KLASIFIKASI CITRA PUNCTA LACRIMAL NORMAL DAN ABNORMAL MENGGUNAKAN DEEP LEARNING

This study aims to classify normal and abnormal puncta lacrimal images using deep learning methods and to analyze the impact of data augmentation strategies on model performance. The dataset consisted of 61 images, including 30 normal and 31 abnormal images, which underwent a preprocessing stage by resizing all images to 256 × 256 pixels. Nine deep learning architectures were evaluated, includ…

UNDANG-UNDANG SISDIKNAS (SISTEM PENDIDIKAN NASIONAL) 2003 : UU RI NO.23 TH. 2003

Edition

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ISBN/ISSN

979-3421-40-1

Collation

viii, 155 hlm.; 21 m.

Series Title

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Call Number

379.598 Und u

ANALISIS PENERIMAAN GENERATIVE ARTIFICIAL INTELLIGENCE (AI) PADA PEMASARAN UM…

The advancement of digital technology, particularly Generative Artificial Intelligence (AI), has driven significant transformation in the marketing operations of Micro, Small, and Medium Enterprises (MSMEs). This study aims to analyze the acceptance of Generative AI in MSME marketing operations and examine its influence on customer loyalty by employing the Technology Acceptance Model (TAM). The…

PERBANDINGAN KOMBINASI INJEKSI PERINEURAL DAN ORAL MECOBALAMIN DENGAN TERAPI …

Background: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy, predominantly presenting with sensory symptoms such as numbness and tingling. Conservative therapy with oral mecobalamin is widely used; however, the onset of improvement is often slow. Perineural injection of mecobalamin may provide a faster local effect, but clinical evidence remains limited. This study aimed t…

KLASIFIKASI SERANGAN SPYWARE ANDROID MENGGUNAKAN METODE CONVOLUTIONAL NEURAL …

The increasing use of Android devices has led to a rise in security threats, particularly spyware attacks that threaten user privacy. Conventional signature-based detection methods have limitations in detecting new spyware variants. This study aims to classify Android spyware attacks using the Convolutional Neural Network (CNN) method. The dataset used is CIC-MalMem2022, consisting of memory du…

PRAKTEK SISTEM KETATANEGARAAN MENURUT UUD 1945

Edition

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ISBN/ISSN

-

Collation

167 hlm.; 22 cm.

Series Title

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Call Number

342 Sag p

DETEKSI SERANGAN SSL PINNING BYPASS DAN DDOS PADA JARINGAN SMARTHOME MENGGUNA…

The rapid development of the Internet of Things (IoT) has accelerated the implementation of smart home systems connected to the internet. However, this advancement also increases the risk of cyberattacks, particularly SSL Pinning Bypass, which threatens communication security, and Distributed Denial of Service (DDoS), which disrupts service availability. This study aims to detect both types of …

PENGEMBANGAN APLIKASI FOSSERA BERBASIS AUGMENTED REALITY SEBAGAI MEDIA EDUKAS…

Learning about ancient human fossils remains predominantly reliant on two-dimensional media and is further constrained by limited public access to museum collections, resulting in suboptimal implementation of interactive and contextual learning processes. This study aims to develop FOSSERA as an Augmented Reality (AR)-based educational application that presents three-dimensional visualizations …

PENDEKATAN NAMED ENTITY RECOGNITION TERHADAP IOB1 DAN IOB2 TAGGING SCHEME UNT…

Cyber Threat Intelligence (CTI) is essential to support cyber threat detection and mitigation, particularly for Advanced Persistent Threat (APT) activities that are commonly reported in unstructured text. This condition makes critical information difficult to utilize automatically without an entity extraction process. This study aims to analyze the performance of Named Entity Recognition (NER) …

DETEKSI ADVANCED PERSISTENT THREAT (APT) PADA CYBER THREAT INTELLIGENCE (CTI)…

The development of information technology has increased cyber attack threats, especially Advanced Persistent Threat (APT), so appropriate methods are needed to detect attacks based on Cyber Threat Intelligence (CTI) data. The main problems in this study are data imbalance and the difficulty in determining the most important features to improve detection results. To address these problems, this …

PENGEMBANGAN SISTEM KLASIFIKASI PENYAKIT ALZHEIMER PADA CITRA MAGNETIC RESONA…

Alzheimer's disease is a slowly progressing neurodegenerative disorder characterized by memory decline, visual-spatial impairment, executive function impairment, and personality and behavioral changes. Early detection of this disease is crucial for proper treatment. This study used MRI images to detect Alzheimer's disease, as MRI can provide a more detailed picture of brain structure and networ…

