ANALISIS SENTIMEN MEDIA SOSIAL FACEBOOK TERHADAP KEMACETAN LALU LINTAS DI KOT…

This study aims to analyze public sentiment toward traffic congestion in Palembang City based on Facebook social media comments using the Naïve Bayes algorithm. Data were collected through web scraping of Facebook comments related to traffic conditions in Palembang and labeled using a lexicon-based approach into three sentiment classes: positive, negative, and neutral. The dataset consists of …

ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X MENGENAI PINJAMAN ONLINE DENGAN PER…

The rapid development of technology and social media has transformed the way people express their opinions on various issues, including online loan services. Application X has become a primary platform for users to openly share their views. This study aims to analyze user sentiment toward online loan services by comparing the performance of the XGBoost and Random Forest algorithms. From an init…

POKOK POKOK HUKUM PERDATA

Edition

-

ISBN/ISSN

979-8114-31-0

Collation

viii, 236 hlm.; ill.; 23 cm.

Series Title

-

Call Number

346 Sub p

IMPLEMENTASI ADD-ON BLENDER UNTUK OTOMATISASI PEWARNAAN ACAK PADA OBJEK

3D object coloring is an important stage in digital design and animation, but this process often takes a long time and tends to be monotonous. This research aims to develop a Blender add-on called AutoColorize, designed using Python to automate the coloring process. The add-on is equipped with features to generate color palettes and apply colors to selected objects. The test results show that u…

OPTIMASI FUZZY INFERENCE SYSTEMMODELMAMDANI DENGAN MENGGUNAKAN ALGORITMAPARTI…

Air is one of most importants thing in the world for all people, animals and plants. That’s why to check and maintain the air quality is one option to maintenance the world’s life. There are many way to check and maintain or even to predict the air polutions, and in this case i will use Fuzzy Inference System Mamdani. Not only with Fuzzy Inference System Mamdani, I will also optimize that w…

HUKUM PERDATA TENTANG PERSETUJUAN-PERSETUJUAN TERTENTU

Edition

-

ISBN/ISSN

-

Collation

202 hlm. ; 20 cm

Series Title

-

Call Number

346 Pro p

TEORI & PRAKTIK PERADILAN PERDATA DI INDONESIA

Edition

-

ISBN/ISSN

978-979-341-109-5

Collation

252 hlm. ; 20 cm

Series Title

346 Mul t

Call Number

346 Mul t

PERTIMBANGAN HUKUM HAKIM TERHADAP PERMOHONAN PERUBAHAN JENIS KELAMIN (STUDI P…

Perkembangan hukum harus mengikuti perubahan zaman dan memperhatikan hak setiap individu. Seiring dengan meningkatnya tuntutan terhadap hak-hak tersebut, globalisasi memainkan peran penting dalam memperkenalkan berbagai ideologi dan pengaruh dari luar. Namun, tidak semua pengaruh ini memberikan dampak positif atau sesuai dengan hukum, norma, dan nilai yang berlaku di Indonesia, salah satu perma…

ANALISIS SENTIMEN KOMENTAR PENGGUNA TERHADAP LAYANAN PAYLATER DI PLATFORM X M…

The rapid growth of digital financial services in Indonesia has accelerated the adoption of PayLater features across various online transaction platforms. This trend has led to diverse public opinions and sentiments, particularly on social media platform X (Twitter). This study aims to analyze public sentiment toward PayLater services and compare the performance of the Bidirectional Long Short-…

SISTEM REKOMENDASI MAKANAN INDONESIA MENGGUNAKAN ALGORITMA LONG SHORT-TERM ME…

The vast diversity of Indonesian cuisine often leads to information overload and the "paradox of choice" for users. Existing conventional search systems are unable to understand specific personal preferences, necessitating an intelligent recommendation system. This research aims to (1) design and build a hybrid Indonesian food recommendation system model combining the Long Short-Term Memory (LS…

PERUBAHAN PENGGUNAAN LAHAN BERBASIS DATA SPASIAL DI KECAMATAN RAMBUTAN KABUPA…

This research aims to determine the extent of land use change, as well as the factors and impacts of swamp land use change that occurred in 2018 and 2024. The study was conducted from December 2024 to May 2025 using spatial analysis. Mapping was carried out through direct surveys at the research location in Rambutan Subdistrict, Banyuasin Regency, South Sumatra, and processed using QGIS softwar…

