Article Per Year (5 Year)
p-Index From 2021 - 2026
3.826
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak ATRABIS: Jurnal Administrasi Bisnis (e-Journal) Jurnal Cahaya Mandalika Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD MANAJEMEN Bulletin of Science Education Jurnal Akuntansi dan Keuangan Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Hukum Prioris Journal of Informatics, Electrical and Electronics Engineering AMMA : Jurnal Pengabdian Masyarakat Fundamental and Applied Management Journal JURNAL RUMPUN MANAJEMEN DAN EKONOMI MERDEKA: Jurnal Ilmiah Multidisiplin Ekliptika: Jurnal Inovasi Teknologi Berkelanjutan International Journal of Economics and Management Research
Rudi Kurniawan
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
Optimizing Email Spam Classification Using Naïve Bayes and Principal Component Analysis Shinta Virgiana; Rudi Kurniawan; Tati Suprapti
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.803

Abstract

In the ever-evolving digital era, email spam filtering is an important challenge to maintain the security and comfort of email services. The Naïve Bayes algorithm is widely used for spam email classification because of its ability to manage large data, although there are still limitations in terms of accuracy, precision and recall. This research aims to improve spam email classification performance by combining Naïve Bayes and Principal Component Analysis (PCA) to optimize model accuracy and explore optimal parameters in the reduction dimension. The research methodology goes through the Knowledge Discovery in Database (KDD) stages which include selection, preprocessing, transformation using PCA, development of a classification model using Naïve Bayes, and evaluation of model performance. The dataset used consists of emails categorized as spam and non-spam. The experimental results show that the combination of Naïve Bayes and PCA achieves the highest accuracy of 99.24% with 7 principal components. The fixed number of components approach shows better performance compared to preserving variance, emphasizing the importance of selecting appropriate PCA parameters in improving the effectiveness of model classification. This research shows that PCA not only reduces the complexity of the dataset but also increases the efficiency of the classification algorithm.
Usability Scale System Method on Convogenius Platform for MSME Business Optimization Syaiful Imanudin; Rudi Kurniawan; Umi Hayati
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.810

Abstract

Usability is a critical factor in the successful adoption of technology, particularly for AI-based platforms designed to support micro, small, and medium enterprises (MSMEs). Convogenius AI is developed to assist MSME operations, yet its effectiveness and user-friendliness must be evaluated. This study aims to assess the usability of the Convogenius AI platform using the System Usability Scale (SUS) method and identify areas requiring improvement. The research employs a SUS survey to measure aspects such as ease of use, functional integration, and the need for technical support. The findings reveal favorable SUS scores for ease of use (average 3.04) and user intention to repeatedly use the platform (average 3.05). However, deficiencies are noted in system complexity (average 2.96) and technical support requirements (average 2.95). Overall, Convogenius AI is accepted by MSME users but requires enhancements in interface design and consistency to improve user experience. These improvements can potentially increase user satisfaction and support the operational efficiency of MSMEs.
Optimizing the Classification Model for Plant Medicine Supplies Using the Decision Tree Algorithm at the Anugrah Tani Shop, Brebes Regency: Inggris Saeful Amri; Rudi Kurniawan; Saeful Anwar
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.825

Abstract

Retail businesses in the agricultural industry often face difficulties in estimating inventory needs, especially plant medicines which are important for protecting plants from pests and diseases. The lack of an accurate inventory prediction system can cause stock discrepancies, as happened at the Anugrah Tani Store, Brebes Regency, thereby disrupting operations and customer satisfaction. This research uses the Decision Tree classification technique to increase the accuracy of predicting the need for plant medicine supplies, with a clustering approach using the K-Means algorithm to determine the optimal K value through the Davies-Bouldin Index (DBI) calculation. A DBI value of -0.065 indicates good cluster quality with an optimal K of 2, where Cluster 0 has high inventory needs (1138 data) and Cluster 1 has low needs (4 data). The analysis results show that the accuracy level of the Decision Tree model is 98.25%, which is quite high. This model is not only able to predict inventory patterns accurately but also provides in-depth insights to support stock decision making. This research proves that the Decision Tree algorithm can help inventory management with a faster response to customer needs, while contributing to the development of machine learning-based classification models for the agricultural and retail sectors.
Association Analysis of Printing and Photocopying Sales Data in Adzmi Art Shop Cirebon Uses the FP-Growth Algorithm Suteja; Rudi Kurniawan; Yudhistira Arie Wijaya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.830

