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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…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1571312024
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
ANSWER FINDING PADA INDONESIA QUESTION ANSWERING SYSTEM MENGGUNAKAN REGULAR E…
A Question Answering System (QAS) is an automated system designed to provide accurate answers to questions posed using natural language. This research aims to determine the ability of the Indonesian QAS built to perform answer finding or predict the answers submitted to the system using regular expression and cosine similarity methods. The steps taken include filtering the system's documents th…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1532052024
SISTEM INFORMASI BERBASIS WEBSITE UNTUK MENINGKATKAN ADMINISTRASI DAN LAYANAN…
The author's goal in building an Outpatient Information System at Stikes Al-Su'Aibah Palembang is to make it easier for patients to register and administer outpatient registration. In addition, the system will make it easier for administrators to register and manage outpatient data. Currently, the waterfall model is the most common software development model. This development model uses a seque…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1533322024
KLASIFIKASI JENIS BUNGA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK
ATechnological advances drive the need for accurate automatic classification systems, such as in flower type identification, which is still often done manually. This study aims to measure the performance of the DenseNet201 architecture in classifying five types of flowers (Daisy, Dandelion, Rose, Sunflower, and Tulip) using a Convolutional Neural Network (CNN). The model was developed with a fu…
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- xv, 102 hlm.; ilus.; tab.; 29 cm.
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- T1893802025
DETEKSI AROMA KOPI BERBASIS IoT MENGGUNAKAN SENSOR GAS ( MQ3, MQ4, MQ5, DAN M…
This paper presents a coffee aroma detection system based on the Internet of Things (IoT) using gas sensors (MQ-3, MQ-4, MQ-5, MQ-135) and a DHT-11 humidity sensor. Data collection was conducted at the Robotics, Control, and Embedded Systems Laboratory, Faculty of Computer Science, Sriwijaya University, involving coffee aroma, temperature, and humidity readings. The gas sensors provided reading…
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- x, 145 hlm.; ilus.; 29 cm
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- T1535122024
PERANCANGAN DAN IMPLEMENTASI APLIKASI BERBASIS WEBSITE PADA LABARATORIUM KLIN…
In today's modern era, the development of information technology is increasingly sophisticated and fast, no less in the medical world, technology is vert much needed, At the Al-Suaibah clinic, in managing daily operations, the As-Suaibah Clinic faces several challenges, including data management, patient medical record management, Therefore a patient data collection and reporting system was bui…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1533552024
OPTIMASI NILAI K PADA KNN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK DIAGN…
Stroke is a leading cause of disability and death worldwide, making accurate early diagnosis essential to reduce long-term impacts. This study aims to implement K-Nearest Neighbors (KNN) for Stroke diagnosis Classification and to optimize the value of K using Particle Swarm Optimization (PSO). The dataset was obtained from Kaggle, consisting of 5,110 entries and 12 demographic and clinical feat…
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- xiii, 142 hlm.; ilus.; tab, 29 cm
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- T1889862025
CLUSTERING MENGGUNAKAN METODE K-MEDOIDS PADA ARTIKEL BERITA ONLINE BERBAHASA …
The rapid growth of Indonesian online news articles presents challenges in clustering based on content similarity. This study aims to develop a clustering system for online news articles using the k-medoids method. A total of 500 articles from Kaggle were processed through text preprocessing (case folding, tokenizing, stopword removal, and stemming), TF-IDF weighting, and clustering with k-medo…
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- xv, VI-2 hlm.; ilus.; tab.; 29 cm.
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- T1844532025
PENCARIAN BAKAT (TALENT SCOUTINGI) RENANG PADA ANAK MENGGUNAKAN ALGORITMA K-N…
Swimming requires an objective and efficient talent identification system. This study develops a machine learning-based system using the K-Nearest Neighbors (KNN) algorithm to predict young athletes' potential based on anthropometric and motor skill data. The dataset consists of 50 normalized samples evaluated through K-Fold Cross Validation (K=5 and 10). Test results show the optimal configura…
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- xiv, IV-2 hlm.; ilus.; tab.; 29 cm.
