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Menampilkan 1–6 dari 6 artikel
PERANCANGAN FINANCIAL SAVING CHALLENGE DALAM MENINGKATKAN DAYA TARIK MENABUNG DENGAN MENGGUNAKAN METODE REINFORCEMENT LEARNING
Veri Arinal
; Nandang Sutisna
; Nova Dahliyanti
; Dinda Raudhatul Jannah
International Journal of Applied Mathematics and Computing
Vol 2
, No 1
(2026)
This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven m...
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Analisis Tingkat Kepuasan Pengguna QRIS Berdasarkan Pengalaman Dan Persepsi Pengguna twitter/ X Menggunakan Naive Baiyes
Veri Arinal
; Satria Wira Yudha
; Muhammad Joko Umbaran Kharis Bahrudin
; Dessyanti Ryantina
International Journal of Information Engineering and Science
Vol 2
, No 4
(2026)
QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The...
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ANALISIS SENTIMEN TRENDING TOPIK #INDONESIAGELAP DI MEDIA SOSIAL X MENGGUNAKAN ALGORITMA NAIVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION
Untung Surapati
; Veri Arinal
; Tri Wahyudi
; Ahmad Fauzan
International Journal of Applied Mathematics and Computing
Vol 2
, No 2
(2026)
The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The...
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Expert System For Diagnosing Brain Tumors Using the Certainty Factor (CF) Method
Veri Arinal
; Nuary Inaldi Simarmata
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 3
, No 2
(2025)
The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain t...
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