Abstract

In the digital era, transaction data analysis plays a crucial role in strategic decision-making, especially for SMEs such as Toko Adzmi Art in Cirebon Regency. This study aims to develop a sales data association model using the FP-Growth algorithm to identify product association patterns. Daily transaction data over a year were collected, processed through data cleaning, standardization, and transformation, and analyzed using RapidMiner software. Minimum support and confidence parameters were applied to evaluate the frequency and strength of product relationships. The results show that the combination of "Photocopy" and "Passport Photo" services has a confidence of 0.491 and a support of 0.061, with "Photocopy" as the most in-demand product (support 0.497). These findings open opportunities for bundling strategies and inventory optimization to enhance operational efficiency. This model provides an empirical foundation for SMEs to leverage data mining technology to improve competitiveness and customer satisfaction.
Optimizing Grocery Sales Data Grouping Using the Fuzzy C-Means Algorithm: Case Study of Nafhan Mart Store Nafhan Khairuddin Fathin; Rudi Kurniawan; Saeful Anwar
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.842

Abstract

The sale of staple food products at Nafhanmart Store, Cirebon Regency, includes essential household items such as rice, cooking oil, sugar, and flour, which maintain stable demand as basic necessities. This study focuses on improving sales clustering models at Nafhanmart using the Fuzzy C-Means (FCM) algorithm, a prominent method in data mining. Key factors influencing sales include price, sales volume, demand, and remaining stock. Accurate clustering analysis is vital for strategic inventory management and profit maximization. The research applies the Knowledge Discovery in Database (KDD) methodology, encompassing data selection, preprocessing, transformation, FCM implementation, and evaluation using the Davies-Bouldin Index (DBI). Attributes analyzed include price, sales volume, demand, and remaining stock. The FCM algorithm clusters data based on patterns, with DBI evaluating clustering quality and determining optimal clusters. Data analysis and visualization were conducted using RapidMiner. Results show that the FCM algorithm achieves optimal clustering quality with a DBI score of 0.452 for two clusters, outperforming three clusters (DBI 0.474) and four clusters (DBI 0.536). Price and demand are identified as critical factors influencing clustering outcomes. These findings enhance the clustering model, offering actionable insights for inventory management and sales strategy, while showcasing the FCM algorithm's adaptability for other SMEs to support data-driven decision-making.
Pelaksanaan Promosi Tiktok Ditoko Online Devaira Nabila Salsa Azzahra; Rudi Kurniawan
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 2 No. 3 (2025): Mei
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v2i3.4714

Abstract

The development of digital technology has revolutionized how small and medium enterprises (SMEs) implement marketing strategies, particularly through social media platforms such as TikTok. This study aims to analyze the TikTok-based content promotion strategy carried out by Toko Devaira, a local fashion brand that has successfully built brand awareness and increased sales through a creative and structured approach. Using a qualitative descriptive method, this research explores the creative process behind promotional content creation, from concept development and production to content distribution using TikTok features such as try-on hauls, dance challenges, and live streaming. The findings indicate that Toko Devaira's promotional strategy reflects the application of Integrated Marketing Communication (IMC) and the AIDA model, successfully generating high engagement through direct interaction with the audience. This study provides practical insights for MSME players in developing relevant, effective, and consumer-experience-based digital marketing strategies.  
MEMBANGUN KARAKTER REMAJA DALAM PERSPEKTIF PENDIDIKAN ISLAM Ferdi Saputra; Tuti Nuriyati; Rudi Kurniawan; Maulana Ridwan
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 5 (2025): Juni
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i5.4720

Abstract

The development of adolescent character from the perspective of Islamic education serves as a response to the various moral and social challenges faced by the younger generation in the modern era. Adolescent character, especially religious character, is a crucial aspect in shaping a whole, balanced, and virtuous personality. Using a descriptive qualitative method through literature review, the authors examine Islamic sources such as the Qur’an, Hadith, and scholarly perspectives to formulate effective character-building methods, including role modeling, habituation, advice, and storytelling. Islamic education is regarded as a strong spiritual and moral foundation, and it serves as an integral solution for guiding adolescents to become faithful, responsible, and positively contributing members of society. The authors hope this work provides both theoretical and practical contributions for educators, parents, and educational institutions in implementing Islamic values in the lives of adolescents.
The Role of Islamic Religious Education Teachers in the Formation of Good Morals during the Covid-19 Pandemic at SMP IT Al-Asror Yunia Eka Putri; Nurul Fauziah; Lisnawati; Joko Supriyanto; Rudi Kurniawan; Kalimatus Saroh; Latifah; Muhammad Iqbaludin; Mamlu'atul Khoiru Nisa; Irham Zaini Mubarok
Bulletin of Science Education Vol. 3 No. 3 (2023): Bulletin of Science Education
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bse.v3i3.1847