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- T1844382025
RESTORASI CITRA TERDERAU DENGAN METODE NON-LOCAL MEANS DENOISING
Digital images are one of the most used for various applications that is always in our everyday life. These images always come with noises, an anomaly that distorts the image further from its original condition. This could be fatal to some of the everyday life usage that humans do, such as medical conditions. The method in this study, Non-Local Means will be used to restore these images to at l…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1574732024
KLASIFIKASI TUBERKULOSIS (TBC) DARI CITRA X-RAY MENGGUNAKAN METODE CONVOLUTIO…
Tuberculosis (TB) is one of the world's deadliest infectious diseases, affecting millions of people each year. Rapid and accurate diagnosis of TB is essential for effective treatment and control of the spread of the disease. This study develops a TB classification model from lung X-ray images using the Convolutional Neural Network (CNN) method with MobileNetV2 architecture. The dataset used con…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1590452024
SISTEM PENDETEKSIAN MULTI-WAJAH MENGGUNAKAN METODE SLICING AIDED HYPER INFERE…
Face detection is the basis of the recognition process used in various applications such as security, biometrics, and law enforcement. Multi-face detection becomes relevant for detecting face more than one at a time. The challenge in developing a multi-face detection system involves the complexity of managing several special conditions, one of which is the condition of different face orientatio…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1589732024
SISTEM DETEKSI PENYAKIT MATA KATARAK DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL …
Penyakit mata katarak merupakan salah satu penyebab utama kebutaan di dunia. Terbatasnya pengetahuan dan kewaspadaan masyarakat terkait penyakit ini, mengakibatkan semakin tingginya tingkat pengidap gangguan pengelihatan. Tujuan dari penelitian ini adalah untuk membangun sistem yang dapat mendeteksi penyakit mata katarak menggunakan Convolutional Neural Network (CNN). Diharapkan sistem ini dapa…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1567942024
IMPLEMENTASI LOGO MOTION GRAPHIC SEBAGAI IDENTITAS VISUAL RUMAH TAHFIDZ AMANAH
The implementation of the Motion Graphic Logo as the Visual Identity of the Rumah Tahfidz Amanah is a solution that can meet the needs of the owner of the Rumah Tahfidz Amanah and become a benchmark for other Rumah Tahfidz. This logo was repaired and modified or updated into an animation to create and recognize the visual identity of Rumah Tahfidz Amanah. The methods used in making this logo in…
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- xiv, 102 hlm.; ilus.; 29 cm
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- T1567892024
APLIKASI PENGELOLAAN STOK OBAT DI APOTEK SERAMED PALEMBANG BERBASIS WEBSITE
Seramed Pharmacy in its daily activities still uses conventional systems, especially in recording transaction data, both incoming goods and sales data. So there are shortcomings, for example the potential for errors to occur in recording and calculating transaction data. The aim of this research is to assist in website-based applications for managing drug stock at the Seramed Palembang Pharmacy…
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- xvi, 103 hlm.; ilus.; 29 cm
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- T1569272024
ANALISIS SENTIMEN ULASAN RESTORAN PADA TRIPADVISOR MENGGUNAKAN MERTODE SELEKS…
Tripadvisor is a website that provides information about restaurants, user-generated restaurant reviews.data in the form of comment text. However, there are many features in review makes textual data ambiguous, thus causing difficulties sentiment analysis. To overcome this challenge, this research uses Information Gain feature selection method to reduce high features dimensions in sentiment ana…
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- xv, VI-2 hlm.; ilus.; tab, 29 cm
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- T1554202024
PERBANDINGAN METODE PENINGKATAN KUALITAS CITRA MEDIS HISTOPATOLOGI UNTUK KLAS…
This study aims to enhance the dataset of lung cancer histopathological images. There is already exist CNN architecture for lung cancer classification, but only have accuracy of 71%. The dataset of lung cancer histopathological images suffers from poor color constancy and contrast due to variability in image capture, management, analysis, and data collection processes. To address these issues, …
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- xiv, 55 hlm.; ilus.; tab, 29 cm
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- T1556462024
APLIKASI PENGAJUAN CUTI KARYAWAN BERBASIS WEBSITE PADA PT RICKY KENCANA SUKSE…
The development and use of information technology is very rapid and plays a very important role in supporting human activities in terms of optimizing time. However, there are still institutions that have not maximized technological advances, one of which is at PT Ricky Kencana Sukses Mandiri in managing the performance of employee leave applications that are still manual such as filling out for…
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- xvi, 57 hlm.; ilus.; tab, 29 cm.
