Filter by
PENERAPAN K-MEANS CLUSTERING UNTUK SEGMENTASI WAJIB PAJAK SEBAGAI DASAR PENYU…
Pengelolaan data wajib pajak yang efektif sangat penting untuk meningkatkan tingkat kepatuhan dan mengoptimalkan pendapatan daerah. Penelitian ini bertujuan untuk mengatasi keterbatasan penerapan segmentasi wajib pajak berbasis data pada instansi Samsat tingkat lokal dengan menerapkan metode K-Means Clustering sebagai pendukung penyusunan strategi Customer Relationship Management (CRM) yang leb…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiv, 82 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895942025
PERANCANGAN ANTARMUKA SISTEM MANAJEMEN GUDANG MENGGUNAKAN METODE TASK CENTERE…
The Warehouse Management System (WMS) at PT Telkom Akses Palembang still faces challenges with its user interface, such as an outdated appearance, unintuitive navigation, and minimal inform ation visualization, which hinder the efficiency of warehouse staff. This study aims to redesign the web-based WMS interface using a Human Computer Interaction (HCI) approach through the Task Centered System…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 99 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895912025
SONGPALAR : INOVASI AUGMENTED REALITY PEMBELAJARAN INTERAKTIF DAN PELESTARIAN…
This study aims to develop the SongPalar application based on Augmented Reality (AR) as a medium for learning and promoting Palembang Songket culture to support the preservation of local cultural heritage. The background of this study is based on the low utilization of digital technology in the promotion and education of Palembang Songket, as well as the lack of awareness among the younger gene…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 76 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1896072025
EVALUASI PENDEKATAN ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA ULASAN APL…
The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SV…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiii, 95 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895342025
IMPLEMENTASI INDOBERT UNTUK ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP ULASAN …
Aspect-Based Sentiment Analysis (ABSA) has become a crucial approach for extracting detailed opinions from user-generated content, especially in the healthcare domain. This study analyzes public sentiment toward hospital services in Indonesia using IndoBERT, fine-tuned on 2.448 reviews collected from Google Reviews and Instagram. Sentiment labels were automatically assigned with a pre-trained I…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 100 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895862025
PERBANDINGAN ALGORITMA RANDOM FOREST, LOGISTIC REGRESSION, DAN XGBOOST DALAM …
Understanding user sentiment from e-commerce reviews is essential for platform improvement and business strategy. This study compares three machine learning algorithms—Logistic Regression, Random Forest, and XGBoost—for sentiment classification of Indonesian-language Tokopedia reviews. A dataset of 6,822 user reviews was preprocessed through tokenization, stopword removal, and TF-IDF vector…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 98 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895732025
PENERAPAN METODE MACHINE LEARNING DAN TEKNIK SMOTE UNTUK PREDIKSI DIABETES
Diabetes merupakan salah satu penyakit tidak menular yang prevalensinya terus meningkat secara global maupun nasional. Kondisi ini menimbulkan risiko komplikasi serius seperti penyakit jantung, stroke, hingga gagal ginjal apabila tidak terdeteksi sejak dini. Oleh karena itu, dibutuhkan metode prediksi berbasis data yang mampu membantu proses deteksi awal secara cepat, akurat, dan efisien. Penel…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xix, 93 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895142025
ANALISIS SENTIMEN PELANGGAN TERHADAP PENILAIAN PRODUK PADA TOKOPEDIA NYEMIL.S…
Penelitian ini bertujuan menganalisis sentimen pelanggan terhadap ulasan produk pada toko Nyemil.Saji di Tokopedia menggunakan metode Support Vector Machine (SVM). Permasalahan utama yang melatarbelakangi penelitian adalah adanya ketidaksesuaian antara isi ulasan teks dan rating bintang yang menyulitkan evaluasi kualitas produk secara objektif. Data dikumpulkan melalui web scraping dan diproses…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xviii, 113 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895222025
PENERAPAN METODE AHP DAN SMART DALAM PEMILIHAN PROVIDER WIFI DI KOTA PALEMBANG
Kebutuhan masyarakat terhadap layanan internet yang cepat dan stabil semakin meningkat seiring dengan perkembangan teknologi digital di Kota Palembang. Banyaknya pilihan penyedia layanan Wi-Fi (Internet Service Provider) dengan karakteristik berbeda menimbulkan kesulitan bagi pengguna dalam menentukan pilihan terbaik secara objektif. Penelitian ini bertujuan untuk menerapkan metode Analytic Hie…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 84 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895182025
KNOWLEDGE DISCOVERY ANALISIS PERBANDINGAN MODEL MACHINE LEARNING DALAM PREDIK…
Peningkatan volume sampah perkotaan menuntut sistem pengelolaan yang lebih efisien dan berbasis data, khususnya dalam perencanaan pengumpulan sampah harian. Permasalahan utama dalam prediksi volume sampah adalah kompleksitas hubungan non-liniar antar variabel serta keterbatasan penelitian yang membandingkan kinerja berbagai algoritma machine learning secara komprehensif. Penelitian ini bertujua…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xii, 105 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895002025
