Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 1–4 dari 4 artikel
Deteksi Tingkat Konsentrasi Belajar Melalui Perilaku Siswa di Kelas Menggunakan Convolutional Neural Networks
Yuma Akbar
; Sopan Adrianto
; Rasiban Rasiban
; Nadya Khairunnisa
International Journal of Applied Mathematics and Computing
Vol 2
, No 1
(2026)
This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859)...
Sumber Asli
Google Scholar
DOI
Analisis Sentimen Terhadap Kinerja Hukum Di Indonesia Berdasarkan Tanggapan Komentar Twitter Menggunakan Algoritma Naive Bayes
Rasiban Rasiban
; Dadang Iskandar Mulyana
; Muhammad Joko Umbaran Kharis Bahrudin
; Nicola Marthy
International Journal of Information Engineering and Science
Vol 2
, No 2
(2026)
The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- p...
Sumber Asli
Google Scholar
DOI
Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe
Mesra Betty Yel
; Sopan Adrianto
; Rasiban Rasiban
; Eva Widiyanti
International Journal of Information Engineering and Science
Vol 2
, No 2
(2026)
The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective....
Sumber Asli
Google Scholar
DOI
Implementasi Akses Blok Jaringan Media Sosial Menggunakan Fortinet Studi Kasus di PT Estrada
Rasiban Rasiban
; Tri Wahyudi
; Elviwani Elviwani
; Aditya Bagas Pramudhi
International Journal of Computer Technology and Science
Vol 1
, No 1
(2026)
Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to b...
Sumber Asli
Google Scholar
DOI