Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Unri Conference Series: Community Engagement Jurnal ICT : Information and Communication Technologies SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Permana, Nana Yudi
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Transportation

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Use of Differential Evolution Algorithm for Parameter Optimization in Weather Prediction Models Permana, Nana Yudi; Sari, Deassy Ratna Juwita
Jurnal ICT : Information and Communication Technologies Vol. 14 No. 2 (2023): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v14i2.137

Abstract

This research aims to optimize the parameters in a weather prediction model using the Differential Evolution (DE) algorithm, with a focus on improving the accuracy of more reliable weather predictions. The main problems faced in developing weather prediction models are model complexity and uncertainty in parameterization. The DE method is used to adjust the complex parameters in the model, resulting in a significant improvement in weather prediction accuracy based on evaluation using observational data. The implications of this research are that it makes a valuable contribution to our understanding of parameter optimization in weather prediction, as well as improving our ability to predict atmospheric conditions more accurately and reliably.
Optimization of K-Means Algorithm for Big Data Clustering Using Computational Distribution Approach Sari, Deassy Ratna Juwita; Permana, Nana Yudi
Jurnal ICT : Information and Communication Technologies Vol. 14 No. 2 (2023): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v14i2.138

Abstract

In the growing digital era, big data clustering becomes a major challenge in data analysis, especially with the well-known K-Means Algorithm that has limitations in dealing with large-scale data. This study aims to optimize the K-Means Algorithm for big data clustering with a computational distribution approach, to improve clustering efficiency and accuracy. We use the computational distribution approach to process data in parallel across multiple computing nodes, optimize memory usage, develop an intelligent cluster center selection algorithm, and optimize communication between nodes. The implementation of this optimization method successfully improves the efficiency and accuracy of big data clustering, reduces execution time and memory consumption. The practical implications include better business decision making and more effective marketing strategies based on more precise customer data analysis.
PERANCANGAN SISTEM MONITORING AIR KOLAM BERBASIS ANDROID MENGGUNAKAN METODE EXTEREME PROGRAMMING Maulana , Haisyam; Nurlina, Tita; Permana, Nana Yudi
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tilapia cultivation in Kampung Nila Kawali relies heavily on air quality as a key success factor. Currently, air quality monitoring is still done manually, resulting in inaccurate results, especially with a large number of ponds and extensive cultivation areas. This study aims to design an integrated pond quality monitoring and maintenance system tailored to user needs. The system was developed using the Extreme Programming (XP) method, with stages of planning, design, coding, and testing. This method was chosen because it is flexible to changing needs, accelerates development, and improves communication between developers and users. The design results indicate that the system successfully meets user needs in terms of interface and features. The system can display information on air quality parameters, pond locations, maintenance schedules, and air quality history in a concise and easy-to-understand manner. A warning notification feature is also designed to provide immediate information when air quality parameters are outside normal limits or require maintenance action.
Penguatan Kelompok Pengrajin Gula Aren Di Desa Batulawang Melalui Digital Marketing dan Branding Produk Untuk Meningkatkan Pendapatan Solandarika, Wulan; Permana, Nana Yudi; Mukhtar, Mukhtar; Aryansyah, Firman; Febriyani, Sarah; Ramdan, Dadan; Falendra, Randy Malik; Wahyudi, Jajang
Unri Conference Series: Community Engagement Vol 7 (2025): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.7.500-506

Abstract

This community service program aims to address the main question of how digital marketing strategies and product branding can strengthen the capacity of palm sugar artisan groups in Batulawang Village while simultaneously increasing community income. The partner’s main challenges include limited product packaging, a lack of knowledge in digital marketing, and low product competitiveness in broader markets. The program was implemented using a participatory approach through the following stages: (1) identifying partner needs, (2) conducting digital marketing training, (3) providing assistance in designing packaging and brand identity, and (4) evaluating the application of marketing strategies. The results indicate improvements in artisans’ knowledge and skills in using digital media for promotion, the creation of palm sugar product branding with more attractive packaging, and an expansion of marketing reach to online platforms. The measurable initial impact includes an increase in product demand and a rise in the average income of artisan groups. Therefore, this program successfully strengthened community business capacity while also creating opportunities for more sustainable market development.
Co-Authors Aryansyah, Firman Dadan Ramdan Falendra, Randy Malik Febriyani, Sarah Maulana , Haisyam Mukhtar Mukhtar Nurlina, Tita Sari, Deassy Ratna Juwita Solandarika, Wulan Wahyudi, Jajang