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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...
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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)...
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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...
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ANALISIS SENTIMEN MEDIA SOSIAL TERHADAP PENGGUNAAN INSTAGRAM OLEH ANAK USIA DINI PENGEMBANGAN SISTEM INFORMASI EDUKATIF BERBASIS NAÏVE BAYES
Yuma Akbar
; Sugiyono Sugiyono
; Dedi Gunawan
; Salsabila Putri W
International Journal of Information Engineering and Science
Vol 2
, No 1
(2025)
This study aims to classify the level of satisfaction of Dasawisma cadres with the Carik application in West Semper Village by utilizing the Naive Bayes method. Data was obtained through questionnaires, which were compiled based on three main aspects: ease of use, speed of access, and the usefulness of applications in supporting cadre tasks. After the data is collected, a pre-processing and labeling process is carried out, where the level of satisfaction of respondents is categorized into two cl...
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Classification of Sales of Best-Selling Products in Ira Store Using Naive Bayes Algorithm and K-Nearest Neighbor Algorithm
Yuma Akbar
; Kiki Setiawan
; Muhammad Joko Umbaran Kharis Bahrudin
; Intan Purwasih
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 4
(2024)
In today's world of retail and technology, competition is fiercely competitive. With the development of retail businesses increasing in number and mushrooming in a region, consumer needs are increasing, and retail business players are competing to develop their businesses by utilizing existing technology. Daily sales transaction data continues to increase, causing a lot of storage. Toko Ira has more than 228 sales transaction data records from 2023 to 2024 that have not been used. Data requires...
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