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Menampilkan 1–4 dari 4 artikel
Perbandingan Performa Labeling Lexicon InSet dan VADER pada Analisa Sentimen Rohingya di Aplikasi X dengan SVM
Muhammad Fernanda Naufal Fathoni
; Eva Yulia Puspaningrum
; Andreas Nugroho Sihananto
Modem : Jurnal Informatika dan Sains Teknologi
Vol 2
, No 3
(2024)
Rohingya in Indonesia has become trending conversation on social media. Sentiment analysis can get public responds. Big data makes the problem time efficiency labeling process, therefore the lexicon dictionary is needed for the labeling process. Data is growing and circulating very rapidly so it takes a fast and efficient time. Although it is fast and makes it easier to solve problems, it is still necessary to question the accuracy produced when using the lexicon labeling. A comparison of the la...
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Klasifikasi Penyakit Kronis Melalui Mata Menggunakan Algoritma Convolutional Neural Network Dengan Model MobileNet-V3
Mohammad Haydir Awaludin Waskito
; Andreas Nugroho Sihananto
; Achmad Junaidi
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Vol 2
, No 2
(2024)
Chronic diseases in humans are very difficult to detect visually, for example glaucoma, hypertension, diabetes, and others. So it takes a lot of time for further medical examination by visiting a health center or hospital. Therefore, this research aims to find a solution combining medical and computer science to classify quickly and precisely. Classifying eye images requires good features and characteristics so that disease images can be classified. This research uses the Deep Learning method, n...
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Implementasi Arsitektur Inception V3 Dengan Optimasi Adam, SGD dan RMSP Pada Klasifikasi Penyakit Malaria
Eren Dio Sefrila
; Basuki Rahmat
; Andreas Nugroho Sihananto
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 2
, No 2
(2024)
In the current era of technological advancement, deep learning has become a widely discussed and utilized topic, particularly in image classification, object detection, and natural language processing. A significant development in deep learning is the Convolutional Neural Network (CNN), which is enhanced with various optimizations such as Adam, RMSProp, and SGD. This thesis implements the Inception v3 architecture for the deep learning model, utilizing these three optimization methods to classif...
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Pengembangan Aplikasi Pembelajaran Grammar Bahasa Inggris Menggunakan Gamifikasi dan ChatGPT
Lintang Pramudya Anpurnan
; Andreas Nugroho Sihananto
; Pratama Wirya Atmaja
Router : Jurnal Teknik Informatika dan Terapan
Vol 2
, No 2
(2024)
Education serves as the main pillar in the effort to develop human resources, continually evolving in line with the progress of time. Within the realm of education, English language learning plays a crucial role. However, the process of English language learning often faces challenges, including low levels of student motivation. This research explores the use of gamification with integrated chatGPT as an innovative solution capable of boosting student motivation and making learning more engaging...
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