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 …
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…
Hate speech on social media is a serious issue that can trigger discrimination and social conflict, highlighting the need for an automated classification system to identify different types of hate speech. This study aims to develop an Indonesian hate speech classification system by combining IndoBERT embeddings as text representations and Support Vector Machine (SVM) as the classification algor…
Kuzushiji is a cursive writing style used in various classical Japanese manuscripts. Over time, this script has become difficult for modern readers to interpret. This condition encourages the need for research on the automatic classification of characters written in this style to support the study and understanding of classical Japanese texts. This study applies the Support Vector Machine (SVM)…
This research aims to analyze the sentiment of the documentary film "Dirty Vote" based on public comments on social media X using the Support Vector Machine (SVM) method. The movie "Dirty Vote" is a criticism of the implementation of elections and candidate pairs in Indonesia, thus triggering various reactions among the public. Public comments on social media X became a valuable source of infor…
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…
News is an important source of information in society, and classification of news headlines is a challenge for organizing this information. This research aims to develop software that is able to classify Indonesian news headlines into 3 categories using the Support Vector Machine method with Chi-Square Feature Selection. The SVM method is known as an effective classification algorithm, while ch…
When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding of the how and why of its predictions. The question raised in this book is how can this ‘masked…
Pada zaman sekarang, kemasan kaleng menjadi salah satu masalah bagian kehidupan masyarakat sehari-hari. Salah satu ciri kemasan kaleng adalah tidak dapat didaur ulang secara alami atau biologis karena kaleng termasuk limbah anorganik. Oleh sebab itu, untuk mengurangi pencemaran lingkungan kaleng perlu didaur ulang berdasarkan jenisnya. Tujuan penelitian ini adalah untuk mengklasifikasi jenis ka…
This research develops an application to recognize Lampung Script images using Structured Support Vector Machine (SSVM) method and measures the accuracy of the recognition results. The process of recognizing Lampung Script uses three processes, they are preprocessing by binarizing, cropping, skeletonizing, and resizing; feature extraction process using zone method; and recognition process using…
Diagnosa penyakit merupakan salah satu penelitian yang sering dilakukan beberapa waktu terakhir. Dengan kondisi setiap penyakit memiliki jenis gejala yang cukup banyak dan hampir memiliki kemiripan gejala terhadap penyakit serupa dengan level yang berbeda. Hal ini dikarenakan gejala penyakit yang sama memiliki beragam gejala yang dapat menjadi pertimbangan dalam melakukan klasifikasi. Pros…
Manusia secara umum dapat diklasifikasikan menjadi dua kelompok, yaitu laki-laki dan perempuan. Jenis kelamin seseorang memiliki karakteristik yang berbeda antara satu dengan lainnya. Salah satu perbedaan tersebut dapat dianalisis melalui wajah. Klasifikasi wajah laki-laki dan perempuan dapat dilakukan dengan metode komputasi melalui media perangkat lunak. Metode komputasi tersebut menggun…
Pengklasifikasian jenis kelamin sangat penting dalam proses pencarian identitas seseorang. Jenis kelamin dapat dikelompokan berdasarkan beberapa ciri biometric seperti wajah, iris dan sidik jari. Pada penelitian ini dibangun sebuah perangkatlunak yang dapat mengklasifikasi jenis kelamin berdasarkan sidik jari menggunakan Support Vector Machine. Citra sidik jari diekstraksi dengan menggunakan ci…
Penentuan keaslian tanda tangan sulit dideteksi melalui mata biasa, karena tanda tangan mudah untuk ditiru. Oleh karena itu, penelitian ini mengembangkan suatu perangkat lunak untuk verifikasi tanda tangan. Citra masukan yang digunakan berupa tanda tangan asli dan tanda tangan palsu yang berasal dari database CEDAR terdiri dari 55 responden. Citra tanda tangan dilakukan proses prapengolahan men…