.; 29 cm.
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- T1940082026
ANALISIS PENGARUH CUSTOMER RELATIONSHIP MANAGEMENT (CRM) PADA PENGGUNA PLAYST…
The rapid development of the digital gaming industry has encouraged companies to optimize Customer Relationship Management (CRM) strategies to enhance purchase intention and customer loyalty. This study aims to analyze the influence of Customer Relationship Management (CRM) on purchase intention and customer loyalty among PlayStation App users. This research employs a quantitative method with a…
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- xviii, 63 hlm.; ilus.; 29 cm
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- T1946172026
PENERAPAN DATA MINING UNTUK KNOWLEDGE DISCOVERY ULASAN APLIKASI BLU BY BCA ME…
The ever-evolving digital banking services require a comprehensive understanding of user perceptions. This study applies a knowledge discovery approach to analyze the sentiment of user reviews of the Blu by BCA application by comparing three classification algorithms, namely Support Vector Machine (SVM), Convolutional Neural Network (CNN), and IndoBERT. Data was obtained through the process of …
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- xvi, 50 hlm.; ilus.; 29 cm
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- T1947422026
ANALISIS SENTIMEN WARGANET INDONESIA TERHADAP VASEKTOMI DI X MENGGUNAKAN MODE…
Vasectomy-related conversations on X (Twitter) frequently generate polarized pro–contra debates that can shape public understanding of male contraception, yet evidence on Indonesian netizens’ sentiment remains limited. This study maps and classifies sentiment toward vasectomy during April–June 2025 using a descriptive quantitative text-mining and NLP pipeline. After preprocessing (cleanin…
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- xviii, 56 hlm.; ilus.; 29 cm
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- T1947292026
ANALISIS SENTIMEN PENGGUNA APLIKASI GAME ROBLOX PADA ULASAN GOOGLE PLAY STORE…
The rapid advancement of information technology has significantly boosted the digital entertainment industry, notably the online gaming platform Roblox, which boasts over 111 million daily active users globally. In Indonesia, the high number of users correlates with a vast volume of reviews on the Google Play Store, encompassing diverse opinions on gameplay experience, technical issues, and app…
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- xxii, 299 hlm.; ilus.; tab.; 29 cm.
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- T1942982026
ANALISIS PERFORMA HOLT-WINTERS DAN SARIMA DALAM PERAMALAN MULTIVARIABEL IKLIM…
This study aims to analyze and compare the performance of two conventional time series forecasting models, Holt–Winters and Seasonal Autoregressive Integrated Moving Average (SARIMA), in predicting monthly climate variables in Semarang City, including air temperature, rainfall, and humidity. A head-to-head multivariable comparison was conducted within a single experimental framework in a trop…
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- xi, 106 hlm.; tab.; 29 cm
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- T1942722026
ANALISIS KOMPARATIF ALGORITMA RANDOM FOREST, XGBOOST, DAN CATBOOST UNTUK KLAS…
The increasingly intensive use of social media in everyday life has various implications for the psychological condition of users, one of which is an increase in stress levels due to high usage duration and excessive exposure to information. This condition necessitates an analytical approach to understand and predict user stress levels more objectively. This study aims to compare the performanc…
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- xv, 155 hlm.; ilus.; tab.; 29 cm.
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- T1942952026
ANALISIS SENTIMEN PENGGUNA INSTAGRAM TERHADAP POSTINGAN PROGRAM MAKAN SIANG G…
Social media is widely used today for communication and information exchange. One of the most popular social media platforms is Instagram. The comments section on an Instagram post creates discussions among users regarding issues that are currently being widely discussed. One of the issues that is currently being widely discussed is the free lunch program, which is a new program created by the …
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- xiv, 46 hlm.; ilus.; 29 cm
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- T1946112026
PENGARUH HEDONIC MOTIVATION DAN PRICE VALUE DALAM UTAUT 2 TERHADAP PEMBELIAN …
Penelitian ini menginvestigasi determinan perilaku impulsive buying selama acara Flash Sale di platform Tokopedia. Berlandaskan pada kerangka kerja Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), penelitian ini menguji pengaruh Hedonic Motivation dan Price Value terhadap Behavioral Intention, serta dampaknya terhadap Impulsive Buying. Pendekatan kuantitatif diterapkan dengan meng…
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- xvii, 57 hlm.; ilus.; 29 cm
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- T1932252026
PERBANDINGAN METODE ARIMA, SARIMA, DAN LSTM DALAM MEMPREDIKSI HARGA BAWANG ME…
Shallots are a food commodity that often experiences price fluctuations and is one of the contributors to inflation in the city of Palembang. This study compares the ARIMA, SARIMA, and LSTM methods for predicting shallot prices using daily data from January 2020 to October 2025. The research stages include data collection, preprocessing, visualization and decomposition, division of training and…
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- 92 hlm.; ilus.; tab.; 29 cm.
