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…

PERBANDINGAN ALGORITMA LINEAR CONGRUENT METHOD (LCM) DAN FISHER-YATES SHUFFLE…

Board Game is a game that can be played by two or more people by moving pieces on the board, for example, the Mastermind game. By implementing Artificial Intelligence (AI) in the Mastermind game, users can play against the computer system implementing AI without having to wait for others. By applying the Fisher Yates Shuffle Algorithm and Linear Congruent Methods, the aim is to allow users to p…

PENENTUAN POLA PEMINJAMAN BUKU PERPUSTAKAAN UNIVERSITAS SRIWIJAYA MENGGUNAKAN…

The problem of unorganized book borrowing in libraries can interfere with the effectiveness of services and collection management. This research analyzes book lending patterns in Sriwijaya University library using Apriori algorithm, which identifies associations and hidden patterns in lending data, with data from 2019 to 2023. The test results show that in 2021 266 rules were formed with the hi…

OPTIMASI ALGORITMA DECISION TREE MENGGUNAKAN METODE ARTIFICIAL BEE COLONY UNT…

Diabetes is a long-term or chronic disease. Diabetes can attack anyone and under any conditions and will continue for a lifetime. In reality, most diabetes is predicted too late, causing complications with other diseases which will ultimately lead to death. This system is expected to be able to alert the risk of complications in diabetes patients in the future. Extract knowledge from diabetes d…

 ANALISA KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETW…

Pada penerapan AI untuk menentukan kepadatan kendaraan di kota Palembang yang terpantau oleh kamera penulis menggunakan algoritma Convolutional Neural Network. kemudian untuk Mencari rute terbaik dalam arti menentukan jalur yang paling cepat dan hemat biaya untuk mencapai suatu tujuan. Penulis menggunakan algoritma Ant Colony untuk mencari jalur terbaik, YOLOv8 untuk awal perhitungan kendaraan …

OPTIMASI ALGORITMA RANDOM FOREST MENGGUNAKAN ALGORITMA GENETIKA UNTUK KLASIFI…

Stroke is the second leading cause of death globally. A lack of knowledge regarding stroke risk factors results in high incidence and mortality rates. Using a classification approach can effectively address this issue. Classification involves grouping categories or classes based on patterns or characteristics found in the data. By classifying stroke patient data, we can identify patterns of str…

PENCARIAN RUTE TERPENDEK UNTUK PENGIRIMAN BARANG DI KOTA PALEMBANG MENGGUNAKA…

Finding the shortest route in delivering is an important aspect in logistics efficiency, especially in urban environments such as Palembang City. Genetic algorithm was chosen due to its flexibility in handling optimization problems involving many variables. The research was conducted by varying the values of genetic algorithm parameters such as population size, iterations, crossover rate, and m…

OPTIMASI ALGORITMA NAÏVE BAYES MENGGUNAKAN ARTIFICIAL BEE COLONY UNTUK KLASI…

This research aims to optimize the Naïve Bayes algorithm for feature selection of stroke disease patient data using the Artificial Bee Colony (ABC) method. Naïve Bayes is one of the simple yet effective classification algorithms. However, Naïve Bayes performance can decrease when there are irrelevant features in the data. To overcome this problem, a feature selection method with Artificial B…

Buku Teks Ilmu Komputer: ALGORITMA & PEMROGRAMAN Dalam Bahasa Pascal dan C, E…

Edition

2

ISBN/ISSN

979-95779-2-6

Collation

xi ,347 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

005.1 Mun a

Buku Teks Ilmu Komputer: ALGORITMA & PEMROGRAMAN Dalam Bahasa Pascal dan C, E…

Edition

-

ISBN/ISSN

979-95779-2-6

Collation

xi ,347 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

005.1 Mun a

ALGORITMA & PEMROGRAMAN DALAM BAHASA PASCAL dan C, Edisi Revisi

Edition

Revisi

ISBN/ISSN

978-602-8758-21-5

Collation

xvi, 590 hlm. ; 23 cm

Series Title

-

Call Number

518.1 Mun a