PENGEMBANGAN MODEL STEGANOGRAFI CITRA BERBASIS U-NET DENGAN CONVOLUTIONAL SPA…

This study proposes an image steganography architecture based on a modified U-Net integrated with Convolutional Spatial Attention (CSA) on the cover stream and a Laplacian-based Residual Map on the Y-channel, designed to produce an embedding probability map that more selectively targets textured regions. The model generates a residual embedding which is inserted using a ±1 modulation scheme wi…

PENERAPAN RANDOM FOREST UNTUK KLASIFIKASI POLA PENGETIKAN BERBASIS KEYSTROKE …

Security in authentication systems is a crucial aspect of protecting user data and identity. One approach that can be applied is keystroke dynamics, which analyzes typing patterns as a form of behavioral biometric characteristics. This study aims to develop and evaluate a machine learning based classification model using the Random Forest algorithm to identify user typing patterns. The dataset …

OPTIMASI FUZZY TSUKAMOTO DENGAN PARTICLE SWARM OPTIMIZATION (PSO) UNTUK SCREE…

The increasing problem of drug abuse has made it difficult for families to determine whether noticeable changes in a person’s behavior are normal or early signs of addiction. To address this challenge, this study develops an addiction-screening system using the Fuzzy Tsukamoto method combined with Particle Swarm Optimization (PSO). The system assesses four main indicators—physical, psycholo…

PENGEMBANGAN LKPD IPA TERPADU BERBASIS PROBLEM BASED LEARNING (PBL) TOPIK PAR…

This research is a development research that aims to produce Integrated Science Student Worksheet Based on Problem Based Learning (PBL) Topic of Material Compiling Particlees that are valid, practical, and effective. The development model used is Rowntree (planning, development stages) modified with Tessmer formative evaluation. Tessmer formative evaluation stages consist of self-evaluation, ex…

PENGEMBANGAN LKPD IPA TERPADU BERBASIS PROBLEM BASED LEARNING (PBL) TOPIK SEN…

This development research was conducted to produce Problem Based Learning (PBL) based Learner Worksheets (LKPD) and applied for learning chemical compounds in class VIII SMPN 1 Sembawa which are valid, practical, and effective. The development model used in this research is the Rowntree development model and modified with Tessmer's formative evaluation. Data were collected through interviews, q…

CLUSTERING NILAI SISWA SMA UNTUK MENENTUKAN BIDANG KEILMUAN PERGURUAN TINGGI …

Currently, there are still many students in high school who are still confused in determining the scientific field in higher education, even though the scientific field is one of the important things before determining the college they want to enter. They still depend on their parents or friends when they want to choose a scientific field, these high school students don't have a strong reason t…

PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK IPA TERPADU BERBASIS PROBLEM BASED LE…

Penelitian pengembangan ini telah dilakukan untuk menghasilkan produk LKPD berbasis problem based learning IPA di kelas IX SMP IT Raudhatul Ulum yang valid, praktis, dan efektif. Metode penelitian pengembangan yang dilakukan pada penelitiam ini menggunakan model Rowntree yang dimodifikasi evaluasi formatif tessmer. Penelitian ini meliputi tiga tahap, yaitu 1) tahap perencanaan, 2) tahap pengemb…

PENGEMBANGAN LKPD IPA TERPADU BERBASIS PROJECT BASED LEARNING TOPIK UJI DAYA …

Penelitian Pengembangan ini telah dilakukan untuk menghasilkan produk LKPD LKPD IPA Terpadu berbasis project based learning di kelas IX.10 SMP Negeri 18 Palembang yang valid, praktis dan efektif.Metode penelitian Pengembangan yang dilakukan pada penelitian ini menggunakan model ADDIE yang dimodifikasi evaluasi formatif pengembangan tessmer. Penelitian ini meliputi 4 tahapan yaitu 1) tahap anali…

EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE.