ANALISIS E-SERVICE QUALITY APLIKASI MYTELKOMSEL MENGGUNAKAN METODE CUSTOMER S…

Penelitian ini menganalisis kualitas layanan elektronik (e-service quality) pada aplikasi MyTelkomsel sebagai respons atas keluhan pengguna terkait lambatnya respons layanan dan kurang optimalnya fitur dukungan otomatis. Tujuan penelitian adalah mengukur tingkat kepuasan pengguna serta mengidentifikasi atribut layanan yang perlu diprioritaskan untuk perbaikan. Data dikumpulkan melalui kuesioner…

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JURUSAN SISWA BARU DI SMK TRI DHARMA MEN…

Penentuan jurusan di SMK Tri Dharma masih dilakukan secara manual dan cenderung subjektif, meskipun telah dilaksanakan tes akademik saat penerimaan siswa baru. Keputusan jurusan lebih banyak dipengaruhi pilihan pribadi atau orang tua tanpa mempertimbangkan hasil angket minat dan bakat secara menyeluruh, sehingga menimbulkan ketidaksesuaian jurusan dan penurunan motivasi belajar. Penelitian ini …

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…

ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK KLASIFIKASI TINGKAT KE…

Traffic accidents are a serious public safety issue that requires data-driven analytical approaches. This study aims to classify traffic accident severity into three classes, namely fatal, serious, and slight, using machine learning algorithms. Four algorithms are evaluated: Random Forest, Light Gradient Boosting Machine (LightGBM), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN). M…

FAKTOR-FAKTOR YANG MEMPENGARUHI PEMBELIAN IMPULSIF KONSUMEN SHOPEE PADA SAAT …

Penelitian ini mengkaji faktor-faktor psikologis yang memengaruhi perilaku pembelian impulsif konsumen selama acara flash sale Shopee di Kota Palembang dengan menggunakan kerangka Theory of Planned Behavior (TPB). Penelitian ini menggunakan pendekatan kuantitatif kausal dengan data survei dari 154 pengguna Shopee yang terlibat dalam pembelian flash sale. Data dianalisis menggunakan pendekatan S…

PENERAPAN FRAMEWORK CRISP-DM UNTUK ANALISIS SENTIMEN ULASAN APLIKASI CROWDFUN…

Ulasan pengguna pada platform crowdfunding memiliki nilai strategis sebagai bahan evaluasi kualitas layanan. Penelitian ini menganalisis sentimen ulasan pengguna aplikasi Kitabisa serta membandingkan kinerja algoritma Naive Bayes, Support Vector Machine (SVM), dan Random Forest dengan menerapkan framework CRISP-DM. Data penelitian terdiri dari 1.624 ulasan yang dikumpulkan dari Google Play Stor…

ANALISIS SENTIMEN PUBLIK PADA TWITTER TERHADAP IMPLEMENTASI KEBIJAKAN ROYALTI…

Penelitian ini menginvestigasi determinan perilaku impulsive buying selama acara Flash Sale di platform Tokopedia. Berlandaskan pada kerangka kerja Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), penelitian ini menguji pengaruh Hedonic Motivation dan Price Value terhadap Behavioral Intention, serta dampaknya terhadap Impulsive Buying. Pendekatan kuantitatif diterapkan dengan meng…

INTRUSION RESPONSE SYSTEM SERANGAN SIBER MAN-IN-THE-MIDDLE DENGAN METODE RAND…

The rapid adoption of Cyber-Physical Systems (CPS) has improved operational efficiency across critical sectors but has simultaneously increased exposure to cyber threats, particularly Man-in-the-Middle (MITM) attacks that covertly intercept and manipulate communication. In CPS environments, such attacks pose serious risks to system reliability and operational safety, thereby requiring security …

ANALISA LOAD BALANCING PADA CLOUD COMPUTING MENGGUNAKAN METODE LEAST CONNECTION

Cloud computing provides dynamic computing resources over a network. However, an increasing number of user requests can lead to higher server workloads and decreased service performance. This study aims to analyze the performance of load balancing using the Least Connection method with HAProxy as the load balancer. The system was implemented in a VMware-based virtual machine environment consist…

SISTEM REKOMENDASI SELEKSI PENERIMA MAKANAN TAMBAHAN UNTUK PENCEGAHAN STUNTIN…

Stunting remains a significant health problem in Indonesia, particularly among toddlers. The government has attempted to prevent stunting through various programs, one of which is the Supplementary Feeding Program (PMT) for toddlers. However, in practice, the distribution of PMT assistance is often not well-targeted due to the lack of an adequate support system. This study aims to develop a Dec…

SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI MAKANAN BAGI PENDERITA DIABETES TIPE 2…

Type 2 diabetes mellitus is a chronic metabolic disease that requires proper dietary management to control blood glucose levels. However, many people with diabetes experience difficulties in determining food choices that meet their daily nutritional needs. Therefore, this study aims to develop a decision support system for healthy food recommendations for patients with type 2 diabetes mellitus.…

ANALISIS ENGAGEMENT MEDIA SOSIAL HIMSI (STUDI KASUS AKUN INSTAGRAM @HIMSIUNSRI)

Penelitian ini bertujuan untuk menganalisis tingkat keterlibatan (engagement) pada akun Instagram @himsiunsri sebagai media komunikasi strategis organisasi HIMSI di lingkungan Fakultas Ilmu Komputer Universitas Sriwijaya. Kajian difokuskan pada periode Agustus hingga November 2025 dengan meninjau perkembangan jumlah pengikut, intensitas dan konsistensi unggahan, performa kategori konten, serta …

KLASIFIKASI KEPUTUSAN PEMBELIAN SKINCARE DI TIKTOK SHOP BERDASARKAN FAKTOR IN…

Perkembangan TikTok Shop sebagai platform social commerce meningkatkan peran influencer dalam memengaruhi keputusan pembelian produk skincare. Namun, kompleksitas faktor influencer yang terlibat menyulitkan identifikasi pola keputusan pembelian secara sistematis. Penelitian ini bertujuan untuk mengevaluasi secara eksploratif penggunaan algoritma Decision Tree dalam mengklasifikasikan keputusan …

STRUKTUR KOMUNITAS ECHINODERMATA PADA EKOSISTEM LAMUN DI PULAU PAHAWANG, LAMPUNG

truktur Komunitas Echinodermata Pada Ekosistem Lamun Di Pulau Pahawang, Lampung (Pembimbing : Dr. Anna Ida Sunaryo, M.Si dan Dr. Riris Aryawati, S.T., M.Si) Ekosistem lamun berfungsi sebagai habitat penting bagi Echinodermata. Penelitian ini bertujuan untuk mengidentifikasi spesies Echinodermata serta menganalisis struktur komunitas yang meliputi komposisi dan kelimpahan di Pulau Pahawang, sert…

KEMAMPUAN PEMODELAN MATEMATIKA SISWA KELAS IX PADA KONTEKS PERUBAHAN IKLIM MA…

Pemodelan matematika merupakan proses menerjemahkan masalah dunia nyata ke dalam pernyataan matematis untuk merepresentasikan fenomena dunia nyata guna menyelesaikan sebuah permasalahan yang ada. Kemampuan pemodelan matematika adalah kemampuan untuk menggunakan konsep dan teknik matematika untuk merepresentasikan, menganalisis, dan menyelesaikan masalah dunia nyata Penelitian ini mengangkat kon…

DETERMINASI STABILITAS SISTEM PERBANKAN ASEAN; ANALISIS REGRESI PANEL TERHADA…

This study aims to analyze the determinants of banking system stability in ASEAN countries using a microprudential approach. Banking stability is proxied by two indicators: the Z-Score representing the probability of bank insolvency, and Non-Performing Loans (NPL), representing credit risk. The analysis employs panel data regression with a Fixed Effect model on 438 commercial banks from six ASE…

ANALISIS USER EXPERIENCE PADA APLIKASI JOOX MENGGUNAKAN USER EXPERIENCE QUEST…

Penelitian ini menganalisis pengalaman pengguna pada aplikasi JOOX menggunakan User Experience Questionnaire (UEQ). Aplikasi JOOX, yang populer di Asia, menawarkan fitur pemutaran musik. Penelitian ini menggunakan metode kuantitatif yang dimana data dikumpulkan melalui kuesioner dan disebarkan kepada pengguna aplikasi JOOX. Hasil analisis menunjukkan bahwa empat dari enam aspek pengalaman pengg…

IMPLEMENTASI METODE FASTER REGION CONVOLUTIONAL NEURAL NETWORK UNTUK DETEKSI …

Accurate and efficient ship detection has become an urgent necessity amid increasing maritime activities, including security monitoring, law enforcement, and maritime traffic management. This study aims to implement the Faster R-CNN (Region-based Convolutional Neural Network) method for ship detection to improve efficiency and accuracy compared to conventional methods. The data used in this stu…