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All Journal Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Teknik Informatika (JUTIF)
Alim, Abdullah
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Computer Science & IT Economics, Econometrics & Finance

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The Influence of Halal Certification (Self-Declaration) on the Purchase Intention of MSME Food Products in Bandung Alim, Abdullah; Aziz, Fauzan
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 3 (2024): Dinasti International Journal of Economics, Finance & Accounting (July - August
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i3.2813

Abstract

The halal product market has garnered significant attention worldwide. Consumers are increasingly cognizant of the importance of selecting products that adhere to the halal principles of the Islamic faith. Halal certification plays a critical role in bolstering consumer confidence in a product. This study aims to explore the influence of halal certification on the purchase intention of Micro, Small, and Medium Enterprises (MSMEs) food products in Bandung. Specifically, it examines the impact of self-declared halal certification on consumers' purchasing decisions. The research sample comprised 100 respondents, and data analysis included validity and reliability tests, data normality tests, correlation analysis, simple linear regression analysis, and the coefficient of determination, utilizing the SPSS program. The findings indicate that self-declared halal certification has a positive and significant effect on the purchase intention of MSME food products in Bandung. This is evidenced by a t-value of 19.408 and a p-value (Sig) of 0.000, which is below the 5% alpha threshold, thereby confirming the research hypothesis.
Hybrid Heuristic Algorithms for Optimizing University Graduate-Job Matching: A Quantitative Study in Indonesia's 2025 Labor Market Nidauddin, Ikbal; Prabowo, Kresno Murti; Alim, Abdullah
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5421

Abstract

University graduate unemployment in Indonesia reached critical levels with 1,010,652 unemployed graduates in 2025 (BPS data), representing approximately 15% of national unemployment due to severe skills mismatch between education outcomes and labor market demands. This research develops and validates a novel hybrid heuristic algorithm integrating Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA) with adaptive diversity-based switching mechanisms to optimize graduate-job matching through multi-objective competency profile alignment. The quantitative experimental study collected data from 200 university graduates across five academic disciplines and 5 major recruiting companies through structured surveys and competency assessments. The proposed GA-PSO-SA hybrid algorithm with adaptive switching achieved 92.4% matching accuracy (35% improvement over traditional methods), 42% faster convergence compared to single algorithms (10.6s vs. 18.4s for pure GA), and solution quality of 8.9/10. Statistical validation through paired t-tests demonstrated highly significant improvements (p < 0.001, Cohen's d > 2.0) across all comparisons. The system successfully reduces average job search duration by 40% (from 6+ months to 3.6 months) and improves graduate placement success rates by 28%. This research contributes a theoretically-grounded and empirically-validated intelligent recommendation system addressing Indonesia's graduate employment crisis through computational optimization, with implications for national workforce development and recruitment efficiency enhancement.
Co-Authors Fauzan Aziz Nidauddin, Ikbal