SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGOR…

The development of music streaming platforms has created a "paradox of choice" phenomenon, where the abundance of music options makes it difficult for users to find songs that match their preferences. This research develops a music recommendation system using Content-Based Filtering method and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm to address this issue. The study aims to …

KLASIFIKASI BERBASIS ONTOLOGI UNTUK DOKUMEN TUGAS AKHIR DENGAN METODE PEMBOBO…

The classification of undergraduate thesis documents is a crucial process for organizing and categorizing student research into appropriate fields of study. This research develops an ontology-based document classification system for final projects by integrating the FastText word embedding method to improve classification accuracy. The system utilizes BidangIlmuInformatika.owl ontology as a kno…

KLASIFIKASI KECOCOKAN TANAMAN DENGAN PARAMETER DATA PH DAN KELEMBABAN TANAH M…

Terdapat peningkatan penggunaan kemajuan teknologi khusunya dalam bidang kecerdasan buatan dan Internet of Things (IoT). Penggunaan kecerdasan buatan dalam bidang pertanian seperti Internet of Things (IoT) dapat mengoptimalkan hasil panen petani, misalnya aplikasi pemantauan Ph dan Kelembahan yang membuat petani mengatahui nilai Ph dan Kelembaban secara real time dan menampilkan tanaman apa yan…

IMPLEMENTASI DAN ANALISIS PERFORMA HIGH AVAILABILITY WEB SERVER PADA CLUSTER …

Pada masa kini semakin meningkat pengguna internet yang mengakses website pada waktu tertentu yang mana dapat menyebabkan kinerja web server menjadi buruk hingga mengalami downtime. Maka dari itu diperlukan sebuah sistem yang dapat aktif menjalankan web server secara terus menerus tanpa gangguan, yaitu Kubernetes. Kubernetes menerapkan cluster based yang terdiri dari satu node master dan bebera…

SISTEM REKOMENDASI COLLABORATIVE FILTERING MENGGUNAKAN KOMBINASI METODE CLUST…

A recommendation system helps collect and analyze user data to generate personalized recommendations for users. A recommendation system for movies has been implemented, considering the vast number of available films and the difficulty users face in finding movies that match their interests. One popular recommendation method is Collaborative Filtering (CF). Although widely applied, CF still has …

DETEKSI STRUKTUR JANTUNG PADA ANAK DENGAN VIDEO ULTRASOUND MENGGUNAKAN DEEP L…

Medical imaging, such as ultrasound, is widely used in various diagnoses and medical treatments due to its advantages, including being a comfortable, non-invasive procedure, radiation-free, affordable, and capable of real-time observation. Therefore, the application of deep learning is expected to be used for object detection in children's hearts. This study employs YOLOv5, YOLOv7, and YOLOv8 m…

OPTIMASI ALGORITMA NAIVE BAYES DENGAN PARTICLE SWARM OPTIMIZATION UNTUK MENIN…

Water quality is a fundamental aspect of life, particularly in regions that rely on rivers as the primary source of raw water. However, anthropogenic activities such as industrial, agricultural, and domestic processes have contributed to increasing water pollution, while the demand for clean water continues to rise in line with population growth. This study aims to develop a water quality class…

KLASIFIKASI JENIS GANGGUAN TIDUR MENGGUNAKAN METODE LONG SHORT TERM MEMORY (L…

Sleep quality plays a critical role in maintaining physical, mental, and emotional wellbeing. Early detection of sleep disorders such as insomnia and sleep apnea is essential for enabling more effective clinical interventions. This study investigates the optimization of sleep disorder classification using Long Short-Term Memory (LSTM) networks based on time-series data incorporating 13 physiolo…

PENGEMBANGAN ALAT DETEKSI API PADA KEBAKARAN BERBASIS KAMERA DAN SENSOR GPS S…

Fires are unexpected events that often occur in daily life, causing significant threats and losses to the public. Early fire detection plays a crucial role in disaster mitigation and environmental protection efforts, especially in areas prone to fire incidents such as forests and open lands. Delays in detecting the presence of fire can lead to wider and harder-to-control spread. Therefore, a sy…

DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE LOGISTIC REGRESSION

Botnets are a serious cyberattack threat that infects computer networks controlled by botmasters to carry out malicious activities. Various types of botnets have emerged over the years, posing a significant threat to cybersecurity. These botnets' malicious activities vary from executing instruction-based attacks such as DDoS attacks, flooding, and spamming. This study used the CICIoT2023 datase…

KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

Edition

-

ISBN/ISSN

-

Collation

xvi, 76 hlm.; ilus.; tab.; 29 cm.