Abstract

The aim of this study is to explore the role of PAI teachers in shaping students' moral character during the COVID-19 pandemic at SMP IT Al-Asror, Sumbersari Village, Sekampung District, East Lampung Regency, as well as to identify the supporting and inhibiting factors involved in this process. This research employs a qualitative approach. The informants include the school principal, teaching staff, parents, and students. Data collection techniques used are observation, interviews, and documentation. The validity of the data is ensured through triangulation of methods and sources. Data analysis follows the Miles and Huberman model, which involves data reduction, data presentation, and drawing conclusions. The results of the study reveal that PAI teachers played a significant role in developing students' moral character during the pandemic through collaboration with parents regarding students' learning discipline at home, mandatory prayers, completion of assignments, and students' attitudes toward their families and surroundings. The supporting factors include: (1) the role of parents or guardians, (2) advancements in technology, and (3) the use of social media. The inhibiting factors include poor internet connection, students' personal attitudes, the role of parents or guardians, lack of behavioral supervision at home, and students' laziness in completing assignments. Keywords: Good Morals, Religious Education Teachers, and Inhibiting Factors
Pemberdayaan Kelompok Tani melalui Sistem Informasi Pertanian Berbasis Android Riri Narasati; Rudi Kurniawan; Fikri Firmansyah; Gilang Ramadhan
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Farmer group empowerment is one of the important strategies in increasing agricultural productivity and farmer welfare. This research aims to develop and implement an Android-based agricultural information system as a medium for empowering farmer groups in Nganjuk Regency. The system is designed to provide access to agricultural information in a fast, accurate, and relevant manner, including weather information, commodity prices, cultivation techniques, and consultation with agricultural extension workers. The research method used is descriptive qualitative research with a case study approach. The system development process refers to the Waterfall model which includes the stages of analysis, design, implementation, testing, and maintenance. The implementation results show that the use of an Android-based information system significantly increases farmer group involvement in agricultural activities, accelerates the decision-making process, and improves access to agricultural information resources. In addition, the system facilitates two-way communication between farmers and extension workers, which was previously constrained by time and location limitations. The conclusion of this research is that information technology, especially Android applications, has great potential in empowering farmer groups in a sustainable manner. It is hoped that this system can be adopted more widely by other regions as an information technology-based farmer empowerment solution.
Pelatihan Video Editing untuk Siswa dan Pemuda dalam Industri Kreatif Digital Rudi Kurniawan; Ryan Hamonangan; Hilda Novia Ramadani; Ibnu Fajri
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

In the rapidly growing digital era, the need for skills in the creative industry is very important, especially in the field of video editing. Video editing training for students and youth aims to improve competence and practical skills that are relevant to current industry needs. This training activity was organized by Karang Taruna Kelurahan Lolu Selatan, in collaboration with the Digital Talent Indonesia Course and Training Institute (LKP), and targeted students and youth in Palu City who have an interest in digital creative fields. The training method used a hands-on approach with materials covering the basics of video editing, introduction to software, shooting techniques, and audio visual editing. The results of this training showed an increase in participants' knowledge and skills in using editing software and understanding the video production process. In addition, participants also obtained certificates as a form of recognition of the competencies obtained. This program is expected to be the first step in preparing the younger generation to compete in the world of work, especially in the creative industry sector. In conclusion, video editing training not only provides the benefits of technical skills, but also encourages creativity, innovation, and sustainable youth empowerment.
Co-Authors ., Rusliyawati Ajudin Andika Isma Andina Dwijayanti Antoni Zulius Arif Rinaldi Dikananda Budi Santoso Dadang Sudrajat Defrizal Defrizal Dian Prawitasari Diva Aulia Nurfitriani Dwi Eko Eva Yuniarti Utami Fachry Abda El Rahman Fatihanursari Dikananda Ferdi Saputra fikri firmansyah Fitriyana M. Rukin Herry Subagyo Hilda Novia Ramadani Ibnu Fajri Ida Farida iis Riyana Irham Zaini Mubarok Joko Supriyanto Kalimatus Saroh Khadeeja Kushariyadi LATIFAH Lisnawati Mahda, Muhammad Mamlu'atul Khoiru Nisa Martanto Maulana Ridwan Mochammad Imron Awalludin Muhammad Iqbaludin Nabila Salsa Azzahra Nadia Ayu Majiid Nafhan Khairuddin Fathin Novianti Indah Putri NUR HAMIDAH Nurlaila Syarfiah Asfo Nurul Fauziah Nurwijayanti Oktoriza, Linda Ayu Prima Vandayani Riri Narasati Ryan Hamonangan Saeful Amri Saeful Anwar Salsa Filiya Santi Nurjulaiha Setiyo Adi Wibowo Shinta Virgiana Suhita Whini Setyahun Suteja Syaiful Imanudin Tati Suprapti Tirta, M Sandy Trian Nurmansyah Tuti Nuriyati Umi Hayati Windi Herlita Vidila Yudhistira Arie Wijaya Yunia Eka Putri Yuyun Taufik Zen Munawar Zul Fahnur Zakaria Zulfa Hana Aqliyah