CLUSTERING DATA GAJI KARYAWAN DI INDONESIA MENGGUNAKAN ALGORITMA KNN

Salary is an important aspect in the employment sector as it reflects job value and employee welfare. Along with the rapid growth of salary data availability, effective analytical methods are required to transform raw data into meaningful information. However, salary data are often complex and unlabeled, making direct analysis difficult. This study aims to group salary data using the K-Means al…

ANALISIS PERBANDINGAN ALGORITMA ANN, ANN-PSO, DAN ANN-GA UNTUK KLASIFIKASI KE…

Flight departure delays affect operational efficiency and the quality of air transportation services. This study compares the performance of the Artificial Neural Network (ANN), ANN optimized using Particle Swarm Optimization (ANN-PSO), and ANN optimized using Genetic Algorithm (ANN-GA) for flight delay classification using a two-class dataset, namely on-time and delayed flights, based on opera…

ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK PREDIKSI KETERLAMBATAN…

This research was conducted because departure delays on the Light Rail Transit can reduce passenger comfort and satisfaction. Therefore, a predictive model that can estimate delays accurately is needed. The purpose of this study is to implement, compare, and determine the best machine learning algorithm for predicting LRT departure delays in Canberra. The dataset used consists of static and rea…

IMPLEMENTASI METODE ADAPTIVE BOOSTING (ADABOOST) DALAM KLASIFIKASI KEJADIAN H…

Classifying rainfall events can be challenging when the available data is incomplete or contains missing values. Several imputation methods can be used to address missing data, such as the mean imputation method and the K-Nearest Neighbors Imputation method. For classification purposes, many techniques can be utilized, one of which is the Adaptive Boosting (AdaBoost) method. AdaBoost is designe…

ANALISIS K-MEANS CLUSTERING UNTUK MENGELOMPOKKAN WAKTU MINGGUAN BERDASARKAN E…

Infused water or spa water is water that is added with pieces of fruit and left to stand for a few hours until the juice comes out, then ready to be consumed, thus providing flavor and health benefits. The lime peel of an orange contains more than 60% flavonoids and 170 different types of phytonutrients. Processing lime as an infused water drink can be an alternative to overcome acidity in citr…

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…

KLASIFIKASI CITRA UNTUK MENDETEKSI KELUMPUHAN WAJAH MENGGUNAKAN ARSITEKTUR VG…

Facial paralysis is a condition characterized by the loss of motor function in the facial muscles and requires accurate clinical evaluation. Conventional visual assessments are often subjective, creating variability in diagnosis; therefore, a more consistent image-based assistance system is needed. This study develops an automated classification system for facial paralysis severity using the VG…

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…

KNOWLEDGE DISCOVERY DALAM KOMPARASI ALGORITMA ENSEMBLE BOOSTING PADA KLASIFIK…

Good water quality is one of the leading indicators in supporting the life of living things. However, pollution from industrial, domestic, and agricultural waste has resulted in a decline in water quality, which has the potential to cause environmental and health problems. Rapid technological advancements have made machine learning algorithms a viable alternative for classifying water quality. …

KNOWLEDGE DISCOVERY DALAM MEMPREDIKSI SKOR SUSTAINABLE DEVELOPMENT GOALS (SDG…

SDGs score prediction is important in assisting the planning and evaluation of policies to achieve these global targets. This study aims to compare the performance of several regression algorithms in predicting the SDGs score: Polynomial Regression, Support Vector Regression, Random Forest Regression, and Gradient Boosting Regressor. The dataset used consists of data on country names, years, SD…

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…

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…

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…

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…

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, …

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:…

ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X TERHADAP FILM SORE: ISTRI DARI MASA…

Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…

PENERAPAN PEWARNAAN GRAF DENGAN ALGORITMA WELCH POWELL PADA PENYUSUNAN PENJAD…

This study aims to obtain a course schedule based on graph coloring with the Welch Powell algorithm. The coloring method used is vertex coloring. This study uses data from 37 courses in the odd semester of 2022/2023, consisting of 20 compulsory courses, 17 elective courses, and 23 lecturer-directed courses. Collecting data on the list of odd semester courses and the names of the lecturers in ch…

PENERAPAN ALGORITMA RANDOM FOREST DAN K-NEAREST NEIGHBORS DALAM MEMPREDIKSI G…

Earthquakes occur due to the impact of volcanic activity in mountainous areas. Sumatra Island is one of the islands that has earthquake activity that occurs quite frequently, especially in the South Sumatra region. This research aims to get accurate results based on the best algorithm in predicting earthquakes in Southern Sumatra to determine the prediction of earthquakes in Southern Sumatra us…

IMPLEMENTASI ALGORITMA GREEDY PADA GAME FIFA 23 UNTUK PEMILIHAN TAKTIK DAN SU…

This study explores the implementation of the Greedy algorithm in FIFA 23, particularly within the Coach Career mode, to determine the most effective tactics and player formations. The Greedy algorithm is chosen for its ability to make fast, locally optimal decisions without considering long term consequences. The developed system evaluates various tactical and formation combinations and select…

