Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal INTI Nusa Mandiri Jurnal Teknologi Informasi dan Komunikasi International Journal of Community Service
Pratama, Febryawan Yuda
Unknown Affiliation
Religion Humanities Computer Science & IT Control & Systems Engineering Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Implementation Of Finite State Automata In A Laundry Perfume Vending Machine For Clothes And Carpets Desvia, Yessica Fara; Pratama, Febryawan Yuda; Suhendri, Suhendri
Jurnal Teknologi Informasi dan Komunikasi Vol 18 No 2 (2025): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v18i2.296

Abstract

Perfume is popular among various groups of people, including laundry fragrances. Laundry perfumes come in a variety of scen$ts, such as fruity, floral, a combination of fruit and floral, and woody aromas. These fragrances are typically applied during the final stage of the laundry process. Currently, customers receive their laundry with a randomly selected scent based on the availability at the laundry service, which means they cannot choose the fragrance they prefer. Therefore, a Vending Machine (VM) design is needed to allow customers to select their desired laundry perfume. The VM is designed using the Finite State Automata (FSA) approach, specifically the Non-Deterministic Finite Automata (NFA) type, as it can accommodate multiple conditions for a single option. The development of the NFA method involves stages such as business process analysis, state diagram creation, VM design, and system testing. The results of this study indicate that the implementation of this VM simplifies the process for customers to choose their preferred laundry perfume, ensuring that their laundry has a scent that matches their personal preferences.
PENINGKATAN AKURASI KNN DALAM PREDIKSI KELULUSAN MAHASISWA MELALUI OPTIMASI PARAMETER PSO Desvia, Yessica Fara; Pratama, Febryawan Yuda; Wijaya, Ganda
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.7076

Abstract

Predicting student graduation is a crucial aspect in supporting academic planning and ensuring timely completion of studies. However, no prior research has specifically applied the integration of K-Nearest Neighbor (KNN) and Particle Swarm Optimization (PSO) for graduation prediction using student data. This study aims to evaluate the effectiveness of combining KNN and PSO in improving classification accuracy. The KNN algorithm is used for classification, while PSO is implemented as a feature selection technique to identify the most relevant attributes. A dataset of 750 student records was processed through data preprocessing and attribute weighting using PSO, followed by model training and evaluation with 10-fold cross-validation. The evaluation results show that the KNN+PSO model improves accuracy from 80.91% to 84.31%, along with increases in precision and recall. These findings indicate that PSO enhances the performance of KNN, particularly in identifying students likely to graduate on time
Empowering Local MSMEs in Purwakarta through AI-Based Market Intelligence (a Case Study at Ceramic Product) Sjaifudian, Hetifah; Husnah, Nuzul; Mardiana, Nina; Pratama, Febryawan Yuda; Syafei, M. Yani; Srisuk, Prattana; Rosida, Nina; Kurniawan, Dede
International Journal Of Community Service Vol. 6 No. 2 (2026): May 2026 ( Indonesia - Thailand - Philippines)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i2.984

Abstract

This international community service program aims to empower local Micro, Small, and Medium Enterprises (MSMEs) in Purwakarta through the application of AI-based market intelligence, focusing on ceramic product MSMEs. Unlike conventional digital marketing assistance, this program emphasizes the development of market-sensing capability, customer insight, product positioning, and data-informed promotional planning. The activity was implemented through participatory training, guided practice, mentoring, and evaluation involving lecturers, students, an international academic partner, and local MSME actors. Participants were introduced to practical AI tools to identify customer segments, generate product narratives, analyze market opportunities, and develop promotional content for ceramic products. The results show that the program improved participants’ awareness of market-oriented decision-making and enhanced their ability to translate product uniqueness into customer-centered marketing messages. Participants were also able to develop simple customer personas, AI-assisted product descriptions, competitor observation notes, and digital content ideas. The activity demonstrates that AI-based market intelligence can be used as an empowerment instrument for MSMEs when introduced through simple, contextual, and practice-based methods. Continuous mentoring is recommended to strengthen digital confidence, improve content consistency, and support sustainable market expansion for local ceramic MSMEs.
Co-Authors Dede Kurniawan Desvia, Yessica Fara Ganda Wijaya, Ganda Husnah, Nuzul mardiana, nina Rosida, Nina Sjaifudian, Hetifah Srisuk, Prattana Suhendri Suhendri Syafei, M. Yani