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- T1942892026
KOLABORASI METODE ENTROPI DAN MARCOS DALAM APLIKASI SISTEM PENDUKUNG KEPUTUSA…
The rapid development of digital camera technology has resulted in a wide variety of cameras with diverse specifications. This situation often makes it difficult for novice photographers to determine which camera suits their needs and budget. Therefore, this study aims to build a Decision Support System (DSS) for camera selection for beginners by combining the Entropy and MARCOS methods. The En…
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- xv, 65 hlm.; ilus.; 29 cm
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- T1931862026
KOLABORASI METODE MARCOS DAN AHP DALAM APLIKASI SISTEM PENDUKUNG KEPUTUSAN PE…
Pemilihan sepatu atletik yang tepat sangat penting bagi pelari pemula karena berpengaruh terhadap kenyamanan, performa, dan risiko cedera, namun banyaknya pilihan sepatu dengan karakteristik yang berbeda sering menyulitkan proses pengambilan keputusan. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) pemilihan sepatu atletik bagi pelari pemula dengan mengombinasikan m…
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- xiv, 88 hlm.; ilus.; 29 cm
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- T1931572026
ANALISIS PENERIMAAN GENERATIVE ARTIFICIAL INTELLIGENCE (AI) PADA PEMASARAN UM…
The advancement of digital technology, particularly Generative Artificial Intelligence (AI), has driven significant transformation in the marketing operations of Micro, Small, and Medium Enterprises (MSMEs). This study aims to analyze the acceptance of Generative AI in MSME marketing operations and examine its influence on customer loyalty by employing the Technology Acceptance Model (TAM). The…
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- v, 50 hlm.; ilus.; tab.; 29 cm.
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- T1937272026
PENGEMBANGAN APLIKASI FOSSERA BERBASIS AUGMENTED REALITY SEBAGAI MEDIA EDUKAS…
Learning about ancient human fossils remains predominantly reliant on two-dimensional media and is further constrained by limited public access to museum collections, resulting in suboptimal implementation of interactive and contextual learning processes. This study aims to develop FOSSERA as an Augmented Reality (AR)-based educational application that presents three-dimensional visualizations …
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- xv, 50 hlm.; ilus.; 29 cm
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- T1932562026
ANALISIS E-SERVICE QUALITY APLIKASI MYTELKOMSEL MENGGUNAKAN METODE CUSTOMER S…
Penelitian ini menganalisis kualitas layanan elektronik (e-service quality) pada aplikasi MyTelkomsel sebagai respons atas keluhan pengguna terkait lambatnya respons layanan dan kurang optimalnya fitur dukungan otomatis. Tujuan penelitian adalah mengukur tingkat kepuasan pengguna serta mengidentifikasi atribut layanan yang perlu diprioritaskan untuk perbaikan. Data dikumpulkan melalui kuesioner…
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- xvii, 82 hlm.; ilus.; 29 cm
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- T1932542026
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JURUSAN SISWA BARU DI SMK TRI DHARMA MEN…
Penentuan jurusan di SMK Tri Dharma masih dilakukan secara manual dan cenderung subjektif, meskipun telah dilaksanakan tes akademik saat penerimaan siswa baru. Keputusan jurusan lebih banyak dipengaruhi pilihan pribadi atau orang tua tanpa mempertimbangkan hasil angket minat dan bakat secara menyeluruh, sehingga menimbulkan ketidaksesuaian jurusan dan penurunan motivasi belajar. Penelitian ini …
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- xviii, 132 hlm.; ilus.; 29 cm
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- T1932662026
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