KLASIFIKASI CITRA JENIS BUAH DAN SAYURAN MENGGUNAKAN ALGORITMA YOLOV11

Automatic image classification of fruits and vegetables plays a crucial role in enhancing efficiency in the agricultural and retail sectors, yet it faces challenges due to visual complexities such as intra-class variation and inter-class similarity. This research aims to implement and evaluate the effectiveness of the You Only Look Once version 11 (YOLOv11) algorithm, specifically the YOLOv11s-…

OPTIMASI RANDOM FOREST MENGGUNAKAN ALGORITMA GENETIKA PADA KLASIFIKASI KUALIT…

The air quality in a region significantly impacts the health of its residents. The Indonesian government has established the Air Quality Index (AQI) as a parameter to assess air quality and its effects on the health of individuals exposed to the air for several hours to several days. Several studies have found that machine learning methods, particularly the Random Forest algorithm, can be used …

VISUALISASI LALU LINTAS JARINGAN PADA SITUS JUDI ONLINE MENGGUNAKAN MACHINE L…

The rapid growth of online gambling in Indonesia poses significant challenges insocial, economic, and network security aspects. This study aims to visualize networktraffic patterns of online gambling sites using machine learning approaches,specifically the K-Means and DBSCAN algorithms. Data were collected throughnetwork tapping with Wireshark during access to online gambling sites andapplicati…

MODEL SET COVERING PROBLEM DAN ALGORITMA GREEDY HEURISTIC PADA PENENTUAN TITI…

This study aims to optimize the location of the stop point of the Feeder LRT Musi Emas on the LRT Polresta-Residential OPI Station Route using the Covering Based Problem (CBP) model formulation, namely the Set Sovering Location Problem (SCLP) and Maximal Covering Location Problem (MCLP) and the Greedy Heuristic algorithm with the LINGO 13.0 software tool. The Greedy Heuristic algorithm can solv…

ANALISIS SENTIMEN MEDIA SOSIAL UNTUK MENINGKATKAN REPUTASI BRAND ERSPO DENGAN…

Brand Erspo adalah sebuah brand produk olahraga yang diproduksi oleh Perusahaan Erigo. Erigo sendiri adalah apparel lokal yang mengkhususkan diri pada streetwear fashion yang digunakan pria dan wanita. Erigo telah menjalin kerjasama dengan PSSI untuk merancang jersey Skuad Garuda, menggantikan brand sebelumnya yaitu Mills. Erspo sempat menjadi trending topik pada media sosial X setelah rilis je…

PENGELOMPOKAN ARTIKEL ILMIAH MENGGUNAKAN ROBERTA DAN K-MEANS

The significant increase in the number of scientific articles published each year presents challenges in managing and utilizing information efficiently. This research aims to develop an automatic scientific article clustering system using a combination of RoBERTa method and K-Means algorithm, as well as evaluate its performance based on the Silhouette Score. The research data consists of 8,675 …

ANALISIS PERBANDINGAN ALGORITMA K-MEANS DAN KMEDOIDS UNTUK KLASTERISASI DATA …

This research focuses on the implementation and comparison of the KMeans and KMedoids algorithms that function as poverty data clustering in South Sumatra Province, the poverty data is taken from the Central Statistics Agency of Indonesia (BPS Indonesia). This research also aims to analyze the poverty level in South Sumatra Province by including additional variables such as average years of sch…

PENERAPAN DATA MINING DALAM MENGELOMPOKKAN BENCANA ALAM MENGGUNAKAN ALGORITMA…

Natural disasters are a major problem faced by many regions, including Central Java Province, where natural disasters often result in losses both in terms of casualties and material. This research focuses on the application of the K-Medoids algorithm to analyze data on natural disaster events in Central Java Province. The data analyzed in the time span of 2019 to 2023, which was obtained from t…

ALGORITMA DAN STRUKTUR DATA Bahasa C

Edition

1

ISBN/ISSN

978-602-8495-23-3

Collation

xvi + 402 hlm.; 1 Jil.: 19x26 Cm

Series Title

-

Call Number

005.1 Ngo a

ANALISA KEPADATAN KENDARAAN MENGGUNAKAN METODE K-NN DAN PENENTUAN JALUR TERBA…

Tujuan penelitian ini adalah Menganalisis jalur terbaik yang didapatkan berdasarkan hasil algoritma CH pada beberapa kondisi jalan di Kota Palembang. Penelitian dilakukan pada bulan Juni 2023 s.d. Maret 2024. Penelitian ini menggunakan YOLOv8 untuk perhitungan kendaraan pada rekaman CCTV, metode K-NN untuk memprediksi kondisi jalan, dan algoritma CH untuk penentuan jalur terbaik. Parameter yang…