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
Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM
Sutisna Sutisna
; Tri Wahyudi
; Dwi Swasono Rachmad
; Fachrur Rozi
International Journal of Information Engineering and Science
Vol 2
, No 3
(2026)
Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and man...
Sumber Asli
Google Scholar
DOI
Analisis Sentimen Publik terhadap Hashtag #kaburajadulu Menggunakan Kombinasi Algoritma Support Vector Machine (SVM) dan Random Forest
Yuma Akbar
; Frencis Matheos Sarimolle
; Dwi Swasono Rachmad
; Muhammad Derry Oktaviandi
International Journal of Applied Mathematics and Computing
Vol 2
, No 3
(2026)
This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing i...
Sumber Asli
Google Scholar
DOI
Stabilisasi Pengukuran Jarak Antar Landmark Untuk Gesture Recognition Menggunakan Regresi Polinomial
Dadang Iskandar Mulyana
; Tri Wahyudi
; Dwi Swasono Rachmad
; Muhammad Khalid
International Journal of Applied Mathematics and Computing
Vol 1
, No 3
(2026)
Gesture recognition technology is used to detect movements through image processing, enabling computers or digital devices to understand and interpret human body movements as input or commands. This technology has great potential to bridge communication between the deaf community and individuals without hearing impairments, enhancing interaction and enriching mutual understanding between the two. However, the accuracy ofgesture recognition is often affected...
Sumber Asli
Google Scholar
Traffic Condition Classification Using IoT on Raden Inten II Road
Untung Surapati
; Yuma Akbar
; Dwi Swasono Rachmad
; Hadi Gunawan
International Journal of Applied Mathematics and Computing
Vol 2
, No 4
(2025)
Unmonitored traffic conditions often hinder decision-making processes in traffic management, particularly on secondary roads. Jalan Raden Inten II in East Jakarta is one of the connecting routes with heavy traffic activity at certain times, yet no integrated data-based monitoring system is currently available. This study proposes an Internet of Things (IoT)-based traffic condition classification system to identify Clear, Normal, or Congested states based on vehicle counts and speed categorizatio...
Sumber Asli
Google Scholar
DOI