IMPLEMENTASI METODE RAPID APPLICATION DEVELOPMENT (RAD) DAN FRAMEWORK DOUBLE …
Digital transformation is a strategic necessity for educational institutions to enhance service quality and operational effectiveness. Pondok Pesantren Salafiyah and Tahfidzul Qur’an Al-Falah Putak has utilized a web-based information system; however, its use remains suboptimal in terms of information presentation, content structure, and user experience. This study aims to develop the New Stu…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 232 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895532025
IMPLEMENTASI SISTEM REKAPITULASI PRESENSI PEGAWAI KANTOR DIREKTORAT JENDERAL …
The employee attendance recap process plays an important role in supporting personnel management and managerial decision-making in government institutions. However, at the Regional Office of the Directorate General of Customs and Excise of Eastern Sumatra, the attendance recap process is still conducted manually by combining attendance, leave, and official duty data obtained from several separa…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 98 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895102025
MEDIA PROMOSI DEKORASI PERNIKAHAN INTERAKTIF MENGGUNAKAN TEKNOLOGI AUGMENTED …
Industri dekorasi pernikahan membutuhkan media promosi yang mampu menyajikan visualisasi desain secara lebih realistis untuk membantu calon pengantin memahami konsep dekorasi secara akurat. Media promosi konvensional seperti foto dan video 2D sering kali tidak mampu memberikan gambaran ruang yang mendalam sehingga diperlukan pendekatan visual yang lebih interaktif. Penelitian ini mengembangkan …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 114 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895072025
PENERAPAN NAÏVE BAYES UNTUK MENGANALISIS SENTIMEN PADA ULASAN APLIKASI X (TW…
Penelitian ini bertujuan untuk mengidentifikasi dan mengklasifikasikan sentimen pada ulasan pengguna aplikasi X (Twitter) ke dalam kategori positif dan negatif secara otomatis untuk memperoleh gambaran objektif mengenai persepsi pengguna. Kebaruan penelitian terletak pada penerapan rangkaian preprocessing teks secara lengkap berbasis TF-IDF yang dikombinasikan dengan evaluasi model menggunakan …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 81 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895192025
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI TOKOPEDIA MENGGUNAKAN ALGORITMA RA…
Dalam beberapa tahun terakhir, pertumbuhan e-commerce di Indonesia menunjukkan peningkatan yang signifikan, menjadikan ulasan konsumen sebagai acuan utama dalam menilai kualitas layanan dan pengalaman pengguna. Tokopedia, sebagai salah satu platform e-commerce terbesar, menerima jutaan ulasan yang merefleksikan opini serta pengalaman pelanggan terhadap berbagai produk dan layanan. Karena berben…
- Edition
- -
- ISBN/ISSN
- r
- Collation
- xvi, 88 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895122025
ANALISIS SENTIMEN LAYANAN KESEHATAN KLINIK YAMET KOMENTAR INSTAGRAM DENGAN NA…
Kemajuan teknologi informasi yang pesat mendorong sektor kesehatan untuk bertransformasi menuju pemanfaatan platform digital demi meningkatkan efisiensi dan kemudahan akses layanan. Klinik Yamet Palembang, sebagai pusat terapi bagi anak berkebutuhan khusus, telah menggunakan media sosial sebagai kanal komunikasi utama, meskipun situs web resminya masih belum dioptimalkan secara maksimal. Permas…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xix, 109 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895012025
ANALISIS PLAYER SATISFACTION LEVEL MELALUI PENDEKATAN PLAYER EXPERIENCE OF NE…
Perkembangan teknologi mendorong kemajuan industri game, termasuk genre Action Role-Playing Game (ARPG). Genshin Impact, sebagai game ARPG terkemuka, menawarkan grafis memukau, gameplay mendalam, dan dunia terbuka yang luas. Penelitian ini menggunakan metode Player Experience of Need Satisfaction (PENS) untuk mengevaluasi kepuasan pemain berdasarkan teori Self�Determination (SDT), yang mencak…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 82 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1521692024
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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 84 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 102 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiv, 76 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- 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 …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 102 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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, …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 69 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 68 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiv, 77 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 92 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 149 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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, …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiii, 30 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 78 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xviii, 88 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- 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 …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 82 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1895262025
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography