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All Journal JOIV : International Journal on Informatics Visualization Journal of Robotics and Control (JRC) Humanism : Jurnal Pengabdian Masyarakat International Journal of Robotics and Control Systems Decode: Jurnal Pendidikan Teknologi Informasi Journal of Software Engineering and Information System (SEIS) Jurnal Riset Sistem dan Teknologi Informasi Jurnal Pengabdian kepada Masyarakat (PEMAS) Scientific Journal of Computer Science
Dianda Rifaldi
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Religion Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Machine Learning 5.0 In-depth Analysis Trends in Classification Dianda Rifaldi; Tri Stiyo Famuji; Setiawan Ardi Wijaya; Ahmed Jaber Abougarair; Phichitphon Chotikunnan; Alfian Ma'arif; Furizal
Scientific Journal of Computer Science Vol. 1 No. 1 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjcs.v1i1.2025.18

Abstract

In the era of Technology 5.0 Machine Learning continues to show significant advancements across various sectors. This study aims to examine the latest trends in Machine Learning classification, focusing on four key approaches Explainable Artificial Intelligence, Federated Learning, Transfer Learning, and Generative Adversarial Networks. The methodology involves a comprehensive literature review of research in Asia and experimentation with related datasets. The findings indicate that Explainable Artificial Intelligence enhances transparency and accuracy in data classification, Federated Learning enables decentralized learning while safeguarding data privacy, Transfer Learning improves accuracy with small datasets, and Generative Adversarial Networks aids in data augmentation for better model training. In conclusion, these techniques not only enhance the efficiency and accuracy of classification but also open up new opportunities for innovation in various fields, including healthcare, transportation, and cybersecurity.
IMPLEMENTASI K-MEANS MENGUKUR KEPUASAN SISWA TERHADAP PELAYANAN PADA SMKS PELITA RAYA JAMBI Saputra, Vanji; Rifaldi, Dianda; Ramadhan, Fauzan Purnama; Mulyadi, Iriene Putri
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 1 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i1.9636

Abstract

Education plays a strategic role in improving the quality of human resources; therefore, the quality of educational services must be continuously evaluated. Student satisfaction is an important indicator in assessing school service quality, as students actas the primary customers of educational services. SMK Swasta Terpadu Pelita Raya Jambi needs to measure student satisfaction to enhance service quality and institutional competitiveness.This study applies a data mining approach using the K-Means Clustering algorithm to analyze student satisfaction with school services. Data were collected through questionnaires distributed to 319 students using a Likert scale. The measurement of student satisfaction was based on five service quality dimensions: tangibles,reliability, responsiveness, assurance, and empathy. The research stages included data collection, data cleaning, data transformation, and data processing using both manual calculations and SPSS software.The results indicate that student satisfaction data were grouped into three clusters. The first cluster consisted of 183 students who were satisfied with school services, the second cluster included 30 students who were moderately satisfied, and the third cluster comprised 106 students who were dissatisfied. The clustering results obtained using SPSS showed a similar pattern, although slight differences in cluster membership occurred due to random centroid initialization.In conclusion, the K-Means algorithm effectively clusters student satisfaction levelsand provides valuable insights for school management. The clustering results can serve as a basis for evaluating and improving service quality to enhance student satisfaction at SMK Swasta Terpadu Pelita Raya Jambi
PENERAPAN E-COMMERCE DENGAN METODE CRM BERBASIS WEBSITE PADA TOKO BATAVIA COLLECTION Mulyadi, Iriene Putri; Yaasin, Muhammad; Rahman, Fadil Aulia; Rifaldi, Dianda; Ramadhan, Fauzan Purma; Saputra, Vanji
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 1 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i1.9736

Abstract

Website-based e-commerce is a crucial strategy for increasing transaction efficiency and fostering stronger relationships with customers, especially in the fashion sector. Among the fashion brands, Batavia Collection uses digital systems with Customer Relationship Management (CRM) integration to make it easier for customers to access product information, conduct online transactions, and communicate wirelessly with customers. The waterfall method is used to build the system, covering the phases of requirement analysis, system design, implementation, and pengujian. CRM integration is useful for managing customer data, supporting sales activities, and expanding personal services. According to the study's findings, operational efficiency has increased, customer satisfaction, and the potential for more extensive market expansion. This system also aids in more systematic promotion and pelaporan processes. The implementation of CRM-based e-commerce can increase Batavia Collection's sales and service quality.
Pendampingan Pembelajaran Anak Usia Dini Berbasis Participatory Action Research (PAR) di TK Kemiri 03 Karanganyar Tristanti, Novi; Fanani, Galih Pramuja Inngam; Rifaldi, Dianda
Jurnal Pengabdian kepada Masyarakat (PEMAS) Vol. 3 No. 1 (2025): November 2025
Publisher : Yayasan Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/pemas.v3i1.123

Abstract

Peningkatan kualitas pembelajaran anak usia dini masih menjadi tantangan, khususnya pada aspek keterlibatan anak dan kompetensi pedagogik pendidik. Kegiatan pengabdian ini menerapkan pendekatan Participatory Action Research (PAR) melalui pendampingan terhadap 45 anak usia 4–6 tahun dan empat pendidik di TK mitra selama enam sesi. Program dirancang secara partisipatif dan berpusat pada anak dengan menerapkan metode learning by playing, storytelling, dan activity-based learning menggunakan media edukatif sederhana. Data dikumpulkan melalui observasi, dokumentasi, dan wawancara, kemudian dianalisis secara deskriptif kualitatif. Hasil kegiatan menunjukkan perubahan positif pada keterlibatan anak dalam pembelajaran, kemampuan mengikuti instruksi, fokus perhatian, interaksi sosial, serta perkembangan awal aspek sosial-emosional dan kognitif. Selain itu, pendidik menunjukkan peningkatan kemampuan dalam merancang pembelajaran variatif dan memanfaatkan media sederhana secara efektif. Pendampingan berbasis PAR terbukti mendukung perbaikan praktik pembelajaran yang lebih kontekstual dan berkelanjutan di pendidikan anak usia dini.
Co-Authors Abdul Fadlil Abdul Fadlil Abdul Fadlil Ahmed Jaber Abougarair Alfian Ma’arif Asno Azzawagama Firdaus Bella Okta Sari Miranda Fanani, Galih Fanani, Galih Pramuja Inngam Fauzan Purma Ramadhan Furizal Furizal, Furizal Herman Herman, - Iriene Putri Mulyadi Mulyadi, Iriene Putri Murinto Phichitphon Chotikunnan Rahman, Fadil Aulia Ramadhan, Fauzan purma Ramadhan, Fauzan Purnama Saputra, Vanji Tri Stiyo Famuji Tristanti, Novi Vanji Saputra Vanji Saputra6 Wijaya, Setiawan Ardi Yaasin, Muhammad