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- T1563422024
APLIKASI PENDATAAN PEGAWAI YANG BERPRESTASI BERBASIS WEBSITE PADA PT PERTAMIN…
Berdasarkan hasil observasi penulis pada PT Pertamina (Persero) Kertapati Palembang, penulis menjumpai bahwa proses pendataan pegawai yang berprestasi masih dilakukan secara terpisah-pisah pada file dan buku catatan, sehingga proses pengelolaan dan pencarian data menjadi lebih sulit. Adapun proses pendataan pegawai yang berprestasi dilakukan menggunakan kertas, formulir, atau spreadsheet, yang …
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- xii, 47 hlm.; ilus.; tab, 29 cm
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- T1536412024
PENCARIAN RUTE TERDEKAT PADA PERMAINAN DENGAN HALANGAN DINAMIS MENGGUNAKAN ME…
Pathfinding in games presents a complex challenge, particularly when the game environment is dynamic and unpredictable. The D* Lite algorithm is an advanced solution that offers advantages in efficiently finding optimal paths in environments that frequently change. Unlike conventional pathfinding algorithms, D* Lite can quickly update previously computed paths when changes occur in the map, suc…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1567922024
KLASIFIKASI KUALITAS BIJI KOPI MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NET…
Kopi merupakan salah satu komoditas unggulan Indonesia dengan nilai ekonomi yang tinggi. Penentuan kualitas biji kopi secara konvensional masih dilakukan secara manual oleh tenaga ahli, yang memerlukan waktu cukup lama dan berpotensi menimbulkan subjektivitas. Penelitian ini bertujuan untuk mengklasifikasikan kualitas biji kopi menggunakan algoritma Convolutional Neural Network (CNN) dengan ars…
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- xvi, 125 hlm.; ilus.; tab, 29 cm
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- T1892972025
PERBANDINGAN METODE AUTOMATIC CHEN DAN METODE AUTOMATIC LEE PADA FUZZY TIME S…
The farmer exchange rate is a comparison of the price index received and the price index paid by farmers. Forecasting the ever-changing farmer exchange rate is a reference for making a forecasting program. Many methods can be used to forecast the population, one of which is the Fuzzy Time Series method. In this study, a comparison was made between two methods, namely the Chen method and the Lee…
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- x, 73 hlm.; ilus.; 29 cm
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- T1520062024
PENGAMANAN PESAN TEKS MENGGUNAKAN METODE KRIPTOGRAFI MODIFIED TWOFISH
A message is information that is conveyed from one party to another. Messages must also have security that is useful for maintaining confidentiality and avoiding other parties from manipulating the contents of the message. To answer the message security problem, we can use cryptography techniques. This research uses the Twofish algorithm as one of the cryptographic techniques to secure messages…
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- xiii, 126 hlm.; ilus.; 29 cm
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- T1520812024
EXTRACTIVE SUMMARIZATION BERITA BERBAHASA INDONESIA MENGGUNAKAN LSTM
In the internet era, the vast amount of available information makes it challenging for readers to find relevant news and requires time to read entire documents to extract desired information. Therefore, summaries are needed to help readers extract and represent the most crucial information from news articles efficiently and effectively. This research focuses on developing an Extractive Summariz…
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- xii, VI-1 hlm.; ilus.; tab, 29 cm
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- T1563432024
SISTEM REKOMENDASI JURUSAN KULIAH SISWA SMA BERDASARKAN NILAI RAPOR DENGAN AL…
The determination of study programs for college is an essential for high school students who choose to pursue their studies. The aim of this research is to develop a web application-based college major recommendation system. This research applies a system design and development methodology using the Waterfall model approach. The data used is primary data which contains student report card score…
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- xiv, IV-2 hlm.; ilus.; tab, 29 cm
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- T1563102024
KLASIFIKASI EMOSI MANUSIA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATAS…
Advances in signal processing technology and machine learning have created opportunities to leverage electroencephalogram (EEG) signals for more advanced human emotion recognition. This study aims to develop a human emotion classification model based on a Convolutional Neural Network (CNN) using the SEED-IV dataset, focusing on four emotion classes: happy, sad, fear, and neutral. The data consi…
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- xiii, 98 hlm.; ilus.; tab, 29 cm
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- T1888242025
PENGENALAN WAJAH PADA CITRA RESOLUSI RENDAH MENGGUNAKAN ARCFACE DAN GFPGAN
Facial recognition, as a result of the integration of artificial intelligence and computer technology, continues to develop and has the potential for widespread application, but most existing methods are trained on high-resolution images in controlled environments. In real-world conditions, limitations in camera distance, device quality, and environmental conditions make it difficult to obtain …
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- xviii, 166 hlm.; ilus.; tab, 29 cm
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- T1892862025
RANCANG BANGUN SISTEM INFORMASI PENYEWAAN KOSTUM COSPLAY BERBASIS WEB MENGGUN…
Michiru Cosrent is a cosplay costume rental service provider in Palembang that still applies manual transaction recording, which may lead to input errors, delayed recordings, and limited information access for customers. Thisstudy aims to design and develop a web-based cosplay costume rental information system to facilitate rental data management and provide convenience for customers in making …
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- xiv, 89 hlm.; ilus.; tab, 29 cm
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- T1889572025
KLASIFIKASI FRAKTUR TULANG PADA CITRA RONTGEN MENGGUNAKAN METODE CANNY EDGE D…
Fractures in bones are a common occurrence in the medical field. Accidents are the leading cause of such injuries in Indonesia, particularly among children and males. Currently, fracture identification through X-ray images is performed using conventional methods that rely on visual analysis by doctors, which are often inaccurate. This study proposes the use of Convolutional Neural Network (CNN)…
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- xiv, VI-2 hlm.; ilus.; tab, 29 cm
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- T1559092024
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