Series Title

-

Call Number

T1840272025

ANALISIS DAN PREDIKSI NILAI IMPOR INDONESIA MENGGUNAKAN PENDEKATAN ALGORITMA …

Accurate forecasting of import values is crucial for effective economic planning and policy-making in emerging economies like Indonesia. This study evaluates the performance of three prominent Machine Learning (ML) models—Support Vector Regression (SVR), Random Forest, and Decision Tree—for forecasting Indonesian goods and services imports. Utilising historical macroeconomic time series dat…

IMPLEMENTASI INTRUSION DETECTION SYSTEM MENGGUNAKAN SNORT BERBASIS PARALLEL C…

This research develops an Intrusion Detection System (IDS) based on Snort, optimized using parallel computing with the Message Passing Interface (MPI). The system is built with an architecture consisting of one master and two workers running Snort in parallel to detect ICMP traffic. Detection logs are collected through a shared folder and monitored by the master using a Python script, which als…

SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MENGGUNAKAN ARSITEKTUR RESVNET

The use of retinal images on the eye fundus is becoming an important tool in the medical world, especially for the diagnosis of eye diseases. Segmentation of blood vessels in retinal images is one of the important steps in medical analysis to detect and diagnose various eye diseases, such as diabetic retinopathy, glaucoma, and macular degeneration. Using the ResVNet method, segmentation is perf…

SERI BUKU SCHAUM TEORI DAN SOAL-SOAL Pengantar ILMU KOMPUTER

Edition

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ISBN/ISSN

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Collation

v, 279 hlm. : ilus. ; 26 cm

Series Title

-

Call Number

004 Sch s

PENGANTAR KOMPUTER DAN SISTEM INFORMASI DALAM DUNIA USAHA

Edition

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ISBN/ISSN

979-587-067-X

Collation

i, 68 hal. : 28 cm.

Series Title

-

Call Number

005.6 Mar p

ANALISIS KLASIFIKASI SHELLCODE DENGAN MACHINE LEARNING BERBASIS KLASIFIKASI B…

Internet dapat menghubungkan satu orang dengan orang lain dengan menggunakan perangkat masing-masing. Internet sendiri memiliki dampak positif dan negatif. Salah satu contoh dampak negatif dari internet adalah adanya malware yang dapat mengganggu atau bahkan membunuh perangkat atau penggunanya; itulah mengapa keamanan cyber diperlukan. Banyak metode yang dapat digunakan untuk mencegah atau mend…

ANALISIS PENERAPAN E-ELECTION DALAM PEMILU DI INDONESIA

E-democracy has become a solution for implementing the democratic process supported by information technology, which in its application has several models that can be used. One form of implementing democracy is the General Election (Pemilu). The part of e-democracy that focuses on the general election process is known as e-election. Elections in Indonesia itself are carried out in two ways, nam…

KLASIFIKASI KANKER PAYUDARA MENGGUNAKAN METODE CONVULATIONAL NEURAL NETWORK D…

Breast cancer is one of the leading causes of death among women worldwide. Early detection of breast cancer is crucial to increase the chances of recovery. This study aims to develop a breast cancer classification system using the Convolutional Neural Network (CNN) method with ResNet-50 and VGG-16 architectures. The data used in this study are breast ultrasound images obtained from a public dat…

ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI NIAT PERILAKU DAN PERILAKU PENGGUNAAN…

Seabank merupakan aplikasi bank digital yang dimiliki PT Bank Seabank Indonesia yang membantu dalam melakukan aktivitas finansial, mulai dari menabung hingga bertransaksi, melalui handphone kapan pun dan dimana pun. Namun, aplikasi seabank mengalami penurunan pengguna aktif dan open rate yang mana para pengguna mengeluhkan beberapa masalah baik dalam hal teknis maupun event atau keuntungan dala…

PEMODELAN DAN SIMULASI DAFTAR ULANG PENERIMAAN PESERTA DIDIK BARU PADA SEKOLA…

The New Student Admission (PPDB) process in high schools is complex and requires efficient management to avoid long queues and errors in data processing. Until now, the Re-registration of New Student Admissions in high schools has always involved hundreds of prospective students in one school, resulting in long service and waiting times. Therefore, a solution is needed to address these issues a…

PENGEMBANGAN MODEL SEGMENTASI DAN ALIGMENT CITRA PRA KANKER SERVIKS MENGGUNAK…

Cervical cancer is one of the leading causes of death in women worldwide, so early detection of precancerous lesions is crucial to reduce mortality. Conventional screening methods such as VIA and Pap Smear still have limited accuracy and risk producing false positives and false negatives. This study aims to develop a deep learning-based cervical image segmentation model using the You Only Look …

OPTIMASI STRATEGI PENJUALAN MELALUI INTEGRASI METODE K-NEAREST NEIGHBORS (KNN…

In today's competitive digital era, optimizing sales strategies is crucial for sustaining online business growth. This study aims to identify best-selling products by integrating the K-Nearest Neighbors (KNN) algorithm and linear regression. The research utilizes sales data from the fashion brand "Zaskia Sungkar Jakarta" on the Shopee e-commerce platform. The KNN method is applied to classify p…

ARSITEKTUR U-NET PADA SEGMENTASI CITRA PARU UNTUK MENDETEKSI NODUL PARU

Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi model U-Net dalam tugas segmentasi citra paru guna mendeteksi nodul paru. Model U-Net yang dilatih berhasil mencapai akurasi sebesar 94%, menunjukkan kemampuannya dalam membedakan area nodul dari jaringan paru normal dengan tingkat kesalahan yang rendah. Keberhasilan ini didukung oleh proses pelatihan yang mencakup preprocessing data…

PENDEKATAN KOMBINASI MODEL UTAUT 2 DAN DELONE & MCLEAN UNTUK MENGIDENTIFIKASI…

Mobile banking is a digital banking innovation designed to simplify transactions and account management. However, based on Playstore reviews, 30% of users still face issues, particularly in accessing the app, which leads to transaction failures. This study aims to identify the factors influencing user satisfaction using the SEM-PLS method, which is suitable for complex models with multiple late…

KLASIFIKASI DUA TAHAP PADA IMAGE DEBLURRING WAJAH BERDASARKAN JENIS DAN TINGK…

Image blur, particularly in facial images with varying types and severity levels, can significantly degrade visual quality and hinder the performance of facial recognition systems. This study proposes a two-stage classification approach for image deblurring based on Convolutional Neural Networks (CNN) and U-Net. The approach separates the classification of blur type and blur severity before app…

PREDIKSI PENERIMA BEASISWA KARTU INDONESIA PINTAR KULIAH DENGAN HYBRID BACKPR…

The Indonesia Smart Card (KIP) College Program aims to improve the quality of human resources by providing educational assistance to students from underprivileged families. However, the distribution of KIP College in Palembang still faces problems, such as inaccuracy in targeting and a lack of public understanding of the program. The suboptimal selection process for scholarship recipients resul…

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…

RULE BASE DENGAN UJI STATISTIK T-STUDENT UNTUK KETUNTASAN BELAJAR DAN HIERARC…

Assessment of learning completion is a crucial aspect in education, but conventional methods are often inaccurate and rigid, especially in accommodating variations in student abilities. This study aims to develop a more accurate and adaptive assessment system by combining the rule method based on the t-student statistical test to determine the threshold of incompleteness in learning mathematics…

PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU DENGAN METODE RANDOM FOREST BERDASAR…

On-time graduation is a crucial indicator for assessing the quality of higher education institutions. At the Postgraduate School of Sriwijaya University, delayed graduations remain a serious concern. This research aims to predict on-time student graduation by combining the random forest method with the K-means algorithm. The K-means algorithm is used to cluster students based on specific parame…