The increasing number of scientific articles presents a challenge for researchers in quickly accessing relevant information. One of the main challenges is determining efficient keywords. To address this, an automatic keyword extraction system becomes an essential solution, aimed at developing and evaluating methods for keyword extraction to accelerate the search and management of information fr…

KLASIFIKASI TINGKAT KEMATANGAN BUAH PEPAYA MENGGUNAKAN CONVOLUTIONAL NEURAL N…

Image classification is a major challenge in the digital world, especially in the field of deep learning. so this research develops a classification system using Convolutional Neural Network (CNN) with five architectures namely GoogLeNet (InceptionV3), MobileNet, ResNet50, SqueezeNet, and Visual Geometry Group (VGG16) to classify papaya fruit. With the number of data for ripe papaya 267, unripe…

FINE-TUNING INDOBERT UNTUK KLASIFIKASI KATEGORI BERITA BERBAHASA INDONESIA.

The availability of Indonesian news articles on the internet has greatly increased, making it more challenging to recognize and categorize news accurately. Therefore, a solution to this issue is to develop a classification system for Indonesian news article categories. This research aims to classify Indonesian news category using fine-tuning on the pre-trained IndoBERT model. The dataset consis…

ANALISIS SENTIMEN MASYARAKAT TERKAIT PEMBANGUNAN IBU KOTA NUSANTARA (IKN) MEN…

The development of Ibu Kota Nusantara (IKN) has become a topic of public interest, generating various opinions reflecting societal sentiment. This study aims to analyze public sentiment toward the development of IKN using a fine-tuned IndoBERT-based deep learning model. The dataset was collected from platform X, consisting of 18,264 training data, 2,283 validation data, and 2,283 test data, wit…

Fisika Komputasi

Edition

-

ISBN/ISSN

978-623-372-956-7

Collation

x, 252 hlm.; 23 cm

Series Title

-

Call Number

530.028 5 Akm F

Kriptografi, Teknik Keamanan Data Dan InformasiPengantar Ilmu Kriptografi, Te…

Edition

-

ISBN/ISSN

978-623-010-288-2

Collation

xvi, 392 hlm.; 23 cm

Series Title

-

Call Number

005.824 Sim k

KLASIFIKASI SMS SPAM BERBAHASA INDONESIA MENGGUNAKAN K-NEAREST NEIGHBOR DAN C…

SMS Spam sangat membahayakan sehingga dapat menyebabkan kerugian bagi pengguna layanan SMS. Untuk mengatasi hal tersebut, dibutuhkan metode yang dapat membantu mengelompokan SMS sesuai dengan ketegorinya, yaitu Spam dan non spam. Klasifikasi merupakan salah satu proses mengelompokkan data kedalam kelas yang telah ditentukan sebelumnya. Pengklasifikasian melewati beberapa tahapan yaitu, pra peng…

PENERAPAN ALGORITMA RANDOM FOREST UNTUK SENTIMEN ANALISIS PADA POSTINGAN FACE…

Traffic congestion is a recurring issue in Palembang City and significantly affects the daily activities of its residents. Social media, particularly Facebook, serves as a platform for the public to express their opinions and complaints regarding traffic conditions. This study aims to analyze public sentiment toward traffic congestion in Palembang City using the Random Forest algorithm. The res…

SEGMENTASI PELANGGAN MENGGUNAKAN ALGORITMA K-MEANS DENGAN ELBOW METHOD PADA S…

Customer segmentation is a significant application of data analysis in business. This research uses the K-Means algorithm to group customer data based on transaction habits, with parameters from the dataset as cluster determinants. To determine the optimal number of clusters, the Elbow Method is applied, which is based on the highest difference of inertia values. The results show that 2 cluster…

ANALISIS EVALUASI TINGKAT LITERASI KEAMANAN CYBER PENGGUNAAN MEDIA SOSIAL (ST…

This study aims to analyze the level of cyber security literacy among students of SMK Bukit Asam and classify it using the Random Forest algorithm. The research employed a quantitative approach using a questionnaire consisting of four main indicators: knowledge, attitude, behavior, and overall cyber security literacy. A total of 192 students participated as respondents in this study. The result…

ANALISIS KLASTERING KELOMPOK PEKERJAAN MENGGUNAKAN METODE K-MEANS PADA DATA S…

The oil and gas industry involves high-risk activities that require accurate utilization of operational data to support occupational safety. However, at PT Pertamina Hulu Rokan Zona 4 Field Limau, the Work Permit Safety System (SIKA) is still used mainly as an administrative document and has not been leveraged to analytically identify work permit patterns. This study aims to explore clustering …