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All Journal Journal of Information Systems and Informatics JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Gotong Royong
Ananda Irfansyah
Universitas Catur Insan Cendekia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Languange, Linguistic, Communication & Media Social Sciences

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Pemanfaatan Lomba Tari Sebagai Media Edukasi Budaya Dan Apresiasi Seni Dalam Cirebon Kartini’s Day 2024 Fernando Valentino; Ananda Irfansyah; Marsani Asfi
Gotong Royong Vol. 2 No. 2 (2025)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/gr.v2i2.132

Abstract

Pelestarian budaya lokal menjadi tantangan di tengah arus globalisasi yang memudarkan nilai-nilai tradisional, khususnya di kalangan generasi muda. Kegiatan pengabdian ini bertujuan untuk mendeskripsikan dan mengevaluasi lomba tari tradisional sebagai media edukasi budaya dan apresiasi seni dalam rangka Cirebon Kartini’s Day 2024. Metode pelaksanaan dibagi dalam tiga tahap, yaitu: perencanaan, pelaksanaan, dan evaluasi. Kegiatan dilaksanakan di Atrium Grage Mall dan melibatkan enam kelompok tari dari berbagai sekolah di Kota dan Kabupaten Cirebon. Peserta menampilkan koreografi bertema emansipasi perempuan yang dikombinasikan dengan unsur budaya lokal. Penilaian dilakukan oleh dewan juri dari kalangan akademisi, seniman, dan influencer, mencerminkan pendekatan multidisipliner dalam mengapresiasi seni. Hasil kegiatan menunjukkan bahwa lomba tari tidak hanya menjadi ajang kompetisi, tetapi juga efektif sebagai sarana pendidikan budaya yang menyenangkan, partisipatif, dan inspiratif. Kegiatan ini mendorong munculnya semangat pelestarian budaya di kalangan generasi muda serta memperkuat identitas lokal. Beberapa kendala teknis yang muncul selama pelaksanaan menjadi bahan evaluasi untuk peningkatan kegiatan serupa di masa depan. Secara keseluruhan, lomba tari terbukti sebagai alternatif strategis dalam membangun kesadaran budaya dan meningkatkan apresiasi seni tradisional.
Sistem Pendukung Keputusan Evaluasi Kelayakan Analisis Dampak Lalu Lintas Menggunakan Metode V/C Ratio dan Fuzzy-AHP Ananda Irfansyah; Lena Magdalena; Mesi Febima
Jurnal Teknik Informatika dan Komputer Vol. 5 No. 2 (2026): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v5i2.24695

Abstract

This study addresses the manual and subjective evaluation of Traffic Impact Analysis (Andalalin) feasibility at the Cirebon City Transportation Agency, constrained by a strict three-working-day statutory review deadline. To produce an objective and consistent assessment, this study applies the V/C Ratio referring to PKJI 2023 for Road Performance, the SRP Index for Parking Capacity, Fuzzy-AHP with Triangular Fuzzy Numbers to weight four evaluation criteria, and classical AHP to rank applicant feasibility, realized through a web-based DSS named SILALIN. Data were collected through observation, interviews, and documentation, covering 126 road segments and Andalalin documents from five sample applicants across two submission years, with criteria weights from five experts. The Fuzzy-AHP evaluation shows Parking Capacity as the most influential criterion (39.0%), followed by Road Performance (25.0%), Traffic Generation (20.2%), and Road Characteristics (15.8%), with a Consistency Ratio of 0.059 confirming consistency. The resulting ranking places YOMART as Most Feasible, an animal-feed industry and a hotel as Feasible, and a livestock-feed industry as Not Feasible within the 2025 group, while the sole 2026 applicant is ranked Most Feasible. SILALIN integrates these methods into one platform, giving Evaluators and the Head of the Traffic Division an objective, consistent, and auditable basis for feasibility decisions.
Actor-Critic Reinforcement Learning for Personalized STEM Learning Path Optimization Muhammad Hatta; Lena Magdalena; Dwi Pasha Anggara Putra; Yohanes Michael Fouk Runa; Ananda Irfansyah; Fernando Valentino
Journal of Information System and Informatics Vol 7 No 3 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i3.1270

Abstract

This study addresses the critical need for adaptive learning in non-formal education settings, particularly Community Learning Centres (PKBM) in Indonesia, where student heterogeneity and limited resources challenge conventional teaching methods. We developed a personalized learning path optimization model using Actor-Critic Reinforcement Learning (RL) to enhance STEM competency development. The novel framework integrates cognitive, affective, and personality features to dynamically adjust material difficulty based on real-time analysis of student cognitive states (quiz performance, completion rate) and affective conditions (emotional level), moving beyond static predictive approaches. Experimental results on a synthetic dataset demonstrate that the Actor-Critic agent achieves statistically significant higher rewards (-2.92 vs -3.01, p<0.05) and greater output stability compared to a random baseline. Although the absolute reward difference is modest, it reflects more consistent adaptive policy performance, despite limited effect size (Cohen's d=0.0317). Feature importance analysis confirms that quiz_score and emotion_level are the dominant factors influencing adaptive recommendations, while personality traits show negligible impact. The framework offers a viable pathway for scalable, personalized learning in resource-constrained environments. Future work should validate the model with real-world student data and refine reward functions to strengthen practical impact.
Co-Authors Dwi Pasha Anggara Putra Fernando Valentino Lena Magdalena Marsani Asfi Mesi Febima Muhammad Hatta Yohanes Michael Fouk Runa