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All Journal International Journal of Computer and Information System (IJCIS) Jurnal Ekonomi dan Bisnis Islam (JEBI)
Aca, Rukman
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Swarm Intelligence Framework using Hybrid ACO–PSO for Lecture Scheduling in Higher Education Hidayat, Rahmad; Sri Lestari, Ninik; Sukirno, Sukirno; Rosmalina, Rosmalina; YS, Herawati; Ramady, Givy Devira; Suhana, Asep; Willa Permatasari, Raden; Sukandi, Ganjar Kurniawan; Afiyah, Salamatul; Aca, Rukman; Subawi, Handoko
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.252

Abstract

Complex combinatorial optimization problems that must meet various hard constraints and soft constraints occur in lecture scheduling. A feasible and high-quality schedule in limited computing time is often difficult to produce using conventional methods. In this study, a hybrid optimization model is proposed that combines Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO), the aim of which is to improve solution quality and convergence speed. In this model, ACO builds solutions based on pheromone intensity and heuristic information, while PSO is used to dynamically adjust ACO parameters through learning from individual and global search experiences. The model is implemented using MATLAB R2023b and tested on real data involving 10 courses, 4 classrooms, and 6 time slots per day. The ACO+PSO approach is significantly able to reduce the penalty value. This approach reflects better fulfillment of constraints and is the result of experiments obtained. Compared to pure ACO, the hybrid method shows more consistent and stable performance in various trials. Visualization of parameter convergence also strengthens the effectiveness of this hybrid approach in finding the optimal parameter configuration. This research contributes to the development of an intelligent lecture scheduling system that is adaptive and aligned with institutional policies.
Mengapa Ibu Rumah Tangga Boikot Produk Mengungkap Faktor-faktor Pemicunya Permatasari, Raden Willa; Yulianto, Tri; Aca, Rukman
Jurnal Ekonomi dan Bisnis Islam (JEBI) Vol. 5 No. 2 (2025): September
Publisher : FAKULTAS EKONOMI DAN BISNIS ISLAMMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jebi.v5i2.4457

Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi keputusan boikot produk di kalangan ibu rumah tangga. Metode penelitian yang digunakan adalah kualitatif dengan wawancara mendalam terhadap 15 ibu rumah tangga yang berusia antara 25 hingga 50 tahun. Hasil penelitian menunjukkan bahwa pengalaman pribadi, nilai dan keyakinan, kualitas produk, dampak lingkungan dan sosial, serta pengaruh keluarga dan teman merupakan faktor utama yang mempengaruhi keputusan boikot. Selain itu, media sosial berperan penting sebagai sumber informasi yang meningkatkan kesadaran tentang isu-isu sosial dan politik. Temuan ini memberikan wawasan yang berharga bagi pemangku kepentingan dalam memahami perilaku konsumen dan merancang strategi yang lebih efektif dalam merespons isu-isu sosial yang kompleks.
Co-Authors Givy Devira Ramady Permatasari, Raden Willa ROSMALINA ROSMALINA, ROSMALINA Salamatul Afiyah Sri Lestari, Ninik Subawi, Handoko Suhana, Asep Sukandi, Ganjar Kurniawan Sukirno Sukirno Tri Yulianto Willa Permatasari, Raden Ys, Herawati