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All Journal ILKOM Jurnal Ilmiah Parameter: Jurnal Matematika, Statistika dan Terapannya
Ryo Hartawan Sasolo
Institut Teknologi Bacharuddin Jusuf Habibie
Computer Science & IT Mathematics

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Swarm-Genetics: A Hybrid PSO-GA Regeneration Model for Global Optimization Benchmark Problems Aprizal Resky; Zaitun Zaitun; Ryo Hartawan Sasolo; Andi Isna Yunita
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 5 No 1 (2026): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv5i1pp45-58

Abstract

Particle Swarm Optimization (PSO) is widely used in global optimization due to its simple structure and fast convergence, but it may suffer from premature convergence in multimodal search spaces. This study proposes Swarm-Genetics, an iteration-wise hybrid PSO-GA regeneration framework that combines PSO-based particle movement with Genetic Algorithm operators. In each iteration, particles are first updated using PSO velocity and position equations, then regenerated through crossover and mutation, followed by the selection of the best particles for the next iteration. The proposed method was evaluated on fourteen benchmark functions and compared with standard PSO and GA using mean fitness values. The results show that Swarm-Genetics achieved the lowest mean fitness values across the tested benchmark functions, with several cases producing mean errors close to zero, such as and It also obtained a lower mean value on the Schwefel function than both baseline methods, indicating better exploration in a complex multimodal landscape. These findings provide descriptive numerical evidence that genetic regeneration can improve PSO search performance by enhancing exploration while maintaining exploitation-oriented swarm guidance.
Comparative Analysis of Social Media Usage Duration Among Vocational High School Students Using A Data Analytics Approach Wakhid Yunendar; Anas Anas; Ryo Hartawan Sasolo
ILKOM Jurnal Ilmiah Vol 18, No 2 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i2.3122.363-377

Abstract

This study aims to analyze and compare the duration of social media usage among Vocational High School (SMK) students in Parepare City, specifically at SMKN 2 and SMKN 3, using a quantitative analytical approach based on descriptive and inferential statistics. The study involved 100 students who were randomly selected from both schools. The primary data in the form of the duration of social media usage were obtained from screen time records on students' smartphones for three consecutive days, while a Likert-scale questionnaire was used as supporting data to describe patterns and tendencies of usage. Data analysis included descriptive statistics, an independent t-test to compare the duration of usage between schools, and a one-way ANOVA test to examine differences in duration among social media platforms. The results of the analysis showed that there was no significant difference in the duration of social media usage between students of SMKN 2 and SMKN 3 (p 0.05). However, there was a significant difference among platforms (p 0.001), with TikTok as the dominant platform with an average of 436.4 minutes over three days, followed by WhatsApp (345.4 minutes), Instagram (264.0 minutes), and YouTube (185.0 minutes). The average duration of students' social media usage reached approximately 6–7 hours per day, which is relatively higher compared to national reports. This comparison is indicative considering the differences in platform definitions and measurement methods. The findings of this study indicate the need for digital literacy assistance in the school environment so that social media usage can be managed more wisely and does not negatively affect the students' learning process
Co-Authors Anas Anas Andi Isna Yunita Resky, Aprizal Wakhid Yunendar Zaitun Zaitun